📚 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

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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

This is Week 01 Live Session of BeSA Batch 09 focused on Agentic AI on AWS.
🔴 LIVE SESSION: Foundation of Agentic AI

Join us for a live deep-dive into the Foundation of Agentic AI — the next evolution of AI systems that can plan, reason, and take actions autonomously.

In this live session, we will break down the core concepts behind Agentic AI in a practical and beginner-friendly way. You’ll understand how AI is shifting from passive assistants to autonomous agents capable of goal-driven execution and intelligent decision-making.

What you’ll learn in this LIVE session:
- What is Agentic AI (vs Generative AI)
- Core building blocks of AI Agents
- Planning, reasoning, and tool usage
- Memory and orchestration in agentic systems
- Single-agent vs Multi-agent architectures
- Real-world use cases and architecture patterns

How Agentic AI fits into modern cloud and AI solutions

This session is ideal for Solutions Architects, Developers, AI Engineers, and anyone looking to understand how next-generation AI systems are designed and implemented.

📌 Live Q&A included — bring your questions!
📌 Beginner-friendly + architecture-focused
📌 Practical insights for real-world AI systems

Don’t miss this session if you want to build a strong foundation in AI Agents and Agentic AI.

#AgenticAI #LiveSession #AIonAWS #AIAgents #ArtificialIntelligence #AIArchitecture #GenerativeAI

🧠 Dive into the world of Agentic AI, where AI systems act autonomously to achieve goals without human guidance. From personal assistants to autonomous vehicles, agentic AI is redefining sectors with its ability to learn, adapt, and operate independently. However, this new frontier raises ethical questions about accountability and transparency. Learn more about its growing impact!

#AgenticAI #AutonomousAI #AIInnovation #TechEthics #FutureOfAI

Ready to become a certified watsonx Data Scientist? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdbvCi

Learn more about AI Agents here → https://ibm.biz/BdbvCj

AI agents are transforming how intelligent systems work 🤖. Deanna Berger explains how Agentic AI, workflow automation, and AI infrastructure enable smarter, autonomous solutions. See how connected agents drive innovation and real‑world impact.

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdbvCZ

#ai #agenticai #aiagents #automation

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
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👂 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

🤖 Confused about AI agents and agentic AI? This video clears it up! AI agents are specific applications solving multi-step problems independently, while agentic AI is the entire research field making these agents possible. Think of AI agents as specific medicines and agentic AI as pharmaceutical science. Today's AI agents aren't AGI yet—they're specialized tools for specific purposes. Understanding these developments is essential as increasingly sophisticated agents emerge to automate various tasks. 🔍💡

#AIAgents #AgenticAI #ArtificialIntelligence #FutureTech #BusinessTechnology #AGI #TechTrends

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New Claude Code Update is INSANE! (AI Coding Revolution)

Anthropic just released a massive update to Claude Code Desktop that transforms your computer into an autonomous AI coding machine. Discover how it handles everything from live app previews to automated PR merges while streamlining your entire development workflow. Learn why this update is a game-changer for developers and how to start using it today.

00:00 - Intro: The Massive Claude Update
01:04 - Live App Previews & Auto-Fixing
02:07 - Automated Local Code Reviews
02:47 - CI Failure Handling & Auto-Fix
03:26 - PR Monitoring & Auto-Merge
04:21 - Session Mobility Explained
04:48 - The Future of AI Development
06:59 - How to Get Started with Claude Code

This Claude Code Tutorial teaches you what I wish I knew as a software developer about Claude Code before I started AI coding. Get started here: https://clau.de/kevinstratvert

You can vibe code with other tools, or you can build durable software with tools like Claude Code. First, I'll walk you through how to install it on Mac or Windows.

Next, you’ll connect Claude Code to VS Code and learn how to build your first app - including how best to structure your prompts and what details are useful for Claude to know.

You'll review Claude's Plan mode like a senior engineer and learn how to work faster once you trust the changes it makes.

Next, you'll learn how to use Claude Code with an existing codebase - focusing on how to get it to analyze your coding standards so future changes are consistent. (Heavy use of CLAUDE.md)

Finally, you’ll execute a major architecture change and learn how best to work with Claude Code throughout the process.

Host: David DeWinter
Sponsor: Anthropic

📚 RESOURCES
Commands and Prompts to Copy ➜ https://drive.google.com/drive..../folders/1ZFRZcOCfep
CLAUDE.md guidance ➜ http://humanlayer.dev/blog/wri....ting-a-good-claude-m
Claude Code Best Practices by Anthropic ➜ https://www.anthropic.com/engi....neering/claude-code-

⌚ TIMESTAMPS
0:00 - Install Claude Code
2:08 - Create New App
7:56 - Existing App
11:48 - Architecture Change
14:31 - Your Next Steps

📩 NEWSLETTER
- Get the latest high-quality tutorial and tips and tricks videos emailed to your inbox each week: https://kevinstratvert.com/newsletter/

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MIT 14.01 Principles of Microeconomics, Fall 2023
Instructor: Prof. Jonathan Gruber
View the complete course: https://ocw.mit.edu/14-01F23
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

Prof. Gruber introduces the class by explaining microeconomics as the study of individuals and firms who make themselves as well off as possible in a world full of scarcity. He then explains the core concepts of supply and demand. Keywords: microeconomics, scarcity, constrained optimization, supply and demand

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

MIT 18.06 Linear Algebra, Spring 2005
Instructor: Gilbert Strang
View the complete course: http://ocw.mit.edu/18-06S05
YouTube Playlist: https://www.youtube.com/playli....st?list=PLE7DDD91010

1. The Geometry of Linear Equations

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu

MIT RES.14-004 Seven Questions About Tariffs That Everyone Should Know the Answer To, IAP 2026
Instructor: Arnaud Costinot
View the complete course: https://ocw.mit.edu/courses/re....s-14-004-seven-quest
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

It is hard to predict what US tariffs will look like in a few months, or even in a few weeks from now. But there are many questions about tariffs that can be answered through a combination of theory and data. This lecture discusses seven that everyone should know the answers to.

Question #1: What Is (Always) Bad About Tariffs? (05:16)
Question #2: What is (Potentially) Good About Tariffs? (13:22)
Question #3: Should a Country (Sometimes) Use Tariffs? (28:15)
Question #4: How Do We Know Whether (a Particular Set of) Tariffs Are Good or Bad? (43:08)
Question #5: What Was the Impact of the 2018–2019 Trade War? (46:59)
Question #6: Are Global Tariffs Unfair to the United States? (56:56)
Question #7: What Is (Really) Bad about Trade Wars? (1:02:27)

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

MIT 15.S21 Nuts and Bolts of Business Plans, IAP 2014
View the complete course: http://ocw.mit.edu/15-S21IAP14
Instructor: Joe Hadzima

What is it, why do I need it and what is it used for? Practical do's and don'ts in preparing a Business Plan. Things to keep in mind in writing a Business Plan which will improve your chances of obtaining funding and running a successful business.

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

MIT 15.773 Hands-On Deep Learning Spring 2024
Instructor: Rama Ramakrishnan
View the complete course: https://ocw.mit.edu/courses/15....-773-hands-on-deep-l
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

Covers transfer learning, convolutional neural network (CNN) models, pooling layers, and application examples, including a handbags-shoes classifier.

License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

MIT 6.622 Power Electronics, Spring 2023
Instructor: David Perreault

View the complete course (or resource): https://ocw.mit.edu/courses/6-....622-power-electronic
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

In this lecture, we first review linear vs. switching regulators. We then introduce definitions and methods for analyzing switching circuits, including the Method of Assumed States and Periodic Steady State.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu

Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

View course details: https://online.stanford.edu/co....urses/xcs224r-deep-r

April 2, 2025
This lecture covers:
• Class introduction
• Markov Decisions Processes
• Why study deep reinforcement learning?
• Intro to modeling behavior and reinforcement learning

To learn more about enrolling in the graduate course, visit: https://online.stanford.edu/co....urses/cs224r-deep-re

To follow along with the course schedule and syllabus, visit:
https://cs224r.stanford.edu/

Chelsea Finn
Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of Pi.

(March 29, 2010) Stanford professor Robert Sapolsky gave the opening lecture of the course entitled Human Behavioral Biology and explains the basic premise of the course and how he aims to avoid categorical thinking.

Stanford University
http://www.stanford.edu

Stanford Department of Biology
http://biology.stanford.edu/

Stanford University Channel on YouTube
http://www.youtube.com/stanford