Complete Agentic AI Course - AI Agents, RAG, Embeddings, Architectures, Framework, VectorDB & Memory #aiagents #agenticai #aiforbeginners #learnai #ai #2026

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🤖 Learn Agentic AI — AI Agents Explained (A Complete Powerful Course to Master It)

This is the most comprehensive Agentic AI course you'll find — completely FREE. We go from the absolute ground up — AI basics, LLMs, the Agent loop — all the way to Vector Databases, RAG, MCP, Multi-Agent Systems, and real architectures being used in production RIGHT NOW in 2026.

Whether you're a total beginner or someone who's used AI tools but never truly understood them — this video is built for you.

📌 WHAT YOU'LL LEARN IN THIS VIDEO:

✅ What AI actually is — and the 3 eras that brought us here
✅ How Transformers & the Attention Mechanism changed everything (2017 → now)
✅ How LLMs generate text — tokens, temperature, and context windows explained
✅ The EXACT difference between a Chatbot and a true AI Agent
✅ The Core Agent Loop (Perceive → Think → Act → Observe) broken down simply
✅ The ReAct Pattern — how agents reason before every single action
✅ Tools & Function Calling — how agents interact with the real world
✅ Memory systems — Sensory, Working, Episodic, and Semantic memory
✅ RAG (Retrieval-Augmented Generation) — the most important AI dev concept right now
✅ Vector Databases — Pinecone, Weaviate, Qdrant, Chroma & when to use each
✅ Embeddings & Semantic Search — the math made simple
✅ MCP (Model Context Protocol) — the "USB port" for AI, explained clearly
✅ 6 Agentic Architectures — ReAct, Chain-of-Thought, Plan-and-Execute, Tree of Thoughts, Reflexion & LATS
✅ Multi-Agent Systems — Orchestrator-Worker, Parallel, Debate Pattern & more
✅ Frameworks — LangChain, LlamaIndex, AutoGen, CrewAI
✅ Advanced patterns — Self-Modifying Agents, Stochastic Consensus, Iceberg Technique, 60-30-10 Cost Rule
✅ Safety & Guardrails — Prompt Injection, Scope Creep, Human-in-the-Loop & more
✅ Real-world use cases across Enterprise, Healthcare, Finance, Education & Dev
✅ A step-by-step 10-week roadmap to go from zero to building production agents

💡 Key Insight:

A chatbot reacts. An AI Agent plans, decides, acts, and adapts — all on its own. Understanding that difference is worth everything in today's AI landscape.

Related Topics :-

Agentic AI, AI agents explained, how AI agents work, what is an AI agent, AI agents 2026, learn AI agents, build AI agents, agentic AI course for beginners, AI agents for beginners, master AI agents, complete agentic AI course, AI Fundamentals, LLMs explained, AI agent loops, AI memory systems, AI tools, RAG explained, vector databases explained, Embeddings explained, MCP explained, AI architecture patterns, agentic architecture, AI frameworks and advanced patterns, multi-agent systems, AI safety, AI guardrails, tejas ai, tejas_aiz, ai 2026, 2026 etc.

- Tejas AI

Try out Junie: https://jb.gg/JunieAI-coding

AI is alright if you have a brain. AI can give good sloppy.

This video is sponsored by JetBrains.

// USEFUL AI RESOURCES //
MCPs: https://mcpmarket.com/server
AGENTS.MD: https://agents.md/#examples
Claude prompting best practices: https://platform.claude.com/do....cs/en/build-with-cla
OpenAI prompting best practices: https://help.openai.com/en/art....icles/6654000-best-p

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Learn the essential AI concepts and basics. We will cover theory and also go over code for building agents. We will cover both no-code tools (Zapier, N8N) and coding frameworks (langchain etc.) for building agents.


Code and assignment: https://resources.codebasics.io/GPpiop

Build your first agent using Zapier: https://youtu.be/Jekzc6BM5_w?si=tHrbHGBPJ8mmJqZv

Air canada chatbot case: https://www.forbes.com/sites/m....arisagarcia/2024/02/

Codebasics AI engineering cohort: https://resources.codebasics.io/RjnPLS

⭐️ Timestamps ⭐️
0:00 Intro
1:01 What is an AI Agent?
7:48 ReAct Loop
8:19 Multi-Agent System
9:07 Multimodal Agent
10:02 Two ways of creating agents
12:30 Workflow vs Agents
13:37 Autonomy and Guardrails
16:12 Evaluation
19:38 Assignment PDF

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

🎥 Codebasics Hindi channel: https://www.youtube.com/channe....l/UCTmFBhuhMibVoSfYo

#️⃣ Social Media #️⃣

🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk
📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/
📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/
📱 Dhaval's X handle : https://x.com/dpcodebasics

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📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/
📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/

📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/
📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalcodebasics

🔗 Patreon: https://www.patreon.com/codeba....sics?fan_landing=tru

Learn more: https://stanford.io/4iHlGQp

Build modern AI agents with Stanford's graduate-level curriculum, adapted for working professionals.

Taught by Stanford Adjunct Professor Chowdhery and Assistant Professor Mirhoseini, this Agentic AI program takes you beyond basic LLM prompting to agents that reason, plan, use tools, and improve themselves through interaction with their environment.

What you'll learn:
- Design agentic systems for complex, multi-step real-world tasks
- Apply test-time scaling to boost LLM performance
- Use self-improvement methods: verifiers, feedback loops, RL, and search
- Build agents that use tools and take actions effectively
- Add retrieval and long-term memory to LLMs
- Develop planning and multi-step reasoning
- Evaluate agent performance with robust frameworks

Drawing on Stanford research and the latest advances in the field.

About the Instructors
Stanford Engineering Adjunct Professor Dr. Aakanksha Chowdhery led end-to-end training of the 540B PaLM model (the largest densely trained language model in the world at the time) and drove pre-training and scaling of Gemini's mixture-of-experts models. Stanford Assistant Professor Azalia Mirhoseini co-developed the MoE architectures now used in nearly every frontier model, created AlphaChip (the RL method behind Google's TPU designs), and pioneered LLM test-time scaling; she worked on both Claude and Gemini.

Welcome to chai aur code, a coding/programming dedicated channel in Hindi language. Now you can learn best of programming concepts with industry standard practical guide in Hindi language.

All source code is available at my Github account:
https://github.com/hiteshchoudhary

Our Open-Source Project is here: https://freeapi.app

Join me at whatsapp: https://hitesh.ai/whatsapp

for community discord: https://hitesh.ai/discord

Instagram pe yaha paaye jaate h:
https://www.instagram.com/hiteshchoudharyofficial/

HTML video series: https://www.youtube.com/watch?v=XmLOwJHFHf0&list=PLu71SKxNbfoDBNF5s-WH6aLbthSEIMhMI

Complete javascript series: https://www.youtube.com/watch?v=Hr5iLG7sUa0&list=PLu71SKxNbfoBuX3f4EOACle2y-tRC5Q37

Complete Reactjs series: https://www.youtube.com/watch?v=vz1RlUyrc3w&list=PLu71SKxNbfoDqgPchmvIsL4hTnJIrtige

Javascript and react interview series: https://www.youtube.com/watch?v=1wqCyz7XrV4&list=PLu71SKxNbfoCy_MsA98SBfvUKF5eQit6L

Backend development with Javascript: https://www.youtube.com/watch?v=EH3vGeqeIAo&list=PLu71SKxNbfoBGh_8p_NS-ZAh6v7HhYqHW

Python Series: https://www.youtube.com/watch?v=Ca5DLSDfPec&list=PLu71SKxNbfoBsMugTFALhdLlZ5VOqCg2s

Checkout the roadmap: https://www.krishnaik.in/ai-roadmaps
Agentic AI involves creating autonomous systems that use Large Language Models (LLMs) to plan, reason, and act to achieve goals, rather than just generating content. To learn this, focus on mastering frameworks like LangGraph, CrewAI, and AutoGen to build multi-agent workflows, and focus on agentic RAG for data access. Key skills include planning, tool usage, and human-in-the-loop interaction.
----------------------------------------------------------------------------------
Learn from me and my team
visit : https://krishnaik.in/liveclasses

Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdbhXe

Learn more about Agentic AI here → https://ibm.biz/BdbhXb

Ever hit a wall with your biggest LLM? 🚧 Shad Griffin shows how Agentic AI, AI agents, and prompt engineering turn complex problems into smart, multi‑step solutions powered by machine learning. Discover how this workflow helps developers build more accurate AI results.

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

#agenticai #llm #aiagents #promptengineering #machinelearning

Learn more about AI Code-Generation Software here → https://ibm.biz/BdpBwX

Is AI-assisted coding the future? 🤔 Cedric Clyburn explores spec-driven development, a game-changing approach that combines LLMs with software development best practices. Learn how it differs from vibe coding, integrates SDLC principles, and improves coding workflows with requirements-driven precision. 🚀

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

#aicoding #llms #aiassisted

Learn Agentic AI using a popular framework langgraph. In this agenti ai tutorial for beginners, we will start with agentic AI basics and then we will dive deeper into langgraph by covering a wide range of topics.

👉 Check out PyCharm, the IDE built for data science and AI/ML professionals: https://jb.gg/try-pycharm-now

👉 Download PyCharm and use it for free forever, plus a one-month Pro subscription is included.

Code: https://github.com/codebasics/....langgraph-crash-cour

00:00 Introduction
00:40 Agentic AI Basics
00:00 What is Langgraph
07:41 Langchain vs Langgraph
13:08 Installation and Setup
19:00 Simple Graph
31:36 Graph with Condition
36:55 Chatbot in Langgraph
45:38 Chatbot with Tool
56:03 Memory
1:05:05 Tracing with Langsmith
1:10:11 Human in the Loop

Do you want to learn technology from me? Check https://resources.codebasics.io/rS9B09 for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

🎥 Codebasics Hindi channel: https://www.youtube.com/channe....l/UCTmFBhuhMibVoSfYo

#️⃣ Social Media #️⃣

🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk
📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/
📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/

------

📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/
📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/

📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/
📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/

🔗 Patreon: https://www.patreon.com/codeba....sics?fan_landing=tru

Learn in-demand Machine Learning skills now → https://ibm.biz/BdK65D
Learn about watsonx → https://ibm.biz/BdvxRj

Large language models-- or LLMs --are a type of generative pretrained transformer (GPT) that can create human-like text and code. There's a lot of talk about GPTs and LLMs lately, but they've actually been around for years! In this video, Martin Keen briefly explains what a LLM is, how they relate to foundation models, and then covers how they work and how they can be used to address various business problems.

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdK65X

#llm #gpt #gpt3 #largelanguagemodel #watsonx #GenerativeAI #Foundationmodels

🚀 Complete Agentic AI Course for Beginners in Telugu

Code files:
LangGraph code:
https://drive.google.com/file/....d/1l6N1T06ghWX-PpTSR

CrewAI code:
https://drive.google.com/file/....d/13QghlEBku_OCM5kYi

In this 3-hour full course, you will learn Agentic AI from scratch and understand how to build your own AI Agents step by step.

This course is explained in Simple Telugu and is perfect for beginners who want to learn modern AI Agent development.

What You Will Learn

✅ What is an AI Agent?
✅ AI Agent vs Chatbot
✅ How AI Agents think, plan, use tools and complete tasks
✅ LangGraph explained with practical workflow
✅ MCP — Model Context Protocol
✅ A2A — Agent-to-Agent Protocol
✅ CrewAI multi-agent systems
✅ OpenAI Agents SDK overview
✅ How to build AI Agents from scratch
✅ Real-world Agentic AI use cases

Topics Covered

🤖 AI Agents
🔷 LangGraph
🔗 MCP
🤝 A2A Protocol
👥 CrewAI
⚡ OpenAI Agents SDK
🧠 Agentic AI Architecture
💻 Practical AI Agent Projects

If you want to learn AI, Machine Learning, Generative AI and Agentic AI in Simple Telugu, subscribe to AI School of India.

Let’s make AI learning simple and practical 🚀

Hashtags

#AgenticAI #AIAgents #LangGraph #CrewAI #MCP #A2A #OpenAIAgentsSDK #GenerativeAI #ArtificialIntelligence #AIinTelugu #AISchoolOfIndia #MachineLearning #DataScience

A sampling video of 4K underwater footage.
Filmed in Tulamben, Bali in Indonesia, Anilao in Philippines and Maldives.
Music licensed through The Music Bed.
4K UHD original resolution available for licensing.
http://ejlabs.net

Get started with Snyk's MCP today: https://snyk.plug.dev/ZlOH7qR
---

Opencode is different, because it's built for YOU. It's not affiliated with one provider or another, and let's you use its internal router to make sure you get the latest and greatest, always.

✅ Build a Second Brain With Neovim in Under 90 Minutes: https://learn.dotb.sh/courses/second-brain-neovim

✅ Zero To KNOWING Kubernetes in Under 90 Minutes:
https://learn.dotb.sh/courses/k8s-from-scratch
❗Use `devopstoolbox20` at checkout for 20% off!

⌨️ The keyboard on this video is the Dygma Defy: http://dygma.com/DEVOPSTOOLBOX
🎹 Keycaps on my Defy are made by 3DKeyCaps: https://3dkeycap.com/?ref=vxdqqmmo
⚡ Tech I use: https://kit.co/omerxx/my-battle-station

Next: Your first AI Employee: https://youtu.be/jYbzKYwdy24

In this video, I break down what Agentic AI really is, beyond the hype and buzzwords. While most people think of AI as just chatbots like ChatGPT, the next evolution - Agentic AI - is quietly transforming how we interact with technology.

I explain in simple terms how Agentic AI systems can actually take initiative, complete complex tasks autonomously, and solve problems without constant human guidance. You'll understand the key differences between reactive AI tools and truly agentic systems that can plan, adapt, and achieve goals.

Whether you're a developer, business leader, or just curious about AI's future, this concise explanation gives you the foundation to understand why Agentic AI represents such a significant leap forward in artificial intelligence.

#AgenticAI #ArtificialIntelligence #AIExplained #FutureOfAI #AgentBasedAI #AITechnology #TechTrends #MachineLearning #BusinessAI #AIAgents

Palo Alto Networks Senior Vice President for Unit 42 Wendi Whitmore joins Caroline Hyde and Ed Ludlow to discuss ChatGPT's latest bugs and the cybersecurity concerns surrounding OpenAI's product. Plus, a look at cybersecurity trends from Palo Alto Network's latest report.
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AI robots, with Elon Musk, Ameca, Boston Dynamics. To learn more about AI, please visit https://brilliant.org/digitalengine where you'll also find loads of fun courses on maths, science and computer science.

Here's the first video on our new channel, Go Rogue:
https://youtu.be/k07unSpmBSg

Thanks to Brilliant for sponsoring this video.

To stay at the stunning Appleby Castle: http://applebycastle.org

For custom nerf blasters: https://outofdarts.com

Please don't feel anxious about this - the AI in this video obviously isn't dangerous (GPT-3 isn't conscious). I'm optimistic that the future of AI will be great (if we're careful).

Sources:

Here are the records for the original GPT-3 chat (screenshots and a video to avoid any doubt). I've marked the words from Elon Musk and Ameca on the first page (which I gave the AI to respond to in the previous video):
https://www.dropbox.com/sh/82i....wek5rnofmrn2/AADM4WO

Tesla's AI day 2, introducing the Tesla Optimus robot:
https://www.youtube.com/watch?v=ODSJsviD_SU&t=1198s

Researchers from Oxford University and DeepMind on AI risks:
https://onlinelibrary.wiley.co....m/doi/10.1002/aaai.1

Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action:
https://arxiv.org/abs/2207.04429

Einstein was wrong about black holes, what else? Use code veritasium at the link below to get an exclusive 60% off an annual Incogni plan: https://incogni.com/veritasium

A massive thank you to Prof. Geraint F. Lewis and Prof. Juan Maldacena for their expertise and help with this video.

A huge thank you to those who helped us understand this complicated topic: Dr. Suddhasattwa Brahma, Prof. Carlo Rovelli, Dr. Hal Haggard, Prof. Martin Bojowald, Dr. Francesca Vidotto, Prof. Andrew Hamilton, and Dr. Carl-Fredrik Nyberg Brodda.

A special thanks to Alessandro Roussel from ScienceClic for his spectacular simulations and feedback on the video. Check out his channel here: https://ve42.co/ScienceClic

An excellent book on this topic and an inspiration for this video: Cox, B., & Forshaw, J. (2023). Black holes: the key to understanding the universe.

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Special thanks to our Patreon supporters! Join the community to help us keep our videos free, forever: https://ve42.co/PatreonDE

Adam Foreman, Anton Ragin, Balkrishna Heroor, Bertrand Serlet, Bill Linder, Blake Byers, Burt Humburg, Chris Harper, Dave Kircher, David Johnston, Evgeny Skvortsov, Garrett Mueller, Gnare, gpoly, I. H., John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Kyi, Lee Redden, Marinus Kuivenhoven, Martin, Matthias Wrobel, Max Paladino, Meekay, meg noah, Michael Krugman, Orlando Bassotto, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, Toni , TTST, Ubiquity Ventures, wolfee

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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References:
Thorne, K. (1995). Black Holes & Time Warps: Einstein's Outrageous Legacy.
Relativity Playlist by ScienceClic - https://ve42.co/SCPlaylist
Hamilton, A. J. S. (2021). General Relativity, Black Holes, and Cosmology - https://ve42.co/Hamilton2021
Black Hole Events by PBS Space Time - https://youtu.be/vNaEBbFbvcY?l....ist=PLsPUh22kYmNBl4h
Newton’s Letters via The Newton Project - https://ve42.co/NewtonMail
Einstein, A. (1915). Die feldgleichungen der gravitation. - https://ve42.co/Einstein1915
Why Time and Space Swap by ScienceClic - https://youtu.be/GQZ3R81iyE0
Schwarzschild, K. (1916). Über das Gravitationsfeld eines Massenpunktes nach der Einsteinschen Theorie. - https://ve42.co/Schwarzschild1916
Wali, K. C. (1982). Chandrasekhar vs. Eddington—an unanticipated confrontation. - https://ve42.co/Wali1982
How to Build a Black Hole by PBS Space Time - https://www.youtube.com/watch?v=xx4562gesw0
Oppenheimer, J. R., & Volkoff, G. M. (1939). On massive neutron cores. - https://ve42.co/TOVLimit
Oppenheimer, J. R., & Snyder, H. (1939). On continued gravitational contraction. - https://ve42.co/Oppenheimer1939
Schwarzschild Geometry by Andrew Hamilton - https://ve42.co/SchwarzGeom
Why all world maps are wrong by Vox - https://www.youtube.com/watch?v=kIID5FDi2JQ
Hamilton, A. J., & Lisle, J. P. (2008). The river model of black holes. - https://ve42.co/HamiltonLisle2008
Mapping The Multiverse by PBS Space Time - https://www.youtube.com/watch?v=4v9A9hQUcBQ
Rotating black hole via Wikipedia - https://ve42.co/WikiRBH
Wormhole Travel by PBS Space Time - https://www.youtube.com/watch?v=ldVDM-v5uz0
Morris, M. S., & Thorne, K. S. (1988). Wormholes in spacetime and their use for interstellar travel. - https://ve42.co/MorrisThorne1988

Images & Video:
D3 Geo Projection Library by Mike Bostock https://ve42.co/d3geo
Interrupted Maps by Jason Davies https://ve42.co/DaviesMaps
Kazmierczak, J. et al. (2021). NASA’s NICER Tests Matter’s Limits. - https://ve42.co/NasaNICER
Bridgman, T. et al. (2024). M5.1 flare 'Double Whammy', at Active Regions 13559 and 13561. NASA SVS. - https://ve42.co/NasaFlare
Schnittman, J. et al. (2019). Black Hole Accretion Disk Visualization. - https://ve42.co/NasaAccrDisk
Wiessinger, S. et al. (2020). A Decade of Sun. NASA SVS. - https://ve42.co/NasaSunDecade
Skelly, C. et al. (2017). What is a Neutron Star? NASA SVS. - https://ve42.co/NasaNeutron
What would we see if we fell into a black hole by ScienceClic - https://youtu.be/4rTv9wvvat8
Earth texture - https://ve42.co/NASAEarth
First image of Sgr A* - https://ve42.co/EHT1
Image of M87 - https://ve42.co/EHT2
Polarized light image of Sgr A* - https://ve42.co/EHT3

▀▀▀
Directed by Casper Mebius
Written by Casper Mebius, Derek Muller and Will Wood
Edited by Trenton Oliver
Animated by Fabio Albertelli, Ivy Tello, Mike Radjabov, David Szakaly, Jonny Hyman, and Alessandro Roussel
Illustrated by Jakub Misiek
Filmed by Derek Muller
Additional research by Gregor Čavlović
Produced by Casper Mebius, Derek Muller, Will Wood, Giovanna Utichi, Rob Beasley Spence, Gregor Čavlović, and Emily Taylor

Thumbnail contributions by Jakub Misiek, Ren Hurley and Peter Sheppard
Additional video/photos supplied by Getty Images, Storyblocks, and NASA SVS
Music from Epidemic Sound