• views: 332
• date: 4 October 2026
• posted by: 0nelove

Generative AI for Cybersecurity: ChatGPT & Codex
Published 10/2026
Created by Rafał Podraza
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 44 Lectures ( 3h 59m ) | Size: 2.6 GB

Use ChatGPT and Codex for vulnerability analysis, threat detection, incident response, secure code review and testing.

What you'll learn
⚡ Understand how AI supports cybersecurity work
⚡ Use ChatGPT for security analysis
⚡ Use Codex for secure code review
⚡ Analyze vulnerabilities with AI assistance
⚡ Review security logs and alerts
⚡ Support incident response activities
⚡ Generate security tests and scripts
⚡ Create and improve detection rules
⚡ Identify insecure coding patterns
⚡ Apply Human-in-the-Loop validation

Requirements
❗ Basic understanding of cybersecurity concepts
❗ No previous AI experience required
❗ Curiosity and interest in practical cybersecurity

Description
This course contains the use of artificial intelligence.

Generative AI for Cybersecurity: ChatGPT & Codex

Learn how to use Generative AI, ChatGPT, and Codex to analyze vulnerabilities, investigate security events, respond to incidents, and improve secure code.
Welcome to"Generative AI for Cybersecurity: ChatGPT & Codex" – a practical, hands-on course for cybersecurity professionals, developers, QA engineers, and IT specialists who want to understand how AI can support modern security workflows.

In this course, you'll discover howChatGPT and Codex can assist with vulnerability analysis, security log investigation, threat detection, incident response, secure code review, security testing, and automation.

Instead of working only with theory, you will useBookStay, a realistic security training application with users, bookings, APIs, security logs, alerts, incidents, detection rules, and controlled attack simulations.

No unnecessary theory overload – the focus is onrealistic security scenarios, practical prompts, code analysis, and hands-on workflows that you can reuse in your own work.

What You'll Learn
✨ How Generative AI can support SOC, AppSec, and Incident Response teams

✨ How to use ChatGPT and Codex effectively in cybersecurity workflows

✨ How to perform AI-assisted vulnerability analysis

✨ How to identify Broken Access Control, IDOR, Mass Assignment, and sensitive data exposure

✨ How to analyze security logs and suspicious authentication activity

✨ How to detect brute-force attempts, booking enumeration, and unauthorized access patterns

✨ How to classify and prioritize security alerts

✨ How to extract Indicators of Compromise and prepare investigation summaries

✨ How to investigate a simulated account takeover incident

✨ How to determine incident scope and business impact

✨ How to prepare containment, remediation, and root cause analysis

✨ How to create a professional post-incident report with AI assistance

✨ How to generate security log analysis scripts with Codex

✨ How to create AI-assisted detection rules

✨ How to perform secure code reviews and generate security regression tests

✨ How to refactor insecure code and validate security fixes

✨ How to protect sensitive data when working with AI

✨ How to recognize AI hallucinations, prompt injection, and AI-agent risks

✨ How to apply Human-in-the-Loop principles in cybersecurity

Hands-On BookStay Security Lab
Throughout the course, you will work with theBookStay Security Lab, where you will

✨ Analyze vulnerable API endpoints

✨ Investigate authentication and authorization problems

✨ Generate controlled security events

✨ Analyze logs with ChatGPT

✨ Investigate alerts and incidents

✨ Simulate an account takeover

✨ Perform root cause analysis

✨ Create containment and remediation plans

✨ Build detection rules

✨ Generate security tests with Codex

✨ Refactor insecure code

✨ Validate security fixes

Practical Exercises
The course also includes practical exercises where you will apply the techniques independently.

You will analyze security evidence, work with suspicious activity, review code, and make decisions based on the available data.

You will also complete anAI Security Analyst role-play, where you investigate a suspected account takeover and prepare a concise security briefing.

At the end of the course, you will complete atheoretical final exam to verify your understanding of the most important concepts.

Who this course is for
⭐ Cybersecurity professionals
⭐ SOC analysts
⭐ Anyone interested in AI-assisted security workflows

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• views: 216
• date: 4 October 2026
• posted by: 0nelove

SAP BTP Development Masterclass for Developers
Published 10/2026
Created by Alok Kumar
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 26 Lectures ( 19h 4m ) | Size: 13.3 GB

Master SAP BTP with RAP, CDS Views, AMDP, and transactional app development using modern cloud-based ABAP techniques.

What you'll learn
⚡ Build and deploy SAP RAP-based applications on SAP BTP using CDS and OData.
⚡ Create transactional and draft-enabled apps using managed and unmanaged RAP.
⚡ Implement validations, determinations, and dynamic features in RAP BOs.
⚡ Develop ABAP CDS Views, AMDP logic, and integrate them into BTP projects.
⚡ Understand SAP BTP architecture, services, environments, and development models.
⚡ Set up SAP BTP accounts, subaccounts, spaces, and development tools.
⚡ Build RAP-based applications using CDS, OData, and ABAP on BTP.
⚡ Design CDS-based data models with associations, annotations, and extensions.
⚡ Create managed transactional applications using RAP framework.
⚡ Develop unmanaged RAP applications with custom data access logic.
⚡ Implement draft-enabled transactional applications for better UX.
⚡ Define business objects and behavior definitions in RAP.
⚡ Implement validations, determinations, actions, and messages in RAP BOs.
⚡ Control authorizations and security in RAP applications.
⚡ Handle concurrency control and locking in transactional apps.
⚡ Use EML to access and manipulate RAP business objects.
⚡ Enable value help and input validations in transactional UIs.
⚡ Build composite business objects using RAP compositions.
⚡ Develop OData UI services and integrate them with SAP Fiori apps.
⚡ Implement ABAP CDS views for analytical and transactional use cases.
⚡ Use AMDP for complex data processing and performance optimization.
⚡ Develop scalable cloud-ready ABAP applications on SAP BTP.
⚡ Manage BTP administration basics for ABAP environment.

Requirements
❗ Basic understanding of SAP ABAP programming and data modeling.
❗ Familiarity with SAP HANA or database concepts is helpful.
❗ Knowledge of OData services or SAP development tools like ADT.
❗ Access to SAP BTP ABAP environment for hands-on practice.
❗ No prior experience in RAP required-concepts start from fundamentals.
❗ Understanding of database concepts and SQL basics.
❗ Experience using Eclipse or ABAP Development Tools is an advantage.
❗ Awareness of OData or REST concepts is beneficial but not mandatory.
❗ Interest in cloud-native SAP application development.

Description
TheSAP BTP Development Training program is designed to equip developers with the complete skillset required to build, extend, and modernize SAP applications using SAP Business Technology Platform. This course provides deep, hands-on exposure to theABAP RESTful Application Programming Model (RAP), covering concepts, architecture, and the full development lifecycle of cloud-ready enterprise applications. You begin by learning how to design CDS-based data models and define OData UI services that form the foundation of RAP applications .

A major focus of the training is understanding and buildingRAP Business Objects (RAP BOs). You will learn how to define behaviors, use the Entity Manipulation Language (EML), implement concurrency control, authority checks, actions, and messages. The course also covers managed scenarios where you configure input fields, validations, determinations, and dynamic feature control for robust transactional processing .

You will then move intodraft-enabled development, learning how drafts work and how to build draft-based transactional applications. The course extends into composite business objects, compositions within OData UI services, and behavior implementation for complex RAP structures. For scenarios requiring backend-driven logic, you will work withunmanaged transactional applications and understand how to implement custom data access .

In addition, the course includes dedicated coverage ofABAP CDS views (associations, extensions, annotations) andAMDP development, including class differences, SQLScript consumption, and AMDP-based logic execution. You will also gain exposure to essential BTP administration tasks, rounding out your readiness for real enterprise deployments.

By the end of this course, you will be able to design, build, deploy, and optimize full-scale applications on SAP BTP using RAP, CDS, AMDP, and modern ABAP development best practices.

Who this course is for
⭐ SAP ABAP developers aiming to upskill in RAP and SAP BTP cloud development.
⭐ Technical consultants exploring modern ABAP and cloud-native practices.
⭐ SAP professionals transitioning from on-premise ECC to S/4HANA and BTP.
⭐ Developers interested in creating transactional and analytical SAP apps.
⭐ Beginners seeking to start a career in SAP cloud and ABAP development.
⭐ Developers transitioning from ECC to S/4HANA and BTP platforms.
⭐ SAP technical consultants working on modern SAP implementations.
⭐ Professionals aiming to master RAP and cloud-based ABAP development.
⭐ SAP developers interested in building transactional cloud applications.
⭐ Technical architects designing SAP BTP extension solutions.
⭐ SAP professionals moving from on-premise to cloud development models.
⭐ ABAP developers seeking hands-on RAP and CDS experience.
⭐ Developers working on side-by-side extensions for S/4HANA.

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• views: 172
• date: 4 October 2026
• posted by: 0nelove

SQL Server 2025 Database Administration Essential Training
Published 10/2026
Created by Emar Morrison
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 50 Lectures ( 4h 49m ) | Size: 4 GB

SQL Server 2025 Database Administration

What you'll learn
⚡ Individuals seeking to build a strong foundation in SQL Server 2025 administration and progress into a DBA role.
⚡ Existing DBAs who want to update their skills to align with the latest SQL Server
⚡ IT professionals responsible for server, storage, or cloud infrastructure who manage or support SQL Server environments.
⚡ Professionals supporting SQL Server–backed applications who need to troubleshoot performance, availability, and data issues.
⚡ Software developers with SQL experience who want to expand into database administration and operations.

Requirements
❗ SQL Server Database Administration

Description
This course contains the use of artificial intelligence.

Welcome to theSQL Server 2025 course!

I'm excited to have you join us as we explore the world ofMicrosoft SQL Server administration, security, performance, backup, recovery, high availability, and modern AI capabilities.

Throughout this course, you will gain practical, hands-on experience working with SQL Server 2025 and develop the skills needed to manage and support modern production database environments.

We will cover topics including

✨ SQL Server architecture and database administration

✨ Database backup and recovery strategies

✨ Security and encryption

✨ Performance monitoring and optimization

✨ Indexing and database maintenance

✨ Extended Events

✨ High availability and disaster recovery

✨ Database mirroring and other availability technologies

✨ Partitioning and data management

✨ Practical DBA troubleshooting and administration

✨Introduction to SQL Server AI features and AI-assisted database capabilities

A key part of this course will be our introduction toAI in SQL Server. We will explore how AI can complement traditional DBA skills and support the way we work with data.

My goal is not only for you to understand the concepts, but also toapply them in real-world SQL Server environments.

Come prepared to learn, practice, ask questions, troubleshoot problems, and explore howSQL Server 2025 and AI are shaping the future of database administration.

Welcome to the course, and let's get started!

Who this course is for
⭐ Basic understanding of: Relational database concepts & SQL fundamentals
⭐ Prior SQL Server experience is helpful but not required
⭐ Familiarity with: Windows Server environments & Basic networking concepts

Homepage

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• views: 166
• date: 4 October 2026
• posted by: 0nelove

The AI Cybersecurity Brief
Published 10/2026
By Omar Santos
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 1h 10m | Size: 2.2 GB

Expert analysis of the latest AI breakthroughs and the cybersecurity realities they create

Overview
The AI Cybersecurity Brief is a timely, practitioner-focused video series at one of the most consequential intersections in technology today: artificial intelligence and cybersecurity. For years, security professionals have warned that AI would change both offense and defense. That future is no longer theoretical.

Autonomous agents operate at machine speed
Frontier models are reaching new levels each day
Defenders increasingly rely on AI for detection and forensics
Safety guardrails can block the very analysis incident responders need
Dataset pipelines, sandboxes, model registries, and agent orchestration layers have become new attack surfaces
The questions are no longer if AI will reshape cyber risk, but how, how fast, and what we do now.

Hosted by Omar Santos, best-selling author and AI and cybersecurity expert, this monthly series delivers clear, authoritative analysis of the developments that matter. Episodes connect technical detail to executive relevance: what happened, why it matters, who should care, and what actions organizations should consider.

Skill Level: Beginner to Advanced

Learn How To
Understand the latest innovations in the world of AI
Assess AI breakthroughs through a cyber risk lens
Break down and learn from AI-driven security incidents
Use AI more effectively in all cybersecurity domains

Course Requirement: None

Who Should Take This Course
Cybersecurity practitioners
SOC analysts
Security engineers
Penetration testers
Incident responders
Software engineers
DevSecOps professionals
Security leaders

Table of Contents
Episode 1: Insights from the OpenAI and Hugging Face Incident

Screenshot

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• views: 188
• date: 3 October 2026
• posted by: 0nelove

Captures unprecedented behaviors, examine continental forces, and highlight life's adaptations. Features National Geographic Explorers and scientists working to understand and protect Africa's wildlife.


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MKV | AC3 / dolby digital plus | 7EP [8.3 GB]

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• views: 87
• date: 3 October 2026
• posted by: 0nelove

4 Games in 1 Hour with MIT App Inventor
Published 10/2026
Created by Souroabh Dubey
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 6 Lectures ( 2h 5m ) | Size: 1.7 GB

Build 4 Fun Android Games Without Coding | Learn Game Design, Logic, UI & App Inventor

What you'll learn
⚡ Learn a valuable skill: MIT App Inventor course can teach you how to create functional, user-friendly apps, opening new career opportunities.
⚡ Develop your creativity: A MIT App Inventor course allows you to experiment with different app ideas, turning your creativity into reality.
⚡ Access to resources: A MIT App Inventor course provides access to a large community of users who share their knowledge and resources.
⚡ Hands-on learning: A MIT App Inventor course offers practical learning that allows you to apply what you learn to real-world apps.
⚡ Flexibility and convenience: A MIT App Inventor course can be taken online, providing a cost-effective way to learn and fit into any schedule.

Requirements
❗ There are typically no specific requirements or prerequisites for taking a MIT App Inventor course. However, some basic computer literacy and familiarity with using a smartphone or tablet may be helpful. It is also recommended that students have an interest in app development and a willingness to learn new skills. Some courses may require access to a computer or mobile device with an internet connection, as well as the MIT App Inventor software. It is always a good idea to review the course description and requirements before enrolling to ensure that you meet any specific prerequisites.

Description
Learn how to build4 fun and interactive Android games using MIT App Inventor, even if you have little or no previous programming experience.

In this practical, project-based course, you will learn by building games from scratch rather than simply watching theory. You will work with MIT App Inventor's visual programming environment to create complete game projects, understand how the different components work together, and learn how to use blocks to control game behavior and user interactions.

The goal of this course is simple:build 4 different games in approximately 1 hour while learning the fundamentals of Android game development with MIT App Inventor.

MIT App Inventor is a beginner-friendly platform that allows you to create Android applications using a visual block-based programming system. It is an excellent way to understand programming concepts, app development, user interface design, events, variables, conditions, and game logic without needing to start with traditional text-based programming languages.

Throughout the course, you will follow step-by-step demonstrations and build the projects along with the instructor.

By the end of the course, you will have built4 Android game projects using MIT App Inventor and gained hands-on experience with visual programming and game development.

You will understand how to create interactive user interfaces, work with MIT App Inventor components, use blocks to implement game logic, handle user interactions, manage variables and conditions, work with timers and game objects, implement scoring and other gameplay features, and test your applications.

Who this course is for
⭐ A MIT App Inventor course is suitable for a wide range of learners, including: Students who are interested in learning how to create mobile apps. Professionals who want to develop skills in app development to enhance their career. Entrepreneurs who want to create and launch their own apps. Educators who want to incorporate app development into their teaching curriculum. Anyone who has a passion for technology and wants to learn a new skill. Whether you are a beginner or have some experience in app development, a MIT App Inventor course can help you learn how to create functional, user-friendly apps that can be used on a variety of devices.

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• views: 79
• date: 3 October 2026
• posted by: 0nelove

CISPR 14-1:2016 Practical EMC , Measurement & Compliance
Published 10/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 8m | Size: 11.71 GB

Master EMC Emission Testing Methods, Measurement Techniques, Test Arrangements with compliance

What you'll learn
Understand the scope and application of CISPR 14-1:2016 for household appliances, electric tools, and similar equipment.
Identify and classify Equipment Under Test (EUT) based on equipment type, power source, and operating conditions.
Understand conducted disturbance testing, including measurement principles and Quasi-Peak and Average detector limits.
Explain disturbance power and radiated emission testing methods, including frequency ranges, measurement arrangements, and applicable limits.

Requirements
This course is suitable for engineering students, fresh graduates, electrical and electronics engineers, EMC laboratory technicians, quality professionals, and anyone interested in learning CISPR 14-1:2016.

Description
"This course contains the use of artificial intelligence."

Welcome to the comprehensive training course onCISPR 14-1:2016 – Electromagnetic Compatibility (EMC) – Requirements for Household Appliances, Electric Tools and Similar Apparatus – Part 1: Emission.

This course is designed to help students, engineers, technicians, EMC professionals, and product compliance personnel understand the principles, measurement methods, test arrangements, and emission requirements associated with CISPR 14-1:2016.

Electromagnetic compatibility is an important consideration in the design, testing, and certification of electrical and electronic products. Household appliances, electric tools, and similar equipment can generate electromagnetic disturbances that may affect the operation of other equipment. Understanding emission testing methods is therefore essential for product development, laboratory testing, and compliance evaluation.

Throughout this course, we will explore the important technical concepts associated with EMC emission testing in a structured and easy-to-understand manner.

You will learn about conducted disturbance measurements, radiated disturbance measurements, disturbance power measurement, and click measurement. The course also introduces important test arrangements, measurement equipment, EUT positioning, cable configurations, and the interpretation of measurement results.

Special attention is given to understanding the purpose of different measurement methods and how they are applied during EMC testing of household appliances and electric tools.

What You Will Learn

By completing this course, you will develop an understanding of the scope and application of CISPR 14-1:2016, equipment classification, conducted emission testing, Quasi-Peak and Average measurements, disturbance power measurement, radiated disturbance testing, and click measurement concepts.

You will also become familiar with important EMC test equipment and accessories, including Artificial Mains Networks (AMN), Artificial Hand, Absorbing Clamp, and Common Mode Absorption Devices (CMAD), as covered in the course.

The training explains test setups, EUT arrangements, measurement procedures, and the significance of technical parameters used in emission compliance evaluation.

Who Should Take This Course?

This course is suitable for electrical and electronics engineers, EMC test engineers, laboratory technicians, quality assurance professionals, product development engineers, certification professionals, engineering students, fresh graduates, and anyone interested in learning EMC emission testing.

It is also useful for professionals who want to strengthen their understanding of CISPR 14-1:2016 and become more familiar with the testing and compliance evaluation process.

Prerequisites

Basic knowledge of electrical and electronics engineering is helpful, but prior experience in EMC testing is not mandatory.

The course is structured to support beginners as well as working professionals who want to improve their technical understanding.

Start Learning Today

If you want to build your knowledge of EMC emission testing and understand how CISPR 14-1:2016 is applied to household appliances and electric tools, this course will provide a structured learning experience.

Enroll today and take the next step toward strengthening your technical knowledge in EMC testing, product evaluation, and compliance engineering.

Thank you for joining this course. I look forward to being part of your learning journey!
Who this course is for
Whether you are a beginner, engineering student, technician, or working professional, this course will help you develop a structured understanding of CISPR 14-1:2016 and its application in EMC emission testing. Join this course to strengthen your technical knowledge and build a foundation for your professional journey in EMC testing and compliance.

Homepage

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• views: 126
• date: 3 October 2026
• posted by: 0nelove

CISPR 14-2: Complete Guide to EM Immunity Testing
Published 10/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 22m | Size: 8.24 GB

Master CISPR 14-2 requirements, EMC immunity test methods, laboratory procedures, performance criteria, and compliance

What you'll learn
Understand the scope, objectives, and applicability of CISPR 14-2 for electromagnetic compatibility (EMC) immunity requirement applicable to household appliance
Identify and interpret the applicable immunity test requirements, performance criteria, and compliance principles specified in CISPR 14-2.
Understand and perform electrostatic discharge (ESD), radiated electromagnetic field, electrical fast transient (EFT), surge, conducted RF, and voltage dip and
Learn the fundamentals of EMC immunity test setup, instrumentation, test configurations, calibration, and laboratory measurement practices.

Requirements
No prior experience in EMC testing or CISPR standards is mandatory. This course is designed for beginners, students, engineers, and professionals who want to develop their knowledge of electromagnetic compatibility (EMC) immunity testing.

Description
"This course contains the use of artificial intelligence."

Welcome to the comprehensive course onCISPR 14-2: Electromagnetic Compatibility (EMC) – Immunity Requirements for Household Appliances, Electric Tools and Similar Apparatus.

This course is designed to provide learners with a structured understanding of EMC immunity principles, applicable test requirements, laboratory test methods, performance criteria, and compliance assessment according to CISPR 14-2.

Electromagnetic immunity is an essential aspect of product reliability, ensuring that electrical and electronic appliances can operate as intended when exposed to electromagnetic disturbances. Understanding these requirements is important for engineers, EMC testing professionals, product designers, quality assurance teams, and laboratory personnel involved in product development, testing, and certification.

Throughout this course, learners will explore the fundamentals of electromagnetic compatibility, immunity test principles, test equipment, laboratory configurations, test procedures, result evaluation, and technical documentation.

What You Will Learn

- Introduction to EMC and the scope of CISPR 14-2.

- Understanding immunity requirements for household appliances and electric tools.

- Classification of electromagnetic disturbances and immunity test principles.

- Electrostatic Discharge (ESD) immunity testing.

- Radiated Radio Frequency (RF) electromagnetic field immunity testing.

- Electrical Fast Transient/Burst (EFT) immunity testing.

- Surge immunity testing.

- Conducted RF immunity testing.

- Voltage dips, short interruptions, and voltage variation testing.

- Understanding performance criteria and equipment behavior during testing.

- EMC laboratory test setup, instrumentation, and measurement practices.

- Test result interpretation, troubleshooting, and compliance evaluation.

- Preparation of EMC immunity test reports and technical documentation.

Who Should Enroll?

This course is suitable for electrical and electronics engineers, EMC/EMI test engineers, laboratory professionals, product design engineers, quality assurance engineers, compliance engineers, engineering students, research scholars, and professionals working in electrical appliance manufacturing and product certification.

It is also valuable for beginners who want to establish a strong foundation in EMC immunity testing and understand how CISPR 14-2 requirements are applied in practical laboratory environments.

Course Benefits

By completing this course, learners will develop a systematic understanding of CISPR 14-2 immunity testing concepts, test methodologies, laboratory practices, performance assessment, and compliance documentation. The knowledge gained can support professional development in EMC testing, product validation, quality assurance, and regulatory compliance activities.

No prior expertise in CISPR 14-2 is required. A basic understanding of electrical and electronic engineering is helpful but not mandatory.

Join this course and strengthen your technical knowledge of EMC immunity testing, product performance evaluation, and CISPR 14-2 compliance practices.
Who this course is for
The course is suitable for professionals working in EMC testing laboratories, manufacturing industries, product certification organizations, and research and development departments who wish to strengthen their practical understanding of EMC immunity testing. No prior expertise in CISPR 14-2 is required. Anyone interested in learning EMC immunity testing fundamentals and their application to household appliances and similar equipment is welcome to join.

Homepage

https://www.udemy.com/course/cispr-14-2-complete-guide-to-em-immunity-testing/

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• views: 252
• date: 3 October 2026
• posted by: 0nelove

Electromagnetic Compatibility in Power Systems CISPR TR 18-1
Published 10/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 52m| Size: 13.33 GB

Learn the Fundamentals of Radio Interference, Corona Phenomena, and CISPR TR 18-1:2017 for Electrical Engineers.

What you'll learn
Understand the fundamentals of radio noise and electromagnetic interference associated with high-voltage overhead transmission lines.
Explain the relationship between corona phenomena and radio noise generation in high-voltage AC and DC power systems.
Identify the major factors influencing radio noise levels, including transmission-line voltage, conductor configuration, weather conditions, measurement distanc
Understand radio noise measurement principles and attenuation characteristics discussed in CISPR TR 18-1:2017.

Requirements
No prior knowledge of CISPR standards or radio noise measurement is required. No specialized laboratory equipment, testing instruments, or engineering software is necessary. The course introduces the technical concepts progressively, making it suitable for beginners as well as working professionals who wish to strengthen their knowledge. Whether you are a student, graduate engineer, or experienced electrical professional, you are welcome to join this course and begin your learning journey.

Description
"This course contains the use of artificial intelligence."

Radio noise generated by overhead power lines is an important topic in electromagnetic compatibility (EMC) and high-voltage power engineering. Understanding its sources, characteristics, measurement principles, and technical background is essential for electrical engineers, power system professionals, and anyone interested in electromagnetic interference associated with transmission lines.

This course introduces the engineering foundations ofCISPR TR 18-1:2017 – Radio Noise from Overhead Power Lines, with a focus on the technical research, concepts, and developments that form the background of this subject.

Throughout the course, you will explore how radio noise is associated with overhead power lines, the role of corona discharge, and the influence of operating conditions and transmission system characteristics. The course also introduces the technical considerations associated with AC and DC transmission systems, measurement concepts, attenuation, and the interpretation of engineering research.

You will examine the progression of technical literature, historical research findings, voltage-related considerations, and the development of calculation methods and industry practices referenced in the course material. These topics will help you understand how research contributes to the engineering assessment of radio noise from overhead lines.

What You Will Learn

By the end of this course, you will be able to understand the fundamentals of radio noise from overhead power lines, explain the relationship between corona and electromagnetic interference, identify important factors affecting radio noise, understand measurement and attenuation concepts, and recognize the technical background of CISPR TR 18-1:2017.

The course also provides an introduction to the relevance of radio noise in power transmission engineering and electromagnetic compatibility.

Who Should Enroll?

This course is intended for electrical engineering students, graduate engineers, power system engineers, high-voltage engineers, transmission and distribution professionals, testing and laboratory engineers, utility personnel, researchers, and professionals interested in EMC and power system standards.

A basic understanding of electrical engineering is helpful, but prior experience with CISPR standards is not required.

Why Take This Course?

Rather than simply presenting technical terminology, this course aims to build a clear understanding of the engineering concepts and research background behind radio noise from overhead power lines.

Whether you are a student building your technical foundation or a working professional expanding your knowledge of power system electromagnetic compatibility, this course will help you develop a structured understanding of the subject.

Enroll now and begin exploring the engineering foundations of radio noise from overhead power lines and CISPR TR 18-1:2017.
Who this course is for
This course is suitable for both beginners and working professionals. Prior experience with CISPR standards or radio noise testing is not mandatory. If you are interested in electrical engineering, high-voltage power systems, electromagnetic compatibility, or technical standards, this course is for you!

Homepage

https://www.udemy.com/course/electromagnetic-compatibility-in-power-systems-cispr-tr-18-1/

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• views: 129
• date: 3 October 2026
• posted by: 0nelove

Production RAG with LangChain: Beginner to Advanced
Published 10/2026
Created by HeadEasy Labs
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 25 Lectures ( 4h 59m ) | Size: 3.3 GB

End-to-end production pipelines using LangChain, Vector Databases, Advanced Retrievers, and Re-ranking strategies

What you'll learn
⚡ Advanced RAG
⚡ Generate vector embeddings and manage vector database stores
⚡ Deploy similarity-based, threshold-based, and advanced retrievers
⚡ Connect your RAG pipelines to interactive frontend applications

Requirements
❗ Basic proficiency in Python programming.

Description
Welcome toProduction RAG with LangChain: Beginner to Advanced, your step-by-step masterclass for building high-performance, real-world AI applications powered by Retrieval-Augmented Generation (RAG).

LLMs are powerful, but they often struggle with hallucination, context limits, and accessing private data. This course equips you with the tools to solve these challenges usingLangChain—the industry-standard framework for building context-aware AI systems.

What You Will Learn

✨RAG Fundamentals: Understand what RAG is, why it is critical for enterprise LLM apps, and how the core architecture components interact.

✨Document Processing & Chunking Strategies: Solve the "context window" and "lost in the middle" problems using document loaders, custom text splitters, and optimal chunking strategies.

✨Vector Databases & Vector Search: Master vector embeddings, vector databases, and the underlying mechanics of vector search algorithms.

✨Advanced Retrieval Techniques: Move beyond basic keyword searches with similarity-based retrievers, threshold-based retrievers, and custom advanced retrieval workflows.

✨Re-Ranking for Accuracy: Implement advanced re-ranking strategies to ensure your model always gets the most relevant context.

✨Full-Stack End-to-End Hands-On Project: Build a complete RAG system from scratch—from document loading, chunking, and vector database initialization, to setting up advanced retrieval, context preparation, and constructing a frontend UI.

What You'll Learn (Key Takeaways)

✨ Build end-to-end production-ready RAG applications using LangChain.

✨ Implement document loading, text splitting, and custom chunking strategies.

✨ Generate vector embeddings and manage vector database stores.

✨ Deploy similarity-based, threshold-based, and advanced retrievers.

✨ Apply re-ranking techniques to optimize context precision and reduce LLM hallucinations.

✨ Connect your RAG pipelines to interactive frontend applications.

Prerequisites / Requirements

✨ Basic proficiency in Python programming.

✨ Familiarity with general AI/LLM concepts is helpful, but no prior experience with RAG or LangChain is required.

Who this course is for
⭐ Software Engineers & Developers looking to specialize in Generative AI systems.
⭐ Data Scientists & AI Practitioners wanting to build robust, retrieval-grounded LLM workflows
⭐ Tech Enthusiasts & Students eager to transition from beginner AI concepts to advanced, production-grade applications

Homepage

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• views: 119
• date: 3 October 2026
• posted by: 0nelove

Troubleshooting Hardware and Devices in Windows 11
Released 10/2026
By Mike Halsey
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 6m 40s | Size: 163.4 MB

IT teams often operate reactively, spending too much time firefighting instead of improving systems and processes.

IT teams often operate reactively, spending too much time firefighting instead of improving systems and processes. In this course, Troubleshooting Hardware and Devices in Windows 11, you'll gain the ability to manage and troubleshoot any type of hardware and driver problems in Windows 11. First, you'll explore what types of hardware and firmware problems can occur. Next, you'll discover how to manage devices and identify unknown hardware. Finally, you'll learn how to manage Windows 11 running on older, incompatible Windows 10 PCs. When you're finished with this course, you'll have the skills and knowledge of hardware and driver troubleshooting needed to troubleshoot and repair any type of hardware or driver problem.

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• views: 128
• date: 2 October 2026
• posted by: 0nelove

Fortinet NSE 6-FortiAnalyzer V-8.0 Administrator Training
Published 10/2026
Created by Ahmad Ali
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 68 Lectures ( 7h 20m ) | Size: 8.4 GB

Master FortiAnalyzer Administration with Hands-On Labs, Log Management, FortiGate Integration, HA, Reports, and Tshoot

What you'll learn
⚡ Describe the purpose of FortiAnalyzer
⚡ Describe the FortiAnalyzer operating modes
⚡ Describe logging in a Fortinet Security Fabric environment
⚡ Describe the FortiAnalyzer Fabric
⚡ Describe the log file workflow
⚡ Manage administrative domains (ADOMs)
⚡ Configure network settings
⚡ Configure secure administrative access
⚡ Monitor administrative events
⚡ Register and manage devices
⚡ Perform a system configuration backup
⚡ Monitor disk usage
⚡ Enable and create ADOMs
⚡ Describe Fabric connectors
⚡ Configure log redundancy and encryption
⚡ Configure log rollover and retention policies
⚡ Prepare firmware upgrade
⚡ Perform log backups
⚡ Perform initial configuration
⚡ Logs and Reports Management
⚡ Fabric Supervisor and Member configuration
⚡ Log forwarding and log management
⚡ Analytics, Archive, and real-time log views
⚡ FortiGate device registration and log forwarding

Requirements
❗ Basic understanding of networking concepts
❗ Basic knowledge of firewalls
❗ Familiarity with FortiGate and FortiOS is helpful but not mandatory.
❗ Basic experience with FortiGate firewall policies, objects, interfaces, and routing
❗ Students should have a computer capable of running a virtualization platform
❗ FortiGate Operator course

Description
Welcome to theFortinet NSE 6 – FortiAnalyzer 8.0 Administrator Training course.

This practical, hands-on course is designed for network and security professionals who want to learn how todeploy, configure, manage, monitor, and troubleshoot FortiAnalyzer 8.0 in real-world environments.

You will learn FortiAnalyzer administration from the fundamentals through advanced topics, with practical demonstrations and hands-on labs designed to strengthen your understanding and troubleshooting skills.

What You Will Learn

✨ Introduction to FortiAnalyzer 8.0 and its role in the Fortinet Security Fabric

✨ FortiAnalyzer deployment and initial configuration

✨ System settings, administrators, authentication, and access control

✨ FortiGate device registration and log forwarding

✨ ADOM creation and management

✨ FortiAnalyzer log types and log storage

✨ Analytics, Archive, and real-time log views

✨ Log searching, filtering, and analysis

✨ FortiView and security event monitoring

✨ Reports and report customization

✨ Report scheduling and automated report generation

✨ FortiAnalyzer event management

✨ Log forwarding and log management

✨ Disk usage, quotas, and storage management

✨ Backup and restore configuration

✨ FortiAnalyzer high availability (HA)

✨ Fabric Supervisor and Member configuration

✨ Monitoring FortiGate devices and log status

✨ Troubleshooting connectivity and log collection issues

✨ Practical troubleshooting and administration scenarios

Hands-On Labs
The course includes practical labs where you will work with FortiAnalyzer and FortiGate environments to perform real configuration and troubleshooting tasks.

Who Is This Course For?
This course is suitable for

✨ Network Security Engineers

✨ Security Engineers

✨ Fortinet Administrators

✨ Network Administrators

✨ SOC Analysts

✨ Security Operations teams

✨ Firewall Engineers

✨ IT professionals working with Fortinet Security Fabric

✨ Anyone preparing for Fortinet NSE 6 FortiAnalyzer Administrator-related skills

Prerequisites
Basic knowledge of networking, firewalls, and FortiGate administration is recommended. Familiarity with TCP/IP, routing, security policies, and Fortinet products will help you get the most from the course.

Why Take This Course?
This is apractical administration-focused course, not just a theoretical overview. You will follow configuration demonstrations and hands-on labs to understand how FortiAnalyzer is used for centralized logging, analysis, monitoring, reporting, and security operations.

By the end of the course, you should have a solid practical understanding ofFortiAnalyzer 8.0 administration and troubleshooting and be able to apply these skills in enterprise Fortinet environments.

Enroll now and start learning FortiAnalyzer 8.0 through practical, hands-on training.

Who this course is for
⭐ Network and Security Administrators
⭐ FortiGate Administrators
⭐ Network Engineers and Security Engineers
⭐ System and Network Security Professionals
⭐ Fortinet professionals
⭐ Fortinet partners, consultants, and technical support engineers
⭐ Students preparing for a career in network security
⭐ Anyone who wants to learn FortiAnalyzer
⭐ Network Administrators
⭐ SOC Analysts
⭐ Anyone preparing for Fortinet NSE 6 FortiAnalyzer Administrator-related skills

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• views: 96
• date: 2 October 2026
• posted by: 0nelove

SPHR Exam Prep: 115-Question Mock Exam, Trainers + Games
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 15m | Size: 5.35 GB

HRCI Senior Professional in Human Resources exam: learn US employment law and HR strategy, drill 235 practice questions

What you'll learn
Answer SPHR scenario questions from all five functional areas in 8 interactive exam trainers, with an explanation and the outline item each question tests
Sit a full 115-question mock exam on a 2 h 30 min timer and use the score report by functional area to choose what to study next
Map which US federal employment laws apply to your organization at its headcount and what each one changes in an HR strategy decision
Calculate turnover, cost per hire, HR ROI, compa-ratio and range penetration in $ with ready calculators, the way exam math questions ask
Lock in terms, formulas and US federal laws with flashcards, a memory game and a timed match game that run in any browser, on a phone too
Practice all five HRCI item types: multiple choice, multiple response, fill in the blank, drag and drop and scenarios
Build a workforce plan with a reduction checklist that covers WARN notice, and a succession plan for key roles
Handle union activity, grievances and layoffs within the NLRA, and classify exempt roles under the FLSA
Audit HR records, OSHA recordkeeping, HIPAA and HRIS access with one checklist
Score your readiness by area weight (33 / 17 / 23 / 17 / 10) against the 500 pass mark and split study hours by your gaps
Learn with Mike Pritula, HRCI representative in Eastern Europe, PHRi holder, who has worked with HRCI since 2015 and coaches HRCI candidates

Requirements
You work in HR at a professional level: HR manager, HR business partner, HR director or senior generalist
You already run hiring, performance and pay cycles and handle employee relations cases
You plan to take the SPHR exam; eligibility rules are set by HRCI, and lesson 9 gives a short overview
A modern web browser on a computer or phone for the exam trainers, study games, calculators and mock exam

Description This course contains the use of artificial intelligence

The SPHR exam gives you 115 scored questions, 2 hours 30 minutes and scenarios where every option sounds like something a good HR leader would do.

This course teaches all five functional areas and the US federal laws behind them on video, then drills them in 8 exam trainers, study games and a full 115-question mock exam.

You have years of HR behind you, so the Senior Professional in Human Resources exam looks familiar on paper. Then you read the item: a restructuring, a union campaign, a headcount that just crossed a legal threshold, and four sensible next steps. The SPHR is a practice-based exam: it tests judgment at the strategy level, US federal employment law and exam math on metrics and pay, with no partial credit. Practice question banks tell you that you picked the wrong option, rarely why the other three fail, and give you nothing to use at work the next morning. HRCI's own prep packages start at $499, and a live class costs $1,180.

After this course you read a scenario and see which outline item is really being tested. You know that Leadership and Strategy carries 33% of the exam and which area costs you the most points. You say which federal laws cover your organization at its headcount and which switch on at the next hiring wave. You defend HR plans with turnover, cost per hire and ROI in dollars, set pay against ranges and plan a reduction that meets WARN. You walk into the test center or the OnVUE session with a readiness score by area and a study plan built on your gaps, and you keep a senior HR toolkit you use every week.

The course is built and taught by Mike Pritula

- HRCI representative in Eastern Europe

- PHRi holder, working with HRCI since 2015

- Coaches HRCI certification candidates

- Founder of Pritula Academy: 170,000+ students from 185 countries and 180+ courses since 2011

The course follows the 2024 SPHR Exam Content Outline in proportion to its weights. First you spend three lessons on Leadership and Strategy: business strategy and HR metrics, risk, culture and change leadership, and US employment law for HR strategy with a headcount ladder of federal laws. Then you plan the workforce and talent acquisition, including the WARN test and the four-fifths rule. Next come two lessons on talent management: performance, succession and leadership development, then employee and labor relations under the NLRA, layoffs and offboarding. After that you work through total rewards with pay range math, the FLSA exempt test, ERISA, ACA and COBRA, and then HR information management, OSHA recordkeeping, HIPAA and HRIS. Finally you calculate your weighted readiness score and sit a full mock exam: 115 new questions in the proportions of the five areas, a 2 h 30 min timer, flags, a review screen and a score report by area.

Every lesson from 1 to 8 comes with its own interactive exam trainer: 15 scenario questions in all five HRCI item types, multiple choice, multiple response, fill in the blank, drag and drop and scenarios, with an instant explanation, the outline item it tests and a retry of missed questions. Study games for every lesson, flashcards, a memory game and a timed match game, lock in the terms, formulas and laws before you move on. Every practice question is written for this course; there are no real exam questions or dumps. Everything interactive opens in any browser, on a phone too.

This course prepares you for the US SPHR, built on US federal employment law. The international SPHRi and the GPHR are different HRCI exams, and state law such as California is outside the scope.

This is an independent course. It is not affiliated with, sponsored by or endorsed by HR Certification Institute (HRCI). SPHR and HRCI are trademarks of HR Certification Institute.

What's included

- Lifetime access to all materials

- Active instructor support in Q&A

- Udemy Certificate of Completion

- A practical assignment on your own organization in every lesson

- 8 interactive exam trainers with 120 questions and explanations

- Study games for every lesson: flashcards, memory and timed match

- A full 115-question mock exam with a 2 h 30 min timer and a score report by functional area

- A senior HR toolkit: HR metrics calculator, risk and change plan, US federal law applicability map, workforce plan with reduction checklist, succession plan, labor relations playbook, total rewards calculator, HR data and safety audit checklist and readiness scorecard

Employers look for senior HR leaders who can prove strategy with numbers and keep the company on the right side of federal law. Every month you wait is another month of guessing on scenarios while the laws you are tested on keep changing.

Enroll now and start your first lesson today.

Who this course is for
HR managers and HR business partners in US companies who are preparing for the SPHR exam
HR directors and heads of HR who want to defend HR strategy with metrics in $ and US federal law
Senior HR generalists in US-facing teams who need to know which federal law applies at which headcount
PHR holders moving up to the senior-level HRCI credential
Candidates who tried practice questions alone and want video lessons, working HR tools and a full timed mock exam

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• views: 107
• date: 2 October 2026
• posted by: 0nelove

Jev AI Crash Course: System 1 Decision Models for AI Agents
Published 10/2026
Created by Eden Marco
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 10 Lectures ( 32m ) | Size: 314.9 MB

Build ultra-low-latency AI agents with Jev & TypeSafe AI. Master decision models, tool-gating, rubrics, and triage.

What you'll learn
⚡ Learn when to use fast System One decision models vs. heavy System Two generative LLMs.
⚡ Learn TypeSafe AI's core primitives: Noul (probability), Score (rubrics), and Choice (classification).
⚡ Build ultra-low-latency (sub-100ms), cost-effective decision pipelines for real-time AI systems.
⚡ Implement agent safety guardrails and tool-gating to intercept and block risky actions in real time.
⚡ Extract deterministic, typed JSON evaluations without LLM text bloat or hallucinations.

Requirements
❗ Basic understanding of programming (Python, jаvascript, or any language interacting with REST APIs and JSON).
❗ Basic familiarity with AI concepts (prompts, LLMs, or AI agents) is helpful, but no advanced machine learning or math background is required.
❗ A computer with internet access to use the TypeSafe AI console and APIs.

Description
Traditional LLMs excel at generating creative prose and open-ended text, but relying on them for simple decisions in production can be slow, expensive, and prone to hallucinations. When your system simply needs to route a ticket, evaluate sentiment, or gate a risky tool call, you don't need a generative LLM—you need aDecision Model.

This course is your complete guide toJev AI and System 1 AI Decision Models, exploring the leading hosted and open-weights engines reshaping modern AI architectures:TypeSafe AI's Jev,OpenAI Decision APIs, and open-weights models likeKEV-1.

You will learn how to replace bloated token completions with fast, typed evaluations built for production AI decision-making.

What you will master in this course
✨System 1 vs. System 2 Architectures: Discover the hybrid pattern where fast decision models filter, route, and safeguard workflows before handing complex tasks to generative LLMs.

✨TypeSafe AI & Jev: Master Jev's core primitives—noul (calibrated probabilities), score (continuous rubrics), and choice (enum classification).

✨Open-Weights KEV-1: Learn how to run, evaluate, and deploy open-weights decision models without vendor lock-in.

✨OpenAI Decision APIs: Understand how OpenAI approaches decision tasks and compare trade-offs in latency, cost, and accuracy.

✨Autonomous AI Agent Safety & Tool Gating: Build middleware to intercept and block dangerous actions such as file deletions and system edits before autonomous agents execute them.

✨Smart Support Triage & Model Routing: Evaluate ticket urgency, sentiment, and team routing simultaneously in a parallelized API request.

Whether you are building autonomous agents, enterprise workflow automation, or real-time event processing pipelines, this course will give you practical tools to build faster, cheaper, and safer AI applications withJev and modern Decision Models.

Who this course is for
⭐ AI Engineers & Backend Developers building autonomous agents, workflow automations, or high-volume data pipelines.
⭐ Software Developers who need ultra-low-latency (sub-100ms) classifications, support ticket triage, or bug severity scoring.
⭐ Engineers building Agent Guardrails looking to reliably gate dangerous tool calls (e.g., in coding agents like Claude Code or Cursor).
⭐ Teams looking to cut AI costs by replacing expensive generative models with lightweight, sub-cent decision models for non-generative tasks.

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• views: 119
• date: 2 October 2026
• posted by: 0nelove

Using Power Automate Custom Connectors with Authenticated APIs
Released 10/2026
By Matthew Soucoup
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 7m 51s | Size: 212.2 MB

Most useful APIs require authentication, and the Power Platform standard connector library can't cover every internal or third-party endpoint your team needs to integrate with.

Most useful APIs require authentication, and the Power Platform standard connector library can't cover every internal or third-party endpoint your team needs to integrate with. In this course, Using Power Automate Custom Connectors with Authenticated APIs, you'll gain the ability to deliver organization-ready custom connectors that flows can rely on. First, you'll explore how to design a connector definition from an OpenAPI 2.0 specification, including actions, triggers, request and response schemas, and the metadata that makes it look at home in the maker portal. Next, you'll discover how to wire up both API key and OAuth 2.0 authentication using Microsoft Entra ID, and how to choose between shared and per-user authentication patterns for a given security requirement. Finally, you'll learn how to package, share, and govern your connector across environments using managed solutions, deployment pipelines, DLP policies, and the Power Platform admin center. When you're finished with this course, you'll have the skills and knowledge of Power Automate custom connectors needed to ship and maintain authenticated API integrations the rest of your organization can trust.

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• views: 110
• date: 2 October 2026
• posted by: 0nelove

Claude AI: Prompt Engineering e Produttività Professionale
Published 10/2026
Created by Alessio Ferrari
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: Italian | Duration: 48 Lectures ( 9h 20m ) | Size: 3.9 GB

Impara il metodo, non i prompt da copiare. Progetti personalizzati, agenti Cowork e automazioni senza codice.

What you'll learn
⚡ Scrivere prompt con il metodo dei 6 blocchi che producono output utilizzabili al primo o secondo tentativo, senza copiare prompt preconfezionati.
⚡ Costruire un progetto Claude personalizzato con knowledge base, istruzioni persistenti e uno stile che scrive con la tua voce.
⚡ Delegare a Claude interi task multi-step con Cowork: dalla scrittura del brief alla revisione del risultato finale.
⚡ Creare automazioni senza scrivere codice collegando Claude ai tuoi strumenti (Drive, Calendar e altri) tramite i connettori.
⚡ Applicare le tecniche avanzate: role prompting, few-shot, chain of thought, tag XML e prompt chaining per progetti complessi.
⚡ Scegliere consapevolmente tra Claude, ChatGPT, Gemini e Copilot con un benchmark personale basato sul tuo lavoro reale.

Requirements
❗ Nessuna competenza tecnica o di programmazione: il corso è pensato per chi non scrive codice.
❗ Un account Claude gratuito basta per iniziare; per i lab avanzati (Progetti, Cowork) è consigliato il piano Pro.
❗ Un computer con browser e una connessione a internet.

Description

Hai già provato Claude o ChatGPT e i risultati sono... mediocri?
Il problema non è lo strumento, e non sei tu. È il metodo. La maggior parte dei corsi ti dà liste di prompt da copiare, che smettono di funzionare al rilascio successivo del modello. Questo corso fa l'opposto: ti insegna aragionare sulla struttura di una richiesta, così ogni prompt lo costruisci da solo, per il tuo lavoro, ogni volta che ti serve.

È il principio che guida tutto il corso:Logica Prima, Memoria Poi. Prima capisci perché un prompt funziona, poi lo trasformi in template riutilizzabili. Niente da imparare a memoria, niente che invecchia.

Alla fine del corso non avrai appunti: avrai un sistema.
Lavorando nei 16 laboratori pratici costruirai, pezzo per pezzo

✨ La tualibreria personale di prompt basata sul metodo dei 6 blocchi;

✨ Unprogetto Claude su misura per il tuo ruolo, con knowledge base e istruzioni persistenti;

✨ Unostile personalizzato che fa scrivere Claude con la tua voce;

✨ Dueworkflow professionali completi, dal brief al deliverable;

✨ La tua primaautomazione senza codice, collegata ai tuoi strumenti reali;

✨ Unprotocollo di verifica anti-allucinazioni in 4 passi;

✨ Il tuoworkflow documentato in una pagina, pronto da usare dal giorno dopo.

Come funziona il corso
Quasi 8 ore di video con un rapporto pratica/teoria di circa 54/46: più della metà del tempo la passi afare, non ad ascoltare. Ogni modulo si chiude con un quiz, e 7 assegnazioni ti fanno applicare subito quello che hai imparatosul tuo lavoro reale, non su esempi giocattolo.

Il percorso copre l'intero ecosistema Claude di Anthropic: dai fondamenti (modelli, piani, come "pensa" Claude) al prompt engineering avanzato, dagli Artifacts all'analisi di documenti e dati, dai Progetti personalizzati agliagenti Cowork e aiconnettori MCP per l'automazione. Con un modulo dedicato al confronto onesto con ChatGPT, Gemini e Copilot: perché lo strumento giusto si sceglie con criteri, non per fede.

E siccome lavori con clienti e colleghi veri, un intero modulo è dedicato aqualità, privacy e GDPR: come verificare gli output prima di consegnarli e come usare l'AI in azienda senza rischi.

Questo corso fa per te se
✨ Sei un professionista, freelance o imprenditore e vuoi risultati concreti dall'AI, non demo spettacolari;

✨ Hai già provato gli strumenti AI ma gli output richiedono più correzioni del previsto;

✨ Non sai programmare e non vuoi impararlo: qui non si scrive una riga di codice;

✨ Vuoi un metodo che resta valido quando i modelli cambiano.

Non fa per te se cerchi un corso su API e sviluppo software, o una lista di 500 prompt da copiare: qui impari a scriverli meglio di quelli delle liste.

I contenuti sulle funzionalità in rapida evoluzione vengonoaggiornati periodicamente e ogni aggiornamento è incluso nel corso, per sempre.

Iscriviti ora: alla prossima riunione potresti arrivare con il lavoro già fatto.

Who this course is for
⭐ Professionisti e knowledge worker italiani (marketing, comunicazione, HR, vendite, consulenza, project management) che vogliono integrare l'AI nel lavoro quotidiano.
⭐ Freelance e imprenditori che vogliono produrre di più senza assumere o delegare all'esterno.
⭐ Chi ha già provato Claude o ChatGPT con risultati deludenti e sospetta che il problema sia il metodo.
⭐ Manager e team leader che devono capire cosa l'AI può davvero fare prima di introdurla nel team.
⭐ NON è rivolto a sviluppatori in cerca di un corso su API, SDK o Claude Code.

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• views: 68
• date: 1 October 2026
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Playful Typography for Powerful Communication in Illustrator
Dani Molyneux | Duration: 2:55 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | Size: 1,05 GB | Language: English

Learn the basics of typography to create memorable compositions that harness the power of words

Creative typography allows you to take some of life's challenges and turn them into messages of hope, action, and positivity. Graphic designer and typography artist Dani Molyneux is passionate about words and the beauty of expressing them. She has worked for leading creative agencies across the UK and is the founder of her own studio, Dotto.

In this course, she teaches you how to design your own bold, colorful, and playful typography. Create a poster featuring a message that means something to you using your own type with Dani as your guide. Explore typography and create artwork that speaks!

Begin by getting to know graphic designer and typographic artist Dani Molyneux. She talks through the creative career that led her to start her own brand, along with the influences that inspire the work she creates.

Take a look at how typography can depict a mood and choose a message for your piece with that in mind. Experiment with composition by creating your initial sketches, then set up your digital workspace in Illustrator. Discover different techniques for creating type and choosing a color palette.

Digitize your sketch, vectorize it, then use the techniques you've learned to craft your letters. Explore different color combinations for your final piece before making the finishing touches to your poster in preparation for printing.

Discover different ways to print your design, including Risograph printing. Then, to finish the course, Dani guides you through how to share your work with the world, via social media, your portfolio, and more.

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• views: 214
• date: 1 October 2026
• posted by: 0nelove

How Steel Actually Works - Steel Industry Ultimate Course
Published 9/2026
Created by Joey Guo
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 20 Lectures ( 3h 14m ) | Size: 927.6 MB

Read the steel industry the way an analyst does: the two routes, the spread, the metal margin, and the numbers behind

What you'll learn
⚡ Read an integrated mill's cost per tonne and explain why its margin is a spread
⚡ Calculate the HRC spread using 1.5 tonnes of ore and 0.71 tonnes of coal
⚡ Tell production apart from capacity utilisation and avoid misreading a volume rise
⚡ Judge a steelmaker's asset base using capex to depreciation and net debt at the trough

Requirements
❗ None - no industry experience needed. You will learn how steel industry works through the course.

Description
This course contains the use of artificial intelligence.

How Steel Actually Works is a short course for people who work in or follow finance and want to read the steel industry the way an analyst does, without having done the job. It assumes no prior banking or finance knowledge and builds the industry from the ground up, in plain language, over twenty lessons.

The course starts with what steelmakers actually sell and the two routes that make almost all of the world's steel: the integrated blast furnace and basic oxygen furnace, and the electric arc furnace. From there it works through the products, flat and long and tubular, and shows why flat and long are different businesses with different customers and different pricing. The middle of the course is about the numbers. You will learn how the HRC spread is calculated from iron ore and coking coal, why an electric arc furnace producer measures a metal margin over scrap instead, and why production and capacity utilisation are not the same measurement.

The later lessons cover the judgement calls: why return on invested capital beats return on equity in this industry, what the ratio of capital expenditure to depreciation tells you about a mill's asset base, how to read net debt through a cycle rather than at the peak, and how accounting choices distort comparisons between companies. The course closes with a direct comparison of two producers with opposite cost stacks and a review of the traps outsiders fall into.

Each lesson is a short video with slides. By the end you will be able to open a steelmaker's filings, find the inputs that matter, calculate the spread or the metal margin yourself, and explain in your own words why the same steel price produces different profitability at different companies.

Who this course is for
⭐ Finance professionals covering or lending to steel and metals companies
⭐ Equity and credit analysts who need to read steel filings properly
⭐ Students and career changers moving into metals and mining research

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• views: 167
• date: 1 October 2026
• posted by: 0nelove

Networking and Firewall Configuration in Ubuntu Linux
Released 9/2026
By Andrew Mallett
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 23m 15s | Size: 181.6 MB

Network outages and security breaches often stem from the same root cause: poorly understood configuration and missing monitoring.

Network outages and security breaches often stem from the same root cause: poorly understood configuration and missing monitoring. In this course, Networking and Firewall Configuration in Ubuntu Linux, you'll gain the ability to set up, diagnose, and defend your systems' network layer with confidence. First, you'll explore how to configure static IP addresses, manage interfaces, and resolve DNS using modern Ubuntu tools such as Netplan and systemd-resolved. Next, you'll discover how to diagnose connectivity failures by testing reachability, inspecting sockets, and capturing packets to trace problems to their source. Finally, you'll learn how to apply layered firewall rules using UFW to allow legitimate traffic while blocking threats and limiting brute-force attacks. When you're finished with this course, you'll have the skills and knowledge of Ubuntu network administration and security controls needed to maintain connectivity and protect your infrastructure.

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• views: 205
• date: 1 October 2026
• posted by: 0nelove

Cloud Optimization Strategy and Tradeoff Decisions
Released 9/2026
By Kevin James
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 5m 33s | Size: 236.3 MB

Cloud engineering and architecture teams often struggle to reduce cloud spend without accidentally compromising reliability, performance, or business value.

Cloud engineering and architecture teams often struggle to reduce cloud spend without accidentally compromising reliability, performance, or business value. In this course, Cloud Optimization Strategy and Tradeoff Decisions, you'll gain the ability to evaluate optimization trade-offs and recommend high-impact cloud cost strategies. First, you'll explore how to isolate optimization opportunities from cloud cost and usage signals. Next, you'll discover how to assess trade-offs across cost impact, operational risk, implementation effort, and performance. Finally, you'll learn how to prioritize, format, and deliver actionable optimization recommendations to resource owners. When you're finished with this course, you'll have the skills and knowledge of cloud financial operations needed to evaluate optimization trade-offs and recommend high-impact cloud cost strategies.

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• views: 190
• date: 1 October 2026
• posted by: 0nelove

Clean and Prepare Data in Google Sheets
Released 9/2026
By Mitali Gupta
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 3m 14s | Size: 517.1 MB

Raw datasets often contain missing values, duplicate records, inconsistent formatting, and other quality issues that can lead to inaccurate analysis.

Raw datasets often contain missing values, duplicate records, inconsistent formatting, and other quality issues that can lead to inaccurate analysis. In this course, Clean and Prepare Data in Google Sheets, you'll gain the ability to clean, standardize, and validate datasets for analysis. First, you'll explore how to identify common data quality issues and assess their impact on analysis. Next, you'll discover how to clean and standardize data using Google Sheets functions and built-in tools. Finally, you'll learn how to build validation checks and use Gemini to help maintain data quality. When you're finished with this course, you'll have the skills and knowledge of data cleaning in Google Sheets needed to confidently prepare analysis-ready datasets.

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• views: 271
• date: 1 October 2026
• posted by: 0nelove

Become an AI-Powered People Manager
Released 9/2026
With Ashley Herd
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: General | Genre: eLearning | Language: English + subtitle | Duration: 36m | Size: 253.9 MB

Learn how to use AI as a force multiplier to speed up day-to-day busywork, so you have more time for the judgment calls, coaching, and hard conversations only a people manager can do.

Course details
Between the AI hype and the pressure to hit team goals, it's hard to see how AI actually fits into your day-to-day work as a manager. In this course, Ashley Herd—a management expert and the creator of Manager Method—shows you how to use AI as a force multiplier: cutting through the busywork of prepping meetings, drafting messages, and turning notes into plans, so you have more time for the judgment calls, coaching, and hard conversations that only a manager can do. Explore practical ways to run meetings that produce real decisions, deliver feedback that lands, prep tailored 1:1s in under two minutes, delegate without losing control, triage team workload, and turn raw notes into exec-ready status updates or presentations. Along the way, Ashley demonstrates prompts on common AI platforms and provides a starter kit you can adapt for your own team.

Skills covered
AI for Leadership, AI for Management, Artificial Intelligence (AI), People Management

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• views: 79
• date: 1 October 2026
• posted by: 0nelove

C Programming Fundamentals: From Basics to Data Structures
Published 9/2026
Created by Abdullah Alsalal
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 2h 26m ) | Size: 1.4 GB

Learn C programming from scratch with variables, functions, control flow, arrays, pointers, and core data structures.

What you'll learn
⚡ Understand the fundamentals of C programming and program structure.
⚡ Write and use variables, expressions, operators, and formatted output
⚡ Control program flow using Boolean expressions and conditional statements.
⚡ Create and use functions to organize and reuse code effectively.

Requirements
❗ No prior programming experience is required. This course is designed for beginners and teaches the fundamentals of C programming step by step.

DescriptionC Programming Fundamentals: From Basics to Data Structures is a complete beginner-friendly course designed to take you from your first C program to core programming concepts, recursion, arrays, strings, and abstract data types.

You will begin by writing your first C program and learning how variables are created, assigned, and used. From there, you will develop a practical understanding of errors and debugging, helping you recognize problems in your code and understand how programs behave during execution.

The course then introduces functions and explains how programs can be organized into smaller reusable parts. You will explore global variables, program flow, recursion, and iteration, giving you a stronger understanding of how execution moves through a C program and how repeated operations can be controlled.

As your programming skills develop, you will study encapsulation and generalisation before moving into arrays and strings. You will learn how indexed data is accessed and manipulated, how strings are represented and processed, and how common string functions can be used in C programs.

The final part of the course introducesAbstract Data Types and Structures, showing how more advanced data can be organized and managed. You will work through practical ADT examples, including aStack and aDictionary, helping you connect fundamental C programming concepts with core data structure ideas.

By the end of the course, you will have a solid foundation in C programming, including variables, debugging, functions, scope, control flow, recursion, iteration, arrays, strings, structures, and abstract data types.

No previous programming experience is required. The course is designed for beginners, engineering students, computer science students, and anyone who wants to build a strong foundation before moving into algorithms, embedded systems, or more advanced programming.

Who this course is for
⭐ Complete beginners who want to learn C programming from the ground up
⭐ Students who want to understand programming fundamentals, logic, variables, functions, and control flow.
⭐ Engineering and technical students who want to build a strong foundation in C programming.
⭐ Anyone preparing to move into more advanced programming, data structures, algorithms, or embedded systems.

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• views: 160
• date: 1 October 2026
• posted by: 0nelove

Generative AI: From Prompts to Partnership
Released 9/2026
With Jeremy Utley
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 54m | Size: 207.3 MB

Get a practical, nontechnical introduction to generative AI: how it works, where it falls short, and how to collaborate with it as a thinking partner.

Course details
Generative AI is quickly becoming part of everyday work, shaping how people research, write, analyze information, and make decisions across roles and industries. To use these tools effectively and responsibly, professionals need a working understanding of what generative AI is, how it works, and where its strengths and limits lie. In this course, Jeremy Utley offers a practical, nontechnical introduction to generative AI that reframes it from a search-engine substitute to a thinking partner. Jeremy explains how generative AI fits within the broader landscape of artificial intelligence, how large language models generate new content, and how to collaborate with AI through prompting, context, and iteration. He also covers common limitations like bias and hallucinations, along with basic guidelines for using AI safely at work. By the end, you'll have a foundation to onboard your first digital teammate and start building lasting AI habits.

Skills covered
AI Literacy, Generative AI, Artificial Intelligence (AI)

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• views: 80
• date: 1 October 2026
• posted by: 0nelove

Facility Management Essentials : Operations &; Maintenance
Published 9/2026
Created by BIMS Brilliance Institute of Management Studies
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 122 Lectures ( 8h 31m ) | Size: 7.2 GB

Master Facility Management from Operations and Maintenance to Services and Performance Management through Key KPIs.

What you'll learn
⚡ Understand facility management operations, maintenance strategies, asset management, and day-to-day facility operations.
⚡ Apply preventive, predictive, condition-based, and cyclical maintenance methods to improve asset reliability and performance.
⚡ Manage facility services, vendors, procurement, contracts, budgets, safety, security, and emergency management effectively.
⚡ Use BMS, IoT, smart building technologies, energy management, sustainability, and facility KPIs to improve performance

Requirements
❗ No prior facility management experience is required; the course is suitable for beginners and working professionals.

Description
This course contains the use of artificial intelligence.

Facility Management Essentials: Operations, Maintenance & Services is a practical course designed to build a strong understanding of modern Facility Management and its essential functions. You will learn how to manage facility operations, maintenance, support services, assets, vendors, procurement, budgets, safety, security, and workplace environments effectively.

The course coversFacility Operations Planning, Facility Maintenance, Preventive Maintenance, Predictive Maintenance, Condition-Based Maintenance, Reliability-Centered Maintenance, Work Order Management, CMMS, CAFM, Asset Management, Total Cost of Ownership, Spare Parts Management, and Maintenance KPIs.

You will also exploreHard Services and Soft Services, including housekeeping, catering, reception, security, landscaping, pest control, waste management, transportation, and workplace space management.

The course introducesBuilding Engineering Systems, including HVAC, AHU, chillers, cooling towers, electrical systems, DG sets, UPS, plumbing, water supply, drainage, fire alarm, and life safety systems.

Learn aboutBMS, Smart Buildings, IoT Sensors, Digital Twins, Lighting Automation, Smart Metering, Energy Management, and AI-based Predictive Maintenance.

The course also coversFacility Procurement, Vendor Management, Contracts, Purchase Orders, SLAs, OPEX, CAPEX, Budgeting, Cost Control, ROI, and Payback Period.

You will develop knowledge ofFire Safety, Health and Safety, LOTO, Permit-to-Work, Emergency Management, Business Continuity, Sustainability, Carbon Footprint, ESG, Water Management, and Energy Efficiency.

Finally, learn how to measure and improve facility performance usingAsset Availability, Maintenance Backlog, MTBF, MTTR, PM Compliance, Energy Consumption/m², Energy Cost/m², Water Consumption/m², OPEX/m², SLA Compliance, Space Utilization, Carbon Emissions/m², and Waste Recycling KPIs.

This course is suitable forFacility Managers, Maintenance Managers, Engineers, Operations Managers, Building Managers, Property Managers, Supervisors, and professionals looking to develop practical Facility Management knowledge.

Who this course is for
⭐ Facility Managers, Facility Management professionals, Maintenance Managers, Engineers, Maintenance Supervisors, Operations Managers, Building Managers, Property Managers, Administration professionals, and professionals responsible for facility operations, maintenance, safety, security, and support services. The course is also suitable for beginners, students, and professionals who want to build practical knowledge of Facility Management, asset management, maintenance, BMS, smart buildings, sustainability, and facility performance management.

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• views: 146
• date: 1 October 2026
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Investing & AI Fundamentals
Published 9/2026
Created by Flavio Alfano
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 33 Lectures ( 6h 37m ) | Size: 2.6 GB

Learn Investing, Machine Learning, AI Signals, Backtesting and AI Agents Foundations

What you'll learn
⚡ Understand the fundamentals of investing
⚡ Analyze investments using fundamental and technical concepts
⚡ Understand how Artificial Intelligence and Machine Learning can be applied to financial markets
⚡ Understand and build a basic AI Agent workflow for investment analysis

Requirements
❗ No previous investing or financial market experience is required. No previous Artificial Intelligence or Machine Learning knowledge is required. Basic computer skills are sufficient; programming experience is helpful but not required.

Description
This course contains the use of artificial intelligence.

Investing & AI Fundamentals is a practical introduction to the intersection of investing, financial analysis, and Artificial Intelligence.

The course is designed for learners who want to understand not only the foundations of investing, but also how modern AI technologies can support financial analysis, research, and more structured decision-making.

This course contains the use of artificial intelligence for image generation and voice generation to allow a clear lesson understanding and flow. The Audience can increase or decrease video velocity in order to adapt at their own needs.

We begin with the fundamentals: how investing works, how financial markets operate, and how instruments such asstocks, bonds, and ETFs differ. You will then learn how to approach investment analysis using fundamental and technical perspectives, while developing a solid understanding ofrisk, diversification, correlation, volatility, drawdowns, and portfolio decisions.

From there, the course moves into Artificial Intelligence.

You will learn the differences betweenAI, Machine Learning, and Generative AI, and understand how Machine Learning learns from financial data. We explore features and targets, classification and regression, predictions and probabilities, training and testing, overfitting, and the limitations that can cause AI models to fail.

The course then connects these concepts to practical investment applications. You will learn how technical indicators and Machine Learning outputs can becomeinvestment signals, how those signals can be evaluated throughbacktesting, and why issues such as data leakage, overfitting, execution timing, transaction costs, and false confidence must be considered when evaluating historical results.

Finally, we move beyond individual models and introduceAI agents for investment analysis.

You will learn how agents combine goals, context, tools, memory, external data, rules, Machine Learning, and Generative AI into a coordinated analytical system. In the final lessons, we design an investment research agent and useClaude as the reasoning layer in a practical agent architecture—while maintaining validation, traceability, controls, and human review.

By the end of this course, you will understand how to

✨ Explain the foundations of investing and financial markets.

✨ Differentiate between stocks, bonds, ETFs, and their roles in a portfolio.

✨ Apply fundamental and technical concepts to investment analysis.

✨ Understand volatility, drawdowns, diversification, correlation, and position sizing.

✨ Distinguish AI, Machine Learning, and Generative AI.

✨ Understand how financial data becomes features, targets, predictions, and probabilities.

✨ Recognize overfitting, data leakage, and other common AI and backtesting pitfalls.

✨ Understand how AI-based investment signals can be created and evaluated.

✨ Build the conceptual pipeline behind a Machine Learning investment signal using Python.

✨ Understand the architecture of an AI agent.

✨ Combine rules, Machine Learning, and Generative AI in a hybrid analytical workflow.

✨ Understand how Claude can operate as the reasoning layer within an investment research agent.

✨ Recognize whyhuman judgment, validation, and risk controls remain essential when using AI for investment analysis.

No advanced background in finance, Machine Learning, or AI is required. The course progressively develops each concept and emphasizesunderstanding the logic behind the technology rather than treating AI as a black box.

This course is especially suitable for professionals, investors, technology enthusiasts, students, and anyone interested in understanding howfinancial knowledge and modern AI capabilities can work together.

Financial knowledge x AI capabilities x better-informed decisions.This course is for educational purposes only and does not provide financial or investment advice.

Who this course is for
⭐ Beginners who want to understand investing from the ground up, including stocks, bonds, ETFs, risk, return, diversification, and the basic principles of financial markets. Investors and finance enthusiasts who want to understand how Artificial Intelligence and Machine Learning can be applied to market analysis, financial data, investment signals, and decision support. Technology, business, and finance professionals interested in connecting traditional investment concepts with modern AI tools, without requiring advanced knowledge of finance, programming, or data science. Learners interested in AI Agents and practical applications of Generative AI in finance, including how agents can combine market data, technical indicators, fundamental information, risk analysis, and Machine Learning signals to support investment research.

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• date: 1 October 2026
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Unity Mobile Publish and Monetise Your Game
Published 9/2026
Created by GameDev.tv Team, Jonathan Holowka
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 78 Lectures ( 10h 48m ) | Size: 7 GB

Build and publish your Unity game on Android and iOS, with touch controls, ads and in-app purchases

What you'll learn
⚡ Turn your Unity game into a real mobile game that players can download and play.
⚡ Publish on Google Play and the App Store, with every step of the setup covered.
⚡ Monetise your game with in-app purchases and ads, and learn where each one fits best.
⚡ Build touch controls that feel natural, with a joystick, buttons and pinch-to-zoom.
⚡ Adapt your game to phones and tablets, and dodge the camera notch at the top.
⚡ Send local push notifications on Android and iOS to bring players back for more.
⚡ Set up consumable and non-consumable in-app purchases and test them on a device.

Requirements
❗ Basic C# knowledge
❗ Some prior experience with Unity
❗ Access to a Mac if you want to build and publish to iOS

Description
Want tosee your game running on your own phone, with players tapping an on-screen joystick, picking up in-app purchases and watching ads that reward them for it?

Push notifications, in-app purchases, ads and store setup can look like a lot at first glance. Taken one step at a time, each one is far more manageable than it seems.

You'll start with a working prototype we provide, so every lesson goes straight into mobile features. Got a game of your own on the go? Bring it along and add each feature to that instead. You'll set up touch controls and build to a real device first. Then you'll create your store presence on Google Play and App Store Connect. Store setup isn't the most glamorous part (Jonathan will tell you that himself), so he walks you through every step.

From there, you'll add an on-screen joystick, buttons and pinch controls, and adapt your layout to phones and tablets in portrait and landscape, camera notch included. You'll send local push notifications on Android and iOS, create consumable and non-consumable in-app purchases, and integrate ads mediation with interstitial ads on game over and rewarded ads players choose to watch.

Your instructor, Jonathan, has spent years building these exact features in the mobile games industry. Along the way, he shares the psychology behind purchases and ads: what to charge, where ads belong, and which dark patterns to steer clear of. And if you get stuck, our teaching assistants and Discord community are there to help.

If you've got a PC game you'd love to see on mobile, this course works just as well for porting it over. It's an intermediate course, so it stays focused on everything specific to mobile.

By the end, you'll have your game on your phone, set up on both stores, with in-app purchases and ads ready to go.

Ready to see your game in your hand? Take the leap, and let's get started.

Who this course is for
⭐ Ideal if you're a Unity developer with a game you want to take to mobile.
⭐ Also perfect if you're a dev with a PC game you'd love to see on phones and tablets.
⭐ And great if you're curious about how mobile games get published and start earning money.

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• views: 139
• date: 30 September 2026
• posted by: 0nelove

Advanced AI Chatbots: Build, Evaluate, and Deploy Agents RAG Chatbots
Released 9/2026
With Roya Kandalan
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner + Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 39m | Size: 875.8 MB

Learn how to build, measure, and deploy an advanced RAG chatbot with LangChain 1.0. Discover how to add structured citations, extend behavior with middleware, and ship it publicly.

Course details
A RAG chatbot is only useful if you can trust its answers and ship it with confidence. In this advanced course with Roya Kandalan, discover how to build and deploy a RAG chatbot that is customizable, reliable, and production-ready. Starting from a LangChain 1.0 starter project, learn how to create a chatbot with structured citations that keep responses accurate and traceable. Explore how to add middleware for logging and fallback behavior without touching your core code, then measure chatbot quality using tracing and automated metrics. Discover how to prepare your chatbot for public deployment as an accessible, adaptable tool, ready for regulated environments such as healthcare and education. By the end of this course, you'll be able to build, evaluate, extend, and deploy a RAG chatbot you can adapt for many use cases. This beginner-to-intermediate course suits developers, AI engineers, data scientists, and anyone eager to build conversational AI.

Skills covered
Retrieval-Augmented Generation (RAG), AI Agents, LangChain, Fine Tuning, Artificial Intelligence (AI)

Homepage

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• views: 230
• date: 30 September 2026
• posted by: 0nelove

TypeSafe AI: Jev Essentials - Building Decision Systems
Published 9/2026
Created by Mohammad Azam
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 22 Lectures ( 1h 49m ) | Size: 1.6 GB

Turn Unstructured Data into Structured Decisions with Jev

What you'll learn
⚡ Understand how Jev transforms unstructured data into structured, actionable decisions.
⚡ Build a real-world resume evaluator using Jev and the jаvascript SDK.
⚡ Classify and evaluate customer support messages using Python and Jev.
⚡ Process multiple records using batch evaluation for scalable decision workflows.
⚡ Build intelligent routing systems that direct requests to specialized AI profiles or assistants.

Requirements
❗ Basic programming knowledge is recommended.
❗ Familiarity with jаvascript or Python is helpful but not required.
❗ Basic understanding of APIs and JSON will be useful.
❗ No prior experience with Jev or TypeSafe AI is required.
❗ No prior machine learning or advanced AI knowledge is required.

Description
AI is great at generating text, but many real-world applications need something much more useful:structured decisions that your software can act on.

InTypeSafe AI: Jev Essentials - Building Decision Systems, you will learn how to useJev by TypeSafe AI to transform unstructured information into structured judgments that can be used directly inside your applications.

This is a practical, project-based course. Instead of spending hours on theory, you will learn Jev by building real-world applications and solving common AI decision-making problems.

We will start by exploring what Jev is, how it works, and how to obtain and configure your API key. From there, you will quickly move into hands-on projects.

Build a Resume Evaluator
You will build a complete resume evaluation application using the Jev jаvascript SDK.

You will learn how to define questions for evaluating resumes, organize and refactor your evaluation criteria, process Jev responses, map those responses into your application's UI model, and display structured results in a web application.

Classify Customer Support Messages
Next, you will use Jev to classify customer support requests.

Using Python and Google Colab, you will evaluate individual customer messages and then expand the solution to process multiple messages in batches.

This project demonstrates how unstructured customer communication can be converted into structured information that your software can categorize, organize, and act upon.

Route Requests to Specialized AI Assistants
Finally, you will exploreAI routing.

Instead of sending every request to the same model or assistant, you will learn how Jev can analyze an incoming request and help determine which specialized profile or assistant should handle it.

You will examine the request and response process using Postman and then walk through the implementation of a routing system.

What You Will Learn
By the end of this course, you will understand how to

✨ Understand the role of Jev in AI-powered applications

✨ Configure and use the Jev API

✨ Work with the Jev jаvascript SDK

✨ Define structured questions and evaluation criteria

✨ Turn unstructured data into structured judgments

✨ Build an AI-powered resume evaluator

✨ Classify customer support messages

✨ Perform batch evaluations using Python and Google Colab

✨ Use Jev for intelligent request routing

✨ Route requests to specialized AI profiles or assistants

✨ Integrate Jev results into real-world applications

Who Is This Course For?
This course is designed for developers who want to move beyond simple AI chat applications and build systems that canevaluate, classify, route, and make structured decisions from unstructured data.

You don't need to be an AI or machine learning expert. If you are comfortable with basic programming concepts and want to learn how AI can become part of your application's decision-making pipeline, this course will give you a practical starting point.

By the end of the course, you won't just understand what Jev does—you will have built multiple applications demonstrating how structured AI judgments can be used to create intelligent decision systems.

Who this course is for
⭐ Software developers who want to build intelligent decision systems using AI.
⭐ jаvascript and Python developers interested in integrating Jev into real-world applications.
⭐ AI developers who want to turn unstructured data into structured, actionable decisions.
⭐ Developers building AI-powered workflows for evaluation, classification, and intelligent routing.
⭐ Anyone interested in practical AI development without needing a machine learning or data science background.

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• views: 153
• date: 30 September 2026
• posted by: 0nelove

RAG Agents with LangChain & LangGraph: A Practical Guide
Last updated 9/2026
Created by Anton Voroniuk• 1.250.000+ Students, Anton Voroniuk Support, George Paterakis
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 11 Lectures ( 1h 49m ) | Size: 688 MB

Ground your AI agents in real dаta: build a full RAG agent in LangChain, then rebuild it as a LangGraph workflow

What you'll learn
⚡ Build a complete RAG agent in LangChain that retrieves relevant documents and generates grounded, source-based answers
⚡ Rebuild the same RAG agent as a LangGraph workflow, with retrieval as an explicit, controllable step in the graph
⚡ Understand how chunking, embeddings, retrieval, and grounding work together and how each one affects answer quality
⚡ Explain what RAG is, why LLMs need it, and when retrieval is the right fix for hallucinations and outdated knowledge
⚡ Decide where a retrieval step belongs inside an agent's reason–act–observe loop
⚡ Compare a plain LangChain RAG implementation with a graph-based design and choose the right one for your project
⚡ Explain what an AI agent is, how it makes decisions, and when a single LLM call is the better choice
⚡ Recognize the most common ways agent projects fail and apply design habits that prevent them

Requirements
❗ Working knowledge of Python (functions, classes, working with lists and dictionaries)
❗ Basic familiarity with LangChain — you should have called a chat model and ideally defined a tool at least once
❗ Some exposure to LangGraph is helpful for the final build but not required; the graph is explained step by step
❗ An API key for an LLM provider such as OpenAI or Anthropic, plus access to an embedding model (free tiers are enough)
❗ A computer with Python 3.10+ and a code editor installed

Description
Ask an LLM about a document written yesterday and you get a confident, detailed, wrong answer. The model only knows what it saw in training. Retrieval-Augmented Generation fixes this by letting the agent look things up before it responds, and this course teaches you to build a RAG agent that answers from your own data.

What you will learn
✨ Explain what RAG is, why LLMs need it, and when retrieval is the right fix for hallucinations and outdated knowledge

✨ Understand how chunking, embeddings, retrieval, and grounding work together and how each affects answer quality

✨ Build a complete RAG agent in LangChain, from loading documents to a source-based answer

✨ Rebuild the same agent as a LangGraph workflow, with retrieval as an explicit, controllable step

✨ Choose between a plain LangChain implementation and a graph-based design for your own project

Inside the course
After a short grounding in agent fundamentals, the course explains the full RAG pipeline in plain terms before any code is written. Then come two hands-on builds: the same RAG agent first in LangChain, then rebuilt in LangGraph. Building it twice is deliberate: you will understand both implementations well enough to pick the right one for your needs. Written references close each section.

Who this course is for
⭐ Python developers who want their agent to answer from their own documents instead of guessing
⭐ AI engineers building assistants that need current, verifiable knowledge rather than what the model memorized in training
⭐ Developers who have built a basic "chat with your PDF" demo and want to understand what's actually happening under the hood
⭐ Backend engineers who need to ground LLM output in internal data such as docs, tickets, or knowledge bases
⭐ Anyone who wants a short, practical introduction to RAG before committing to a longer, broader course

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