In this comprehensive hands-on workshop, Jon Krohn and Ed Donner introduce AI agents, including multi-agent systems. All the essential theory of agentic AI is provided alongside hands-on code demos in Python that feature the critical agent frameworks: MCP, CrewAI and the OpenAI Agents SDK. From design considerations through to practical implementation tips, by completing all four modules in this video, you will have all the knowledge and skills needed to develop and deploy your own multi-agent teams.

The four modules are:
1. Defining Agents (with OpenAI Agents SDK)
2. Designing Agents (with CrewAI)
3. Deploying Agents (with MCP)
4. The Future of Agents

The accompanying slides and code are available in GitHub: github.com/ed-donner/action

Jon Krohn is co-founder and CEO of Y Carrot, a software firm that specializes in designing and implementing agentic AI systems for enterprises. He also serves as ML Practice Fellow at Lightning AI and is the host of SuperDataScience, the data science industry’s most listened-to podcast. He wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He lectures at leading universities (Columbia, NYU), keynotes at top global conferences (Web Summit, Collision) and presents content on Bloomberg TV that’s viewed by millions. Jon holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010.

Ed Donner is renowned for his teaching on LLMs and agentic AI via O'Reilly and Udemy. He’s the co-founder and CTO of Nebula.io, the platform that uses generative AI and other forms of machine learning to source, understand, engage and manage talent. Previously, Ed was the founder and CEO of AI startup untapt, an Accenture Fintech Innovation Lab company that was acquired in 2020. Before that, Ed was a Managing Director at JPMorgan Chase, leading a team of 300 software engineers in Risk Technology across three continents, the culmination of a 15-year technology career on Wall Street. Ed holds a patent for a deep learning matching engine issued in 2023 and a master's in physics from Oxford.

This high-quality footage was shot live during a packed house at the Open Data Science Conference (ODSC) East in Boston on May 14th, 2025. The director of photography was Lucie McCormick and media editor was Mario Pombo.

Two bonus goodies below:

Follow this link to get Ed's 17-hour "Complete Agentic AI Engineering Course" on Udemy at a discounted rate (as well as coupon links to all of his Udemy courses): https://edwarddonner.com/2025/....05/28/connecting-my-

Use this link to skip the waitlist for Lightning AI Studios and get 15 free GPU-compute credits every month: https://lightning.ai/?inviteCo....de=Agentic-AI-worksh

This course, from Rola Dali, PhD, provides a comprehensive overview of agentic AI, defining agents as software entities that use LLMs to perceive environments, make decisions, and execute actions to achieve specific goals. It explores the critical distinction between static workflows and dynamic agentic systems, emphasizing how LLMs serve as a reasoning "brain" to decompose tasks at runtime. Through practical Python demonstrations, the course covers essential components like system prompts, tools, and memory, while also comparing architectural patterns such as Supervisor and Swarm. Finally, the session addresses the future of technology by discussing emerging interoperability protocols like MCP and the shifting paradigms of software development in an AI-driven world.

Slides and Labs: https://github.com/rdali/ML105_Agents

Profile: https://www.linkedin.com/in/roladali/

❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp

⭐️ Contents ⭐️
- 0:00:00 Introduction and Speaker Background
- 0:01:15 A Brief History of Artificial Intelligence (1940s–Present)
- 0:05:43 Traditional Machine Learning vs. Generative AI
- 0:06:35 The Three Pillars of AI: Algorithms, Data, and Compute
- 0:11:08 Specific Tasks vs. General Task Execution
- 0:14:41 Defining Agency and the Spectrum of Autonomy
- 0:18:00 Agentic Milestone Timeline (2017–2026)
- 0:20:31 What is a Generative AI Agent?
- 0:23:04 Agents vs. Workflows: Dynamic Flow vs. Static Paths
- 0:26:18 Pros and Cons of Agentic Systems
- 0:29:59 Patterns and Anti-patterns: When to Use Agents
- 0:32:36 The Core Components of an Agent
- 0:34:55 Choosing the Right LLM for Your Agent
- 0:37:38 Crafting Identity with System Prompts
- 0:39:00 Understanding Memory: Intrinsic, Short-term, and Long-term
- 0:41:26 Enhancing Capabilities with Tools and Actions
- 0:43:09 Hands-on Implementation: From Single LLM Call to Python Agent
- 0:52:18 Adding Memory and History to Your Custom Agent
- 0:54:53 Building Agents with Frameworks (LangChain)
- 0:57:17 The Evolving Landscape of Models and Frameworks
- 1:00:15 Agentic Architectural Patterns: Supervisor vs. Swarm
- 1:01:41 Case Study: Single Agent vs. Supervisor Architecture
- 1:04:48 Deep Dive: Swarm Architecture Performance
- 1:06:08 When to Choose Multi-agent Systems
- 1:09:05 Interface Protocols: MCP, A2A, and AGUI
- 1:12:06 How to Evaluate Agentic Systems (LLM vs. System vs. App)
- 1:13:53 Evaluation Methods: Code-based, LLM-as-a-Judge, and Human
- 1:15:25 Current Challenges: Hallucinations, Cost, and Debugging
- 1:18:15 Real-world Incidents and the AI Incident Database
- 1:21:28 Career Impact: Which Jobs are Most at Risk?
- 1:23:41 Software 3.0: The Evolution of Development Paradigms
- 1:29:00 Weathering the Storm: Strategies for the Future
- 1:33:40 Beyond LLMs: World Models and the Future of AMI
- 1:37:15 Recommended Resources and Closing Thoughts

🎉 Thanks to our Champion and Sponsor supporters:
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🔥Enroll for Agentic AI Course: https://intellipaat.com/agenti....c-ai-systems-design-

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Master the future of AI with this complete Agentic AI Full Course for Free 2026 covering AI Agents, LangChain, RAG, Embeddings, MCP, Large Language Models, and Agentic AI Design Patterns. This course is designed for beginners, developers, and AI enthusiasts who want to understand how autonomous AI systems work and how modern AI applications are built. 🚀

In this Agentic AI Full Course for Free 2026, you’ll learn the difference between Generative AI and Agentic AI, explore powerful AI frameworks, and understand concepts like embeddings, LLMs, RAG Agents, and Model Context Protocol through detailed explanations. The course follows a practical learning approach to help you build a strong foundation in AI engineering and intelligent automation.

Whether you want to start your AI journey, upgrade your development skills, or explore the next generation of AI systems, this Agentic AI Full Course for Free 2026 gives you a complete roadmap to mastering AI agents and real-world AI workflows. Don’t forget to like, share, and subscribe for more AI tutorials and tech content.

📖 Below are the concepts covered in the video on "Agentic AI Full Course":
00:00:00 – Introduction to Agentic AI Course
00:01:18 – Generative AI vs Agentic AI
00:10:57 – What is a Generative AI System?
01:03:48 – What is LangChain
01:23:32 – AI Agents
01:41:50 – Agentic AI Design Patterns
02:33:37 – Agentic Frameworks & Basics
04:34:25 – Embeddings
05:05:53 – Large Language Model
06:54:04 – RAG Agent
07:52:06 – Model Context Protocol

#agenticai #artificialintelligence #ai #machinelearning #datascience #aitrends #futureofai #aiagents #langchain #intellipaat


➡️ About the Course
The Agentic AI Systems & Design course by Intellipaat is an advanced program focused on building autonomous AI agents that can plan, reason, and execute tasks using tools like APIs, coding environments, and web search. Unlike traditional Generative AI courses, this program goes beyond prompt-based outputs and teaches you how to design production-grade AI systems capable of independent decision-making and complex problem-solving. It is ideal for professionals such as data scientists, AI/ML engineers, and developers who want to move from basic AI usage to creating intelligent, real-world applications powered by agentic workflows

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at [email protected] or call us at IND: +91-7022374614 / US : 1-800-216-8930

Everyone is talking about AI agents and almost nobody can tell you what one actually is. Ask someone to explain the difference between an agent and ChatGPT and you get hand-waving. In this video I explain every single piece of a real AI agent in plain English — and then prove it by building one from scratch, live, using open source tools.

Want to LEARN how to build useful AI agents that actually get things done? Go here: https://aiagentbuilders.co/yt

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🎞 Video Resources 🎞
TrueForge Github : https://github.com/truefoundry/trueforge
TrueForge Docs: https://trueforge.dev/introduction
TrueForge Benchmarking Article : https://www.truefoundry.com/bl....og/engineering/truef

⏳ Timestamps ⏳
00:00 | Overview
01:07 | AI Model vs AI Agent
02:27 | 1. Harness
03:40 | 2. MCP Servers
04:45 | 3. Skills
05:36 | 4. Sandbox
06:41 | 5. The Production Layer
08:03 | Building Agents
16:55 | Deploying an Agent
17:52 | Benchmarks & Speed

Hashtags
#AIAgents #HowAIWorks #TrueForge

UAE Media License Number: 3635141

Thanks to Microsoft for sponsoring this video! Submit your #CodingWithCopilot stories so I can review them! I'm excited to check out more!

Today I'll be showing you how to build local AI agents using Python. We'll be using Ollama, LangChain, and something called ChromaDB; to act as our vector search database. All of this will be local and free to run.

🎞 Video Resources 🎞
Code in this Video: https://github.com/techwithtim/LocalAIAgentWithRAG
Ollama Library: https://ollama.com/library
Download Ollama: https://ollama.com/
Virtual Environments Video: https://www.youtube.com/watch?v=Y21OR1OPC9A
Ollama Video: https://www.youtube.com/watch?v=UtSSMs6ObqY&t=1s

⏳ Timestamps ⏳
00:00 | Video Overview
00:34 | Project Demo
02:02 | Python Setup/Installation
04:33 | Ollama Setup
07:14 | GitHub Copilot
08:22 | Local LLM Usage
14:52 | Vector Store Database Setup
23:24 | Connecting LLM & Vector Store

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You can build an entire team of AI agents — and it's way easier than you think. In this video, I show you how to build your first AI agent from scratch using Hyperagent (built by the team behind Airtable). No code, no complicated setup.

I walk through the one pattern every good agent is built on: solve the problem yourself first in a normal conversation, then turn that solution into an agent that does it on repeat, forever. By the end, you'll have a real agent connected to your actual tools, running on a schedule, handing you finished work while you sleep.

📂 Every prompt from this video + templates: https://www.skool.com/ai-launchpad/about

Chapters:
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01:23 - Chatbot vs. Agent
02:00 - The one pattern
02:43 - Connect your tools
03:29 - Solve the problem first
05:56 - Turn it into an Agent
07:04 - Building a skill
09:01 - Building a second agent
10:39 - Command Center
12:05 - The Recap

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In this video, I break down how I built an AI agent in 14 minutes as a beginner in 2026, showing a simple and practical workflow anyone can follow. You’ll learn how to build an AI agent step by step, including a beginner-friendly AI agent tutorial and how tools like n8n AI agent setups can be used to automate real tasks. Whether you're new to automation or exploring how modern AI agent systems work, this guide shows you how to get started quickly and build your first working AI agent.

00:00 - Intro: Building a Functional AI Agent in 14 Minutes
00:58 - Free AI App & Business Masterclass
01:37 - What is Base44? The No-Code AI Powered App Builder
02:16 - Getting Started: Dashboard Overview and Prompt Interface
02:48 - Understanding the Base44 Credit-Based Pricing Model
03:38 - Project Setup: Building a Full-Stack Task Management App
04:12 - Core Roadmap: Forms, Databases, and AI Agent Logic
05:23 - Feature 1: Building the Core Task Creation System
06:17 - The Exact AI Prompt for App Foundation & List View
07:16 - How to Build and Scale Profitable AI Businesses
08:25 - Feature 2: Adding Filters, Sorting, and Kanban Boards
09:38 - The Exact AI Prompt for App Organization & UI
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17:27 - Conclusion: Shifting from Writing Infrastructure to Building Products

For inquiries: Mikey (at) ytmedia.group

Learn the MERN stack (MongoDB, Express, React, Node.js) in this crash course for beginners. Here are some of the topics you will learn about:
- Backend CRUD
- Backend Router
- CORS Policy
- MongoDB operations
- Frontend CRUD
- Frontend Router

💻 Code: https://github.com/mohammad-ta....heri1/Book-Store-MER

✏️ Course developed by @DevEmpower

⭐️ Contents ⭐️
⌨️ (00:00) Intro
⌨️ (01:10) Create Node.js project from scratch
⌨️ (03:39) Create our first Http Route
⌨️ (06:01) Add MongoDB and mongoose to node js
⌨️ (08:52) Create Book model with mongoose
⌨️ (10:53) Save a new Book with mongoose
⌨️ (13:31) Get All Books with mongoose
⌨️ (15:08) Get One Book by id with mongoose
⌨️ (16:29) Update a Book with mongoose
⌨️ (18:36) Delete a book with mongoose
⌨️ (20:09) Refactor Node js with express router
⌨️ (22:23) CORS policy in Node js and Express js
⌨️ (25:21) Create React project, Vite, Tailwind CSS
⌨️ (27:41) SPA and Add react router dom
⌨️ (29:52) Show Books List in React
⌨️ (35:39) Show Book Details in React
⌨️ (39:02) Create Book in React
⌨️ (42:02) Edit Book in React
⌨️ (44:27) Delete Book in React
⌨️ (46:35) Show Books List as Card
⌨️ (52:30) Make Book Card a single component
⌨️ (54:08) Add Book Modal
⌨️ (58:06) Improve User Experience (UX) with beautiful alert
⌨️ (1:01:43) Outro

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
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👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

Basic Javascript lessons 1-5 FreeCodeCamp.org odhinsWell

In my video today I am working through FreeCodeCamp.orgs basic java script lessons 1-5.

I am very excited to be doing this course and learning all this amazing knowledge and to be sharing it with you.

00:00 Introduction
00:11 Basic JS
01:01 Lesson 1 - Commenting
02:53 Lesson 2 - Declaring Variables
05:12 Lesson 3 - Assigning Variabls
07:06 Tea (yum yum)
08:10 Lesson 4 - Assign Value Of Var To Anther Var
09:32 Lesson 5 - Declare & Assign At The Same Time
11:20 Outro & Bloopers

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Redux: Send Action Data to the Store.

Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

Наши предки уже испытывали на себе последствия взрывов сверхновых и гиперновых? И что будет, если в космических окрестностях Земли на днях взорвётся ещё что-нибудь?

Взрывы сверхновых — одни из самых мощных во Вселенной. Огромное количество материи и излучения разлетается во все стороны со скоростью, близкой к скорости света. О том, что произойдёт, если на пути этого потока высокоэнергетических частиц окажется Земля, Дерек Маллер отвечает в своём новом видео.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Игорь Тирский
Озвучка: Дмитрий Чепусов, Алексей Никитин
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Ira Kozlovskaya, Amir, JIukaviy, Куляш, Dmitrii Komarevtsev, Мikhail Samin, Roman Inflianskas, Oleg Zingilevskiy, Alena, Vitaliy Vachynyuk, Ника Калмыкова, opperatius, Aleksandr P., Pavel Parpura, Katoto Chan, Anton Bolotov, Anatoly Ressin, Eugene Tsaplin, angel, Artem Amirbekov, Victor Cazacov, Kirill Zaslavskii, Vladyslav Sokolenko, Alexander Balynskiy, Dzmitryi Halyava, Ihar Marozau, Kseniya Stukova, POD666, Aleksei Shabalin, Irina Shakhverdova, Vadim Velicodnii, David Malko, Nastya, Evgeny Vrublevsky, Stanislav Obrazcoff, Kirill Vedensky, Валентин Матвейчик, Leonid Steinberg, Alexander Goida, Katya Ma, Morock_D, Sergey P, Ilya, Oleksandr Hrebeniuk, Сергей Платоненко, Валентин Ильин, Владимир Ямщиков, Мария Зверева, Адам Шифф, Rashn, Nikrodol, Lexx, Rincewind, Alexander Lebedev, Roman Gelingen, Sonra44, Сергей Клопов, Ranis Zaripov, Timophey Popov, MaximML , Rekvet, Илья Зверев, Никита Омельницкий, Timur Rahmatulin, Иван Новиков, Арс Ник, Anton G, Dmitry Perekalin, Vadim, Владимир Авдиев, Точка Зрения, SpireX, Maxim Khaustov, Р Ч.

#VertDider #Veritasium

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© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/evUfG3lrk5U

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В университете штата Мичиган под руководством Ричарда Ленски проходит самый продолжительный за всю историю эксперимент по изучению эволюции. Уже 35 лет 12 популяций кишечной палочки (E. coli) живут в комфортных и неизменных лабораторных условиях, но, вопреки ожиданиям даже самого профессора, продолжают эволюционировать и обретать новые полезные для выживания свойства. О том, как устроен эксперимент и чем примечательны его результаты, расскажет Дерек Маллер в новом видео Veritasium.

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Гор Гиноян
Озвучка: Дмитрий Чепусов, Юрий Катарманов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

#Veritasium #VertDider

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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/w4sLAQvEH-M

People don’t understand the scale of the Universe. There’s a data driven way to read the news: go to https://ground.news/veritasium to get 30% off the Vantage plan and see through sensationalized reporting.

If you’re looking for a molecular modeling kit, try Snatoms – a kit I invented where the atoms snap together magnetically – https://ve42.co/SnatomsV


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A huge thank you to Dr. Ashmeet Singh for his expert feedback on this video.


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References:
Fun video by RealLifeLore about the scale of the Universe - https://www.youtube.com/watch?v=Iy7NzjCmUf0&pp=ygUkcmVhbCBsaWZlIGxvcmUgc2NhbGUgb2YgdGhlIHVuaXZlcnNl
Moon Facts via NASA - https://ve42.co/NASAMoon
Titan Facts via NASA - https://ve42.co/Titan
Mercury Facts via NASA - https://ve42.co/Mercury
Why Pluto is no Longer a Planet, BBC News via YouTube - https://www.youtube.com/watch?v=iIk29MnzZWA&pp=ygUYcGx1dG8gbm8gbG9uZ2VyIGEgcGxhbmV0
Pluto, Wikipedia - https://ve42.co/WikiPluto
Eris, Wikipedia - https://ve42.co/WikiEris
Brown, M. E., & Schaller, E. L. (2007). The mass of dwarf planet Eris. Science, 316(5831), 1585-1585. - https://ve42.co/Brown2007
Trans-Neptunian object, Wikipedia - https://ve42.co/WikiTNO
IAU 2006 General Assembly Press Release, via IAU - https://ve42.co/IAU2006
Solar System Moons via NASA - https://ve42.co/NASAMoons
Solar System Asteroids via NASA - https://ve42.co/Asteroids
Solar System, Wikipedia - https://ve42.co/WikiSolarSystem
How many stars are in the Universe via ESA - https://ve42.co/ESAStars
Catalog of Exoplanets via exoplanet - https://ve42.co/ExoplanetCatalog
Crowther, T. W., Glick, H. B., Covey, K. R., Bettigole, C., Maynard, D. S., Thomas, S. M., ... & Bradford, M. A. (2015). Mapping tree density at a global scale. Nature, 525(7568), 201-205. - https://ve42.co/Crowther2015
Galaxy, Wikipedia - https://ve42.co/WikiGalaxy
Counting Galaxies with the Hubble Space Telescope via NASA - https://ve42.co/CountingGalaxies
Conselice, C. J., Wilkinson, A., Duncan, K., & Mortlock, A. (2016). The evolution of galaxy number density at z8 and its implications. The Astrophysical Journal, 830(2), 83. - https://ve42.co/Conselice2016
Sagan, C., & Druyan, A. (2011). Pale blue dot: A vision of the human future in space. Ballantine books.

Images & Video:
Clip of Titan’s Surface, NASA via YouTube - https://www.youtube.com/watch?v=xn3-0a19sC8
Clips of Pluto Had it Coming, The Late Show with Stephen Colbert via YouTube - https://www.youtube.com/watch?v=5nqT7XrYRPc
Image of Solar System Objects - https://ve42.co/SolarSystemObjects


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Special thanks to our Patreon supporters:
Adam Foreman, Anton Ragin, Balkrishna Heroor, Bill Linder, Blake Byers, Burt Humburg, Chris Harper, Dave Kircher, David Johnston, Diffbot, Evgeny Skvortsov, Gnare, John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Max Paladino, Meekay, meg noah, Michael Krugman, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures


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Directed by Casper Mebius
Written by Casper Mebius and Derek Muller
Additional research & fact checking by Gregor Čavlović
Edited by Peter Nelson
Animated by Ivy Tello and Alondra Vitae
Filmed by Derek Muller, Raquel Nuno and Zyan Treadwell
Produced by Derek Muller, Casper Mebius and Han Evans

Additional video/photos supplied by Getty Images, StoryBlocks and by courtesy of NASA, NASA's Goddard Space Flight Center/SDO, NASA JPL, NASA/JPL-Caltech NASA GSFC, NASA HQ, NASA's Scientific Visualization Studio, NCSA, A. Kritsuk, M. Norman

Music from Epidemic Sound
Thumbnail by Peter Sheppard