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Learn AI Agents

ScrimbaScrimba
Recommended
Meet Your Instructor
Bob Ziroll avatar

Bob Ziroll

Instructor

Head of Education at Scrimba. Passionate about learning and helping others achieve their career goals. Enjoys tennis, woodworking, and spending time with family.

1h 57m

Completion

Certificate included

Format

Interactive coding

Subscription

What You'll Learn

Understand the basics of AI agents and their core functions

Learn the principles of prompt engineering and apply them to create effective prompts

Control and format AI responses to meet specific requirements

Analyze the "ReAct" framework and understand its role in AI prompting

Build action functions to enhance agent functionality

Overview

This course will teach your the secrets behind building smarter and more capable AI agents. We'll guide you through the art of creating prompts that make your Large Language Models (LLMs) perform multiple steps and taking actions along the way. We'll start out going through the nuts and bolts of ReAct prompting, which is key to understanding how AI agents function under the hood. This subject blends psychology, computer science, and linguistics. But it's not all theory. You'll get your hands dirty with practical exercises. You'll construct ReAct prompts, understand the 'loop' for continuous, context-aware AI chats, and set up the code that brings these advanced conversations to life. This course isn't just about teaching AI to respond; it's about preparing you to build AI agents that interact with the world around them by invoking functions, and calling APIs. It's perfect for anyone keen on building next-generation user experiences powered by AI.

Table of Contents
1
AI Agent Intro2:58
2
Prompt Engineering 1015:51
3
Control Response Formats2:15
4
Zooming Out3:11
5
Agent Setup3:35
6
Introduction to ReAct prompting4:58
7
Build action functions3:36
8
Write ReAct prompt - part 1 - planning2:50
9
ReAct Agent - part 2 - ReAct prompt3:29
10
ReAct Agent - part 3 - how does the "loop" work?3:22
11
ReAct Agent - part 4 - code setup3:45
12
ReAct Agent - part 5 - Plan for parsing the response3:53
13
ReAct Agent - part 6 - Parsing the Action4:44
14
ReAct Agent - part 7 - Calling the function5:42
15
ReAct Agent - part 8 - Housekeeping3:11
16
ReAct Agent - part 9 - Finally! The loop!7:38
17
OpenAI Functions Agent - part 1 - Intro1:02
18
OpenAI Functions Agent - part 2 - Demo day1:57
19
OpenAI Functions Agent - part 3 - Tools6:28
20
OpenAI Functions Agent - Part 4 - Loop Logic1:42
21
OpenAI Functions Agent - Part 5 - Setup Challenge3:12
22
OpenAI Functions Agent - Part 6 - Tool Calls6:20
23
OpenAI Functions Agent - Part 7 - Pushing to messages4:22
24
OpenAI Functions Agent - Part 8 - Adding arguments6:49
25
OpenAI Functions Agent - Part 9 - Automatic function calls9:04
26
Adding UI to agent - proof of concept4:11
27
Solo Project - AI Travel Agent3:43
28
Nice work!3:11

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