Build Autonomous AI Agents From Scratch With Python

Welcome to "Build AI Agents From Scratch with Python," a course designed for individuals eager to dive into the world of autonomous AI agents from scratch.

This course will guide you through the fundamentals of AI agents and introduce the innovative ReAct Prompting, which enables large language models (LLMs) to think and take actionable steps.

You'll learn how to build basic to real-world AI agents totally from scratch without using any third parties.

We will be building Agents by integrating custom functions that allow these models to respond intelligently to user queries and bypass limitations like accessing live data, APIs, and external functions.

Whether you're aiming to create a simple AI Agent or a real-world AI Agent, this course provides all the necessary codes and templates to get you started!

What's Inside The Course?

1- AI Agents Structure

You will understand what an AI Agent is and how it works.

2- Understand The ReAct Prompt

The ReAct Prompt is the heart of the AI Agent. We are going to see how it works within the AI Agent workflow in action.

3- Build a Basic AI Agent (Step-by-Step)

We will start by developing a fundamental AI agent that can use external functions to answer user queries.

4- Simplify AI Agents With SimplerLLM

We will build the same AI Agent with the Help of SimplerLLM Library and see how it simplifies our code.

5- Build an SEO Auditor AI Agent (Real Example)

After you understand How AI Agents work and how to build one, we will go with an Advanced Real-World Example and Build an SEO Auditor AI Agent.

6- Get all the Codes & Templates

Save time and effort with access to all my codes and templates

Requirements

This intermediate-level course requires attendees to have a foundational understanding of Python programming and core concepts of prompt engineering.

It is ideal for those who are comfortable with Python coding basics and want to expand their skills in practical AI applications.