Learn everything you need to create your own AI agents - from basic principles to practical implementation. We will cover how to design, configure, and launch agents that are capable of performing tasks, making decisions, and interacting with users.
AI Agents
3h 36m 22s
English
Paid
About the Author: Mckay Wrigley (takeoff)
I create and teach technologies in the field of artificial intelligence and am the founder of Takeoff. In 2019, I dropped out of college to study programming. I started experimenting with AI projects in 2020 when GPT-3 appeared. I became the first to create a monetized product using the OpenAI API in the same year. Since then, I have been developing AI-based products.
Watch Online 14 lessons
0:00
/ #1: 1.1 Overview
All Course Lessons (14)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | 1.1 Overview Demo | 12:23 | |
| 2 | 1.2 Installation | 03:03 | |
| 3 | 1.3 Setup | 07:45 | |
| 4 | 2.1 Short Term Memory Basics | 10:51 | |
| 5 | 2.2 Short Term Memory with Notepads | 11:32 | |
| 6 | 2.3 Long Term Memory Basics | 08:07 | |
| 7 | 2.4 Long Term Memory with Vector Databases | 23:26 | |
| 8 | 3.1 Function Call Lifecycle | 18:33 | |
| 9 | 3.2 The Function Call Schema | 13:05 | |
| 10 | 3.3 Single-Tool Agent | 12:01 | |
| 11 | 3.4 Prompting for Function Calls | 11:40 | |
| 12 | 3.5 Multi-Tool Agent | 17:01 | |
| 13 | 3.6 Tools with Memory | 17:21 | |
| 14 | 4.1 Making Agents Autonomous with Looping | 49:34 |
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