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Ubuntu Linux Users, Groups & Permissions: Complete Guide
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 14m | Size: 1.06 GB

Master Ubuntu Linux user management, groups, permissions, sudo, and ACLs through hands-on labs and ready-to-use scripts.

What you'll learn
Provision, modify, and manage Ubuntu users and groups using production CLI tools, environment configs, and user account workflows.
Apply POSIX symbolic and octal permissions, SUID, SGID, and Sticky Bits to secure shared directories and system files.
Configure secure privilege escalation via visudo snippets, password aging policies, and granular POSIX Access Control Lists (ACLs).
Audit permission vulnerabilities, troubleshoot access denied errors, and build full identity automation scripts for Ubuntu systems.

Requirements
Basic familiarity with using a terminal command line and access to an Ubuntu Linux environment (Virtual Machine, Cloud Instance, or Dual Boot). No prior sysadmin experience required!

Description
This course contains the use of artificial intelligence.

Stop guessing with chmod 777: learn to control exactly who can read, write, and run everything on your Ubuntu server.

Who this course is for

- Aspiring Linux system administrators and DevOps beginners

- Developers who deploy to Ubuntu servers and keep hitting "Permission denied"

- IT support staff who create and remove user accounts

- Students preparing for Linux certifications (LPIC, CompTIA Linux+, RHCSA-style skills)

- Home-lab users who want a secure multi-user server

What you will learn

- Create, modify, lock, expire, and delete users and groups with useradd, usermod, groupadd, and gpasswd

- Provision many accounts at once with a safe, repeatable Bash script

- Read and set file permissions in symbolic and octal form with chmod, chown, and umask

- Understand why directories need the execute bit and diagnose failures with namei

- Build shared team folders with the setgid bit and protect drop folders with the sticky bit

- Find and audit risky setuid, setgid, and world-writable files

- Write least-privilege sudo rules with visudo and /etc/sudoers.d

- Enforce password aging and password quality with chage and pwquality

- Grant per-user and per-group access with ACLs, default ACLs, and the ACL mask

- Offboard an employee safely without losing their data

Requirements

- A computer that can run an Ubuntu 22.04 or 24.04 virtual machine (VirtualBox, Multipass, or a cloud server)

- Basic comfort opening a terminal; no prior Linux administration needed

Final project You will secure a department file server from scratch. You create users and groups with the provisioning script, build private HR, Finance, and IT folders with correct modes and setgid, give IT read-only audit access with ACLs, and allow IT to restart one service through a scoped sudo rule. You then apply password aging, run the audit commands, and offboard a user. You submit your audit output as proof that the server is locked down.

Who this course is for
Aspiring Linux System Administrators, DevOps Engineers, and Security Analysts who want to master identity, sudo, and permission management on Ubuntu Linux.

https://rapidgator.net/file/b3d712f3f1128fbf3386e0412d270578/Ubuntu_Linux_Users,_Groups_&_Permissions_Complete_Guide.part2.rar.html
https://rapidgator.net/file/df3385692714d73dcd74bdc46354006a/Ubuntu_Linux_Users,_Groups_&_Permissions_Complete_Guide.part1.rar.html

https://nitroflare.com/view/6D5B1D85D728296/Ubuntu_Linux_Users%2C_Groups_%26amp%3B_Permissions_Complete_Guide.part2.rar
https://nitroflare.com/view/4B936118AAB0274/Ubuntu_Linux_Users%2C_Groups_%26amp%3B_Permissions_Complete_Guide.part1.rar

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• views: 38
• date: 19 October 2026
• posted by: DrZero

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• date: 18 October 2026
• posted by: 0nelove

Cell Culture & Preclinical Research: Design & Interpretation
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 1h 31m | Size: 374.08 MB

Choose cell models, design controls, interpret assays and build a feasible research proposal in a 16-week course

What you'll learn
Justify a cell model against a focused biological question and define the limits of its conclusions.
Distinguish identity authentication, contamination testing and relevant phenotype checks.
Design controls, balanced allocation and independent replication that separate plausible alternative explanations.
Evaluate assay interference, imaging analysis and the validity of cell-number, viability and functional endpoints.
Interpret effect estimates and uncertainty without confusing cell responses with clinical benefit.
Develop and defend a feasible experimental proposal with quality gates, verified sources and an ethical governance plan.

Requirements
Foundational cell biology and ability to read an English research paper. Basic numerical interpretation is helpful; advanced statistics is not required. Activities are desk-based and require no laboratory access.

Description
This course contains the use of artificial intelligence. AI assists scripts, original visual production and the synthetic conversational voices.

A beautiful cell signal is only the beginning. Can you defend the experiment?
A culture looks healthy. A graph shows a difference. Hundreds of cells were measured. Before accepting the conclusion, ask whether the model fits the question, the controls separate alternatives and the measurement supports the claim.

JoinShu-Chen Hou, PhD, and a curious host for a 16-week university-style course in cell culture and preclinical research design. The host challenges assumptions, introduces realistic cases and asks you to decide before the instructor reveals the reasoning.

From model choice to a feasible proposal
- Compare primary cells, cell lines and more complex models against a focused question.

- Separate identity, contamination and relevant phenotype checks.

- Plan controls, balanced allocation and appropriate independent replication.

- Investigate assay interference and evaluate image sampling and analysis.

- Distinguish cell number, viability, proliferation and functional endpoints.

- Interpret uncertainty and keep laboratory responses separate from clinical benefit.

- Build and defend an experimental proposal with quality gates, verified sources and a realistic timeline.

Learn through conversations and decisions
Work through donor confounding, an unresolved culture identity, a contamination incident, a misleading detection signal and a flawed imaging comparison. Original diagrams make experimental hierarchies and alternative explanations visible. Numerical scenarios are clearly labelled fictional and are never presented as published study results.

Your semester toolkit
The downloadable handbook, weekly worksheets, planning templates, reading prompts and analytic rubrics support a journal-club presentation, mid-semester critical appraisal and final research proposal. Udemy learners use self-assessment; individual instructor grading is not promised.

Who this course is for
Advanced undergraduate biomedical and life-science students, learners beginning postgraduate research and early-career researchers planning cell-based studies. Foundational cell biology and ability to read an English research paper are helpful. Advanced statistical derivation is outside the course.

About your instructor
Shu-Chen Hou earned a PhD in Medicine at the University of Bristol, with doctoral training in the Faculty of Medicine & Dentistry, School of Clinical Sciences. Research experience includes primary cell culture, bone biology, preclinical biomedical research, natural products and translational evidence.

How the semester works
Each week combines recorded discussion with guided reading, decisions, workshops and reflection. Approximately two structured learning hours per week gives a 32-hour semester plan; independent reading and assignment preparation are additional. This is not a claim of 32 hours of video. The course includes 18 recorded lectures, approximately 91 minutes of video, plus the guided activities described above. English is the primary language. Captions are provided in English, Simplified Chinese, Traditional Chinese, Japanese, Korean, Brazilian Portuguese, French and German.

This independent educational course awards no university credit and provides no personal diagnosis or treatment. Activities are desk-based and require no cell culture, tissue collection, animal procedures or participant recruitment. Actual laboratory work requires practical training, supervision, institutional permission and current local procedures.

Who this course is for
Advanced undergraduate biomedical and life-science students, learners beginning postgraduate research, and early-career researchers developing cell-based experimental proposals.

https://rapidgator.net/file/0bda68af58f3b7108a10a1da97550f47/Cell_Culture_&_Preclinical_Research_Design_&_Interpretation.rar.html

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• views: 51
• date: 18 October 2026
• posted by: 0nelove

AI-Powered Product Discovery and Strategy
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 4h 15m | Size: 2.13 GB

Part 1 of 5: size a market, map competitors, rank features and plan a roadmap, by hand first, then with AI

What you'll learn
Size a market with TAM, SAM and SOM and decide whether a product should enter it
Map direct, indirect and non-consumption competitors and compare them in one matrix
Find, rank and frame the user problems worth solving before you build anything
Write a product vision and a one-page product strategy
Score features with RICE and ICE and turn the ranking into a 90-day roadmap
Use AI for market research, competitive analysis, trend detection, survey insights and priority scoring
Check every AI output: verify each number, protect personal data and keep the strategic decisions human

Requirements
No product management, design or coding experience needed. The course starts from first principles
A computer with internet access and a free account on an AI assistant such as ChatGPT, Claude or Gemini
About 10 hours a week, or study at your own pace

Description
Most AI courses show you tools. This course teaches you the work first. You learn each product discovery method by hand, so you know what a good answer looks like. Then you use AI to get there faster, and you check what it gives you.

This is Part 1 of the AI-Powered Product Development Accelerator, a five-part program. Part 1 covers product discovery and strategy: the decisions you make before you build anything.

What you do in Part 1
- Size a market with TAM, SAM and SOM and decide whether to enter it
- Map direct, indirect and non-consumption competitors
- Find, rank and frame the user problems worth solving
- Write a product vision and a one-page strategy
- Score features with RICE and ICE
- Turn the ranking into a 90-day roadmap

The first six lessons teach each method step by step, with the time each step takes, a template and a quality checklist. The next five lessons hand one job each to AI: market research, competitive analysis, trend detection, survey insights and priority scoring. Each AI lesson gives you a workflow, tools with prices and a free route, a prompt library and a verification checklist.

Every lesson has a hands-on lab. You run each lab on TRUF, a ride-hailing case study set in Dubai, or on your own product. Part 1 ends with a Project Pack: a competitive analysis matrix, a one-page strategy, a prioritized feature list and a 90-day roadmap.

Three rules run through every lesson: verify every number, never paste personal data into an AI tool, and keep the strategic decisions human.

Next in the program: Part 2, AI-Powered User Research and Validation.

Who this course is for
Aspiring product managers who want a practical, step-by-step way to decide what to build
Designers who want product management skills
Marketers moving into product roles
Founders deciding what their first product should be
Anyone who wants to make product decisions faster with AI, without skipping the fundamentals

https://rapidgator.net/file/b72ed6dfd85ca9e26cd776c52a1df34d/AI-Powered_Product_Discovery_and_Strategy.part3.rar.html
https://rapidgator.net/file/d8d96bee5d15647457df17124c37f566/AI-Powered_Product_Discovery_and_Strategy.part2.rar.html
https://rapidgator.net/file/dba81c13220147eb66f98d9110d5f66c/AI-Powered_Product_Discovery_and_Strategy.part1.rar.html

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• views: 32
• date: 18 October 2026
• posted by: DrZero

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• views: 76
• date: 18 October 2026
• posted by: 0nelove

ChatGPT Masterclass: Practical AI for Work & Business
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 36m | Size: 100.84 MB

Use ChatGPT for real work: write faster, analyze documents and data, and build safe, repeatable workflows.

What you'll learn
Explain how large language models work and why they hallucinate
Verify AI output and know which tasks need the most checking
Use a six-part prompt framework: role, task, context, format, examples, constraints
Draft emails, proposals, SOPs, and marketing copy in your own voice
Summarize documents, research with sources, and analyze spreadsheets
Set up custom instructions, projects, templates, and a safe 30-day plan

Requirements
No technical background needed; basic computer and email skills are enough
A free or paid ChatGPT account is helpful for practicing, but not required to watch the lectures

Description
This course contains the use of artificial intelligence.

I'm Christian, a licensed C-10 electrical contractor in San Diego and an electrical engineer who spent more than six years in semiconductor fabs. I run a small business, and I use ChatGPT every day for real work: emails, proposals, procedures, spreadsheets, and research. This course shows you how to do the same, safely and with good judgment, whether you run a business, manage an office, work in the trades, or sit at a desk.

You will learn how large language models work in plain words, why they hallucinate, and how to verify what they tell you. Then you will learn a practical six-part prompt framework (role, task, context, format, examples, and constraints) and apply it to writing, document summaries, research with sources, and spreadsheet analysis. You will also set up custom instructions, projects, and reusable templates, learn privacy and company-policy basics, and finish with a 30-day adoption plan.

What you get: more than 30 minutes of short, focused lectures; worked before-and-after prompt examples; a downloadable PDF, the ChatGPT Prompt Library for Work, with more than 50 copy-ready prompts organized by category; and a quiz at the end of each content section.

Important notes: AI tools change quickly, so features, plans, and menus may differ from what you see. I describe features generally and teach skills that last, and you should check the current app. AI can make mistakes, so always verify important facts, numbers, and sources. This course is general education and is not legal, financial, safety, or code advice. Always follow your company policy, your local code, and the authority having jurisdiction.

About the production: the narration in this course is generated with an AI text-to-speech voice, and the slides were produced with AI-assisted tools. The content was written and reviewed by the instructor.

Who this course is for
Small business owners and office managers who want to save time on writing and admin
Tradespeople, contractors, and engineers who want practical examples from real work
Professionals who want to use AI safely, with privacy and verification habits
Beginners who have tried ChatGPT but want better, more consistent results

https://rapidgator.net/file/fecd9b6519b69786a10db11142f3ab12/ChatGPT_Masterclass_Practical_AI_for_Work_&_Business.rar.html

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• views: 31
• date: 18 October 2026
• posted by: 0nelove

Cybersecurity for Beginners: Protect Your Devices & Data
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 38m | Size: 988.35 MB

Learn to prevent cyberattacks, detect phishing, secure passwords and Wi-Fi, protect your data, and defend your devices

What you'll learn
Identify common cyber threats, including malware, ransomware, phishing, social engineering, and online scams.
Create stronger passwords, use password managers, and configure multi-factor authentication to protect online accounts.
Apply essential security settings to Windows computers, smartphones, applications, and internet-connected devices.
Secure home Wi-Fi networks using appropriate router settings, encryption, firewalls, and safer browsing practices.
Explain the fundamentals of encryption, data backups, cloud security, online privacy, and personal information protection.
Recognize suspicious emails, fraudulent websites, credential theft attempts, and common business email scams.
Follow practical incident response steps to secure compromised accounts, report security incidents, and recover access safely.
Conduct a basic personal cybersecurity assessment and develop an action plan to reduce digital risks.

Requirements
No previous cybersecurity knowledge or technical experience is required.
No programming or coding skills are needed.
A basic ability to use a computer or smartphone and browse the internet is helpful.
A computer, laptop, tablet, or smartphone with an internet connection is recommended for following the lessons and completing practical exercises.
A willingness to learn about online safety, protect personal information, and practice basic security techniques is all you need to get started.

Description
This course contains the use of artificial intelligence.

The digital world offers incredible opportunities, but it also exposes us to cyber threats such as phishing emails, malware, ransomware, identity theft, fraudulent websites, and account takeovers. You do not need to be a computer expert to understand these risks and take meaningful steps to protect yourself.

This course introduces the essential principles of cybersecurity in clear, accessible language. Through practical examples, visual explanations, real-world scenarios, and guided exercises, you will learn how common cyberattacks work, why they succeed, and how to reduce your risk.

Whether you use a computer for work, manage your finances online, communicate through social media, or simply want to browse the internet more safely, this course will help you build a stronger foundation in digital security.

What You Will Learn

-Cybersecurity Fundamentals: Understand essential security concepts, common threats, vulnerabilities, and digital risks.

-Malware and Online Scams: Recognize viruses, spyware, ransomware, phishing messages, fake websites, and social engineering attacks.

-Password and Account Security: Create stronger passwords, use password managers, enable multi-factor authentication, and protect your online identity.

-Computer and Smartphone Protection: Improve security settings, manage application permissions, install updates, and use security software appropriately.

-Network and Wi-Fi Security: Understand routers, firewalls, IP addresses, VPNs, HTTPS, and safer public Wi-Fi practices.

-Data Protection and Privacy: Learn about encryption, secure cloud storage, backups, file-sharing permissions, and digital footprints.

-Workplace Cybersecurity: Identify invoice fraud, business email compromise, and risks associated with remote work.

-Incident Response: Learn what to do if an account is compromised, suspicious software is installed, or sensitive information is exposed.

-Practical Security Exercises: Apply your knowledge through case studies, checklists, security audits, and a personal cybersecurity action plan.

A Practical, Beginner-Friendly Approach

Cybersecurity can seem complicated when you encounter unfamiliar technical terms. This course breaks those concepts into manageable lessons and uses diagrams, comparisons, examples, and step-by-step explanations to make them easier to understand.

Instead of focusing only on definitions, you will explore how threats develop and how everyday security decisions can prevent common problems.

You will examine suspicious emails, evaluate password practices, review home network security, and learn how to respond when something goes wrong. Downloadable reference materials and checklists will help you turn what you learn into practical habits.

This course is suitable for

- Beginners who want to understand cybersecurity without a technical background.

- Students and professionals who want to improve their digital safety.

- Home computer and smartphone users who want to protect their personal information.

- Remote workers who need to recognize phishing, scams, and common workplace threats.

- Small business owners who want to improve basic security awareness.

- Anyone who wants to become more confident when using online services.

No previous cybersecurity experience or programming knowledge is required.

You only need a computer or smartphone, an internet connection, and a willingness to learn. Some practical exercises involve reviewing your own security settings. You will not need to perform real cyberattacks, purchase specialized equipment, or write code.

By the end of this course, you should be able to recognize common cybersecurity threats, make better decisions about passwords and authentication, strengthen basic device and network security, protect important data, and follow a sensible response plan when a security incident occurs.

Cybersecurity is not about eliminating every possible risk. It is about understanding the risks that matter, reducing avoidable weaknesses, and developing habits that make you a more informed and resilient digital user.

Enroll today and take the first steps toward protecting your digital life.Educational disclaimer: This course provides general cybersecurity education for defensive and preventive purposes. It does not replace professional cybersecurity services, and no security measure can guarantee complete protection against every threat.

Who this course is for
Complete beginners who want to learn cybersecurity fundamentals without needing technical knowledge or previous experience.
Students and lifelong learners who want to develop practical digital safety skills and understand common cyber threats.
Home computer and smartphone users who want to protect their devices, passwords, personal files, and online accounts.
Remote workers and office employees who need to recognize phishing emails, fraudulent websites, social engineering, and workplace security risks.
Small business owners and freelancers who want to improve their basic cybersecurity practices and reduce the risk of data loss or online fraud.
People who use online banking, shopping, cloud storage, and social media and want to protect their accounts and personal information.
Anyone interested in technology and online privacy who wants to understand malware, ransomware, Wi-Fi security, encryption, backups, and digital identity theft.

https://rapidgator.net/file/dcd7c0201e0b73aac13a9a8d6387279d/Cybersecurity_for_Beginners_Protect_Your_Devices_&_Data.rar.html

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• views: 67
• date: 18 October 2026
• posted by: 0nelove

Harness Engineering & AI Verification - Jev for AI Engineers
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 44m | Size: 351.6 MB

Learn Jev for AI Engineers- Harness Engineering & AI Verification and Jev for AI Engineers with Projects

What you'll learn
Understand Harness Engineering Fundamentals: Learn the core principles of harness engineering and how to build reliable environments
Learn Jev for AI Engineers for Harness Engineering
Design and Implement AI Agent Workflows: Develop practical skills to structure AI agents, manage tool interactions
Build Reliable and Production-Ready AI Systems: Implement monitoring, debugging, failure handling

Requirements
You must have basics understanding of RAG Fundamentals

Description
The Jev for AI Engineers: Harness Engineering & AI Verification online course is designed for developers, software engineers, and AI enthusiasts who want to understand how to build reliable, secure, and production-ready AI-powered systems. As artificial intelligence continues to evolve, engineering effective AI workflows requires more than building models and writing prompts. It also involves creating the right environment, tools, automated checks, testing strategies, and verification processes to ensure AI systems perform consistently and produce trustworthy results.

In this course, you will explore the fundamentals of harness engineering and learn how to design structured environments that help AI agents and AI-powered applications execute tasks efficiently. You will understand how to connect AI models with tools, manage workflows, handle errors, validate outputs, and improve the reliability of AI-generated results. The course also introduces important concepts related to AI verification, including testing strategies, output validation, evaluation methods, debugging, and performance monitoring.

You will learn how to identify common AI system failures, detect inaccurate outputs, verify generated code, and establish safeguards that reduce unexpected behavior. The course emphasizes practical engineering approaches for developing AI applications that are maintainable, testable, and suitable for real-world use cases. You will also explore how automation, feedback loops, and systematic evaluation can improve the quality and consistency of AI-driven workflows.

By understanding harness engineering and AI verification, you can develop a stronger foundation for building dependable AI agents, automated development workflows, and intelligent software applications. These skills are valuable for AI engineers, software developers, automation engineers, and technology professionals who want to advance their knowledge of modern AI engineering practices.

Whether you are expanding your existing AI development skills or preparing to work with advanced AI systems, this course will help you understand the engineering principles behind reliable AI applications and provide a foundation for building, testing, evaluating, and improving AI-powered solutions.

Who this course is for
AI Engineers, Software Engineers, ML Engineers, Solutions Architects

https://rapidgator.net/file/7705dd83bddfab0f710dfad2373e4c1f/Harness_Engineering_&_AI_Verification_-_Jev_for_AI_Engineers.rar.html

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• views: 40
• date: 18 October 2026
• posted by: 0nelove

How to Study for the CFPE: Find Any Answer Fast
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h | Size: 587.71 MB

A study method for the open-book Certified Fire Plans Examiner exam: know the books, find the clause, beat the clock.

What you'll learn
Explain how the CFPE exam is built and which reference books it draws on.
Candidates who know the subject but run out of time in open-book exams.
Follow a repeatable lookup path (book, chapter, clause, table row) on worked building examples.
The course does not include NFPA text.

Requirements
Engineers, plans examiners, inspectors and fire protection professionals preparing for the CFPE.
A working knowledge of building plans and fire protection systems. No prior exam experience is needed.
The course does not include NFPA text.

Description
This course contains the use of artificial intelligence.

Narration uses an AI voice cloned from the instructor's own voice; animations are code-generated with AI assistance; all technical content is written and checked by the instructor.

The CFPE is an open-book exam, and that is the trap. Most candidates do not fail because they never read the codes. They fail because they cannot find the answer in time. This course teaches one thing: how to study for the CFPE so that, on exam day, you can go from a question to the right clause quickly and with confidence.

You will learn how the current exam is built and where its questions come from, then how each reference book is organised: NFPA 101, NFPA 1, NFPA 13, NFPA 72 and the IFSTA Plans Examiner manual. You will see how to tab your books, how to plan eight weeks of study, how to use practice tests, and how to read a question so you know which book to open before you open it.

Then the method is put to work. Three example buildings (an office, a banquet hall and a hospital bed floor) are walked through lookup by lookup: occupant load, exits, stairs and doors, travel distance, fire alarm, sprinklers, smoke compartments and fire department access. Each step names the book, the chapter and the clause, so you practise the path and not just the answer. A timed walkthrough of ten exam-style questions puts the method under the clock, with the path to each answer shown, and a one-page recap sums it up.

Every clause cited in the lectures was checked against the edition named on screen, and every lecture was reviewed and approved by the instructor before release. The lectures describe where to find each requirement in plain words. They do not reproduce NFPA text, so you will need your own copies of the reference books.

About the instructor: Hussein Ragab is a Chartered Engineer, a member of CIBSE, a member of ASHRAE and a Certified Fire Protection Specialist, with more than 14 years of mechanical and fire protection design on high-rise, hospital and mixed-use projects. He sat the CFPE exam in its current format.

This course is independent. It is not affiliated with, endorsed by or sponsored by the National Fire Protection Association (NFPA) or IFSTA. CFPE, NFPA 1, NFPA 13, NFPA 72 and NFPA 101 are trademarks of the NFPA. Always confirm requirements against the edition your exam or your authority uses.

Who this course is for
Engineers, plans examiners, inspectors and fire protection professionals preparing for the CFPE.
Candidates who know the subject but run out of time in open-book exams.
Anyone who wants a faster, more reliable way to find requirements in the NFPA codes.

https://rapidgator.net/file/7d4c513bbbbe6436f90735d9b8c7f308/How_to_Study_for_the_CFPE_Find_Any_Answer_Fast.rar.html

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• views: 46
• date: 18 October 2026
• posted by: 0nelove

Human Judgment in the Age of AI & Algorithms (2026) by Zubin Rashid
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 37m | Size: 1.42 GB

A leadership course on knowing when to trust the data, when to trust your gut, and when to do both.

What you'll learn
Identify where algorithms, scores, and AI recommendations already shape decisions on your team
Recognize automation bias and stop deferring to a tool without questioning it
Spot confirmation, anchoring, and overconfidence bias in your own decisions
Explain when human judgment outperforms an algorithm, and when it does not
Use the Trust Calibration Model to decide how much weight a recommendation deserves
Place any decision in one of four zones: Automate, Augment, Advise, or Author
Coach your team to question algorithmic recommendations with confidence and clear reasoning
Design human-in-the-loop checkpoints and ethical guardrails that keep accountability with people

Requirements
No technical, coding, or data science background is needed. Every concept is explained in plain language.
No experience with AI tools is required. If you have ever used a score, ranking, dashboard, or software recommendation at work, you already have enough context.
Any word processor, such as Microsoft Word or Google Docs, to complete the downloadable worksheets.
Optional: a real decision from your own work to practice on. If you do not have one, the examples in the course are enough.
A willingness to try the short role plays and the 30-day audit. They are where the lessons turn into habits.

Description
AI tools now score candidates, rank claims, flag risks, and recommend prices, often before a human has looked at the case. The danger is not that these tools are wrong. It is that they are right often enough that people stop asking questions, and accountability quietly moves to a dashboard nobody can explain.

This course gives leaders a practical way to stay in charge. You will learn when to trust an algorithm, when to question it, and when to override it, using a simple framework you can apply to a real decision the same day.

What you will be able to do
- Spot where algorithms already shape decisions on your team

- Recognize automation bias and the cognitive biases that distort your own judgment

- Explain when human judgment beats an algorithm, and when it does not

- Use the Trust Calibration Model to decide how much weight a recommendation deserves

- Place any decision in one of four zones: Automate, Augment, Advise, or Author

- Coach your team to question recommendations with confidence

- Design human-in-the-loop checkpoints and ethical guardrails that keep accountability with people

What is inside
Short video lessons built around real situations, from hiring and lending to retail pricing and healthcare. After each section, you practice what you learned through graded role plays, such as defending a gut call to a data-driven boss or presenting an overridden decision to your board. You also get downloadable worksheets and short readings, including sample policy language you can adapt. You finish with a 30-day judgment audit that turns the ideas into habits.

Who this course is for
Managers, senior leaders, HR and L&D professionals, and aspiring leaders in any industry. No technical background and no coding are required. If you rely on dashboards, scores, or AI recommendations to make decisions about people, money, or customers, this course is for you.

The machine advises. You decide. This course shows you how to make that true in practice.

Who this course is for
Managers and team leaders who use dashboards, scores, or AI recommendations to make decisions about people, money, or customers
Senior leaders and executives who are accountable for decisions that algorithms now help shape
HR, Talent Acquisition, and L&D professionals who use screening, scoring, or analytics tools and want to use them responsibly
Operations, finance, retail, and customer service leaders who rely on automated forecasts, pricing, or risk flags
Aspiring managers and high-potential employees who want to build sound judgment before they lead a team
Professionals in risk, compliance, and governance who need practical ways to keep a human accountable for automated decisions
This course is not for data scientists or engineers who want to build or train AI models. It focuses on how to use and oversee AI recommendations, not how to create them.

Homepage

https://rapidgator.net/file/e6318d69ba6c925d8b6f2a84aa759914/Human_Judgment_in_the_Age_of_AI_&_Algorithms.part2.rar.html
https://rapidgator.net/file/943204b5ec530518ef347eba30aefb27/Human_Judgment_in_the_Age_of_AI_&_Algorithms.part1.rar.html

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