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Agentic AI Inception
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TED
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HubSpot - INBOUND
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TED
What is Agentic AI?
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IBM Technology
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Google Cloud Tech
Large Language Models
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Andrej Karpathy
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Stanford Online
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IBM Technology
Agentic AI Overview (Stanford)
Building Agents
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AI Engineer
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AI Engineer
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AI Engineer
Model Context Protocol
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IBM Technology
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AI Engineer
Free Courses at DeepLearning.AI
1:
Multi AI Agent Systems with CrewAI
→ Intro to multi-agent systems
Instructor: João Moura
2:
Practical Multi AI Agents and Advanced Use Cases with CrewAI
→ Builds on foundational CrewAI skills
Instructor: João Moura
3:
AI Agents in LangGraph
→ LangGraph’s execution model + architecture
Instructors: Harrison Chase, Rotem Weiss
4:
Long-Term Agentic Memory with LangGraph
→ Advanced memory handling for agents
Instructor: Harrison Chase
5:
AI Agentic Design Patterns with AutoGen
→ Design and coordination best practices
Instructors: Chi Wang, Qingyun Wu
6:
Evaluating AI Agents
→ Measurement and performance evaluation
Instructors: John Gilhuly, Aman Khan
7:
Event-Driven Agentic Document Workflows with LlamaIndex
→ Automate document workflows with RAG + agents
Instructor: Laurie Voss
8:
Build Apps with Windsurf's AI Coding Agents
→ Code generation agents in practice
Instructor: Anshul Ramachandran
9:
Building Code Agents with Hugging Face
→ Explore Hugging Face's agent capabilities
Instructors: Thomas Wolf, Aymeric Roucher
10:
Building AI Browser Agents
→ Web-interacting agents
Instructors: Div Garg, Naman Garg
11:
DsPy: Build and Optimize Agentic Apps
→ Pythonic framework for optimizing agents
Instructor: Chen Qian
12:
MCP: Build Rich-Context AI Apps with Anthropic
→ Anthropic’s take on context-rich agents
Instructor: Elie Schoppik
13:
Semantic Caching for AI Agents using Redis
Instructors: Tyler Hutcherson, Iliya Zhechev
14:
Governing AI Agents
Instructor: Amber Roberts
With: DataBricks
Tags: Agentic AI,YouTube Academy,
Multi AI Agent Systems with CrewAI
→ Intro to multi-agent systems
Instructor: João Moura

2:
Practical Multi AI Agents and Advanced Use Cases with CrewAI
→ Builds on foundational CrewAI skills
Instructor: João Moura

3:
AI Agents in LangGraph
→ LangGraph’s execution model + architecture
Instructors: Harrison Chase, Rotem Weiss

4:
Long-Term Agentic Memory with LangGraph
→ Advanced memory handling for agents
Instructor: Harrison Chase

5:
AI Agentic Design Patterns with AutoGen
→ Design and coordination best practices
Instructors: Chi Wang, Qingyun Wu

6:
Evaluating AI Agents
→ Measurement and performance evaluation
Instructors: John Gilhuly, Aman Khan

7:
Event-Driven Agentic Document Workflows with LlamaIndex
→ Automate document workflows with RAG + agents
Instructor: Laurie Voss

8:
Build Apps with Windsurf's AI Coding Agents
→ Code generation agents in practice
Instructor: Anshul Ramachandran

9:
Building Code Agents with Hugging Face
→ Explore Hugging Face's agent capabilities
Instructors: Thomas Wolf, Aymeric Roucher

10:
Building AI Browser Agents
→ Web-interacting agents
Instructors: Div Garg, Naman Garg

11:
DsPy: Build and Optimize Agentic Apps
→ Pythonic framework for optimizing agents
Instructor: Chen Qian

12:
MCP: Build Rich-Context AI Apps with Anthropic
→ Anthropic’s take on context-rich agents
Instructor: Elie Schoppik

13:
Semantic Caching for AI Agents using Redis
Instructors: Tyler Hutcherson, Iliya Zhechev

14:
Governing AI Agents
Instructor: Amber Roberts
With: DataBricks


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