Building Autonomous Apps With Ai Agents From Scratch

Learn to develop autonomous systems that not only perform tasks but understand and adapt to user needs in real-time

What you'll learn

Advanced Prompt Engineering

The ReAct Prompt Technique

Autonomous AI application development

Chain-of-Thought Prompting

Requirements

Basic Programming knowledge required

Description

Unlock the potential of autonomous applications with our groundbreaking course, “Building Autonomous Apps using AI Agents from Scratch.” Tailored for developers looking to master the art of agentic software creation without relying on frameworks. That is correct. no third party libraries! In this course, you will understand the underlying technologies behind transformative applications like AutoGPT, Anthropic’s Compute, and Devin AI, along with agentic frameworks including CrewAI, LangChain, and LlamaIndex.This course offers a deep dive into the mechanics of building intelligent apps from the ground up. Learn to develop autonomous systems that not only perform tasks but understand and adapt to user needs in real-time.What You Will Learn:• Framework-Free Development: Start with the basics and advance to building complex autonomous applications entirely from scratch. Gain a comprehensive understanding of the internal workings of each component and learn how to optimize algorithms effectively.• Explore Cutting-Edge Models and Applications: Understand the underlying technologies behind transformative applications like AutoGPT, Anthropic’s Compute, and Devin AI, along with agentic frameworks including CrewAI, LangChain, and LlamaIndex.• The ReAct Prompt Methodology: Delve into the ReAct prompt—a synergistic approach combining reasoning and action in language models. Learn how it integrates within AI agent workflows to autonomously perform multiple tasks based on user inputs.• Advanced Prompt Engineering: Master the crucial skill of crafting prompts that direct AI models to provide optimal, context-aware responses, essential for complex reasoning and user interactions.• Interactive Code-Along Sessions: Engage in detailed, real-time coding tutorials throughout each module, allowing for immediate application of concepts and techniques. This hands-on approach ensures you solidify your understanding and enhance your coding proficiency.• Capstone Project: Apply everything you’ve learned by developing an autonomous airline customer service application. This final project will showcase your ability to create sophisticated, interactive AI systems that are both innovative and practical.Course Benefits:By the end of this course, you will not only understand the theoretical aspects of creating autonomous AI applications but will also possess the hands-on experience needed to develop state-of-the-art intelligent systems. You’ll emerge with the skills to create apps that not only function autonomously but also truly engage with and understand user interactions.Who Should Enroll:This course is ideal for developers and software engineers curious about AI agent development and those aspiring to pioneer the next generation of intelligent applications.

Overview

Section 1: Introduction

Lecture 1 Demo application

Lecture 2 Course source code

Lecture 3 Create the Openai API key

Lecture 4 Getting started

Section 2: ReAct version 1

Lecture 5 Creating the ReAct Skeleton

Lecture 6 Implement the ReAct loop

Lecture 7 Adding basic tools

Lecture 8 Handling tools execution

Lecture 9 Integrating the LLM

Lecture 10 Adding more tools

Lecture 11 Implementing Action and Observation steps

Lecture 12 Wrapping up the ReAct version 1

Section 3: ReAct version 2

Lecture 13 Creating the basic strucuture

Lecture 14 Implementing the app runner

Lecture 15 Presenting the OpenAI functions

Lecture 16 Handling tools execution

Lecture 17 Setting up the lost baggage use case

Lecture 18 Setting up the flight modification use case

Lecture 19 What's next?

Developers curious about AI Agent development