Autoplay
Autocomplete
Previous Lecture
Complete and Continue
AI Agents & Workflows - The Practical Guide
Getting Started
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 Workflow (2:44)
Preparing HTTP Requests For The OpenAI API (8:40)
Choosing & Using a Model (2:04)
Prompt Engineering (4:35)
Extracting & Using the LLM Response (4:50)
More on the OpenAI API & SDK
Code Deep Dives vs Provided Code Snippets
Use Those Docs! (1:38)
Using The OpenAI Python SDK (5:49)
Leveraging Few-Shot Prompting (4:02)
Generating Prompts Dynamically With Dynamic Content (2:12)
Building Multi-Step & Multi-Model Workflows (6:47)
Workflows vs Agentic Systems (1:34)
Using Locally Running Open Models via Ollama (8:08)
Enforcing & Using Structured Outputs (10:53)
More On JSON Schemas & Structured Outputs
Structured Outputs via SDK & Pydantic (3:56)
Using Prompt Engineering To Control Output
Onwards To Another Example (5:38)
Generating Images In a Workflow (6:27)
Controlling Workflow Execution with Control Flow Adjustments (2:45)
Control Flow In Action (8:42)
Adding a "Human In The Loop" (6:51)
Integrating External Services - Example: Slack (6:21)
Important: Potential Problems & Security Risks
Build AI Agents
Module Introduction & Expectations (1:55)
Setting Up & Starting the n8n Demo Project Server (3:08)
Creating Agents Visually With n8n (3:42)
Understanding Tools & The Agent Harness (in n8n) (2:51)
Running The n8n Agent (2:45)
Finding Key Agent Building Blocks in n8n (0:59)
Onwards To Code-based Agents! (3:53)
Defining Tools As Functions (2:26)
Analyzing The Agent Loop (3:23)
How The Agent Learns About Tools & Behaves Correctly (6:03)
Using Provider-native Tooling To Make Things Easier (5:14)
Onwards To A General Agent (1:43)
Analyzing Tools, Instructions & Context Engineering For A General Agent (6:19)
Demo: Using The General Agent (3:15)
Analyzing An Example Sandbox Implementation (2:44)
Adding A Human To The Agent Loop (2:35)
How Agent Execution Is Constrained (3:21)
Building AI Agents [LEGACY]
About This LEGACY Section
Module Introduction (1:36)
How LLMs (Do Not) Use Tools (6:04)
Implementing Tool Use From Scratch (11:24)
Using OpenAI's Function Calling Feature (10:23)
Building a Multi-Tool Versatile Agent (11:16)
Using Advanced AI Models
Building Reusable Elements With Classes (7:53)
Getting Started with a Multi-Agent System (7:14)
Extracting Website Content
Building & Connecting Specialized Agents (10:24)
Universal vs Specialized Agents (3:38)
Agent Memory: Short-Term & Long-Term (5:21)
Wrap Up (1:09)
Build Agents With Frameworks - With "eve"
Module Introduction (0:52)
Library & Framework Options - An Overview (0:58)
Libraries vs Frameworks (2:33)
An Introduction To The "eve" Framework (2:23)
Diving Into An "eve" Project (2:53)
Configuring Tools For The "eve" Agent (2:32)
Connecting The Agent To A Knowledge Base & Skills (3:52)
Seeing The "eve" Agent In Action (3:58)
Deep Dive: Connecting Slack As A Channel (9:06)
More On Tunnels / cloudflared
Onwards To CrewAI (0:34)
Using CrewAI: A Third-Party AI Agents SDK
Module Introduction (2:36)
Getting Started With CrewAI (4:56)
Understanding CrewAI Agents (5:53)
Using CrewAI Tasks (3:25)
Adding Tools To Agents (4:14)
Running The Crew (3:11)
Roundup
Course Roundup (1:10)
Core AI Agent Building Blocks - Overview
Lecture content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock