Learn how to use AI tools to become more productive as a developer.

You will master AI pair programming and agentic terminal workflows using top-tier tools like GitHub Copilot, Anthropic's Claude Code, and the Gemini CLI. The course also covers open-source automation with OpenClaw, teaching you how to set up a highly customizable, locally hosted AI assistant for your development environment. Finally, you will learn how to maintain high code quality and streamline your team's workflow by integrating CodeRabbit for automated, AI-driven pull request analysis.

Some of this course is based on this article from Mrugesh Mohapatra: https://www.freecodecamp.org/n....ews/how-to-become-an

CodeRabbit provided a grant to make this course possible.
Try out CodeRabbit: https://coderabbit.link/fcc

Contents
- 0:00:00 Introduction to AI-Assisted Development
- 0:00:42 Core Fundamentals: Tokens, Context Windows, and Hallucinations
- 0:05:48 When to Use AI vs. When to Code Manually
- 0:06:57 Setting Up GitHub Copilot in VS Code
- 0:09:42 Copilot Pricing and Plans
- 0:10:18 First Steps: Ghost Text and Code Completions
- 0:13:40 Pro Tip: The Neighboring Tabs Trick
- 0:15:52 Practice Exercise: Building a To-Do App
- 0:17:15 Interaction Modes: Ask, Edit, and Agent Mode
- 0:21:44 Agent Mode: Building a Full REST API Autonomously
- 0:24:52 Repository Customization with Instruction Files
- 0:26:34 Using Participants and Slash Commands
- 0:28:34 Automated Code Reviews with CodeRabbit
- 0:30:57 Setting Up CodeRabbit for GitHub Repositories
- 0:32:03 Simulating Real-World PR Reviews and Security Fixes
- 0:37:33 Chatting with AI Directly in Pull Requests
- 0:41:12 Configuring CodeRabbit Behaviors (.yaml)
- 0:41:58 Local Reviews via the CodeRabbit CLI
- 0:48:13 Powerful Terminal AI: Claude Code vs. Gemini CLI
- 0:49:12 Claude Code: Reasoning, Thinking Modes, and Fixes
- 0:53:02 Gemini CLI: Million-Token Context and Multimodal Features
- 0:57:01 OpenClaw: Your Open-Source Personal AI Assistant
- 1:01:01 Automating Tasks with Cron Jobs and Desktop Actions
- 1:03:33 Orchestrating Your AI Workflow
- 1:08:27 Model Context Protocol (MCP): Giving AI Real-World Tools
- 1:12:40 AI Code Quality and Security Essentials
- 1:15:03 The Formula for Better Prompt Engineering
- 1:16:13 Course Recap and Final Resources

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

// NEWSLETTER //
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// BUSINESS INQUIRIES //
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// SOCIALS //
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Discord: https://discord.gg/2ByMHqTNca

// TOOLS/THINGS I REALLY LIKE //
If you wanna build 10x developer level projects check out CodeCrafters (40% off):
https://app.codecrafters.io/jo....in?via=TheCodingSlot
If you want to build an awesome newsletter like Sloth Bytes I use beehiiv (20% off):
https://www.beehiiv.com?via=the-coding-sloth

(some of these links are affiliates, so I'll earn some money which supports the channel!)

Build your own functional AI coding agent from the ground up using Python and the free Gemini Flash API. This project-based tutorial provides a deep understanding of how powerful AI tools work by guiding you through the creation of an agentic loop powered by tool calling. You will implement the core abilities for your agent to interact with and modify a codebase, including reading files, writing to files, and executing code to get feedback.

Lane Wagner created this course.

Check out the interactive version of the course on boot.dev: https://www.boot.dev/courses/build-ai-agent-python

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

⭐️ Contents ⭐️
- 00:00:00 Introduction
- 00:01:14 Why Build an AI Agent?
- 00:01:49 Course Overview & What We're Building
- 00:02:25 How to Follow Along
- 00:03:47 What is an AI Agent? (Agentic Loops & Tool Calling)
- 00:06:03 The Agent's Four Tools
- 00:07:58 Prerequisites & Project Goals
- 00:10:08 Demo: Agentic vs. One-Shot Responses
- 00:13:07 Python Project Setup with UV
- 00:15:44 Getting Started with the Gemini API
- 00:19:21 Making Your First API Call
- 00:24:44 Accepting Command-Line Arguments
- 00:27:46 Managing Conversation History
- 00:30:39 Adding a Verbose Flag for Debugging
- 00:33:35 Setting Up the Project for Our Agent (Calculator App)
- 00:36:23 Building Tool #1: Get Files Info
- 00:49:39 Building Tool #2: Get File Content
- 00:58:24 Building Tool #3: Write File
- 01:05:26 Security Note: Dangers of Running AI-Generated Code
- 01:07:30 Building Tool #4: Run Python File
- 01:18:00 Understanding the System Prompt
- 01:33:10 How Tool Calling Works: Declaring Functions for the LLM
- 01:41:38 Adding All Function Declarations
- 01:49:19 Implementing the Function Calling Logic
- 01:57:30 Creating the Agentic Loop
- 02:07:11 Final Demo: Agent Fixes a Bug Autonomously
- 02:13:44 Conclusion & Next Steps

🎉 Thanks to our Champion and Sponsor supporters:
👾 Drake Milly
👾 Ulises Moralez
👾 Goddard Tan
👾 David MG
👾 Matthew Springman
👾 Claudio
👾 Oscar R.
👾 jedi-or-sith
👾 Nattira Maneerat
👾 Justin Hual

--

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

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

In this video we will discuss about the differences between generative ai vs agentic ai vs AI agents.
Agentic AI is an AI system that acts autonomously, adapts in real time, and solves multi-step problems based on context and objectives.
-----------------------------------------------------------------------------------------------------
Join our 2.0 Live Agentic AI With MCP Batch starting from May 10th 2025
Course Enrollment Link: https://www.krishnaik.in/livec....lass/2.0%20Live%20Ag
Reach out to Krish Naik's counselling team on 📞 +919111533440 or +91 87885 03778 in case of any queries we are there to help you out.

Start building AI apps for free with lovable and use code TINA20YT for a 20% discount at https://dub.link/tina-yt
🤖 Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp

🤝 Business Inquiries: https://tally.so/r/mRDV99

In this video I show you how to build your first AI agent in 26 minutes using no code and n8n.

🖱️Links mentioned in video
========================
n8n Metaprompt: hhttps://docs.google.com/docume....nt/d/1OoWDiwsr9zjCoo

🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/lea....rn-sql-for-data-scie

365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)

Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina

🎥 My filming setup
========================
📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk

⏰Timestamps
========================
00:00 — Intro
00:24 — What is an AI Agent?
02:16 — Quiz 1
02:34 — Building An AI Research/Learning Agent in n8n
15:28 — Agent Guardrails & Error Handling
20:03 — Agent Orchestration
24:15 — Deploying the AI Agent
24:44 — Final Result
26:20 — Quiz 2

📲Socials
========================
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
tiktok: https://www.tiktok.com/@hellotinahuang
discord: https://discord.gg/5mMAtprshX

🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmk

How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s

🐈‍⬛🐈‍⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!

📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: [email protected]

========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)

The complete Claude AI tutorial for 2026 — covering every major feature from the free basics to the agentic tools most people never reach. If you want to know how to use Claude AI properly, this is the full picture.
Most tutorials stop at the chat window. This one covers all three tiers: free features, Pro capabilities, and the agentic tools that let Claude work through files, write code, and take action on your behalf.

In this video you'll learn:
✅ The three Claude models and when to use each one
✅ How to set up Memory, Projects, Artifacts, and Custom Style
✅ How Connectors, Extended Thinking, and Research mode work
✅ What Claude Cowork, Claude Code, and Computer Use actually do
✅ Which plan you need and when it's worth upgrading

0:00 Intro
0:54 What Is Claude?
2:10 Level 1: Beginner Features - Claude Chat and Web Search
2:58 Artifacts Explained
3:34 Memory
4:50 Claude Projects
6:05 Custom Style
6:46 Level 2: Extended Capabilities Features
6:57 Connectors
7:47 Claude Skills
8:57 Extended Thinking
9:40 Research Mode
10:23 Level 3: Agentic Tools
10:37 Claude Cowork
11:19 Claude Code
12:23 Computer Use
12:50 Pricing Breakdown

VIDEOS MENTIONED:
📺 Claude Cowork full tutorial: https://youtu.be/CYfZBpvwrRA
📺 Claude Pricing breakdown: https://youtu.be/Sdewx3GpJ1Q
📺 Claude Skills explained: https://youtu.be/LmLu_-yc01w

🔔 Subscribe for weekly AI productivity tips: https://www.youtube.com/@AIPro....ductivityCoach?sub_c
📩 Free newsletter — practical AI tools and workflows every week:
https://aiproductivitycoach.com/subscribe/
💼 Work with me: https://aiproductivitycoach.co....m/productivity-coach

#ClaudeAI #AIProductivity #ClaudeTutorial

As AI agents become more capable, the skills needed for AI jobs are shifting. Bri Kopecki breaks down the 7 skills you need to move from prompt engineering to full agent engineering, including system design, retrieval, reliability, and security. Learn how to build AI agents that actually work in production 🚀.

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/Bdpm3C

#aiagents #aiengineering #aiskills

✅ Best AI Agent Tool is Base44 https://mikeyno-code.com/video112

✅ Claim your FREE $499 Masterclass: Build & Sell Apps, AI Agents & Websites with AI https://mikeyno-code.com/Skool-base44

🔵 Get the FREE App Store Submission Checklist (step by step): https://mikeyappchecklist.netlify.app/

In this video, I break down a complete AI agent tutorial for beginners in 2026, explaining what is an AI agent and how it works. You’ll learn how to build an AI agent step by step, including how to build an AI agent for free using modern tools and workflows, plus how AI automation fits into building smarter systems. Whether you're looking for a practical AI agent course or want to understand how to make an AI agent for free, this guide covers everything you need to get started.

00:00 - Intro: Why AI Agents are the Future of Productivity
00:54 - Personal Assistant: Monitoring Email & WhatsApp Updates
01:33 - Getting Started: Creating Your Free Base44 Account
02:21 - Dashboard Tour: Understanding Apps vs. Superagents
03:16 - The Employee Mindset: Setting Up Background AI Work
03:31 - Building Phase: Creating Your First AI Superagent
04:13 - Prompting Mastery: Building an Email Monitoring Agent
04:59 - Connectivity: Authorizing Gmail & Google Permissions
05:50 - The Brain Tab: Controlling Your Agent’s Identity & Personality
07:39 - The Soul: Defining Decision-Making Rules for AI
08:48 - Knowledge Base: Uploading Documents & Reference Files
09:45 - Memory Systems: How Your Agent Builds Context Over Time
10:45 - Integrations Hub: Connecting Slack, Calendar & Drive
12:05 - Chat Interface: Communicating with Your AI Assistant
13:30 - Voice Interaction: Using the Microphone Command Feature
14:37 - Tasks & Automation: Scheduled vs. Event-Triggered Workflows
16:13 - External Tools: Mastering OAuth & API Connections
18:47 - Security: Managing Secrets and API Keys Safely
19:28 - WhatsApp Integration: Chatting with AI from Your Phone
21:18 - API Access: Connecting Your Agent to External Systems
22:16 - Monetization: Setting Up Stripe & Payment Integration
23:19 - Real-World Flow: Automated Email Response Drafting
24:44 - Slack Optimization: Summarizing Busy Workspace Activity
26:00 - Reporting: Generating Automated Daily Activity Summaries
27:21 - Business Use Case: Customer Support Automation
28:19 - Prompt Frameworks: Writing Instructions That Get Results
29:44 - Credit Management: Understanding Usage and Costs
30:24 - Troubleshooting: Fixing Active Tasks & Connections
31:10 - Outro: Future-Proofing Your AI-Powered Business

For inquiries: Mikey (at) ytmedia.group

https://www.hostinger.com/makefirstmillion10
Coupon Code: MAKEFIRSTMILLION


🔗 Enroll in the AI Institute (Aaghaz):
🌐 https://www.aaghaz.ai

Timestamps:

00:00 Intro
00:03:21 Basics of AI Agents & Automations
00:08:24 Auto Email Reply System
00:40:32 Inventory Management System
01:25:20 Jarvis System-Voice Command
02:25:54 Website Downgrade or Upgrade Management
02:33:36 AI Voice Calling Agent
03:56:39 Selling Psychology
04:23:32 Outro


In this video, Badar Munir founder of Make First Million and creator of Aaghaz – Asia’s First AI Startup & AI Master Institute, shares how smart people are preparing for the AI era — and why mastering AI Agent is becoming essential for every professional.

This is not theory — you will learn the real AI-first mindset, how to create custom GPT assistants, and how students, freelancers, founders, and professionals are using AI as a growth weapon, not just a tool.

AI Full Crash Course for Beginners (Urdu-Hindi) | Learn AI & ML

📲 Follow on Instagram:
👉 Make First Million
https://www.instagram.com/make.first.million/
👉 Aaghaz AI
https://www.instagram.com/aaghaz_ai/

Music used in this video:

Track: Awaken
Artist: Alex-Productions (Aylex)
Music provided by: https://onsound.eu/
Watch: https://youtu.be/aqLUvpAdLNQ
License: Creative Commons Attribution 3.0 (CC BY 3.0)

Music: Awaken by Alex-Productions / alexproductionsmusic
License: Creative Commons — Attribution 3.0 Unported — CC BY 3.0
Free Download / Stream: https://audiolibrary.com.co/alex-prod...
Music promoted by Audio Library: • Ambient, Piano, Instrumental No Copyright ...

Music: Awaken by Alex-Productions / alexproductionsmusic
License: Creative Commons — Attribution 3.0 Unported — CC BY 3.0
Free Download / Stream: https://www.audiolibrary.com.co/alex-...
Music promoted by Audio Library: • Ambient · Piano · • Ambient, Piano, Instrumental No Copyright ...
––––––––––––––––––––––––––––––

Track: Odyssey
Artist: Savfk
Channel: www.youtube.com/@SavfkMusic
Music promoted by: https://www.free-stock-music.com
License: Creative Commons Attribution 4.0 International (CC BY 4.0)

🔥Enroll for Agentic AI Course: https://intellipaat.com/agenti....c-ai-systems-design-

🔥𝐁𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: https://forms.gle/g5tExa7e54xpYZW97

Learn Agentic AI from scratch with this complete course covering the fundamentals, architecture, frameworks, and real-world concepts behind modern AI agents. Start by understanding the difference between Generative AI and Agentic AI, explore how Generative AI systems work, and learn the fundamentals of LangChain, AI Agents, and Agentic AI Design Patterns.

This course also covers Agentic Frameworks, Embeddings, Large Language Models (LLMs), and RAG Agents, helping you understand how AI systems can retrieve information, reason over context, and perform tasks autonomously. You’ll also learn about Model Context Protocol (MCP) and its role in connecting AI models with external tools and data sources.

Whether you’re a developer, AI/ML enthusiast, or someone looking to build the next generation of intelligent applications, this Agentic AI course gives you a structured foundation to understand and build AI agents. Follow the timestamps below to jump directly to the topic you want to learn.

📖 Below are the concepts covered in the video on "Agentic AI Full Course":
00:00:00 – Introduction to Agentic AI Course
00:00:37 – Generative AI vs Agentic AI
00:10:16 – What is a Generative AI System?
01:03:07 – What is LangChain
01:22:51 – AI Agents
01:41:09 – Agentic AI Design Patterns
02:32:56 – Agentic Frameworks & Basics
04:33:44 – Embeddings
05:05:12 – Large Language Model
06:53:23 – RAG Agent
07:51:25 – Model Context Protocol

#agenticai #learnagenticai #agenticaifullcourse #completeagenticaicourse #agenticai2026 #intellipaat #live

➡️ 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

🌟 Build Your Command Center in Notion - https://www.pressplay.cc/link/s/F8236D6B

Create your first AI agent in three simple steps using n8n! This tutorial shows you how to create an automated subscription tracker that processes natural language input and updates Google Sheets automatically.

You'll learn to configure the agent's brain (chat model and memory), connect tools like Google Sheets, and write system prompts that control agent behavior. Perfect for non-technical users ready to transition from using AI tools to actually building with them.

*TIMESTAMPS*
00:00 Build Your First AI Agent
00:29 Refresher on AI Agents
01:20 Getting Started on n8n
02:54 Why Bother?
03:32 Step 1: Building the Brain
08:21 Step 2: Connecting the Tools
10:38 Step 3: Activating the Brainstem
12:21 Testing our AI Agent
14:56 Beyond the Basics

*RESOURCES MENTIONED*
OpenAI API Setup: https://platform.openai.com/
ChatGPT System Prompt Template: https://www.jeffsu.org/build-y....our-first-ai-agent-i
Notion Command Center System: https://www.pressplay.cc/link/s/F8236D6B

*BUILD A POWERFUL WORKFLOW*
🦾 AI Systems Academy - https://systemsacademy.ai/?utm_source=youtube&utm_medium=video&utm_campaign=186
📈 The Workspace Academy - https://academy.jeffsu.org/workspace-academy?utm_source=youtube&utm_medium=video&utm_campaign=186
✍️ My Notion Command Center - https://www.pressplay.cc/link/s/DE1C4C50

*BE MY FRIEND:*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
📸 Instagram - https://instagram.com/j.sushie
🤝 LinkedIn - https://www.linkedin.com/in/jsu05/

*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
🎒 Everyday Carry - https://www.jeffsu.org/my-edc/

#aiagents #ai #automation

Most people think they understand AI, but they only understand the part where you type something into ChatGPT and it types something back. The gap between that and building an actual agent that can go do work for you is enormous.

In this video, I break down the entire AI stack in 30 minutes. We start with how large language models actually work, then climb through transformers, context engineering, RAG, reasoning models, and finally the most important distinction in AI right now: the difference between a model and an agent. A model thinks. An agent thinks and acts.

By the end, you'll understand how these systems work better than 95% of people posting about AI on the internet.

Chapters:

00:00 – The Gap Nobody Tells You About
01:51 – How LLMs Actually Work
05:04 – The Transformer Architecture
08:42 – BERT vs GPT History
09:41 – Modalities and Multimodal Models
12:03 – Prompt to Context Engineering
16:45 – RAG Explained
20:21 – Reasoning Models
21:22 – Model vs Agent
22:27 – The ReAct Pattern
23:10 – Agentic Design Patterns
24:13 – AI Evaluations
26:43 – The Gen Academy
29:43 – Closing

You’re right—that last version had titles only. Here’s a fully linkified, copy‑paste‑ready description block.


Resources mentioned in the video (and more to explore):

👉 Join Mastering Agentic AI Certification by The Gen Academy (Aug & Oct Cohort)
https://maven.com/aishwarya-sr....inivasan/mastering-a
Use code: SAVE20 for 20% discount

👉 My videos to watch next

→ Vector Databases Explained – deep dive on embeddings & storage
https://youtu.be/4pUYfY-b5CQ?si=Y3VdR5CmKTBlQwew

→ RAG Explained
https://youtu.be/v0ynfDPpe4E?si=qxCk6LHLHEcW0cCH

👉 Mastering Claude Cowork (~2 hour lightning lesson - 12,000+ people have attended)
https://maven.com/p/6f5db3/mas....tering-claude-cowork

👉 Agentic AI Foundations

→ Anthropic: Building Effective Agents
https://www.anthropic.com/rese....arch/building-effect

→ OpenAI: A Practical Guide to Building Agents
https://openai.com/business/gu....ides-and-resources/a

→ OpenAI Agents SDK
https://developers.openai.com/....api/docs/guides/agen

→ OpenAI Agents SDK Python Docs
https://openai.github.io/opena....i-agents-python/agen

👉 Agent Design Patterns

→ ReAct: Synergizing Reasoning and Acting in Language Models
https://arxiv.org/abs/2210.03629

→ Google Research Blog on ReAct
https://research.google/blog/r....eact-synergizing-rea

→ Reflexion: Language Agents with Verbal Reinforcement Learning
https://arxiv.org/abs/2303.11366

👉 MCP and Agent Interoperability

→ Anthropic: Introducing the Model Context Protocol
https://www.anthropic.com/news..../model-context-proto

→ Model Context Protocol GitHub
https://github.com/modelcontextprotocol

→ Google: Agent2Agent Protocol
https://developers.googleblog.....com/en/a2a-a-new-era

→ A2A Protocol GitHub
https://github.com/a2aproject/A2A

👉 Context Engineering for Agents

→ Anthropic: Effective Context Engineering for AI Agents
https://www.anthropic.com/engi....neering/effective-co

→ Anthropic: Code Execution with MCP
https://www.anthropic.com/engi....neering/code-executi

→ Anthropic: Writing Effective Tools for Agents
https://www.anthropic.com/engi....neering/writing-tool

👉 My Related Resources

→ Designing Agentic AI Systems
https://aishwaryasrinivasan.su....bstack.com/p/designi

→ All you need to know about AI agent frameworks
https://substack.com/@aishwary....asrinivasan/note/p-2

🔥Enroll for Agentic AI Course: https://intellipaat.com/agenti....c-ai-systems-design-

🔥𝐁𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: https://forms.gle/g5tExa7e54xpYZW97

Learn Agentic AI from scratch with this complete course covering the core concepts, frameworks, and technologies powering modern AI agents. Begin with the fundamentals of Generative AI vs Agentic AI, understand how Generative AI systems work, and explore LangChain, AI Agents, and Agentic AI Design Patterns.

Go deeper into Agentic AI Frameworks, Embeddings, Large Language Models (LLMs), and RAG Agents to understand how intelligent systems process information, retrieve relevant context, and perform tasks. The course also introduces Model Context Protocol (MCP) and its importance in connecting AI models with external tools, applications, and data.

Whether you’re a beginner exploring Agentic AI or a developer looking to build AI-powered applications, this course provides a structured foundation to understand the concepts and technologies behind AI agents. Use the timestamps below to navigate through each topic and learn at your own pace.

📖 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 #AIAgents #LangChain #RAG #LLM #ArtificialIntelligence #GenerativeAI #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

A lot of people think an AI agent is just a large language model wrapped in a chat interface. But when you move from a local demo to a real application, that assumption breaks down completely. A true agent is a production software system that can reason over a goal, retrieve context, maintain state, and trigger real actions through APIs.

In this video, I break down Agent AI System Design from a builder's perspective. We cover the exact architecture required to make single and multi-agent systems reliable, cost-aware, and safe enough to connect to real external tools. You will learn how to properly route models to save costs, structure your tool contracts, separate workflow state from long-term memory, and implement critical approval gates. By the end, you will have a practical mental model for building production-grade systems that users can actually rely on.

👉 Mastering Agentic AI Certification
Our August cohort now has fewer than 10 seats remaining, and we are currently offering 15% off with the code FLASHSALE15.
Register here: https://maven.com/aishwarya-sr....inivasan/mastering-a

👉 AI for Forward-Deployed Engineers Workshop
Our workshop is filling up very quickly. We currently have a limited-time 50% discount, so if you have been wanting to understand one of the fastest-growing roles in AI and learn how to build customer-facing AI solutions, now is the best time to register.

Register here: https://maven.com/aishwarya-sr....inivasan/ai-for-forw

👉 You can also check out our one-hour-long FREE Agentic AI System Design masterclass: https://maven.com/p/4c948b/age....ntic-ai-system-desig

CHAPTERS
0:00 The Demo vs. Production Reality
1:49 What is an Agent AI System?
2:12 Single Agent vs. Multi-Agent Systems
3:57 Building Block 1: The Model Layer and Routing
5:39 Building Block 2: Tool Contracts and Boundaries
7:37 Building Block 3: Memory vs. Workflow State
9:57 Building Block 4: Orchestration and Control Flow
12:23 Building Block 5: Trace-Level Evaluations
15:16 Building Block 6: Approval Gates and Policy Controls
17:03 Production Principle 1: Reliability and Fallbacks
18:42 Production Principle 2: Cost and Latency
20:42 Production Principle 3: Context and Retrieval Design
22:20 Production Principle 4: Observability, Security, and Privacy
25:33 Go Deeper with Gen Academy

📚 Resources to Watch Next
* AI Agents Explained: https://youtu.be/TZMdEg1ZoIo?si=xolifmjybYclpNZ-
* Single Agent vs. Multi-Agent Systems: https://youtu.be/-zBbij9rrEI?si=n0B9kG0XH9U0CQeV
* Deep Dive on AI Evaluations: https://youtu.be/_Er8Hao_gmQ?si=KNKjGEJrS7dkU6RF

Subscribe for deep dives into production-grade AI engineering, architecture breakdowns, and practical career strategies. Drop your system design questions in the comments below. I read and answer as many as I can!

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The AI Agents Full Course 2026 by Simplilearn starts with an introduction to AI Agents, their environments, and the Agentic AI roadmap, before moving into hands-on learning like building AI agents without code. It then explores core technologies including Natural Language Processing, multimodal AI, RAG (Retrieval-Augmented Generation), and Agentic AI workflows. Learners practice through n8n, LangGraph, LangChain, Firebase Studio, MCP, and Claude Code tutorials, alongside comparisons like Gemini CLI vs Claude Code. The course also introduces voice agents, Generative AI agents, DeepSeek R1, Meta’s LLaMA 3.2, and Manus AI. Finally, it covers practical applications and strategies to make money with AI agents, preparing learners for both technical mastery and real-world opportunities.

Following are the topics covered in the AI Agents Full Course 2026:

00:00:00 - Introduction to AI Agents Full Course 2026
00:02:15 - AI Agents Tutorial
00:35:58 - Agentic AI Roadmap
00:51:07 - AI Agents and Environments
00:56:29 - How to Build AI Agents Without Code
01:13:47 - Natural Language Processing Tutorial
01:46:36 - n8n Tutorial
01:59:42 - Agentic AI Workflow
03:30:02 - Build AI Agents From Scratch
03:53:44 - Langraph Tutorial
04:08:44 - What Are Gen AI Agents
04:26:50 - How to Build AI Voice Agents
04:49:18 - Langchain Explained
04:59:54 - Multimodal AI
05:05:31 - Build Agentic Rag
06:04:10 - MCP Tutorial
06:26:54 - Claude Code Tutorial for Beginners
06:41:16 - Germini CLI vs Claude Code
06:57:25 - Firebase Studio
07:10:02 - Manus AI
07:22:24 - Introduction to LLM
07:28:24 - Deepseek R1
07:44:29 - Install Deepseek
07:55:42 - Meta New Lama 3.2
08:04:00 - Make Money With AI Agents

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

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➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone

👉 Learn More At: https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=yMot_Z9yjZ8&utm_medium=Description&utm_source=Youtube

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Two years ago, I taught myself how to build no-code AI automations with zero technical background. Today, I’ve built multiple AI businesses, generated over $5M in revenue and helped companies, from startups to NBA teams, integrate powerful AI systems. In only 100 minutes, I break down what AI Automations are, how they work and the most popular tools to develop them. You'll find some of the most sold use cases like AI lead qualifiers, voice agents, and proposal generators. This is the exact course I wish existed when I started.

Timestamps:
0:00 - Introduction
2:26 - Why Learn AI Automation?
4:49 - What is AI Automation?
9:21 - The AI Automation Landscape
12:10 - Anatomy of an Automation
15:48 - Exploring the Ecosystem
19:01 - Foundations Recap
23:45 - What We're Building
29:00 - Build #1
51:34 - Build #2
1:22:09 - Build #3
1:30:36 - Troubleshooting & Tips
1:36:55 - How to Sell AI Automations