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Fundamental Analysis: Value Stocks Like a Pro
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 29m | Size: 4.41 GB

Learn to read financial statements, calculate real valuation ratios, and value businesses like a professional investor.

What you'll learn
How to read and connect the income statement, balance sheet, and cash flow statement
How to calculate margins, ROE, ROA, and decompose returns using DuPont analysis
How to apply P/E, PEG, EV/EBITDA, DCF, and comparable company analysis
How to assess liquidity, solvency, and bankruptcy risk using real financial ratios
How to identify economic moats, evaluate management quality, and assess industry structure using Porter's Five Forces
How to apply value investing, growth investing, and margin-of-safety principles
How to build a stock screener and avoid common fundamental analysis mistakes
How Indian and global mutual fund/equity taxation and cost structures affect real returns
How to produce a complete, real valuation of an actual company from start to finish

Requirements
No prior accounting or finance experience required
Basic comfort with simple percentages and arithmetic
Access to a company's public financial filings (this course shows you exactly where to find them, for free)

Description
Anyone can look up a stock price. Almost no one knows how to tell whether that price actually makes sense.

Fundamental Analysis: Value Stocks Like a Pro teaches you how to evaluate a business the way professional investors do — by reading its financial statements, calculating real valuation ratios, assessing its competitive advantage, and estimating what it's actually worth.

You'll learn to read the income statement, balance sheet, and cash flow statement with genuine confidence. You'll calculate and interpret profitability ratios (margins, ROE, ROA), valuation ratios (P/E, PEG, EV/EBITDA), and run your own simplified DCF valuation. You'll learn to spot economic moats, evaluate management quality, and assess balance sheet risk before you ever put money in. And you'll finish by producing a complete, real valuation of an actual public company — your own, from scratch.

Every lecture is built around real numbers, worked examples, and case studies — not vague theory. This is the exact skill set behind value investing as practiced by investors like Benjamin Graham and Warren Buffett, broken down into a clear, learnable process.

This course is not financial advice — it's financial education designed to make you a more independent, analytically capable investor.

What You'll Learn

- How to read and connect the income statement, balance sheet, and cash flow statement

- How to calculate margins, ROE, ROA, and decompose returns using DuPont analysis

- How to apply P/E, PEG, EV/EBITDA, DCF, and comparable company analysis

- How to assess liquidity, solvency, and bankruptcy risk using real financial ratios

- How to identify economic moats, evaluate management quality, and assess industry structure using Porter's Five Forces

- How to apply value investing, growth investing, and margin-of-safety principles

- How to build a stock screener and avoid common fundamental analysis mistakes

- How Indian and global mutual fund/equity taxation and cost structures affect real returns

- How to produce a complete, real valuation of an actual company from start to finish

Requirements

- No prior accounting or finance experience required

- Basic comfort with simple percentages and arithmetic

- Access to a company's public financial filings (this course shows you exactly where to find them, for free)

Who This Course Is For

- Complete beginners who want a real, structured foundation in analyzing businesses

- Investors who currently buy stocks based on price alone and want to understand business quality

- Anyone who wants to calculate and interpret real valuation ratios with genuine confidence

- People who've tried value investing before but lacked a structured, repeatable process

- Anyone who wants one complete system instead of scattered internet stock tips

Who this course is for
Complete beginners who want a real, structured foundation in analyzing businesses
Investors who currently buy stocks based on price alone and want to understand business quality
Anyone who wants to calculate and interpret real valuation ratios with genuine confidence
People who've tried value investing before but lacked a structured, repeatable process
Anyone who wants one complete system instead of scattered internet stock tips

Homepage

https://www.udemy.com/course/fundamental-analysis-value-stocks-like-a-pro/

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Microsoft Copilot Studio: Building Action-Driven AI Agents
Published 9/2026
Created by Alireza Aliabadi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 36 Lectures ( 4h 50m ) | Size: 3.6 GB

Master Tools, Agent Flows, Custom Prompts, REST APIs & Custom Connectors to Build Agents That Actually Do Things

What you'll learn
⚡ Build action-driven AI agents that go beyond answering questions and perform real business tasks.
⚡ Master Tools in Copilot Studio, including inputs, outputs, configuration, and tool execution.
⚡ Build and call Agent Flows to connect Copilot Studio agents with Power Automate.
⚡ Use Custom Prompts to extract, transform, and structure information with generative AI.
⚡ Understand Classic vs. AI Orchestration and choose the right approach for performance, control, and cost.
⚡ Connect agents to external systems using REST APIs and understand requests, responses, and JSON.
⚡ Build Custom Connectors from API documentation and integrate them as tools in Copilot Studio.

Requirements
❗ Basic understanding of Microsoft Copilot Studio and how to create and configure an agent.
❗ Familiarity with Power Platform concepts such as connectors, variables, and cloud flows.
❗ Access to a Microsoft Power Platform environment where you can create and test Copilot Studio agents.
❗ Basic understanding of JSON is highly recommended, especially for the REST API and Custom Connector sections.
❗ No advanced programming experience is required, but this course is designed for a technical/developer audience.
❗ If you are completely new to Copilot Studio, completing a beginner-level Copilot Studio course first is strongly recommended.

Description
I'd front-load the exact scope immediately, then explain who it's for and why it matters

This course is aboutmastering Tools in Microsoft Copilot Studio and using them to buildaction-driven AI agents. We'll work hands-on withCopilot Studio Tools, Agent Flows, Power Automate, Custom Prompts, REST APIs, and Custom Connectors to build agents that don't just answer questions — they actuallydo things.

Designed for developers, consultants, and technical Power Platform professionals who already understand the fundamentals of Copilot Studio, this course goes beyond knowledge sources and basic conversational agents.

You'll learn how agents pass inputs to tools, process outputs, interact with external systems, and perform real business actions. We'll work with bothClassic and AI Orchestration, exploring when each approach makes sense and why using more AI isn't always the smartest engineering decision.

This is a hands-on, project-driven course. We'll create support tickets in SharePoint, extract structured information using Custom Prompts, call Agent Flows, work directly with REST APIs, build Custom Connectors from API documentation, and bring everything together insideBanana Assist 3.0, our increasingly capable company AI agent.

This isnot a Power Automate course, and it's not another introduction to Copilot Studio. We stay focused on the mechanics developers need to understand to build capable, reliable AI agents.

By the end, you won't just have an AI agent that can talk.

You'll have one with a toolbox.

Who this course is for
⭐ Copilot Studio developers who already understand the fundamentals and want to build more capable agents.
⭐ Power Platform developers and consultants ready to move beyond basic conversational agents.
⭐ Developers who want to master Tools, Agent Flows, Custom Prompts, REST APIs, and Custom Connectors.
⭐ Professionals building enterprise AI agents where performance, control, reliability, and cost matter.
⭐ Anyone who wants to build AI agents that don't just talk about work — they actually do the work.

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VMware Cloud Foundation 9 Administrator 2V0-17.25 Exam Prep
Published 9/2026
Created by Brady Keezer
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 7 Lectures ( 2h 55m ) | Size: 1.3 GB

This course directly reflects the official Broadcom 2V0-17.25 exam guide, and designed for you to pass with confidence!

What you'll learn
⚡ Explain the architecture and value proposition of a VCF-based private cloud
⚡ Deploy and configure the foundational building blocks of a VCF environment
⚡ Operate and manage a VCF fleet using centralized administrative tools
⚡ Configure self-service consumption and automation through VCF Automation

Requirements
❗ Basic virtualization knowledge; foundational VMware/vSphere knowledge; ~1 year general IT experience recommended

Description
Broadcom's shift from à la carte VMware licensing to the unified VMware Cloud Foundation platform has fundamentally changed how organizations build and manage private clouds — and it's reshaped what it means to be a VMware administrator. This comprehensive, 3-hour course is designed to take you from foundational virtualization concepts all the way through the official 2V0-17.25 exam objectives, giving you both the theoretical knowledge and practical context you need to earn your VCP-VCF Administrator certification with confidence. We dive deep into every tested exam objective including vSphere, vSAN, and NSX; deploying and configuring a full VCF instance from the ground up; managing licensing, certificates, and identity at fleet scale; monitoring and troubleshooting with VCF Operations; and enabling self-service, multi-tenant automation through VCF Automation and Supervisor. Every section is grounded in real-world scenarios you'll actually encounter as an administrator — not just exam trivia — so the knowledge you walk away with is immediately useful on the job, not just on test day. The course also includes builtin labs you can follow along with, as well as a robust 100 question practice exam with explanations that uses similar formatting as you will see on standard VMware-based exams. If I haven't said it yet, a big thank you to everyone checking out my course!

Who this course is for
⭐ VMware professionals and IT administrators preparing for the VCP-VCF Administrator certification

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Practical AI for the Small Business
Published 9/2026
Created by Tania Driskill
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 28 Lectures ( 1h 21m ) | Size: 808.9 MB

Prompting, document workflows, verification habits and AI governance for real small-business work.

What you'll learn
⚡ Explain in plain words how a large language model produces text, and why it sometimes produces confident nonsense
⚡ Choose the right type of AI tool for a task, and ask the five questions that matter before trusting any new one
⚡ Write effective prompts using role, context, task, format and constraints, and improve weak answers through iteration
⚡ Use an AI assistant to summarize, extract from and compare business documents, with a verification habit that catches errors
⚡ Draft emails, proposals, marketing copy and other business texts with AI support while keeping full human ownership of the result
⚡ Apply AI assistants to day-to-day operations and to risk- or safety-sensitive decisions in ways that respect the limits of the technology
⚡ Protect confidential, personal and proprietary information when working with AI tools, and verify AI output systematically
⚡ Describe the essentials of the EU AI Act and typical company AI policies as they apply to everyday small-business users

Requirements
❗ No coding or technical background required — just access to any AI assistant (Claude, ChatGPT or Copilot), free or paid
❗ A willingness to try prompts on your own real or practice business documents while you follow along

Description
This course contains the use of artificial intelligence.

AI assistants such as Claude, ChatGPT and Microsoft Copilot have become everyday tools for small business owners and their teams — but most people use maybe 10% of what they can actually do, and nobody has shown them the other 90%.

This hands-on course teaches the skills that survive every product update: how these tools actually work (and where they confidently get things wrong), how to write a prompt that gets a usable answer the first time, how to summarize, extract from and compare business documents, how to draft client communication you can stand behind, and how to know when a task belongs to AI and when it belongs to a qualified human.

You'll work through eleven lessons built around a single running example — a small consulting firm handling real contracts, client letters and quarterly reviews — plus a dedicated lesson walking the same skills through a clinic, a manufacturing shop and a retail business, so you can see your own work reflected in the material. Every lesson ends with a knowledge check, and a ten-question final assessment covers the whole course.

By the end, you'll have a personal 90-day practice plan, a starter library of reusable prompt templates, and the guardrails — confidentiality, verification, human oversight — that make using AI at work sustainable instead of risky.

Who this course is for
⭐ Small business owners, managers and staff who use or want to use AI assistants like ChatGPT, Claude or Copilot at work Anyone who wants a structured, no-hype introduction to using AI safely and effectively in day-to-day business tasks Teams that need to document AI-literacy training, including for the EU AI Act's Article 4 literacy duty
⭐ Not for developers looking to build or fine-tune AI models — this is a practical-use course, not a technical one

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The AI Sparring Partner: Using AI Prompting to Think Critically
Released 9/2026
With Justin Shaifer
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 57m | Size: 366.3 MB

Learn how to turn any AI tool into a sparring partner that challenges your assumptions and makes your judgment the thing that sets your work apart.

Course details
Most people use AI to get answers faster. Justin Shaifer teaches business professionals to use it to think better. In this course, Justin explains why AI tools are built to agree with you, what that quietly costs you and your team, and how to set up a conversation where AI argues back instead of nodding along. He covers loading real context, configuring tools to challenge you by default, directing AI research, verifying AI output, and running full sparring sessions on real work. Every technique is demonstrated across AI tools (including Claude and ChatGPT), so the skill travels with you no matter which tool you use. After finishing this course, you will have built a personal library of sparring prompts you can run against any future project.This course was created by Justin Shaifer. We are pleased to host this training in our library.

Skills covered
AI Prompting, Generative AI, Critical Thinking

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The Complete Kotlin Masterclass: From Zero to Advanced 2026
Published 9/2026
Created by Dobinca Cristian
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 75 Lectures ( 11h 8m ) | Size: 4 GB

Master Kotlin from Beginner to Advanced with real-world projects, OOP, Coroutines, Flow, APIs, and modern Android

What you'll learn
⚡ Master Kotlin fundamentals, including variables, data types, operators, control flow, null safety, strings, and collections to build a strong foundation.
⚡ Write clean, reusable Kotlin code using functions, lambdas, higher-order functions, extension functions, generics, and other powerful language features.
⚡ Understand object-oriented programming in Kotlin, including classes, objects, inheritance, interfaces, encapsulation, polymorphism, and abstract classes.
⚡ Build asynchronous Kotlin applications using Coroutines and Flow, handling background work, concurrency, reactive streams, cancellation, and data processing.

Requirements
❗ No programming experience need; we start from zero.

Description
Learn Kotlin from the ground up and become a confident Kotlin developer by building a strong understanding of the language, its modern features, and real-world programming concepts.

Whether you are completely new to Kotlin or already have programming experience and want to take your skills to the next level, this course is designed to guide you step by step from the fundamentals to advanced Kotlin development.

You'll start with the foundations of Kotlin, including variables, data types, operators, conditions, loops, functions, collections, null safety, and exception handling. From there, you'll dive deeper into object-oriented programming, classes, objects, inheritance, interfaces, abstract classes, data classes, sealed classes, generics, extension functions, higher-order functions, lambdas, and much more.

As you progress, you'll learn some of Kotlin's most powerful features, including scope functions, destructuring, delegation, advanced collections, functional programming concepts, and Kotlin's concise and expressive syntax.

You'll also explore asynchronous programming with Kotlin Coroutines and learn how to work with modern reactive programming concepts such as Flow.

Throughout the course, the emphasis is on practical learning. Instead of simply memorizing syntax, you'll write code, solve problems, build projects, and learn how Kotlin is used in real-world software development.

By the end of this course, you'll have a solid foundation in Kotlin and the confidence to use the language to build real applications, continue into Android development, and tackle more advanced programming concepts.

What you'll learn

• Kotlin fundamentals and syntax
• Object-oriented programming in Kotlin
• Null safety and exception handling
• Collections and functional programming
• Lambdas and higher-order functions
• Generics and extension functions
• Data classes, sealed classes, and interfaces
• Advanced Kotlin features and best practices
• Kotlin Coroutines and asynchronous programming
• Kotlin Flow and reactive programming
• Practical programming through real-world examples and projects

If you want to master Kotlin and build the skills needed to become a modern Kotlin developer, this course is for you.

Who this course is for
⭐ Everyone with a computer. :)

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• date: 12 September 2026
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Marine Incident & Root Cause Analysis
Published 9/2026
Created by Charalampous vasileios
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 9 Lectures ( 51m ) | Size: 313.9 MB

Master marine casualty investigations, preserve evidence, execute interviews, and perform systemic root cause analysis.

What you'll learn
⚡ Apply the 7-step MAIIF roadmap to manage marine casualty investigations from the critical 48-hour evidence preservation window to final IMO GISIS reporting.
⚡ Master Root Cause Analysis (RCA) and MaRCAT to trace surface operational errors and machinery failures back to underlying shore-side management deficiencies.
⚡ Decode human factors using SHEL and Swiss Cheese models to move away from individual blame toward systemic risk mitigation and Just Culture principles.
⚡ Audit regulatory compliance across ISM Section 9, SOLAS, UNCLOS, and MSC.255(84) standards to ensure fleet readiness for Port State Control inspections.
⚡ Formulate high-impact safety recommendations and corrective action plans (CAPs) that satisfy internal, flag state, and commercial vetting expectations.

Requirements
❗ Basic Maritime Understanding: Familiarity with shipboard operations, maritime terminology, or vessel management frameworks is recommended.
❗ No Forensic Experience Needed: Prior experience in accident investigation or formal root cause analysis is not required; all analytical frameworks are taught step-by-step.
❗ Tools: A PDF reader and spreadsheet software (like Microsoft Excel or Google Sheets) to complete the included investigation templates and 5-Whys worksheets.

Description
Master the technical frameworks, regulatory drivers, and forensic methodologies required to lead professional marine casualty investigations and deliver robust Root Cause Analysis (RCA).

Navigating shipboard incidents demands more than operational intuition—it requires a systematic, evidence-based approach that uncovers systemic organizational failures without defaulting to individual blame. Built upon the principles of the IMO Casualty Investigation Code (Res. MSC.255(84)), MAIIF standards, and ISM Code Section 9, this course provides a complete roadmap for modern maritime safety professionals.

What You Will Learn
✨The 7-Step MAIIF Investigation Process: Manage casualties step-by-step from the initial critical 48-hour evidence preservation phase (including VDR data securing) through final IMO GISIS reporting.

✨Forensic Root Cause Analysis (RCA): Apply advanced RCA methodologies to look past active, surface-level operational errors and identify latent shore-side management and SMS deficiencies.

✨Human Factors & Systems Safety: Utilize the SHEL and Reason's Swiss Cheese models to analyze human element interactions within a Just Culture framework.

✨Compliance & Audit Verification: Align investigation outcomes with ISM Section 9, SOLAS, UNCLOS, and Port State Control (PSC) verification standards.

✨Actionable Safety Recommendations: Draft high-impact corrective action plans (CAPs) that satisfy flag state, class, and commercial vetting requirements.

Course Materials & Resources Included
✨ Downloadable investigation templates, 5-Whys worksheets, and incident report frameworks.

✨ Real-world scenario walkthroughs covering operational, machinery, and regulatory compliance breakdowns.

✨ Step-by-step visual diagrams for causal chain mapping and SHEL interaction analysis.

Transparency & Disclosure Note To provide consistent, high-clarity delivery across all modules, this course utilizes high-quality synthetic narration powered by ElevenLabs, along with AI-assisted visual instructional slides designed to deliver structured, easy-to-follow learning. All technical content, methodologies, and instructional frameworks are authored and verified by maritime safety and engineering professionals.

Who this course is for
⭐ Marine Superintendents & Fleet Managers looking to improve internal incident reporting, conduct thorough RCAs, and implement lasting corrective actions.
⭐ Designated Persons Ashore (DPAs) & HSEQ Officers responsible for ISM Code Section 9 compliance, safety management system oversight, and audit readiness.
⭐ Marine Surveyors, Class Auditors & Investigators seeking a structured, forensic approach to analyzing casualties under MAIIF and IMO standards.
⭐ Shipboard Officers (Masters, Chief Engineers, & Deck/Engine Officers) wanting to understand how onboard evidence gathering directly impacts shore-side safety outcomes.

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Microsoft Foundry A-Z : Agents, RAG, Workflows & Evaluation
Published 9/2026
Created by Start-Tech Trainings, Start-Tech Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 19 Lectures ( 4h 39m ) | Size: 2.5 GB

No-Code/Low-Code - Build AI Solutions Using Microsoft Foundry, RAG, Workflows, and Azure AI Services

What you'll learn
⚡ Build AI applications in Microsoft Foundry by understanding its core capabilities and Azure AI ecosystem
⚡ Select appropriate AI models and configure system and custom instructions to control AI application behavior
⚡ Build RAG solutions using Azure AI Search and Knowledge Bases to connect AI applications with relevant information
⚡ Create structured and predictable AI outputs using JSON Schema for practical application development
⚡ Design and implement AI workflows in Microsoft Foundry to orchestrate models, tools, and different application tasks
⚡ Evaluate AI applications and implement guardrails to improve their quality, reliability, safety, and responsible AI behavior

Requirements
❗ No prior experience with Microsoft Foundry is required—just a computer, an internet connection, and a willingness to learn.

Description
Are you an AI Engineer, Data Scientist, Developer, Solution Architect, IT Professional, Business Analyst, or someone who wants to learn how to build AI applications using Microsoft Foundry?

Imagine discovering and deploying the right AI models, building Retrieval-Augmented Generation (RAG) applications, connecting AI systems to enterprise knowledge bases, generating structured outputs using JSON Schema, creating intelligent workflows, and evaluating AI systems for quality and safety—all from a single platform.

Microsoft Foundry is one of the most powerful platforms for building, deploying, and managing AI applications. It provides organizations with access to cutting-edge AI models, orchestration tools, knowledge integration capabilities, workflow automation, evaluation frameworks, and responsible AI guardrails. As AI adoption continues to grow across industries, professionals who understand how to use Microsoft Foundry are becoming increasingly valuable.

In this course, you will learn Microsoft Foundry from scratch through a practical, hands-on approach. You will begin by understanding the Azure ecosystem and Microsoft Foundry fundamentals before moving into model selection, system instructions, custom instructions, Retrieval-Augmented Generation (RAG), Azure AI Search, Knowledge Bases, JSON Schema, Workflows, Evaluations, and Guardrails.

What You Will Learn
✨ Understand the Azure AI ecosystem and Microsoft Foundry platform

✨ Explore and select the right AI models for different use cases

✨ Configure System Instructions for better AI responses

✨ Create Custom Instructions to control model behavior

✨ Understand the fundamentals of Retrieval-Augmented Generation (RAG)

✨ Build RAG-based AI applications step by step

✨ Integrate Azure AI Search into RAG solutions

✨ Create and manage Knowledge Bases for AI applications

✨ Generate structured outputs using JSON Schema

✨ Implement practical JSON Schema use cases

✨ Understand workflow concepts in Microsoft Foundry

✨ Build and manage AI workflows

✨ Evaluate AI application performance and quality

✨ Measure model effectiveness using evaluation frameworks

✨ Implement Guardrails for responsible and secure AI solutions

✨ Build production-ready AI applications using Microsoft Foundry

Why This Course Is Important
Organizations are rapidly adopting Generative AI to improve productivity, automate business processes, and create intelligent applications. However, building reliable AI systems requires more than simply connecting to a language model. Modern AI applications need retrieval systems, structured outputs, orchestration workflows, evaluation mechanisms, and safety controls.

Microsoft Foundry provides an end-to-end platform for building enterprise-grade AI solutions. Companies are increasingly looking for professionals who understand how to design, deploy, evaluate, and manage AI applications using modern AI platforms.

Learning Microsoft Foundry can help you build practical AI solutions, improve your AI development skills, and prepare for real-world AI implementation projects across industries.

Whether you are developing AI copilots, knowledge assistants, customer support systems, internal productivity tools, or enterprise AI applications, Microsoft Foundry provides the capabilities needed to build scalable and reliable solutions.

What Makes This Course Unique
This course is focused on practical implementation rather than theory alone. Every concept is explained through hands-on demonstrations and real-world examples that show how AI applications are built using Microsoft Foundry.

You will learn how to select models, configure instructions, build RAG systems, connect AI Search, create Knowledge Bases, generate structured outputs using JSON Schema, build workflows, and evaluate AI solutions using industry best practices.

The course is designed in a beginner-friendly format with concepts explained in a clear and practical manner. Even if you have never worked with Microsoft Foundry before, you will be able to follow along and start building AI applications confidently.

The curriculum follows a logical progression from foundational concepts to advanced implementation topics, helping you gain both conceptual understanding and practical experience.

Start Your Microsoft Foundry Journey
AI applications are becoming a critical part of modern business operations, and organizations need professionals who can build secure, scalable, and reliable AI solutions.

In this course, you will learn how to use Microsoft Foundry to build AI applications, implement RAG architectures, integrate enterprise knowledge sources, create structured AI outputs, orchestrate workflows, evaluate performance, and apply responsible AI guardrails.

If you want to develop in-demand AI skills, build practical AI solutions, and learn how to use Microsoft Foundry effectively, enroll now and start your Microsoft Foundry journey today.

Who this course is for
⭐ AI Developers and Software Developers who want to learn how to build AI applications using Microsoft Foundry.
⭐ AI Engineers and Machine Learning Professionals who want to work with AI models, RAG, evaluation, workflows, and guardrails.
⭐ Azure Developers and Cloud Professionals who want to expand their skills into Generative AI and Microsoft Foundry.
⭐ Data Scientists and Data Engineers who want to build AI solutions that can work with enterprise data and knowledge sources.
⭐ Professionals exploring Generative AI who want hands-on experience with RAG, Azure AI Search, Knowledge Bases, JSON Schema, workflows, evaluation, and guardrails.
⭐ Students and AI enthusiasts who have a basic understanding of AI concepts and want to develop practical Microsoft Foundry skills for real-world applications.

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• date: 12 September 2026
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Effective Delegation
Last updated 2/2026
Created by Ricardo Nuqui
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 20 Lectures ( 2h 21m ) | Size: 2.4 GB

Master the art of assigning tasks while empowering your team

What you'll learn
⚡ The primary objective of this course is to equip leaders and managers with the knowledge, tools, and practical skills needed to delegate tasks effectively.
⚡ Understand the Importance of Delegation
⚡ Overcome Common Barriers
⚡ Apply a Structured Delegation Framework
⚡ Enhance Communication Skills
⚡ Empower Their Teams
⚡ Implement Practical Tools

Requirements
❗ No leadership or management experience required.

Description
Delegation is a cornerstone of effective leadership, yet many managers and professionals struggle to do it well. Our online course,Effective Delegation , is designed to equip you with the skills, tools, and confidence to delegate tasks strategically and successfully. Whether you're leading a team, managing projects, or scaling operations, this course will transform how you approach delegation—empowering both you and your team to achieve more.

Through a series of engaging modules, you'll learn how to identify tasks that are ideal for delegation and match them to the right individuals based on their skills and growth potential. You'll gain practical strategies for setting clear expectations, providing ongoing support, and monitoring progress without micromanaging. The course also addresses common challenges, such as delegating under tight deadlines, working with inexperienced team members, and navigating resistance.

Each module includes real-world examples, downloadable templates (e.g., Task Prioritization Matrix, Delegation Communication Script), and actionable exercises to reinforce learning. By the end of the course, you'll have a personalized action plan to implement effective delegation practices in your workplace.

To complement the course, we recommend the companion book,Mastering Delegation: A Leader's Guide to Empowering Teams and Achieving Success . This invaluable resource dives deeper into the principles covered in the course, offering additional insights and long-term reference material for applying your knowledge in real-world scenarios.

Whether you're a new leader looking to build foundational skills or an experienced professional aiming to refine your approach,Effective Delegation will help you unlock your team's potential, streamline workflows, and achieve extraordinary results. Enroll today and take the first step toward becoming a more impactful leader.

Who this course is for
⭐ Corporate leaders, managers, and aspiring professionals looking for the essential skills, strategies, and insights needed to excel in leadership and management roles.

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• views: 95
• date: 12 September 2026
• posted by: 0nelove

AIX / PowerVM: Virtualization on the IBM Power Platform
Published 9/2026
Created by Sebastian Biedroń
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 29 Lectures ( 5h 57m ) | Size: 3.7 GB

Master IBM PowerVM & AIX Virtualization: CPU, Memory (AME, AMS), Storage (NPIV, vSCSI), Network (vNIC, SEA), and VIOS

What you'll learn
⚡ Master PowerVM virtualization: The core technology for AIX, IBM i, and Linux on the IBM Power platform.
⚡ Understand the Hypervisor under the hood: Learn the deep architecture and operation of the IBM Power Hypervisor.
⚡ Deploy and manage LPARs: Configure Logical Partitions and build a robust Virtual I/O Server (VIOS) environment.
⚡ Master CPU Virtualization: Configure Dedicated and Shared processors, Capped/Uncapped modes, weights, affinity, and Shared Processor Pools.
⚡ Optimize Memory Resources: Implement advanced features like Active Memory Expansion (AME) and Active Memory Sharing (AMS).
⚡ Integrate Enterprise Storage: using VSCSI and NPIV architectures.
⚡ Design Virtual Networks: Implement networking using Virtual Ethernet, SR-IOV, vNIC, and Shared Ethernet Adapters (SEA).
⚡ Apply best practices: Learn production-proven strategies for deep integration between the AIX operating system and PowerVM.

Requirements
❗ Basic understanding of the IBM AIX operating system.
❗ General knowledge of IT virtualization concepts (e.g., hypervisors, virtual machines).
❗ Recommended: Access to an IBM Power server, AIX system, or HMC (Hardware Management Console) for hands-on practice.

Description
MasterPowerVM and unlock the full potential ofIBM Power Systems. This comprehensive course will teach you how tovirtualize AIX from the ground up. You will learn to design and buildLogical Partitions (LPARs) engineered for maximum high availability and performance.

Deep expertise in IBM Power virtualization is a rare and highly valued skill in the enterprise IT market. If you have struggled to find clear, accessible, and practical training on this architecture, you are in the right place.

What You Will Learn
✨ The Core Architecture: Understand the inner workings of the Hypervisor, LPARs, and the Virtual I/O Server (VIOS).

✨ CPU Virtualization: Master dedicated and shared processors, capped vs. uncapped modes, processor priorities, affinity, and Shared Processor Pools.

✨ Memory Virtualization: Implement Active Memory Expansion (AME) and Active Memory Sharing (AMS).

✨ Storage Virtualization: Configure Virtual SCSI (vSCSI), Shared Storage Pools and NPIV for enterprise storage routing.

✨ Network Virtualization: Build robust networks using Virtual Ethernet, SR-IOV, vNIC, and Shared Ethernet Adapters (SEA).

✨ The Power of VIOS: Discover how the Virtual I/O Server integrates the entire virtualized ecosystem.

✨ Enterprise Features: Leverage advanced PowerVM capabilities to boost performance and cut licensing costs, including Live Partition Mobility (LPM), Suspend/Resume, and Power Enterprise Pools.

About This Course
This training is designed specifically for AIX administrators, system engineers, and IT professionals working with the IBM Power platform. It distills years of real-world, hands-on engineering experience into a clear, structured learning path.

I respect your time. That is why this course delivers nearly six hours of highly concentrated, no-nonsense video lectures. All filler content has been ruthlessly edited out, leaving you with pure, actionable insights into AIX and PowerVM.

A note on hands-on practice: Because IBM Power environments rely on highly specialized, enterprise-grade hardware, this course focuses on deep architectural understanding and over-the-shoulder CLI/HMC walkthroughs rather than providing a personal sandbox. However, the exact concepts and configurations you learn here are directly applicable to real-world production environments.

Requirements
✨ Basic understanding of IT infrastructure and server architecture.

✨ General familiarity with UNIX/Linux operating systems.

✨ Basic networking and storage (SAN/LAN) concepts will be helpful.

Who is this course for?
✨ System Administrators stepping into the IBM Power ecosystem.

✨ AIX and Linux Engineers looking to master PowerVM virtualization.

✨ IT Architects designing high-availability enterprise environments.

See you inside the course!

Sebastian Biedron

Who this course is for
⭐ AIX System Administrators looking to master hardware virtualization and advance their careers.
⭐ IT Architects designing high-availability server environments and disaster recovery solutions.
⭐ System Engineers transitioning from other virtualization platforms to IBM Enterprise environments.

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• date: 12 September 2026
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