Category: Tutorials
- views: 58
- date: 29 October 2026
- posted by: 0nelove
IFRS 18: Complete Guide with Practical Examples with AI tool
Published 10/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 28m | Size: 1000.37 MB
Master Financial Statement Presentation, P&L Classification, Cash Flow, Operating Profit, MPMs and Disclosures
What you'll learn
Understand the key requirements of IFRS 18 and Ind AS 118 and their differences from IAS 1
Apply the new principles for classifying income and expenses and presenting the Statement of Profit or Loss
Understand and apply aggregation, disaggregation, Management-defined Performance Measures (MPMs), and related disclosure requirements
Analyze practical financial statement examples and apply IFRS 18 and Ind AS 118 requirements to real-world situations
Requirements
No prior knowledge of IFRS 18 or Ind AS 118 is required. A basic understanding of accounting and financial statements is helpful but not essential.
Description
Master IFRS 18 – Presentation and Disclosure in Financial Statements with a practical, easy-to-understand approach.
IFRS 18 introduces significant changes to the presentation and disclosure of financial statements and replaces IAS 1 Presentation of Financial Statements. With IFRS 18 effective for annual reporting periods beginning on or after1 January 2027, understanding these changes is essential for accountants, finance professionals, auditors, financial reporting teams and students preparing for the new reporting requirements.
This course provides apractical and structured guide to IFRS 18, with a particular focus on how the new requirements affect the Statement of Profit or Loss and other financial statement disclosures.
In this course, you will learn
- Thekey differences between IAS 1 and IFRS 18
- The newstructure of the Statement of Profit or Loss
- The new categories:Operating, Investing and Financing
- New defined subtotals, includingOperating Profit andProfit Before Financing and Income Taxes
- Classification ofincome and expenses under IFRS 18
- Howinterest income and interest expense are classified
- The principles ofaggregation and disaggregation
- How to identify and presentmaterial information
-Management-defined Performance Measures (MPMs) and their disclosures
- New requirements relating todisaggregation of expenses
- How to prepare cash flow statement as per IFRS 18
- Practical examples illustrating the application of IFRS 18
- How to Pass Journal Entries
- Important considerations for thetransition to IFRS 18 and comparative information
- Quiz to check your understanding
- IFRS 18 and Artificial Intelligence (AI)
Who this course is for
Accountants, auditors, finance professionals, financial reporting teams, CA/CPA/ACCA students and professionals, and accounting students who want to understand the practical application of IFRS 18 and Ind AS 118 and the transition from IAS 1.
Homepage
https://www.udemy.com/course/ifrs-18-complete-guide-with-practical-examples-with-ai-tool/https://rapidgator.net/file/c3187d035747cf4aad76cc28a700fa00/IFRS_18_Complete_Guide_with_Practical_Examples_with_AI_tool.part2.rar.html
https://rapidgator.net/file/4776a3bca93d504dc298d3f84df43031/IFRS_18_Complete_Guide_with_Practical_Examples_with_AI_tool.part1.rar.html
https://nitroflare.com/view/80130F0BD4206CA/IFRS_18_Complete_Guide_with_Practical_Examples_with_AI_tool.part2.rar
https://nitroflare.com/view/C53D1D772854BCF/IFRS_18_Complete_Guide_with_Practical_Examples_with_AI_tool.part1.rar
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Category: Tutorials
- views: 102
- date: 29 October 2026
- posted by: 0nelove
How Railways Actually Work: A Business Guide | Railways 101
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 30m | Size: 696.3 MB
Understand the fixed corridor, marginal train costs, and the financial mechanics behind railway businesses.
What you'll learn
Explain why the right of way is the core asset and why the second train costs a fraction of the first
Break down the marginal cost of running one more train into crew, fuel, locomotives, maintenance, and terminals
Calculate and interpret the operating ratio from published railway income statements
Separate revenue growth into volume and rate components using carload and revenue ton-mile data
Compare integrated below-rail and above-rail structures with separated access-based systems
Identify how capitalising track renewals versus expensing repairs affects reported profit
Describe how railways carry land, easements, and terminals on the balance sheet at historical cost
Explain how access charges are set and regulated for operators using another company's track
Outline the stages of a rate review and how allowed revenue is determined by regulators
Requirements
None, no prior rail way system working experience required
Description
This course contains the use of artificial intelligence for voice overs. This course explains how railways function as businesses, focusing on the economic and financial principles that drive the industry. It is designed for analysts, bankers, logistics professionals, and infrastructure investors who want to understand railways beyond the surface. You will learn to read railway financial statements, interpret key metrics like the operating ratio, and analyze the impact of fixed infrastructure on costs and strategy.
The course covers the structure of railway operations, from below-rail ownership to above-rail services, and examines how regulation, contracts, and capital decisions shape performance. Through real-world examples and published data, you will see how railways generate revenue, manage costs, and allocate capital. The lessons are taught using clear explanations and practical examples, avoiding jargon and hype. By the end, you will be able to walk through a railway annual report, identify the drivers of profitability, and discuss railway economics with confidence. No prior finance knowledge is required, but a curiosity about how large infrastructure systems work will help.
What you will learn:
1. Explain why the right of way is the core asset and why the second train costs a fraction of the first
2. Break down the marginal cost of running one more train into crew, fuel, locomotives, maintenance, and terminals
3. Calculate and interpret the operating ratio from published railway income statements
4. Separate revenue growth into volume and rate components using carload and revenue ton-mile data
5. Compare integrated below-rail and above-rail structures with separated access-based systems
6. Identify how capitalising track renewals versus expensing repairs affects reported profit
7. Describe how railways carry land, easements, and terminals on the balance sheet at historical cost
8. Explain how access charges are set and regulated for operators using another company's track
9. Outline the stages of a rate review and how allowed revenue is determined by regulators
10. Read segment tables to distinguish traffic mix effects from headline revenue changes
11. Evaluate capital expenditure, dividends, and buybacks against the renewal needs of a corridor
Who this course is for
Analysts and bankers covering transport or infrastructure sectors
Logistics and supply-chain professionals who buy rail freight
Infrastructure investors or engineers moving to the commercial side
Stock researchers want to understand how rail way business work
Homepage
https://www.udemy.com/course/how-railways-actually-work-a-business-guide-railways-101/https://rapidgator.net/file/a9ee924ad8b5b2cef1b253c623eb222a/How_Railways_Actually_Work_A_Business_Guide_Railways_101.rar.html
https://nitroflare.com/view/C93E2991AC0B7D6/How_Railways_Actually_Work_A_Business_Guide_Railways_101.rar
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Category: Tutorials
- views: 154
- date: 29 October 2026
- posted by: 0nelove
Hardening and Secure Configuration: Ports, Baselines, Benchmarks, and Security Scoring
Released 10/2026
With Rahul Kaundal and Itelcotech
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 8m | Size: 459.5 MB
Get a comprehensive, practical, and example-driven intro to system hardening and secure configuration. Learn how to reduce attack surface and protect systems through configuration management.
Course details
This course provides a comprehensive, practical, and example-driven introduction to system hardening and secure configuration, designed for IT professionals, system administrators, security practitioners, and technical leaders seeking to understand how to reduce attack surface and protect systems through disciplined configuration management. Begin by exploring the foundational concepts of system hardening, including what hardening is, why secure configuration matters, the risks posed by default configurations, and how hardening contributes to attack surface reduction. Then examine secure configuration fundamentals, including configuration baselines, secure build standards, configuration drift, and the important distinction between hardening and patching. Examine ports, services, and protocols, including commonly used network ports, the difference between allowed and blocked ports, how to identify and disable unnecessary services, and how port management reduces organizational exposure to attacks. Learn about operating system hardening in detail, including Windows Server and Linux Server hardening basics, account and password policy hardening, file system and permission hardening, and secure administrative access. Study endpoint and workstation hardening, including local admin rights control, application control and software restrictions, device control and removable media restrictions, and endpoint firewall and security settings, followed by server and application hardening covering server role-based hardening, web server hardening, database server hardening, application configuration security, and removing unused components and features. Learn about network device hardening, including router and switch hardening, firewall secure configuration, secure management interfaces, management protocols such as SNMP, SSH, and Telnet, and network device logging and monitoring. Explore cloud and virtualization hardening, covering cloud configuration security basics, virtual machine hardening, storage and access configuration, security group and firewall rule hardening, and identity and permission hardening in cloud environments. Finally, review security benchmarks and standards, including an introduction to security benchmarks, CIS Benchmarks, vendor hardening guides, and internal security baselines, and how these resources are used to measure and maintain secure configurations. By the end of this course, you will have more working knowledge of hardening principles, techniques, and standards across diverse IT environments, so you can implement, assess, and maintain secure configurations that protect organizational systems and data. Note: This course was created by Rahul Kaundal and Itelcotech. We are pleased to host this content in our library.
Skills covered
Hardening, Cybersecurity
https://rapidgator.net/file/ae63699609e34bf5fe2d61a95d6854c7/Hardening_and_Secure_Configuration_Ports,_Baselines,_Benchmarks,_and_Security_Scoring.rar.html
https://nitroflare.com/view/F11F63F68EB137E/Hardening_and_Secure_Configuration_Ports%2C_Baselines%2C_Benchmarks%2C_and_Security_Scoring.rar
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Category: Apps (SEO/Marketing/Design)
- views: 89
- date: 29 October 2026
- posted by: DrZero
File size: 8.37 MB
We provide a robust Microsoft Teams recording solution to help you capture, archive Teams calling, meetings. Evaer is designed to work with the Microsoft Teams desktop application. It is the best recording software for Microsoft Teams.
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Category: Tutorials
- views: 64
- date: 29 October 2026
- posted by: 0nelove
IEC 61010-2-010: Electrical, Thermal, and Mechanical Safety
Published 10/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 34m | Size: 9.71 GB
Learn laboratory heating equipment safety, hazard assessment, electrical insulation testing, thermal protection, and IEC
What you'll learn
Explain the scope and application of IEC 61010-2-010:2014 and identify laboratory equipment used for heating materials that may fall within the standard's scope
Identify potential safety hazards associated with laboratory heating equipment, including electrical shock, excessive temperatures, mechanical failure, pressure
Describe electrical safety and insulation verification principles, including the purpose of insulation testing, transient overvoltage testing, and relevant test
Explain thermal safety and over-temperature protection concepts, including the role of protective devices and the importance of evaluating equipment under speci
Requirements
This course is suitable for students, engineers, technicians, laboratory professionals, equipment manufacturers, quality assurance personnel, and anyone interested in understanding IEC 61010-2-010 safety requirements.
Description
"This course contains the use of artificial intelligence."
Welcome to theIEC 61010-2-010:2014 – Laboratory Heating Equipment Safety, Testing & Compliance Masterclass.
Laboratory heating equipment is widely used in research laboratories, scientific institutions, testing facilities, and industrial applications. Ensuring the safety of this equipment requires an understanding of applicable safety standards, potential hazards, protective measures, and verification procedures.
This course introduces the key safety concepts associated withIEC 61010-2-010:2014, which addresses particular safety requirements for laboratory equipment used for heating materials. It is designed to help students, engineers, technicians, manufacturers, testing professionals, and quality assurance personnel develop a structured understanding of laboratory heating equipment safety and compliance.
Through technical explanations, diagrams, decision trees, and engineering-focused examples, you will explore how safety considerations relate to equipment design, testing, inspection, and technical documentation.
What Will You Learn?
By completing this course, you will develop an understanding of
- The scope and application of IEC 61010-2-010:2014.
- Hazard identification and safety considerations for laboratory heating equipment.
- Electrical safety, insulation, and electrical verification concepts.
- Thermal hazards, hot surfaces, and over-temperature protection.
- Mechanical integrity and pressure-related safety considerations, where applicable.
- First Fault Condition concepts and the role of protective devices.
- The importance of equipment markings, operator instructions, maintenance information, and technical documentation.
- Compliance assessment principles and the role of test evidence in supporting safety evaluations.
Key Topics Covered
1. Introduction to IEC 61010-2-010
Understand the purpose of the standard and its relationship to the safety assessment of laboratory equipment used for heating materials.
2. Hazard Identification and Risk Considerations
Explore potential electrical, thermal, mechanical, and fire-related hazards and understand why these risks must be considered during equipment design and evaluation.
3. Electrical Safety and Insulation
Learn the purpose of insulation verification, transient overvoltage testing, and long-term electrical stress assessment, subject to the applicable requirements.
4. Thermal Safety and Over-Temperature Protection
Understand the importance of temperature control, protective devices, and evaluation of equipment behavior under specified fault conditions.
5. Mechanical Integrity and Pressure-Related Hazards
Explore the safety considerations associated with equipment construction, pressure relief, and vacuum-related structural risks where relevant to the apparatus.
6. Protective Devices and Fault Conditions
Understand the principles behind protective-device operation, verification methods, and the importance of reliable safety functions.
7. Documentation and Compliance Verification
Learn how operator instructions, equipment markings, maintenance procedures, inspection records, and test documentation contribute to a structured safety assessment.
Who Should Take This Course?
This course is suitable for
- Electrical and electronics engineers.
- Laboratory equipment designers and manufacturers.
- Product safety and compliance engineers.
- Testing laboratory professionals.
- Quality assurance and quality control personnel.
- Product certification and regulatory affairs professionals.
- Laboratory technicians and technical personnel.
- Engineering students and recent graduates interested in product safety.
Whether you are new to IEC standards or want to strengthen your existing technical knowledge, this course provides an introduction to the major safety concepts associated with laboratory heating equipment.
Course Requirements
No prior knowledge of IEC 61010-2-010 is required. A basic understanding of electrical engineering, electronics, laboratory equipment, or industrial safety may be helpful but is not mandatory.
You do not need specialized laboratory equipment or testing instruments to follow the educational content.
Why Take This Course?
Understanding safety standards is about more than reading technical clauses. It involves recognizing potential hazards, understanding the purpose of protective measures, identifying relevant verification activities, and maintaining appropriate technical evidence.
This course aims to help you develop a systematic approach to understanding laboratory heating equipment safety and the compliance assessment process.
By studying the concepts presented, you can build a stronger foundation for technical discussions, design reviews, testing activities, and safety documentation.
Start Your Learning Journey Today
Take the next step in your professional development by exploring the safety principles associated with IEC 61010-2-010:2014.
Build your knowledge, strengthen your understanding of safety verification, and develop a more structured approach to laboratory heating equipment compliance.
Learn the standard. Understand the hazards. Support safer equipment design.
Who this course is for
No previous experience with IEC 61010-2-010 is required. A basic understanding of electrical engineering, electronics, laboratory equipment, or industrial safety may be helpful, but motivated beginners are welcome. Whether you are starting your journey in product safety or looking to strengthen your existing technical knowledge, this course will help you understand the key concepts and engineering considerations associated with laboratory heating equipment safety.
Homepage
https://rapidgator.net/file/cfce437ea38d8dad433f05ed0cb18378/IEC_61010-2-010_Electrical,_Thermal,_and_Mechanical_Safety.part10.rar.html
https://rapidgator.net/file/5b2e33b23cae4c46544f7419cb72ed79/IEC_61010-2-010_Electrical,_Thermal,_and_Mechanical_Safety.part09.rar.html
https://rapidgator.net/file/41134b226b06266540de8774a535622d/IEC_61010-2-010_Electrical,_Thermal,_and_Mechanical_Safety.part08.rar.html
https://rapidgator.net/file/ee67495dd2b1db4f256f183e8d308d87/IEC_61010-2-010_Electrical,_Thermal,_and_Mechanical_Safety.part07.rar.html
https://rapidgator.net/file/bdb6b8d777484c71f62d38264b9eec7a/IEC_61010-2-010_Electrical,_Thermal,_and_Mechanical_Safety.part06.rar.html
https://rapidgator.net/file/bca7e6768a6dc30b9a4ca75cfe7bfc94/IEC_61010-2-010_Electrical,_Thermal,_and_Mechanical_Safety.part05.rar.html
https://rapidgator.net/file/9a414f4b40d53e06c0cea7a9e68f921d/IEC_61010-2-010_Electrical,_Thermal,_and_Mechanical_Safety.part04.rar.html
https://rapidgator.net/file/0f89cebc767939df0da820f3feb7294f/IEC_61010-2-010_Electrical,_Thermal,_and_Mechanical_Safety.part03.rar.html
https://rapidgator.net/file/53797073f678075059b32cd937c5261b/IEC_61010-2-010_Electrical,_Thermal,_and_Mechanical_Safety.part02.rar.html
https://rapidgator.net/file/1c38310dd9821f21195df9bfee643db6/IEC_61010-2-010_Electrical,_Thermal,_and_Mechanical_Safety.part01.rar.html
https://nitroflare.com/view/63EC0C804B40113/IEC_61010-2-010_Electrical%2C_Thermal%2C_and_Mechanical_Safety.part10.rar
https://nitroflare.com/view/4A920A6A2141FBD/IEC_61010-2-010_Electrical%2C_Thermal%2C_and_Mechanical_Safety.part09.rar
https://nitroflare.com/view/E999AC3C63E5143/IEC_61010-2-010_Electrical%2C_Thermal%2C_and_Mechanical_Safety.part08.rar
https://nitroflare.com/view/E221AEA61B52F40/IEC_61010-2-010_Electrical%2C_Thermal%2C_and_Mechanical_Safety.part07.rar
https://nitroflare.com/view/DBCA79CB60EF5E2/IEC_61010-2-010_Electrical%2C_Thermal%2C_and_Mechanical_Safety.part06.rar
https://nitroflare.com/view/757395B98DB3227/IEC_61010-2-010_Electrical%2C_Thermal%2C_and_Mechanical_Safety.part05.rar
https://nitroflare.com/view/AF3E449ACAF78DD/IEC_61010-2-010_Electrical%2C_Thermal%2C_and_Mechanical_Safety.part04.rar
https://nitroflare.com/view/692F32D5ADA74C5/IEC_61010-2-010_Electrical%2C_Thermal%2C_and_Mechanical_Safety.part03.rar
https://nitroflare.com/view/4BFBF04F0089F25/IEC_61010-2-010_Electrical%2C_Thermal%2C_and_Mechanical_Safety.part02.rar
https://nitroflare.com/view/E35C8B3F5E1F4BA/IEC_61010-2-010_Electrical%2C_Thermal%2C_and_Mechanical_Safety.part01.rar
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Category: Apps (SEO/Marketing/Design)
- views: 54
- date: 29 October 2026
- posted by: DrZero
File size: 268 MB
Download movies and shows from various streaming platforms to MP4/MKV on your Windows device and enjoy them anywhere you want.
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Category: Tutorials
- views: 85
- date: 29 October 2026
- posted by: 0nelove
How Airports Actually Work: The Business Behind the Terminal
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 33m | Size: 721.06 MB
Airports business model decode: A regulated tollbooth with a shopping mall attached
What you'll learn
Separate an airport's regulated aeronautical revenue from its commercial revenue and explain why the margin depends on the second
Read a published airport charge schedule and trace how landing, passenger and aircraft charges become an airline invoice
Calculate revenue and cost per passenger from published accounts and explain what the figure does and does not show
Compare airports by traffic mix, distinguishing international from domestic and transfer from origin-and-destination passengers
Explain what a regulated asset base is, what earns a return inside it, and what is excluded from it
Describe how a price determination sets allowed revenue and converts it into a maximum charge per passenger
Explain how airline agreements negotiated beneath a regulatory cap change what an airline actually pays
Identify the cost lines an airport must fund to meet service, standards and safety obligations
Requirements
None - no prior airport and finance knowledge is required
Description
This course contains the use of artificial intelligence for voice overs.
This course explains an airport as a business rather than a building. It is built for analysts and bankers covering transport or regulated infrastructure, finance professionals modelling a regulated asset base, aviation professionals who know the operation but want the economics, and readers who have only ever seen an airport as a passenger. No prior finance background is assumed.
The course starts from a simple fact: an airport sells to airlines under a regulated cap and to passengers at prices it sets itself. From there it works through the published charge schedules, the cost base that exists whether one million or forty million people pass through, the regulated asset base, the price determination that converts allowed revenue into a maximum charge per passenger, and the airline agreements negotiated beneath that ceiling. It then turns to the commercial half: retail, parking, car rental and property, each read from published revenue and yield figures.
The later sections cover airlines as both customers and competitors, revenue per passenger quoted twice, depreciation over decades, and why airports carry heavy debt. The course closes by comparing several airports inside one group and walking a real annual report line by line, in the order a reader should meet the numbers.
By the end you will be able to take an airport's published accounts, separate the regulated half from the commercial half, calculate yield and margin per passenger, and explain what each figure can and cannot tell you. Every number used comes from a published disclosure, and every lesson shows where it sits in the accounts.
Who this course is for
Analysts and bankers covering transport or regulated infrastructure assets
Finance professionals modelling a regulated asset base or price-controlled business
Aviation and airport professionals who know operations and want the economics
Investors and readers who have only ever seen an airport as a passenger
Homepage
https://www.udemy.com/course/how-airports-actually-work-the-business-behind-the-terminal/https://rapidgator.net/file/9978d8ad5ad773f11f47b54e389ccd08/How_Airports_Actually_Work_The_Business_Behind_the_Terminal.rar.html
https://nitroflare.com/view/D451BF24035C33E/How_Airports_Actually_Work_The_Business_Behind_the_Terminal.rar
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Category: Tutorials
- views: 58
- date: 29 October 2026
- posted by: 0nelove
Google NotebookLm Training (Practical Example Included)
Published 10/2026
Created by Being Commerce
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 8 Lectures ( 2h 9m ) | Size: 4.2 GB
Complete NotebookLM Course to Turn Sources into Audio, Videos, Overviews, Slide Decks, Flashcards & Smart Notes!
What you'll learn
⚡ Set up Google NotebookLM the right way from scratch
⚡ Decide if the free or paid plan fits your need
⚡ Add sources from web pages, YouTube, AI, and file uploads
⚡ Pick between Fast Research and Deep Research for any task
⚡ Chat with your sources and get accurate, source-based answers
⚡ Add personal notes inside any notebook
⚡ Write custom prompts for sharper, personalized responses
⚡ Generate audio overviews, video overviews, and slide decks
⚡ Create flashcards and quizzes from your own material
⚡ Run course creation research using NotebookLM
⚡ Plan skill development paths for digital creators
⚡ Brainstorm new digital product ideas with AI help
⚡ Pull clean data analysis reports from raw documents
⚡ Handle the source limit without losing important content
⚡ Use Google NotebookLM smoothly on mobile
Requirements
❗ A free Google account
❗ A computer or phone with internet
❗ Basic comfort with browsing the web
❗ No prior AI or NotebookLM experience needed
Description
Want to read 100 pages in 5 minutes? Want a podcast made from your own notes? This Google NotebookLM Training shows you exactly how to do it.
Google NotebookLM is changing how people study, research, and create. But most users only scratch the surface. They upload one PDF, ask one question, and stop. This Google NotebookLM Training takes you far beyond the basics, so you can pull insights from any source, generate audio overviews, build slide decks, create flashcards, and turn raw information into clear output, fast.
This NotebookLM Tutorial is made for real people with real work to finish. Students drowning in lecture notes. Creators researching their next video. Coaches building courses. Writers organizing scattered ideas. Professionals who need answers from 50-page reports without reading every line. If you have ever felt buried under information, this course is your way out.
Inside this Google NotebookLM Course, you will learn the full workflow from day one. You will set up your account the right way, add sources from the web, YouTube, file uploads, and AI, and decide when to use Fast Research vs Deep Research. You will chat with your sources like a smart assistant that actually knows your material. You will build personal notes, customize prompts for the answers you really want, and produce studio outputs like audio overviews, video overviews, slide decks, flashcards, and quizzes, all from your own content.
You will also see 5 real use cases most tutorials skip. How to do course creation research. How to plan skill development for digital creators. How to brainstorm your next digital product. How to pull a clean data analysis report out of messy files. Each one is shown step by step so you can copy the same process for your own work.
What happens if you skip this NotebookLM Course? You keep losing hours to manual reading. You keep missing the smart features hidden inside the tool. You keep paying for AI tools that do half of what NotebookLM already does for free. Worse, you fall behind people who already use this in their daily workflow.
By the end of this Google NotebookLM Training, you will treat NotebookLM as your personal research partner. You will move faster, think clearer, and produce more, whether you are studying, teaching, writing, or running a business. You will also know how to handle the source limit, use NotebookLM on mobile, and apply advanced tricks most users never find.
Everything is taught in plain language. No filler. No theory dumps. Just clear lessons you can apply the same day you watch them. If you can open a browser and click a button, you can finish this course.
Enroll now and turn Google NotebookLM into your daily edge.
Who this course is for
⭐ Students who want faster study and revision
⭐ Researchers handling many documents at once
⭐ Course creators planning their next online program
⭐ YouTubers and writers doing topic research
⭐ Coaches and consultants preparing client material
⭐ Solo founders and marketers building digital products
⭐ Anyone tired of reading long PDFs line by line
⭐ Beginners who want clear NotebookLM Training from zero
https://rapidgator.net/file/9f333e954532fef23f54644a1bb4b125/Google_NotebookLm_Training_(Practical_Example_Included).part5.rar.html
https://rapidgator.net/file/1ae1a08fe59c6fb5327e4e0d120697e2/Google_NotebookLm_Training_(Practical_Example_Included).part4.rar.html
https://rapidgator.net/file/73a98ab2d1b29981b65de37dbbce624e/Google_NotebookLm_Training_(Practical_Example_Included).part3.rar.html
https://rapidgator.net/file/ec60f20868a9791c6062a7d27009ff9b/Google_NotebookLm_Training_(Practical_Example_Included).part2.rar.html
https://rapidgator.net/file/9b70208cf4f0829c8ae1ae50458b2dc5/Google_NotebookLm_Training_(Practical_Example_Included).part1.rar.html
https://nitroflare.com/view/070A4D254C9AF38/Google_NotebookLm_Training_%28Practical_Example_Included%29.part5.rar
https://nitroflare.com/view/3CBBA82F3E1324C/Google_NotebookLm_Training_%28Practical_Example_Included%29.part4.rar
https://nitroflare.com/view/698E3E75652FBAC/Google_NotebookLm_Training_%28Practical_Example_Included%29.part3.rar
https://nitroflare.com/view/9E28048E1FB727C/Google_NotebookLm_Training_%28Practical_Example_Included%29.part2.rar
https://nitroflare.com/view/8A5BCA7EB50A953/Google_NotebookLm_Training_%28Practical_Example_Included%29.part1.rar
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Category: Tutorials
- views: 151
- date: 29 October 2026
- posted by: mata00
Chase Hughes – NCI-2 University | 64.3 GB
Chase Hughes – NCI-2 University
Neuro-Cognitive Intelligence
The world’s #1 behavior profiling and influence training.
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Category: Tutorials
- views: 115
- date: 29 October 2026
- posted by: mata00
Samu Profits | 3.18 GB
Samu Profits is a trading mentorship platform led by a trader known as Samu.
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Category: Tutorials
- views: 147
- date: 29 October 2026
- posted by: mata00
Thad Zylka – AI Video Editor For Marketers | 1.25 GB
Whether you’re a seasoned content creator or just starting out, this course empowers you to craft professional-quality videos in record time.
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Category: Tutorials
- views: 100
- date: 29 October 2026
- posted by: mata00
Demi – AI Marketing Masterclass | 339 MB
About the Creator
Hi, I’m Demi, the creator of the AI Marketing Masterclass.
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Category: Tutorials
- views: 44
- date: 29 October 2026
- posted by: 0nelove
Fundamentals of Stepper Motors and Methods of Control
Published 10/2026
Created by Dr. Thomas Viviano
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 14 Lectures ( 2h 43m ) | Size: 3.5 GB
Fundamentals, Driver, Sensor Control, and PLC Motion
What you'll learn
⚡ Describe the construction of servo and stepper motors
⚡ Describe the operation of servo and stepper motors
⚡ Describe the applications of servo and stepper motors
⚡ Describe ways to control servo and stepper motors
Requirements
❗ It is recommended that students have a background in AC and DC electricity, AC and DC motor operation, and magnetic field concepts,. It is not necessary to know C++ language as you'll be taught what you need to minimally know.
DescriptionStepper Motors: Fundamentals, Drivers, Closed-Loop Control & PLC Motion provides a practical introduction to the construction, operation, associated math for gears steps per revolution, and control of stepper motors used in automation and motion-control systems.
The course begins with a review of DC motor fundamentals and then examines the major components of stepper motor systems, including stators, rotors, drivers, controllers, encoders, and power supplies. Students will learn how stepper motors produce precise movement and how direction, speed, pulse count, timing, acceleration, deceleration, and microstepping affect motor performance.
An Arduino controller is used during introductory demonstrations because it offers a simple and inexpensive way to observe motor behavior and experiment with basic control variables. This is not an Arduino or C++ programming course. Only the elementary programming needed for the demonstrations is explained.
The course then progresses into practical stepper control using a dedicated motion controller, a closed-loop stepper system with encoder feedback, and PLC-based industrial motion control using pulse and direction signals.
Lessons combine explanations, hand-drawn illustrations, wiring, real components, applied math, parameter setup, and physical demonstrations. The emphasis is on understanding how stepper systems work and how these principles apply to industrial automation, robotics, positioning equipment, indexing systems, and manufacturing applications.
Who this course is for
⭐ This course is designed for those who wish to or are already working in the manufacturing and automation industry.
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Category: Tutorials
- views: 59
- date: 29 October 2026
- posted by: 0nelove
Fractional Executive & High-Ticket Advisory
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 13m | Size: 4.23 GB
Master C-suite advisory, package premium retainers, and deliver rapid operational success.
What you'll learn
You will discover how to transition from a full-time executive role to a high-earning fractional specialist.
You will learn to formulate a profitable advisory business model using monthly retainers and value-based pricing.
You will pinpoint your unique high-value market thesis and ideal client profile.
You will master proactive outbound prospecting strategies tailored specifically for busy founders and investors.
You will conduct high-stakes discovery sessions that uncover root strategic pain points instantly.
You will write and present executive proposal architectures that command five-figure monthly investments.
You will execute a bulletproof 72-hour onboarding protocol to establish immediate authority.
You will architect clear operational OKRs and align cross-functional teams without managing daily minutiae.
You will architect clear operational OKRs and align cross-functional teams without managing daily minutiae.
You will scale your practice effectively by integrating modern tech stacks and asynchronous workflows.
Requirements
Minimum 5 to 10 years of professional experience in a functional discipline (Strategy, Operations, Marketing, Finance, Product, or Technology).
A solid understanding of business fundamentals, corporate growth stages, and startup dynamics.
A strong desire to build an independent, high-ticket professional practice.
Description
"This course contains the use of artificial intelligence.
Step into the high-leverage world of fractional leadership and high-ticket advisory. Traditional full-time C-suite roles are being rapidly replaced by agile, high-impact fractional executives who deliver specialized strategic oversight without the multi-million-dollar overhead. This comprehensive, 30-module masterclass is designed for experienced leaders, consultants, and operators who want to package their expertise, command premium monthly retainers, and build a thriving, multi-client advisory practice.
You will learn how to identify your high-value core thesis, construct unignorable proposals, navigate complex founder-board dynamics, and execute rapid 30-day diagnostics that lock in long-term commitments. Backed by proven frameworks for capacity management, calendar defense, and asynchronous operations, this course equips you with everything you need to scale from solo practitioner to an elite advisory powerhouse.
Key Takeaways
-Master High-Ticket Pricing: Learn how to structure and close $10K+ monthly retainers, equity hybrids, and 90-day sprints.
-Build an Outbound & Warm Pipeline: Deploy precise multi-channel outreach strategies to target founders, CEOs, and venture capital operating partners.
-Execute Rapid Onboarding: Utilize a rigorous Day-1 protocol and deliver an unignorable 30-day executive diagnostic assessment.
-Manage Multi-Client Portfolios: Balance 3 to 5 high-ticket retainers simultaneously without cognitive burnout or operational gridlock.
-Scale Through Systems: Implement asynchronous operating cadences, Notion client portals, and delegation frameworks that protect your deep work time.
Who this course is for
Experienced corporate executives, directors, and VPs looking to transition into independent advisory.
Existing consultants and strategists wanting to break free from hourly billing and transition to premium monthly retainers.
Subject matter experts, marketers, operators, and technical leads seeking to monetize their specialized skills at the C-suite level.
Small boutique agency owners wanting to shift from low-margin execution to high-margin strategic advisory.
Homepage
https://www.udemy.com/course/fractional-executive-high-ticket-advisory/Screenshot
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Category: Tutorials
- views: 103
- date: 29 October 2026
- posted by: 0nelove
DevOps Essentials: Git, CI/CD, Containers & Monitoring
Published 10/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 57m | Size: 198.38 MB
Learn version control with Git, CI/CD fundamentals, containerisation, configuration management and monitoring basics.
What you'll learn
Explain the purpose of DevOps and its role in software development and delivery.
Describe how Git supports version control and collaboration.
Explain the fundamentals of continuous integration and continuous delivery (CI/CD).
Describe containerisation and its role in deploying applications consistently.
Explain the purpose of configuration management in maintaining consistent environments.
Identify the roles of monitoring and logging in understanding system behaviour and detecting issues.
Recognise key DevOps tools and practices used across software delivery workflows.
Requirements
No previous DevOps experience is required.
Description
DevOps Essentials: Git, CI/CD, Containers & Monitoring
Modern software teams need reliable ways to manage code, automate delivery, maintain consistent environments and identify problems in running systems. DevOps brings together practices and tools that help development and operations work more effectively throughout the software delivery process.
This course introduces the foundational concepts behind DevOps and explains the role of several important practices, including version control, continuous integration and delivery, containers, configuration management, monitoring and logging.
Whether you are exploring DevOps as a career path or want to understand how modern software delivery works, this course provides a starting point for learning the terminology, tools and workflows involved.
What will you learn?
DevOps fundamentals
Understand the purpose of DevOps and how its principles relate to software development, deployment and IT operations.
Version control with Git
Explore how Git helps teams track code changes, maintain version history and collaborate on software projects.
Continuous integration and continuous delivery (CI/CD)
Learn the basic concepts behind CI/CD and how automation can help teams integrate changes and deliver software more consistently.
Containers and containerisation
Understand what containers are, why they are useful, and how they help applications run in more consistent environments.
Configuration management
Explore the purpose of configuration management and how it supports consistency across systems and environments.
Monitoring and logging
Understand how monitoring and logs help teams observe system behaviour, investigate issues and maintain operational visibility.
Who should take this course?
This course is suitable for beginners, aspiring DevOps professionals, junior developers, IT operations professionals and students interested in software engineering or modern IT practices.
You do not need previous DevOps experience to get started. Basic familiarity with computers and software applications will help you follow the concepts and exercises.
What will you take away?
By the end of the course, you will have a foundational understanding of DevOps and the roles that Git, CI/CD, containers, configuration management, monitoring and logging play in software delivery.
This is an introductory course rather than an advanced implementation or certification-preparation programme. It provides a basis for further study of DevOps tools and workflows.
Course Author
Alex Amoroso, PhD
Senior UX Researcher | Research, Product & Learning Design
Alex Amoroso is a researcher, educator, and course designer with more than 10 years of professional experience in UX and product research, behavioural research, and complex problem-solving, alongside extensive experience in professional and academic education.
Her work focuses on a simple question:what is actually going on, what evidence do we have, and what should we do with it?
Across research, product, and organisational environments, she has worked on complex problems involving user behaviour, digital products, analytics, customer experience, decision-making, and innovation. Her research has included studies with thousands of users across B2B and B2C environments, combining qualitative and quantitative methods to investigate problems, challenge assumptions, interpret evidence, and support better decisions.
Alongside her professional research work, Alex teaches doctoral-level research design and methodologies, supervises and assesses research projects, and has developed approximately 30 online courses across research, UX, product, data, analytics, customer experience, business, and decision-making. Selected courses are also available through Udemy Business.
Her approach to teaching is practical and structured:clarify the subject, organise the thinking, distinguish evidence from assumption, and turn complex information into knowledge that can be applied.
She holds a PhD in Health Anthropology, with research focused on human behaviour, environmental stress, and quantitative data analysis, and has published research in peer-reviewed journals.
Across her courses, she combines
- Research-based thinking
- Practical frameworks and methods
- Real-world examples and applications
- Clear explanations of complex subjects
- Exercises, tools, and techniques that support practical learning
Her goal is simple:to help learners understand complex subjects, think more clearly, and apply what they learn in real professional situations.
Who this course is for
Beginners who want to understand DevOps concepts, practices and tools.
Aspiring DevOps professionals seeking an introduction to the field.
Junior developers who want to understand version control, CI/CD and containers.
IT support and operations professionals interested in modern software delivery practices.
Students exploring careers in software development, cloud computing or IT operations.
Technical professionals who want a structured overview of the main components of a DevOps workflow.
Homepage
https://www.udemy.com/course/devops-essentials-git-cicd-containers-monitoring/https://rapidgator.net/file/78e409eed74d1a8df3291fb27291ef45/DevOps_Essentials_Git,_CI_CD,_Containers_&_Monitoring.rar.html
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Category: Tutorials
- views: 44
- date: 29 October 2026
- posted by: 0nelove
Claude Code & OpenAI Codex: Build 2 Real AI SaaS Application
Published 10/2026
Created by Kazi Ariyan, easy Learning
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 181 Lectures ( 21h 43m ) | Size: 18 GB
Build an AI chatbot SaaS with Codex and a task SaaS with Claude Code, using Laravel 13, Next.js 16, MySQL & OpenAI API
What you'll learn
⚡ Build 2 complete multi-tenant AI SaaS apps from scratch, using OpenAI Codex and Claude Code as your AI pair programmers
⚡ Understand vibe coding vs. agentic engineering, and choose the right agent, Codex or Claude Code, for any task
⚡ Turn a product idea into a clear PRD with features and acceptance criteria that AI coding agents can follow
⚡ Write AGENTS md and CLAUDE md instruction files so Codex and Claude Code follow your project's rules every time
⚡ Make Codex propose a plan before it writes code, then turn that plan into clean, idiomatic Laravel code step by step
⚡ Feed errors back so the AI fixes its own mistakes, and use Codex to review your code diffs before you commit
⚡ Manage context and subagents to keep AI coding agents accurate on large, multi-file projects
⚡ Build an AI customer support chatbot SaaS where each company trains its own bot on its content with RAG
⚡ Integrate the OpenAI API and embeddings in Laravel 13, test it in Postman, and run AI jobs with Laravel queues
⚡ Build subscription plans, billing, payments and per-plan usage limits for a real multi-tenant SaaS
⚡ Create multi-role authentication with separate Super Admin and Company dashboards and a support ticket system
⚡ Build a decoupled SaaS with a Next.js 16 frontend and a Laravel 13 API backend, connected with Laravel Sanctum
⚡ Create a design system and admin dashboards with Claude, then build them in Next.js with Tailwind CSS
⚡ Build task management features: projects, tasks, task stages, clients, invoices, expenses, coupons and plan requests
⚡ Protect real projects from AI mistakes with database safety rules, manual backups and Git checkpoints
Requirements
❗ Basic PHP and Laravel knowledge (routes, controllers, models, migrations and Blade)
❗ Basic jаvascript. Some React or Next.js experience helps, but isn't required
❗ A Windows, macOS or Linux computer. Installing VS Code, Node.js, MySQL and Composer is covered step by step
❗ A paid ChatGPT plan to use Codex and a paid Claude plan to use Claude Code (the course shows which plan to choose)
❗ An OpenAI API account with a small amount of credit for the AI chatbot features
❗ No previous experience with Codex, Claude Code or AI agents is needed
DescriptionWrite one prompt and your whole app is ready? That's the promise you see everywhere. In real life, it doesn't work. One prompt gives you a demo. A real, advanced application needs a proven workflow and a solid structure, and that's exactly what this course gives you.
InClaude Code & OpenAI Codex: Build 2 Real AI SaaS Apps, you'll learnagentic engineering: you plan the work, the AI coding agent builds it, and you stay in control. No tool tours and no toy demos. You'll buildtwo complete, multi-tenant SaaS applications, step by step, with the two leading AI coding agents.
Project 1: Multi-Tenant AI Customer Support SaaS (built with OpenAI Codex)
UsingLaravel 13, MySQL and the OpenAI API, you'll build a platform where every company trains its own AI support chatbot on its own content
✨ Multi-authentication with separate Super Admin and Company dashboards
✨ Bot training withRAG (Retrieval-Augmented Generation) and OpenAI embeddings
✨ Bot conversations and a complete support ticket system
✨ Subscription plans, billing, payments and per-plan usage limits
✨ Laravel queues for AI responses and knowledge ingestion
Project 2: Task Management SaaS for Small Business (built with Claude Code)
This time the architecture levels up: aNext.js 16 frontend with aLaravel 13 API backend and MySQL. You'll
✨ Create a complete design system and Admin and Company dashboards with Claude
✨ Build multi-authentication, companies, subscription plans, coupons and plan requests
✨ Build the company workspace: clients, projects, task stages, tasks, invoices and expenses
✨ Connect a separate frontend and backend cleanly, the setup most developers struggle with
The workflow you'll use on every project
Before any code is written, you'll learn to plan like a professional. You'll turn an idea into aPRD, writeAGENTS md andCLAUDE md instruction files, make the agent propose a plan first, feed errors back so it fixes its own mistakes, review AI-generated code diffs, and manage context and subagents on large projects.
You'll also learn the safety habits that protect real projects: database protection rules for AI agents, backups, and Git checkpoints.
Why this course is different
✨Two agents, one course. You build with both OpenAI Codex and Claude Code, so you learn exactly when to use each one.
✨Real SaaS, not toy apps. Multi-tenancy, plans, billing, RAG chatbots and dashboards: the features real products need.
✨Source code at every milestone. Each major step has its own GitHub checkpoint, so you can compare your code or catch up anytime.
✨An experienced instructor. I've been programming for over 12 years and have taught more than 100,000 students on Udemy.
By the end, you'll have two real SaaS products in your portfolio, a workflow you can repeat on every project, and the confidence to build the applications you've been dreaming about.
Watch the free preview lectures, then enroll, and let's build your first AI SaaS together.
Who this course is for
⭐ Laravel and PHP developers who want to build complete SaaS apps faster with OpenAI Codex and Claude Code
⭐ Developers who tried vibe coding but got stuck when the project grew, and want a reliable, professional workflow
⭐ Freelancers and agency developers who want to deliver client projects faster with AI, without messy or unsafe code
⭐ Aspiring SaaS founders who want to turn an idea into a working multi-tenant SaaS with plans, billing and dashboards
⭐ Full-stack developers who want to learn a Laravel API + Next.js 16 architecture and build AI features like RAG chatbots
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Category: Tutorials
- views: 104
- date: 29 October 2026
- posted by: 0nelove
Burnout Prevention & Stress Mastery for Caregivers
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 53m | Size: 1.85 GB
Master the nervous system science of burnout: trauma responses, the stress cycle, energy audits, and somatic tools.
What you'll learn
Explain how your sympathetic and parasympathetic nervous system branches act as an accelerator and brake during caregiving stress.
Recognize all four trauma responses — fight, flight, freeze, and fawn — as they specifically show up in real caregiving moments.
Understand why your rational brain can temporarily go offline under pressure, and why that's biology, not a character flaw.
Identify the hidden, compounding cost of unmanaged stress on your sleep, immunity, cognition, and relationships over time.
Conduct a four-pillar energy audit to find and fix your biggest daily energy leaks.
Apply fast somatic techniques — the physiological sigh, grounding, and progressive muscle relaxation — in real time.
Build a personalized daily rhythm that integrates every tool from this course into one sustainable routine.
Requirements
No prior training, certification, or caregiving qualifications required No special equipment or software needed Completion of Course 1: Caring for the Carer is recommended but not required — this module builds on the mindset and boundary language introduced there, though it stands on its own Currently working or living as a professional or family carer is helpful for context, but not required Willingness to reflect honestly on your own stress responses and recent difficult caregiving moments
Description
Knowing you're stressed isn't the same as knowing what to do about it. This course closes that gap — with real nervous system science, and tools that fit inside the caregiving day you actually have.
This isCourse 2 in theCaring for the Carer series, built for bothprofessional and family carers. It picks up where Course 1's mindset work leaves off, going a layer deeper into the actual biology of chronic caregiving stress, then building that understanding into a complete, practical system for daily recovery.
Caregiving rarely lets you remove the stressor. The person you're caring for still needs care tomorrow, whether or not today was hard. So instead of advice to simply "manage stress better," this course gives you the mechanism — what's actually happening in your nervous system — and five modules of increasingly practical tools built directly on top of it.
Across this course, you'll learn to
-Understand the physiology of caregiver stress — how your sympathetic and parasympathetic nervous system work like an accelerator and a brake, and why fight, flight, freeze, and fawn are automatic biology, not character flaws
-Widen your window of tolerance and properly close the stress cycle your body opens, even when the caregiving situation itself hasn't resolved
-Conduct a genuine energy audit across four pillars — physical, emotional, mental, and environmental — to find exactly where your energy is leaking, rather than relying on a vague sense of being tired
-Apply somatic stress relief techniques, including the physiological sigh, progressive muscle relaxation, and grounding methods, as fast physical resets for the middle of a hard moment
-Design a realistic daily rhythm — morning, midday, and evening — that brings every tool from this course together into one simple plan you can actually sustain
Each module combines nervous system science with real case scenarios, honest self-assessments, and tools you can use immediately, not just understand intellectually.
This course is for you if you
- Have completed Course 1, or are ready to go deeper than mindset alone
- Want to understandwhy your stress response happens, not just surface-level coping tips
- Need tools that fit inside a real caregiving day — not a retreat, not a day off you don't have
- Are tired of advice to "just breathe" without any explanation of why it works
This course is not: clinical training, a certification program, or a source of continuing education credit.
By the end, you'll have a genuine toolkit matched to real moments — and a daily rhythm built to prevent the next crisis, not just recover from the last one.
Who this course is for
This course is for both professional and family carers who want to understand why caregiving stress affects them the way it does, not just how to cope with it in the moment. It will help you if you: Have snapped, frozen, gone blank, or over-apologized under pressure, and quietly judged yourself for it afterward Notice fatigue, irritability, or illness creeping in, but can't point to one single cause Were told that a "good carer" stays calm no matter what, and feel like you're failing that standard Want to understand the actual nervous system science behind fight, flight, freeze, and fawn — not just the surface-level advice Are ready to go deeper than mindset alone, into the biology driving your stress response This module is intentionally more science-heavy than a general wellness course — it's for learners who want to understand the mechanism, not just receive another tip list. If you're looking for immediate coping techniques rather than the "why" behind them, this module lays the groundwork that makes the later, more practical modules in Course 2 land more effectively.
Homepage
https://www.udemy.com/course/burnout-prevention-stress-mastery-for-caregivers/https://rapidgator.net/file/95d3a173258a65d6678afe75075d4428/Burnout_Prevention_&_Stress_Mastery_for_Caregivers.part2.rar.html
https://rapidgator.net/file/1107d044a0554e43eeea13b57a63ea08/Burnout_Prevention_&_Stress_Mastery_for_Caregivers.part1.rar.html
https://nitroflare.com/view/85D2CDDEE7111FF/Burnout_Prevention_%26amp%3B_Stress_Mastery_for_Caregivers.part2.rar
https://nitroflare.com/view/E6A04AAB5F18640/Burnout_Prevention_%26amp%3B_Stress_Mastery_for_Caregivers.part1.rar
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Category: Tutorials
- views: 80
- date: 29 October 2026
- posted by: 0nelove
Biomedical Research Ethics, Integrity and Responsible AI
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 2h 3m | Size: 471.69 MB
Consent, data, transparency and responsible AI through research cases and a semester ethics dossier
What you'll learn
Evaluate ethics problems by distinguishing principles, applicable rules and missing facts.
Critique consent, recruitment and inclusion without treating a signature as sufficient.
Propose accountable governance for data, samples, access, sharing and secondary use.
Design responsible AI workflows and defend a research-ethics dossier using evidence and an accountable decision trail.
Requirements
Basic research literacy and ability to read English research sources. Bilingual terminology and self-assessment tools are provided.
Description
This course contains the use of artificial intelligence.
How do you make a research decision that another person can inspect, challenge and understand? Join an intelligent male host and Shu Chen Hou PhD in original conversations about biomedical research ethics, academic integrity and responsible AI.
Across a sixteen-week pathway, examine scientific value, risk and benefit, consent, fair inclusion, data and sample governance, animal research, preregistration, outcome reporting, authorship, peer review and scholarly AI use. Fictional cases invite you to decide before the model reasoning is revealed. Genuine guidance and research are identified separately, including a guided journal-club appraisal.
Build a decision record, risk register, consent communication plan, data-access map, analysis log, contribution discussion, claim-to-source ledger and an integrated ethics dossier. Download worksheets, model reasoning and assessment rubrics.
The semester plan includes 32 structured-learning hours across video study, original-source reading, case workshops and revision. Recorded video totals approximately 2 hours 4 minutes. Self-paced learners use self-assessment and a recorded defence alternative; individual grading and university credit are not included.
The course uses an authorised AI-synthesized instructor voice and a male synthetic host. It is not a recording of a real interview. It is educational, independently developed, and not an ethics approval, professional registration, clinical qualification or legal determination. Original diagrams explain the reasoning; no confidential participant records or journal figures are redistributed.
Shu Chen Hou PhD earned a PhD in Medicine at the University of Bristol, within the Faculty of Medicine & Dentistry, School of Clinical Sciences.
侯淑真博士於英國布里斯托大學（University of Bristol）醫學與牙醫學院（Faculty of Medicine & Dentistry）臨床科學學系（School of Clinical Sciences）取得醫學領域博士學位。
Who this course is for
Upper-undergraduate and postgraduate biomedical and public-health students; early-career researchers seeking case appraisal and proposal planning.
Homepage
https://www.udemy.com/course/biomedical-research-ethics-integrity-and-responsible-ai/Biomedical Research Ethics, Integrity and Responsible AI
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 2h 3m | Size: 471.69 MB
Consent, data, transparency and responsible AI through research cases and a semester ethics dossier
What you'll learn
Evaluate ethics problems by distinguishing principles, applicable rules and missing facts.
Critique consent, recruitment and inclusion without treating a signature as sufficient.
Propose accountable governance for data, samples, access, sharing and secondary use.
Design responsible AI workflows and defend a research-ethics dossier using evidence and an accountable decision trail.
Requirements
Basic research literacy and ability to read English research sources. Bilingual terminology and self-assessment tools are provided.
Description
This course contains the use of artificial intelligence.
How do you make a research decision that another person can inspect, challenge and understand? Join an intelligent male host and Shu Chen Hou PhD in original conversations about biomedical research ethics, academic integrity and responsible AI.
Across a sixteen-week pathway, examine scientific value, risk and benefit, consent, fair inclusion, data and sample governance, animal research, preregistration, outcome reporting, authorship, peer review and scholarly AI use. Fictional cases invite you to decide before the model reasoning is revealed. Genuine guidance and research are identified separately, including a guided journal-club appraisal.
Build a decision record, risk register, consent communication plan, data-access map, analysis log, contribution discussion, claim-to-source ledger and an integrated ethics dossier. Download worksheets, model reasoning and assessment rubrics.
The semester plan includes 32 structured-learning hours across video study, original-source reading, case workshops and revision. Recorded video totals approximately 2 hours 4 minutes. Self-paced learners use self-assessment and a recorded defence alternative; individual grading and university credit are not included.
The course uses an authorised AI-synthesized instructor voice and a male synthetic host. It is not a recording of a real interview. It is educational, independently developed, and not an ethics approval, professional registration, clinical qualification or legal determination. Original diagrams explain the reasoning; no confidential participant records or journal figures are redistributed.
Shu Chen Hou PhD earned a PhD in Medicine at the University of Bristol, within the Faculty of Medicine & Dentistry, School of Clinical Sciences.
侯淑真博士於英國布里斯托大學（University of Bristol）醫學與牙醫學院（Faculty of Medicine & Dentistry）臨床科學學系（School of Clinical Sciences）取得醫學領域博士學位。
Who this course is for
Upper-undergraduate and postgraduate biomedical and public-health students; early-career researchers seeking case appraisal and proposal planning.
Homepage[code]
https://www.udemy.com/course/biomedical-research-ethics-integrity-and-responsible-ai/[quote]Biomedical Research Ethics, Integrity and Responsible AI
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 2h 3m | Size: 471.69 MB
Consent, data, transparency and responsible AI through research cases and a semester ethics dossier
What you'll learn
Evaluate ethics problems by distinguishing principles, applicable rules and missing facts.
Critique consent, recruitment and inclusion without treating a signature as sufficient.
Propose accountable governance for data, samples, access, sharing and secondary use.
Design responsible AI workflows and defend a research-ethics dossier using evidence and an accountable decision trail.
Requirements
Basic research literacy and ability to read English research sources. Bilingual terminology and self-assessment tools are provided.
Description
This course contains the use of artificial intelligence.
How do you make a research decision that another person can inspect, challenge and understand? Join an intelligent male host and Shu Chen Hou PhD in original conversations about biomedical research ethics, academic integrity and responsible AI.
Across a sixteen-week pathway, examine scientific value, risk and benefit, consent, fair inclusion, data and sample governance, animal research, preregistration, outcome reporting, authorship, peer review and scholarly AI use. Fictional cases invite you to decide before the model reasoning is revealed. Genuine guidance and research are identified separately, including a guided journal-club appraisal.
Build a decision record, risk register, consent communication plan, data-access map, analysis log, contribution discussion, claim-to-source ledger and an integrated ethics dossier. Download worksheets, model reasoning and assessment rubrics.
The semester plan includes 32 structured-learning hours across video study, original-source reading, case workshops and revision. Recorded video totals approximately 2 hours 4 minutes. Self-paced learners use self-assessment and a recorded defence alternative; individual grading and university credit are not included.
The course uses an authorised AI-synthesized instructor voice and a male synthetic host. It is not a recording of a real interview. It is educational, independently developed, and not an ethics approval, professional registration, clinical qualification or legal determination. Original diagrams explain the reasoning; no confidential participant records or journal figures are redistributed.
Shu Chen Hou PhD earned a PhD in Medicine at the University of Bristol, within the Faculty of Medicine & Dentistry, School of Clinical Sciences.
侯淑真博士於英國布里斯托大學（University of Bristol）醫學與牙醫學院（Faculty of Medicine & Dentistry）臨床科學學系（School of Clinical Sciences）取得醫學領域博士學位。
Who this course is for
Upper-undergraduate and postgraduate biomedical and public-health students; early-career researchers seeking case appraisal and proposal planning.
https://rapidgator.net/file/d98d8fad3a41d145dd287bfa390be5b9/Biomedical_Research_Ethics,_Integrity_and_Responsible_AI.rar.html
https://nitroflare.com/view/4C77F95F9C9D039/Biomedical_Research_Ethics%2C_Integrity_and_Responsible_AI.rar
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Category: Tutorials
- views: 84
- date: 29 October 2026
- posted by: 0nelove
Automating with AI in Power Automate
Released 10/2026
By Vlad Catrinescu
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 36m 53s | Size: 463.2 MB
Many Power Automate makers continue to hand-build cloud flows, missing out on the productivity wins now available through Copilot and the AI Hub.
Many Power Automate makers continue to hand-build cloud flows, missing out on the productivity wins now available through Copilot and the AI Hub. In this course, Automating with AI in Power Automate, you'll gain the ability to use AI to take your cloud flows to the next level. First, you'll explore authoring and troubleshooting cloud flows with Copilot. Next, you'll discover how to embed AI decisions in your flows using AI Hub and the Run a prompt action. Finally, you'll learn how to automate document workflows with AI Builder using custom models and human-in-the-loop reviews. When you're finished with this course, you'll have the skills and knowledge of AI in Power Automate needed to make your cloud flows smarter and more dynamic.
https://rapidgator.net/file/ce940b0bd2f83d8a2c1fcd24c243e0ae/Automating_with_AI_in_Power_Automate.rar.html
https://nitroflare.com/view/B19FA687A1CEA63/Automating_with_AI_in_Power_Automate.rar
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Category: Tutorials
- views: 87
- date: 29 October 2026
- posted by: 0nelove
AI Productivity Masterclass: Work Smarter & Save Time
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 48m | Size: 1.77 GB
Use AI to improve workplace efficiency, manage projects, streamline communication, and automate routine tasks
What you'll learn
Understand the fundamentals of Artificial Intelligence (AI) and its applications in everyday productivity.
Use ChatGPT and AI assistants to simplify daily tasks and improve work efficiency.
Apply prompt engineering techniques to generate more accurate, relevant, and useful AI responses.
Create professional emails, reports, business documents, and written content using AI writing tools.
Use AI tools to improve time management, task prioritization, and daily planning.
Generate meeting agendas, summarize discussions, organize notes, and identify actionable tasks using AI.
Improve productivity with AI-powered documents, spreadsheets, and presentations.
Use AI tools for research, information analysis, summarization, and personalized learning.
Generate creative ideas and develop content for blogs, social media, videos, and marketing campaigns using AI.
Apply AI tools to improve business productivity, entrepreneurship, customer communication, and routine operations.
Organize tasks, projects, notes, and personal responsibilities using AI-powered productivity tools.
Understand the fundamentals of no-code AI automation and streamline repetitive workflows.
Use AI tools to improve remote work, team collaboration, communication, and project coordination.
Identify AI-generated inaccuracies, verify information, and evaluate AI responses critically.
Apply AI privacy, data security, and responsible usage principles when working with AI tools.
Select appropriate AI tools based on personal, professional, and business productivity needs.
Create reusable AI prompts and workflows for recurring tasks.
Build a personalized AI productivity system to manage tasks, automate routine activities, and achieve goals more efficiently.
Requirements
No Prerequisites Required
Description
This course contains the use of artificial intelligence. Welcome to theAI Productivity Masterclass, your practical guide to usingArtificial Intelligence (AI), ChatGPT, and AI productivity tools to save time, simplify everyday tasks, and work smarter. In today's digital world, AI is transforming how we work, learn, communicate, and manage our daily responsibilities. This course will help you understand and applyAI tools for productivity effectively, even if you have no technical background or prior experience.
Learn how to useChatGPT and AI assistants for everyday tasks, masterprompt engineering techniques to get better results, write professional emails and reports, manage your time more effectively, organize tasks, summarize meetings, and improve documents, spreadsheets, and presentations. You will also exploreAI-powered research, learning, content creation, business productivity, project organization, and no-code automation.
Discover practical ways to useAI for brainstorming, creating content, streamlining repetitive tasks, improving communication, managing information, and making everyday workflows more efficient. You will learn how to select suitableAI tools, develop reusable prompts, create effective workflows, and build your own personalizedAI productivity system.
This course is ideal for students, working professionals, entrepreneurs, freelancers, managers, content creators, and business owners who want toboost productivity with AI. No coding, programming, or technical expertise is required. The lessons focus on practical applications that you can adapt to your personal life, studies, business, or workplace.
You will also learn aboutAI accuracy, data privacy, security, and responsible AI usage so that you can use artificial intelligence more confidently and effectively. Whether you are new to AI or looking to improve your existing workflow, this course will help you exploreAI tools, automate routine tasks, save valuable time, and focus on what matters most.
Enroll in theAI Productivity Masterclass and discover how towork smarter with AI, improve efficiency, and makeartificial intelligence a valuable part of your everyday life.
Who this course is for
Beginners, students, professionals, entrepreneurs, and anyone who wants to boost productivity using AI tools without coding.
Homepage
https://www.udemy.com/course/ai-productivity-masterclass-work-smarter-save-time-boost/https://rapidgator.net/file/9a04e68ffff20ad1ce5c6605a69b0660/AI_Productivity_Masterclass_Work_Smarter_&_Save_Time.part2.rar.html
https://rapidgator.net/file/598413ca7ec529947c574834825391b8/AI_Productivity_Masterclass_Work_Smarter_&_Save_Time.part1.rar.html
https://nitroflare.com/view/0AA042F4FABF1C0/AI_Productivity_Masterclass_Work_Smarter_%26amp%3B_Save_Time.part2.rar
https://nitroflare.com/view/DF77D14A633A60F/AI_Productivity_Masterclass_Work_Smarter_%26amp%3B_Save_Time.part1.rar
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Category: Tutorials
- views: 146
- date: 29 October 2026
- posted by: 0nelove
AI for Students: Study Smarter, Write Better, Learn Faster
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 47m | Size: 729.93 MB
Study smarter with AI: understand hard topics, make notes and practice questions, plan essays and revise, honestly.
What you'll learn
Check your school's AI rules and ask your teacher clear questions about what is allowed
Write clear prompts that give your level, task, context and format, and follow up well
Get hard topics explained in plain language, then test your understanding by explaining them back
Turn your lectures and readings into organised notes while keeping your own words and checking the source
Make flashcards and practice questions from your own notes and use them for active recall
Use an AI tutor that asks questions and gives hints instead of answers
Plan essays and reports yourself, find and verify real sources, and cite them without plagiarism
Get feedback on your own drafts and revise in your own voice, not with a rewrite
Build a realistic study plan, revision routine and focus habits, and check AI answers for mistakes and bias
Requirements
An AI chat tool such as Claude or ChatGPT (a free plan is enough)
A page of your own class notes or a short reading from a course you are taking
One real assignment question or exam topic to practise on
No technical or coding background needed
Description AI can help you learn faster, or it can quietly stop you learning. The difference is how you use it. This course shows you how to use an AI assistant (such as Claude or ChatGPT) as a patient tutor and study partner, while the thinking, the writing and the grades stay yours.
You will also learn to stay on the right side of your school or university rules, so AI helps your results instead of putting them at risk.
You will learn to
- Get hard topics explained in plain language, then test your understanding
- Turn lectures and readings into clear notes
- Make flashcards and practice questions, and check every answer
- Use AI as a tutor that gives hints instead of just answers
- Plan, outline and improve essays in your own words
- Research sources carefully and avoid made-up references
- Build a revision plan and manage your time before exams
- Use AI honestly, protect your privacy and prepare for your future career
What is inside
- 17 short video lectures in 5 sections
- Copy-and-paste prompts for notes, quizzes, tutoring and planning
- 5 hands-on assignments, 3 quizzes and 3 AI role plays
- Tool-neutral lessons that work with any AI assistant
Made for school, college and university students, and for adults returning to study. No technical background is needed. Start with the free preview lectures.
Who this course is for
High school, college and university students who want to study more effectively
Adult learners returning to study who want a clear, honest way to use AI
Anyone who wants help with notes, revision and writing without breaking school rules
Students who want to understand AI's limits, including mistakes, made-up sources and bias
Homepage
https://www.udemy.com/course/ai-for-students-study-smarter-write-better-learn-faster/https://rapidgator.net/file/d550d5e51bee24867b3487484cf3cd2c/AI_for_Students_Study_Smarter,_Write_Better,_Learn_Faster.rar.html
https://nitroflare.com/view/6BCA9034F3E9533/AI_for_Students_Study_Smarter%2C_Write_Better%2C_Learn_Faster.rar
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Category: Tutorials
- views: 34
- date: 29 October 2026
- posted by: 0nelove
AI Literacy for Everyone: Capabilities, Limits, Ethics
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 50m | Size: 1.51 GB
Master AI Concepts, Limitations, Prompting, Output Evaluation, Privacy, Bias & Responsible Workplace Use
What you'll learn
Distinguish AI, machine learning, deep learning, and generative AI with conceptual clarity without technical jargon.
Describe at a high level how AI systems learn, predict next tokens, and generate multimodal outputs from statistical patterns.
Recognize common failure modes including hallucinations, reasoning gaps, overconfidence, and context window limits.
Apply a systematic 4-gate verification framework to audit AI claims against primary source evidence.
Safeguard private, medical, and confidential organizational data against leakage, retention traps, and prompt injection attacks.
Identify algorithmic bias, audit fairness trade-offs, and establish human-in-the-loop review boundaries for workplace AI tasks.
Requirements
No programming experience or mathematics background required.
No paid AI subscriptions or software installation needed (100% conceptual and tool-independent).
An open, curious mind ready to critically evaluate AI tools and claims in professional and academic settings.
Description
Master the foundational concepts, real capabilities, critical limits, ethics, and workplace governance of Artificial Intelligence—without writing a single line of code.
Artificial Intelligence is transforming every modern industry, from education and healthcare to business, law, and creative work. Yet most people are caught between two unhelpful extremes: hyperbolic marketing hype that portrays AI as omniscient, and apocalyptic doom that treats it as uncontrollable. To navigate today's workplace and digital society, you do not need to be a software engineer or data scientist. What you need isdurable AI literacy: a clear, conceptual mental model of how AI actually works, where it excels, where it fails, and how to govern its use responsibly.
AI Literacy for Everyone is a comprehensive, publication-grade masterclass featuring45 meticulously animated lectures across 9 structured modules. Designed from the ground up to be 100% conceptual and tool-independent, this course delivers enduring principles that remain true regardless of which commercial tools come and go.
What Makes This Course Stand Out
-100% Conceptual & Jargon-Free: Every concept—from statistical pattern matching and next-token prediction to embedding spaces and multimodal attention—is explained through intuitive mental models, animated diagrams, and real-world analogies.
-Studio-Grade Animated Visuals: Every lecture is delivered in high-contrast 1080p with animated frameworks, comparison cards, and live word-level synchronized captions. No boring slideshows, code walkthroughs, or tool-specific screen recordings.
-Critical Thinking & Verification First: Learn how to spot hallucinations, audit algorithmic bias, evaluate primary sources, and avoid automation bias.
-Comprehensive Ethics, Privacy & Governance: Practical guidance on confidential data protection, prompt injection security, copyright attribution, fairness trade-offs, and establishing human-in-the-loop review boundaries.
-Capstone Integrated Scenario: Synthesize your learning through a complex, real-world case study auditing an automated social-service intake and triage system.
Course Curriculum by Module
Module 1: AI: What It Is and Why It Matters (Lectures 1–3)
Establish clear foundations. Distinguish rule-based automation from artificial intelligence, understand why narrow AI dominates modern applications, and map AI's impact across daily life and work.
Module 2: A Conceptual Map of AI (Lectures 4–8)
Deconstruct the AI family tree. Clarify the relationships between Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Explore data, algorithms, models, the distinction between training and inference, and the critical danger of overfitting.
Module 3: How AI Systems Produce Outputs (Lectures 9–14)
Demystify modern generative models. Understand how statistical pattern detection differs from human understanding, how tokenization and next-token prediction produce fluent text, and how multimodal models bridge text, audio, images, and video.
Module 4: Working with AI Tools (Lectures 15–20)
Master effective human-AI collaboration. Learn how context shaping, clear constraints, few-shot examples, and iterative refinement steer model outputs, while recognizing context window limits and stochastic variability.
Module 5: Evaluating AI Outputs (Lectures 21–26)
Build rigorous critical evaluation habits. Identify fabricated citations and confident hallucinations, contrast plausibility with factual accuracy, and apply a systematic evidence-first verification workflow.
Module 6: Privacy, Confidentiality, and IP (Lectures 27–31)
Safeguard organizational and personal assets. Master data lifecycle and retention risks, defend against prompt injection and social engineering, and navigate intellectual property, copyright, and fair attribution.
Module 7: Bias, Fairness, and Social Impact (Lectures 32–36)
Examine the social dimensions of AI. Trace historical and measurement bias in training datasets, understand mathematical fairness trade-offs, and assess systemic impacts on vulnerable groups.
Module 8: Practical AI at Work and Study (Lectures 37–42)
Implement responsible workplace practices. Select suitable tasks for AI assistance, enforce accountability, navigate organizational policies, foster honest academic usage, and establish risk-calibrated review boundaries.
Module 9: Critical Thinking, Myths, and Next Steps (Lectures 43–45)
Debunk common myths, master a durable 4-step decision framework for future technologies, and complete the comprehensive Capstone Integrated Scenario Assessment.
Who This Course Is For
- Professionals, business analysts, project managers, and executives who need to make informed, responsible decisions about AI adoption.
- Educators, researchers, and students who want to understand generative AI capabilities and ethical usage guidelines.
- Non-technical professionals who want to lead AI conversations in their organizations with total confidence.
Who this course is for
Professionals, managers, educators, and leaders who want comprehensive AI literacy to guide workplace decisions.
Knowledge workers and students seeking to use generative AI responsibly, effectively, and ethically.
Non-technical teams looking for a durable, hype-free mental framework that outlasts specific software tools.
Homepage
https://www.udemy.com/course/ai-literacy-for-everyone-capabilities-limits-ethics/https://rapidgator.net/file/de42512730431e2cddc6cd68de44e4f2/AI_Literacy_for_Everyone_Capabilities,_Limits,_Ethics.part2.rar.html
https://rapidgator.net/file/c6ecfcb77bab37ec75117d3636a978f2/AI_Literacy_for_Everyone_Capabilities,_Limits,_Ethics.part1.rar.html
https://nitroflare.com/view/AAB48C54AC0387F/AI_Literacy_for_Everyone_Capabilities%2C_Limits%2C_Ethics.part2.rar
https://nitroflare.com/view/53B797A50A710AB/AI_Literacy_for_Everyone_Capabilities%2C_Limits%2C_Ethics.part1.rar
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Category: Tutorials
- views: 49
- date: 29 October 2026
- posted by: 0nelove
AI Job Search System: Resume, ATS, LinkedIn and Interviews
Published 10/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 11m | Size: 3.46 GB
Use AI to target the right roles, beat ATS screening, write truthful resumes, ace interviews and negotiate offers
What you'll learn
Define a concrete target role with anchored salary, level and location, and test it against real market data
Decode any job description into the real skills it asks for and spot red flags before you apply
Get past ATS and AI-assisted screening with truthful, keyword-aware resumes, without keyword stuffing
Build a Master Career Profile and Achievement Bank that powers every resume and cover letter
Use AI responsibly across your search: what to never fabricate, what to never upload, how to verify
Find openings and referrals through job boards, networks and outreach that gets replies
Prepare for interviews with STAR stories and AI practice, then evaluate offers with a 100-point scorecard
Negotiate salary from evidence and plan your notice period and first 90 days in the new role
Requirements
No prior experience with AI tools needed; a free AI assistant account is enough
A current CV or work history to build from
A spreadsheet app (Excel or Google Sheets) for the job tracker and templates
Description
This course contains the use of artificial intelligence.
This AI job search course gives you a complete, repeatable system instead of pasting a job description into ChatGPT™ and hoping for the best. You will follow an 18-step Job Acquisition Operating System that takes you from a vague wish to a signed offer and a strong first 90 days, with AI doing the heavy lifting and you staying in control of every claim.
You start by defining a concrete target role, reading the job market like an analyst and spotting ghost jobs and fake listings. You build a researched list of target companies, find real current openings across job boards, networks and direct outreach, and decode any job description into the real skill set it asks for.
Then you learn how Applicant Tracking Systems (ATS) and AI screening layers actually process applications, and how to get through them without keyword stuffing. You build a Master Career Profile and Achievement Bank once, and turn it into a truthful, targeted ATS resume and a cover letter that gets read, in minutes per application. You build a personal brand beyond LinkedIn®, write outreach that gets replies, and activate referrals.
The second half covers applying and tracking at scale, handling recruiter calls, interview preparation with STAR stories and AI practice, salary research, a 100-point offer evaluation scorecard and evidence-based salary negotiation. You finish with resilience strategies for a long search, a notice-period plan and a 30/60/90-day plan for your new role.
You practise as you go. Each of the 18 sections ends with a 10-question quiz and an AI role play where you rehearse a real job-search conversation, and a final practice-test section gives you two 50-question timed practice tests with an explanation for every answer.
Responsible AI is built in throughout:what never to fabricate, what never to upload, and how to verify every AI output. Workshops and demo lectures use a tracker and template pack so you build your own job-search system as you go. The examples are India-focused and globally relevant.
LinkedIn® is a registered trademark of LinkedIn Corporation. ChatGPT is a trademark of OpenAI. This course is independently developed and is not affiliated with, sponsored by, or endorsed by LinkedIn Corporation or OpenAI.
Who this course is for
Professionals planning a job change who want a structured, repeatable search system
Job seekers applying online who rarely hear back and suspect ATS screening
Graduates and early-career candidates building their first targeted applications
Experienced professionals returning to the market or moving into a new domain
Candidates in India and globally who want to use AI tools responsibly in their search
Homepage
https://www.udemy.com/course/ai-job-search-system-resume-ats-linkedin-and-interviews/https://rapidgator.net/file/7a64fcfe7bd67bcb34356f82d0e86867/AI_Job_Search_System_Resume,_ATS,_LinkedIn_and_Interviews.part4.rar.html
https://rapidgator.net/file/208ee12bd08a8011dc516bb3a98ee381/AI_Job_Search_System_Resume,_ATS,_LinkedIn_and_Interviews.part3.rar.html
https://rapidgator.net/file/1e7c19c4493ed217ff0e1e72709c1127/AI_Job_Search_System_Resume,_ATS,_LinkedIn_and_Interviews.part2.rar.html
https://rapidgator.net/file/7e5600fe870f75fc3aa1b792fe25d5b6/AI_Job_Search_System_Resume,_ATS,_LinkedIn_and_Interviews.part1.rar.html
https://nitroflare.com/view/BEF0BBDFA441896/AI_Job_Search_System_Resume%2C_ATS%2C_LinkedIn_and_Interviews.part4.rar
https://nitroflare.com/view/8F806A5269AD2EA/AI_Job_Search_System_Resume%2C_ATS%2C_LinkedIn_and_Interviews.part3.rar
https://nitroflare.com/view/B02123AF02617A8/AI_Job_Search_System_Resume%2C_ATS%2C_LinkedIn_and_Interviews.part2.rar
https://nitroflare.com/view/D0D48D5A4817989/AI_Job_Search_System_Resume%2C_ATS%2C_LinkedIn_and_Interviews.part1.rar
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Category: Tutorials
- views: 64
- date: 29 October 2026
- posted by: 0nelove
AI for Job Seekers: Land More Interviews and Offers with AI
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 46m | Size: 1.15 GB
Tailor your CV, ace interviews and negotiate offers with AI. Copy-and-paste prompts, AI role plays and a 30-day plan.
What you'll learn
Read a job ad like a recruiter and turn it into a clear checklist of must-haves, keywords and gaps
Build a truthful master CV and tailor it to any job ad, using AI as your assistant and not your author
Write cover letters, LinkedIn text and outreach messages that sound like you, not like a template
Turn everyday duties into achievement-focused CV bullets without inventing a single number
Build a story bank with the STAR method and answer behavioural questions with confidence
Practise with an AI mock interviewer and use its feedback to improve every answer
Research salary and benefits, then negotiate an offer with a clear and polite script
Use AI responsibly: protect your data, keep your own voice and never fake experience
Follow a simple 30-day plan to organise your job search and track every application
Requirements
An AI chat tool such as Claude or ChatGPT (a free plan is enough)
Your current CV, or a list of your jobs, projects and studies
One real job ad you would like to apply for
No technical or coding background needed
Description Applying for jobs is slow, stressful and easy to get wrong. AI can make it faster and sharper, but only if you use it well. Used badly, it gives you generic CVs, copied cover letters and made-up claims that fall apart in an interview.
This course shows you how to use an AI assistant (such as Claude or ChatGPT) as a coach and drafting partner for your whole job search, while you stay the author and the fact-checker. You finish with real documents, not just ideas.
What you will walk away with
- A truthful master CV and a tailored version for a real job ad
- A cover letter, LinkedIn profile and outreach messages that sound like you
- A bank of interview stories built with the STAR method
- Practice with an AI mock interviewer, including tough questions
- A salary research and negotiation plan, with a role play to rehearse it
- A 30-day action plan you can start this week
How the course works
- 26 short video lectures in 8 sections, from reading a job ad like a recruiter to negotiating the offer
- Copy-and-paste prompts you can reuse for every application
- 8 hands-on assignments, 4 quizzes and 3 AI role plays (interview and salary talks)
- Tool-neutral teaching, so it does not go out of date when an app changes its buttons
Honest by design. You will learn what never to invent, what never to paste into a chat (like ID numbers or your full address), and how to check every AI answer before it goes out.
No technical background is needed. Bring your current CV and one job ad you would like to apply for, and start with the free preview lectures.
Who this course is for
Fresh graduates applying for their first job
Professionals changing careers or returning to work
Anyone who wants to apply faster with AI without sounding generic or fake
Job seekers who want to prepare better for interviews and salary talks
Homepage
https://www.udemy.com/course/ai-for-job-seekers-land-more-interviews-and-offers-with-ai/https://rapidgator.net/file/af90e7c98bdbb970c8ee841a81ce1769/AI_for_Job_Seekers_Land_More_Interviews_and_Offers_with_AI.part2.rar.html
https://rapidgator.net/file/a49ae4debda06712ceed24a566b72597/AI_for_Job_Seekers_Land_More_Interviews_and_Offers_with_AI.part1.rar.html
https://nitroflare.com/view/F1B4E89724AB71B/AI_for_Job_Seekers_Land_More_Interviews_and_Offers_with_AI.part2.rar
https://nitroflare.com/view/DFBA4C34D34861A/AI_for_Job_Seekers_Land_More_Interviews_and_Offers_with_AI.part1.rar
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Category: Tutorials
- views: 79
- date: 29 October 2026
- posted by: 0nelove
AI Productivity Masterclass: Work Smarter & Save Time
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 48m | Size: 1.77 GB
Use AI to improve workplace efficiency, manage projects, streamline communication, and automate routine tasks
What you'll learn
Understand the fundamentals of Artificial Intelligence (AI) and its applications in everyday productivity.
Use ChatGPT and AI assistants to simplify daily tasks and improve work efficiency.
Apply prompt engineering techniques to generate more accurate, relevant, and useful AI responses.
Create professional emails, reports, business documents, and written content using AI writing tools.
Use AI tools to improve time management, task prioritization, and daily planning.
Generate meeting agendas, summarize discussions, organize notes, and identify actionable tasks using AI.
Improve productivity with AI-powered documents, spreadsheets, and presentations.
Use AI tools for research, information analysis, summarization, and personalized learning.
Generate creative ideas and develop content for blogs, social media, videos, and marketing campaigns using AI.
Apply AI tools to improve business productivity, entrepreneurship, customer communication, and routine operations.
Organize tasks, projects, notes, and personal responsibilities using AI-powered productivity tools.
Understand the fundamentals of no-code AI automation and streamline repetitive workflows.
Use AI tools to improve remote work, team collaboration, communication, and project coordination.
Identify AI-generated inaccuracies, verify information, and evaluate AI responses critically.
Apply AI privacy, data security, and responsible usage principles when working with AI tools.
Select appropriate AI tools based on personal, professional, and business productivity needs.
Create reusable AI prompts and workflows for recurring tasks.
Build a personalized AI productivity system to manage tasks, automate routine activities, and achieve goals more efficiently.
Requirements
No Prerequisites Required
Description
This course contains the use of artificial intelligence. Welcome to theAI Productivity Masterclass, your practical guide to usingArtificial Intelligence (AI), ChatGPT, and AI productivity tools to save time, simplify everyday tasks, and work smarter. In today's digital world, AI is transforming how we work, learn, communicate, and manage our daily responsibilities. This course will help you understand and applyAI tools for productivity effectively, even if you have no technical background or prior experience.
Learn how to useChatGPT and AI assistants for everyday tasks, masterprompt engineering techniques to get better results, write professional emails and reports, manage your time more effectively, organize tasks, summarize meetings, and improve documents, spreadsheets, and presentations. You will also exploreAI-powered research, learning, content creation, business productivity, project organization, and no-code automation.
Discover practical ways to useAI for brainstorming, creating content, streamlining repetitive tasks, improving communication, managing information, and making everyday workflows more efficient. You will learn how to select suitableAI tools, develop reusable prompts, create effective workflows, and build your own personalizedAI productivity system.
This course is ideal for students, working professionals, entrepreneurs, freelancers, managers, content creators, and business owners who want toboost productivity with AI. No coding, programming, or technical expertise is required. The lessons focus on practical applications that you can adapt to your personal life, studies, business, or workplace.
You will also learn aboutAI accuracy, data privacy, security, and responsible AI usage so that you can use artificial intelligence more confidently and effectively. Whether you are new to AI or looking to improve your existing workflow, this course will help you exploreAI tools, automate routine tasks, save valuable time, and focus on what matters most.
Enroll in theAI Productivity Masterclass and discover how towork smarter with AI, improve efficiency, and makeartificial intelligence a valuable part of your everyday life.
Who this course is for
Beginners, students, professionals, entrepreneurs, and anyone who wants to boost productivity using AI tools without coding.
Homepage
https://www.udemy.com/course/ai-productivity-masterclass-work-smarter-save-time-boost/https://rapidgator.net/file/394a068d2ce60adeb03cd814cdb82fa6/AI_for_Everyday_Work_Save_Hours_Every_Week_with_AI.rar.html
https://nitroflare.com/view/82983692AEE14A3/AI_for_Everyday_Work_Save_Hours_Every_Week_with_AI.rar
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Category: Tutorials
- views: 56
- date: 29 October 2026
- posted by: 0nelove
AI 3D Modeling with Blender: Create and Sell 3D Assets
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 46m | Size: 624.99 MB
Learn AI 3D modeling, Meshy AI, Blender, GLB and FBX exports, and how to prepare 3D assets for the Fab marketplace.
What you'll learn
Find 3D asset ideas and use Pinterest reference images to plan original 3D models for games and digital marketplaces.
Generate 3D models using AI tools such as Meshy AI and download models in GLB format.
Import AI-generated 3D models into Blender, inspect their geometry and materials, and prepare them for export.
Export 3D assets in suitable formats such as GLB, FBX, OBJ, and STL, and learn how to prepare listings for the Fab marketplace.
Requirements
No prior 3D modeling experience is required.
Description
AI 3D Modeling with Blender: Create and Sell 3D Assets
Do you want to learn how to create 3D models with AI, edit them in Blender, and prepare them for digital marketplaces? This beginner-friendly course will guide you through a practical workflow for creating 3D assets using AI-powered tools and free 3D software.
You will learn how to research 3D asset ideas, collect reference images, generate models with AI tools such as Meshy AI, and import your models into Blender for further inspection and editing. You will also explore how to export your work in suitable file formats and prepare professional product listings for the Fab marketplace.
What You Will Learn
- How to research 3D model ideas and explore asset categories.
- How to use Pinterest images as visual references for original 3D projects.
- How to write prompts for AI-powered 3D model generation.
- How to generate 3D models using text and image references.
- How to download generated models in GLB format when supported.
- How to import 3D models into Blender.
- How to inspect model geometry, scale, orientation, materials, and textures.
- How to export models in formats such as GLB, FBX, OBJ, and STL when appropriate.
- How to organize model files and prepare preview images.
- How to write product titles, descriptions, and tags for 3D asset listings.
- How to prepare and submit a 3D asset for review on the Fab marketplace.
A Practical, Step-by-Step Workflow
Throughout the course, you will follow a practical process from choosing a model idea to preparing a finished asset for marketplace submission. You will learn how different tools work together and how to check your model before presenting it to potential buyers.
The course emphasizes practical skills, beginner-friendly explanations, and a workflow that you can repeat for different types of 3D assets, including game props, stylized objects, and simple product models.
Who Should Take This Course?
This course is suitable for beginners, aspiring 3D artists, digital creators, game development enthusiasts, and freelancers who want to explore AI-assisted 3D modeling.
No previous professional 3D modeling experience is required. Basic computer skills and a willingness to practice are enough to get started.
What You Need
You will need a computer capable of running Blender and an internet connection to access online AI modeling tools. Blender is free to use. Some AI tools may require a paid subscription or have limitations on downloads and export formats.
Start Creating Your Own 3D Assets
By the end of this course, you will understand the main steps involved in generating a 3D model with AI, refining it in Blender, exporting suitable files, and preparing a marketplace submission.
Who this course is for
Beginners who want to learn AI-assisted 3D modeling from scratch.
Aspiring 3D artists who want to create digital assets using AI tools and Blender.
Game developers who want to learn how to prepare 3D assets for game projects.
Digital creators interested in exporting models in different 3D file formats.
Anyone interested in exploring AI-powered 3D content creation and digital asset selling.
Homepage
https://www.udemy.com/course/ai-3d-modeling-with-blender-create-and-sell-3d-assets/https://rapidgator.net/file/718089d70d37d0f81c0869639482361a/AI_3D_Modeling_with_Blender_Create_and_Sell_3D_Assets.rar.html
https://nitroflare.com/view/DC99CC2E41C2384/AI_3D_Modeling_with_Blender_Create_and_Sell_3D_Assets.rar
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Category: Tutorials
- views: 49
- date: 29 October 2026
- posted by: 0nelove
Pen Testing: Endpoint Initial Access
Released 10/2026
By Corey
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 56m 12s | Size: 174.1 MB
Security assessments live or die on that first point of entry, yet real footholds rarely come from exotic exploits.
Security assessments live or die on that first point of entry, yet real footholds rarely come from exotic exploits. They come from exposed services, weak passwords, and misconfigurations across every kind of system on the network. In this course, Pen Testing: Endpoint Initial Access, you'll gain the ability to obtain and validate an initial foothold across mixed environments. First, you'll explore gaining access to Linux endpoints by enumerating exposed services, exploiting weak credentials and misconfigurations, and abusing an exposed Docker daemon. Next, you'll discover how to compromise Windows endpoints through SMB and remote-service weaknesses, local password spraying, and PowerShell execution and bypass techniques. Finally, you'll learn how to reach network devices and access points over legacy management protocols, identify default and weak credentials, and capture proof of access without disrupting the device. When you're finished with this course, you'll have the skills and knowledge of initial access and foothold techniques needed to find, exploit, and prove entry points across Linux, Windows, and network infrastructure.
https://rapidgator.net/file/3e696d28a8fddacec6f939907f192147/Pen_Testing_Endpoint_Initial_Access.rar.html
https://nitroflare.com/view/57B6D33FBED8CDC/Pen_Testing_Endpoint_Initial_Access.rar
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Category: Tutorials
- views: 71
- date: 29 October 2026
- posted by: 0nelove
Security Architecture Fundamentals: Biba, Bell-LaPadula, SABSA, and Enterprise Models
Released: 10/2026
Duration: 2h 7m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 293 MB
Level: Beginner | Genre: eLearning | Language: English
Gain foundational knowledge of security architecture concepts, principles, and models. Delve into the foundational security models that underpin modern architecture, in particular the Bell-LaPadula model and the Biba integrity model, with practical example scenarios illustrating when and how each model is applied. Compare the two models, then explore the concepts of browse up and browse down, read and write restrictions, and the appropriate circumstances for using confidentiality versus integrity models in architectural design. Study access control models and learn how to enforce hierarchical controls across enterprise systems. Examine the Sherwood Applied Business Security Architecture (SABSA) framework and enterprise security models. This course is designed for security architects, security engineers, IT professionals, and technical leaders seeking to learn how to design and implement secure enterprise systems that align with business objectives and effectively manage risk.
This course was created by Rahul Kaundal and Itelcotech. We are pleased to host this training in our library.
Homepage
https://www.linkedin.com/learning/security-architecture-fundamentals-biba-bell-lapadula-sabsa-and-enterprise-models/https://rapidgator.net/file/cc336caa2588f99bddb7f64800e11940/Security_Architecture_Fundamentals_Biba,_Bell-LaPadula,_SABSA,_and_Enterprise_Models.rar.html
https://nitroflare.com/view/225046DD9F99FA3/Security_Architecture_Fundamentals_Biba%2C_Bell-LaPadula%2C_SABSA%2C_and_Enterprise_Models.rar
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Category: Tutorials
- views: 38
- date: 29 October 2026
- posted by: 0nelove
Smarter Operations with AI: Improving Efficiency and Automation
With Rahul Kaundal and Itelcotech
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 20m | Size: 385.6 MB
Learn how to design, implement, and govern intelligent operation systems to enhance efficiency. Explore data foundations, core AI capabilities, and cybersecurity operations.
Course details
Get an overview of intelligent operations, focusing on how AI, automation, and data-driven decision-making transform digital system management. Explore the data that powers intelligent operations. Learn to distinguish between observability and monitoring, build robust data pipelines, and understand real-time and batch processing. Discover core AI capabilities for operations and automation. Check out intelligent operations in action through case studies of performance optimization, incident detection and resolution, customer experience improvement, and risk and security monitoring. Examine autonomous systems, AI-augmented decision-making, edge and real-time intelligence, and emerging trends while also learning how to implement AI governance and cybersecurity. This course is designed for AI engineers, site reliability engineers, IT operations professionals, and technical leaders who want to understand how to build, operate, and lead smarter, more resilient infrastructure. This course was created by Rahul Kaundal and Itelcotech. We are pleased to host this training in our library.
Skills covered
AI for Business, Generative AI, Artificial Intelligence (AI), Business Process Improvement
https://rapidgator.net/file/39a71083ede551237a8212797caaa23e/Smarter_Operations_with_AI_Improving_Efficiency_and_Automation.rar.html
https://nitroflare.com/view/A6B32B20F03E2FB/Smarter_Operations_with_AI_Improving_Efficiency_and_Automation.rar
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Category: Tutorials
- views: 41
- date: 29 October 2026
- posted by: 0nelove
Software Factories for Real Engineers
Released 10/2026
By Matt Pocock
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 38 Lessons ( 2h 58m ) | Size: 1.6 GB
Use your Real Engineering skills to ship code at scale and maintain a self-improving codebase
Let's talk about the real promise of AI coding, and how you and your engineering team can cut through the hype to do more of what Real Engineers actually care аbout: building better software.
The simple truth about coding agents is that they're entropy-generating machines. Even in tiny code bases (even in one-line changes), the agent can produce garbage. They don't think, they don't have judgment, and so it's so easy for agents to produce rubbish. even really smart, powerful agents, even with the latest harnesses.
This is why there will always be work for engineers: systems are big and complicated and messy and human, and coding agents by default can only chew on the problem you place in front of them and they can only see the narrow little window of what they're working on. They can't "get the big picture" unless you give it to them.
So, if you just sit down and start using a coding agent, you inevitably find yourself in an unpleasant position
You're a Bug Catcher: you find your role reduced to code review and bug-finder
You're a Babysitter: you spend all day juggling terminal windows and switching context, correcting and giving feedback live, as it happens
You get Brain Fry: You end your work day feeling like spreadable goo
Not to mention the waste of time and tokens.
And slop. Slop is always a problem.
But there's good news
Quality, reliability, and waste (of time, tokens, and brainpower) are engineering problems.
And that means you can find engineering solutions to each of them.
Even better, we don't need to start from scratch. We can look at decades of the best engineering thinking (the rules and practices that work with huge human teams, like DDD, deep modules, tracer bullets) and adapt them to build a system that actively helps you by anticipating problems, solving emergent ones, and cleaning up after itself.
Classic Concepts + Coding Agents
Earlier this year, I was thumbing through the classic programming books where these battle-tested ideas originated. Books like The Pragmatic Programmer, Working Effectively With Legacy Code, A Philosophy of Software Design.
I found myself nodding along, and realized that while everyone was saying we need to throw out the old rules because "AI changes everything" these classic engineering concepts were exactly the solutions to slop.
With these ideas fresh in my mind, I found it was entirely possible to.
Automate low-end tasks
Delegate well-spec'd work to a system you can trust
Assign your coding agent to chew through tickets, and come back to clean code and informative PRs for your review
Spend more time on the strategic thinking that really matters
Tackle optimizations and refactors your team could never find time for before
Increase your and your team's codebase and domain knowledge
Make your large, complex, evolving codebase the best it's ever been
In the real world: with a team, with brownfield codebases, and with a budget.
In other words, you can build a working Software Factory.
One where you can elevate your role
Without a factory
Bug Catcher: your role is reduced to code review and bug-finding
Babysitter: you juggle terminal windows all day, correcting the agent live
Brain Fry: you end the work day feeling like spreadable goo
With a Software Factory
Strategic Thinker: your time goes to the strategic thinking that really matters
Skillful Delegator: well-spec'd work goes to a system you can trust
Real Engineer: you wrap up the day relaxed and satisfied
It's not easy or obvious how to get to this level. It's certainly not a feature of coding agent harnesses: /goal simply will not get the job done.
And most of the folks who talk about closing thousands of tickets in a month work at AI labs or companies with unlimited tokens. It seems like even when it works, it's still a fantasy.
But this is an engineering problem. And you're an engineer.
I've already helped thousands of engineers like you apply a Real Engineering approach to AI coding, achieving excellent quality using my Real Engineering Loop. And this is a fantastic approach for new projects, exploratory work, and highly complex moving parts.
But it's not necessary for more mundane stuff like stacks of tickets. That's where a Software Factory approach can really shine.
I've built and battle-tested a working Software Factory.
And in my brand new 2-week cohort course, you'll learn how to do it for yourself.
https://rapidgator.net/file/3f8deef58f250b31d30617ee5159da8b/Software_Factories_for_Real_Engineers.part2.rar.html
https://rapidgator.net/file/8a94b5417f9334d70cf6e97ad3fac674/Software_Factories_for_Real_Engineers.part1.rar.html
https://nitroflare.com/view/AB7236CBD0C3F40/Software_Factories_for_Real_Engineers.part2.rar
https://nitroflare.com/view/CA48EBF3B357FDE/Software_Factories_for_Real_Engineers.part1.rar
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