Ai Agent Development Kit: Build Your First Ai Agent

Go from zero to hero by building, testing, and deploying autonomous AI agents using the powerful Agent Development Kit

What you'll learn

Understand the core concepts, lifecycle, and key components of AI agents using the ADK framework.

Build, run, and interact with a functional AI agent from scratch using the Agent Development Kit.

Enhance agent capabilities by integrating external tools, APIs, managing memory, and implementing planning.

Deploy a production-ready AI agent by containerizing with Docker and deploying to a cloud service.

Requirements

Basic understanding of programming concepts (preferably Python). No prior experience with AI agents or the ADK is required. You will need a computer with internet access to install the development kit and connect to language models.

Description

Dive into the exciting world of autonomous AI agents with the comprehensive "AI Agent Development Kit (ADK)" course! If you've been fascinated by the potential of AI to perform complex tasks, manage workflows, and interact with digital environments, this is the course for you. We will take you from the fundamental concepts of AI agents to deploying a fully functional agent in the cloud.This course is built around a hands-on, project-based approach. We won't just talk about theory; you will be writing code and building real agents from the very first sections. We begin by demystifying what an AI agent is, exploring the core principles that govern its behavior, and introducing you to the ADK framework—a powerful toolset designed to simplify agent development. You'll gain a solid understanding of the agent lifecycle, key components like memory and planning, and the essential terminology you need to speak the language of AI development.Next, we'll guide you step-by-step through setting up your development environment. You'll learn how to install the ADK, configure your first project, manage dependencies, and crucially, connect your agent to powerful Large Language Models (LLMs) which serve as the agent's 'brain'.With your environment ready, the real fun begins. You will build your very first agent! We will start by defining a clear goal, structuring the agent's code, implementing its core logic, and then running and interacting with it. You'll experience the thrill of seeing your creation come to life. But we don't stop there. The course then delves into enhancing your agent's capabilities. You'll learn how to integrate external tools and APIs (so your agent can browse the web or use other software), manage its memory for context-aware conversations, and implement sophisticated planning and reasoning modules for tackling more complex tasks.An agent is only as good as its reliability. That's why we've dedicated a significant portion of the course to testing and debugging. You will learn professional-grade techniques for unit testing agent components, performing end-to-end evaluations to ensure your agent meets its goals, and debugging common issues using effective logging and monitoring strategies. These skills are essential for building robust and trustworthy agents.Finally, we'll cover the complete deployment pipeline. You'll learn how to prepare your agent for a production environment, containerize it using Docker for portability and scalability, and deploy it to a popular cloud service. We'll even show you how to create a simple API for your agent, allowing other applications to interact with it.By the end of this course, you will not just understand AI agents; you will have the practical skills to build, enhance, test, and deploy them. You'll be equipped with the knowledge to start your own agent-based projects or contribute to the growing field of autonomous AI systems. Enroll today and start your journey to becoming an AI Agent Developer!

Overview

Section 1: Welcome to the Agent Development Kit

Lecture 1 Hello Agent Developer

Section 2: Core Concepts of AI Agents

Lecture 2 What is an AI Agent

Lecture 3 The ADK Framework Overview

Lecture 4 Key Components and Terminology

Lecture 5 The Agent Lifecycle

Section 3: Setting Up Your Development Environment

Lecture 6 Installing the ADK

Lecture 7 Configuring Your First Project

Lecture 8 Managing Dependencies

Lecture 9 Connecting to Language Models

Section 4: Building Your First Agent

Lecture 10 Defining an Agent s Goal

Lecture 11 Creating the Basic Agent Structure

Lecture 12 Implementing Core Logic

Lecture 13 Running and Interacting with Your Agent

Section 5: Enhancing Agent Capabilities

Lecture 14 Integrating Tools and APIs

Lecture 15 Managing Agent Memory

Lecture 16 Implementing Planning and Reasoning

Lecture 17 Handling Complex Interactions

Section 6: Testing and Debugging Agents

Lecture 18 Unit Testing Agent Components

Lecture 19 End-to-End Agent Evaluation

Lecture 20 Debugging Common Issues

Lecture 21 Logging and Monitoring

Section 7: Deploying Your Agent

Lecture 22 Preparing for Production

Lecture 23 Containerizing Your Agent with Docker

Lecture 24 Deploying to a Cloud Service

Lecture 25 Creating an API for Your Agent

Section 8: Course Summary and Next Steps

Lecture 26 The End and What s Next

This course is designed for software developers, AI enthusiasts, and tech professionals who want to learn how to build, test, and deploy sophisticated AI agents. It is perfect for learners curious about the practical application of large language models and autonomous agent technology. Whether you're a hobbyist looking to create your first agent or a developer aiming to integrate agent-based systems into your applications, this course provides the foundational knowledge and hands-on skills you need to get started with the Agent Development Kit.