The Gini Impurity Index is a measure of the diversity in a dataset. In this short video you'll learn a very simple way to calculate it using probabilities.

Announcement: Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt

My AI Toolkit: https://academy.jeffsu.org/ai-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=177

Understanding AI Agents doesn't require a technical background. This video breaks down the evolution from basic LLMs like #ChatGPT to AI Workflows and finally to true #AI Agents through practical, real-world examples.

Learn the key differences between these technologies and discover how concepts like RAG and ReAct actually work in simple terms. Perfect for regular AI users who want to understand how these emerging technologies will impact their daily lives.

*TIMESTAMPS*
00:00 AI vs. AI Agents
01:04 Level 1: LLMs
02:17 Level 2: AI Workflows
05:26 Level 3: AI Agents
07:48 Real-world Example
09:10 Summary

*RESOURCES MENTIONED*
Helena Liu's AI Workflow Tutorial: https://youtu.be/H0YRniHh2tg
Andrew Ng's AI Agent Demo: https://youtu.be/KrRD7r7y7NY

*BE MY FRIEND:*
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💼 Teal - http://tealhq.co/jeffsu

#aiagents

📚 Get all the resources and prompts for this course in my Skool Classroom: https://bit.ly/48GLQOk
Build your own AI Workforces with Relevance: https://bit.ly/liamottley-relevance
Turn your ideas into presentations with Gamma: https://bit.ly/liamottley-gamma

📈 Become a Wildly Profitable AI Entrepreneur: https://bit.ly/47m5GMl
🤝 Ready to transform your business with AI? Let's talk: https://bit.ly/4qypPYD
📋 Get our FREE 14-day playbook for finding high-impact AI opportunities in any business: https://bit.ly/14-day-playbook

AI isn’t just replacing jobs — it’s creating AI workforces that replace entire departments with digital teams that run 24/7 without salaries, burnout, or hiring bottlenecks. In this video, you’ll learn how to build AI agents and multi-agent workforces that automate real business processes like booking meetings, preparing presentations, transcribing calls, and assigning tasks, using the Relevance AI platform and powered by integrations with Gamma.app, HubSpot, Google Meet, Trello, and more. I’ll show you an end-to-end build of a personal AI assistant workforce that researches participants, designs presentation decks, manages scheduling, and sends follow-up summaries — all while you sleep. If you want to stay ahead in the $1 trillion AI automation market, monetize automation skills, and become the person companies trust to guide their AI transformation, this is your roadmap to surviving and thriving in the new era of autonomous digital employees.

⏱️ Timestamps:
00:00 - What We’re Covering
01:58 - Chapter 1: Foundations
05:28 - What Is an AI Workforce?
07:00 - How AI Workforces Actually Work
10:53 - Foundations Recap
11:47 - Chapter 2: Building
11:55 - Relevance AI Orientation
14:55 - What We’re Building
18:08 - Meeting Booker Agent
27:48 - Participant Finder Agent
31:07 - Orchestrator Agent
39:39 - Gamma Agent
47:39 - Lead Locator Agent
52:42 - Note Taker Agent
56:54 - Full AI Workforce Demo
59:14 - Publishing to Relevance Marketplace
1:01:12 - Chapter 3: Monetization (Selling workforces)

Proud partners with Relevance.ai and Gamma.app

A look at what Agentic AI is and then how to create an agentic AI agent using Copilot Studio then Semantic Kernel.

🔎 Looking for content on a particular topic? Search the channel. If I have something it will be there!
🤔 Due to the channel growth and number of people wanting help I no longer can answer or even read questions and they will just stay in the moderation queue never to be seen so please post questions to other sites like Reddit, Microsoft Community Hub etc.

▬▬▬▬▬▬ C H A P T E R S ⏰ ▬▬▬▬▬▬
00:00 - Introduction
00:26 - Types of AI agent
05:27 - Agentic AI
09:35 - Self-improving?
11:26 - Agentic agents ARE AI agents
11:40 - Many expert agents
13:58 - Quality testing
14:56 - Creating Agentic agents
15:15 - Low code with Copilot Studio
17:43 - Using generative orchestration
20:19 - Adding triggers
22:55 - Pro code with Semantic Kernel
24:48 - Types of semantic kernel agent
26:28 - Multi-agent
28:53 - Multi-agent example code
32:25 - Viewing multi-agent interaction
34:18 - Governance
35:59 - Summary

▬▬▬▬▬▬ K E Y L I N K S 🔗 ▬▬▬▬▬▬
► Video whiteboard:
🔗 https://github.com/johnthebrit..../RandomStuff/raw/mas
► Semantic kernel agent sample repo:
🔗 https://github.com/microsoft/s....emantic-kernel/tree/

▬▬▬▬▬▬ Want to learn more? 🚀 ▬▬▬▬▬▬
📖 Recommended Learning Path for Azure
🔗 https://learn.onboardtoazure.com
🥇 Certification Content Repository
🔗 https://github.com/johnthebrit..../CertificationMateri
📅 Weekly Azure Update
🔗 https://youtube.com/playlist?l....ist=PLlVtbbG169nEv7j
☁ Azure Master Class
🔗 https://youtube.com/playlist?l....ist=PLlVtbbG169nGccb
⚙ DevOps Master Class
🔗 https://youtube.com/playlist?l....ist=PLlVtbbG169nFr8R
💻 PowerShell Master Class
🔗 https://youtube.com/playlist?l....ist=PLlVtbbG169nFq_h
🎓 Certification Cram Videos
🔗 https://youtube.com/playlist?l....ist=PLlVtbbG169nHz2q
🧠 Mentoring Content
🔗 https://youtube.com/playlist?l....ist=PLlVtbbG169nGHxN
❔ Questions? Maybe I answered it in my FAQ
🔗 https://savilltech.com/faq
👕 Cure Childhood Cancer Charity T-Shirt Channel Store
🔗 https://johns-t-shirts-store.creator-spring.com/

👂 Enable the subtitles and from there you can translate to your native language via the auto-translate feature in settings! https://youtu.be/v5b53-PgEmI for a demo of using this feature.

SUBSCRIBE ✅ https://www.youtube.com/channe....l/UCpIn7ox7j7bH_OFj7

#aiagents #AI #agenticai #copilotstudio #johnsavillstechnicaltraining #onboardtoazure

Claude Code tutorial and guide (beginner, intermediate, advanced).

Want to go even deeper on Claude Code with hands-on help? Join my 8 day AI Coding Accelerator: https://maven.com/alpha-clarit....y/ship-with-claude-c (use code YOUTUBE for $300 off)

AI coding accelerator Scholarship Application Form: https://forms.gle/tAhxqD8TTFNrfJAj6

My complete system for starting every Claude Code project: https://youtu.be/aQvpqlSiUIQ

Want to learn even more? Check out these lightning lessons
Claude Code 101: https://maven.com/p/c513ad/cla....ude-code-101-11-mont
Claude Code 201: Skills, Plugins, MCP: https://maven.com/p/2ab172/cla....ude-code-201-skills-
——

Six months ago, I was using Claude Code all wrong. Today, I'm a Claude Code power user: I can run multiple Claude Code instances simultaneously and build a week's worth of features in just hours.

In this comprehensive guide, I share 36 specific lessons that transformed me from a Claude Code beginner to pro. These are battle-tested techniques I use daily to ship real projects faster than ever before.

Whether you're new to Claude Code or consider yourself a power user, I guarantee you'll learn something from this video that will level up your development workflow with Claude Code.

🎯 What You'll Learn:
✅ Level 1 - Beginner (Foundations):
The claude.md file that puts you ahead of 99% of users
Essential commands and bash mode mastery
Screenshot debugging and test-driven development
Message queue for non-stop productivity

✅ Level 2 - Intermediate (Workflow Enhancements):
Planning modes and think keywords for complex problems
Using Claude for research, documentation, and changelogs
GitHub Actions integration for automatic PR reviews
The product manager mindset that changes everything

✅ Level 3 - Master (Advanced Techniques):
Parallel planning with multiple solution exploration
Running multiple Claude instances with Git worktrees
Custom commands and specialized subagents
MCP servers for database and third-party integrations

🔔 ABOUT AI WITH AVTHAR
Learn how to build apps with AI coding tools, even if you're new to coding. Subscribe to learn about the best AI coding tools and how to get the most out of them. I'm Avthar Sewrathan, and I'm obsessed with AI coding tools. With a decade of tech experience and background as a startup founder and AI Product Manager, I bring you practical insights on tools like ChatGPT, Claude Code, Cursor, Replit, v0, and more.

FOLLOW AVTHAR:
YOUTUBE: https://www.youtube.com/@avtharai
X (TWITTER): https://x.com/avthars
TIKTOK: https://www.tiktok.com/@vibecoder.com

TIMESTAMPS
00:00 Claude Code: The New King of AI Coding?
02:14 Level 1: Beginner
02:29 Installation
03:37 Todo lists
04:16 Essential Commands
06:35 Debugging with Claude Code
07:57 Claude.md file
09:33 Message Queue
09:57 Markdown file prompts
10:33 Level 2: Intermediate
10:51 Planning Modes
12:10 Thinking Modes
12:58 More than Code: Research, Documents, Changelogs
15:16 Github Actions Integration
15:59 Mindset for Success with Claude Code
17:23 Level 3: Master
17:48 Parallel Subagents
18:16 Multiple Claudes (aka multi-clauding) with Git worktrees
19:30 Custom Slash Commands
20:50 Custom Subagents
22:50 MCP Server Usage
24:05 Cost and Value for Money
25:56 Conclusion: What's next?

Welcome to the first video in my Deep Learning With Pytorch playlist!

In this video I'll talk a little bit about what a Neural Network is, and give you a little bit of background history on Pytorch vs. Tensorflow.

Then we'll set up a development environment using Google Colab, and create a first notebook and push it to a Github repository.

#pytorch #codemy #JohnElder

Timecodes

0:00​​ - Introduction
1:12 - Pytorch vs. Tensorflow
2:32 - What is a Neural Network?
4:10 - How Much Math Do You Need?
7:14 - Pytorch Documentation
7:37 - Development Environment Google Colab
9:09 - Use GPU Runtime
10:24 - Check Latest Version of Pytorch
12:04 - Set Up Github Repository
13:36 - Authorize Colab In Github
14:35 - Push Notebook To Github
16:09 - Conclusion