Welcome To The Course (1:22)
What Is An AI Agent? (2:13)
General vs Task-specific Agents (2:39)
Where Agents Run / Execute (2:07)
AI Agent Harnesses, LLMs & Limitations (3:25)
How Agents Use Tools (5:15)
Understanding Session Context (2:17)
Core AI Agent Building Blocks - Overview (2:25)
AI Agents vs AI Workflows (2:18)
Using & Steering AI Agents
Module Introduction (0:57)
Three Main Ways For Controlling AI Agents You Should Know (0:49)
Managing Agent Tools & The Environment (3:42)
Choosing The Right Model (1:17)
Understanding Developer-provided System Instructions (1:39)
Providing Your Own Instructions & Understanding AGENTS.md / CLAUDE.md (3:29)
Understanding Agent Skills (8:28)
Understanding Agent Memory (3:23)
Sometimes Important: Humans In The Loop (2:57)
Building Agents & Workflows - An Overview
Module Introduction (0:36)
Options For Building Agents & Workflows (2:46)
WHO Builds It, WHERE Does It Run? (3:36)
Options When Building WITH Code (0:52)
Choosing Your Agent Building Blocks (1:56)
Building AI Workflows & Applications
Module Introduction & Expectations (1:35)
Building Workflows - The Basics (1:20)
Workflows vs Agents (2:39)
Building Visually with n8n - First Steps (2:38)
Running a Demo n8n Project Locally (1:41)
Exploring n8n & Its Workflow Builder (6:44)
Exploring & Understanding a Realistic Workflow (4:24)
Onwards To A Code-based Solution (3:15)
Exploring & Understanding A Code-based Workflow (6:20)
Module Summary (1:11)
Building AI Workflows & Applications [LEGACY]
About This LEGACY Section
Module Introduction (2:21)
No Code vs With Code (2:07)
Building AI Apps & Using AI Programmatically (4:12)
Proprietary vs Open (Local) LLMs (5:51)
Using Open LLMs
Understanding Our Development Environment (2:29)
Creating a New Python Project (using "uv") (1:43)
OpenAI Setup & Pricing (5:41)
Getting Started With A First Example Workfl
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