AI Usage Disclosure: This course contains the use of artificial intelligence. All content has been reviewed and verified by the instructor to ensure accuracy and quality.Build Real AI Agents from ScratchArtificial Intelligence is rapidly evolving from simple chatbots to autonomous AI agents capable of reasoning, planning, and executing tasks.In this course, you will learn how to design, build, and deploy powerful AI agents using Python and the Agent Development Kit (ADK). Instead of only learning theory, you will build multiple real-world AI agent systems step-by-step.This course is designed to take you from beginner to advanced AI agent developer, even if you are new to building autonomous systems.Throughout the course, you will learn how modern AI agents work, how they reason with Large Language Models, how they use tools, maintain memory, and collaborate with other agents to complete complex tasks.By the end of the course, you will be able to build production-ready AI agents that can automate research, analyze data, assist customers, and perform intelligent workflows.What you will build• A research assistant AI agent• A data analysis AI agent• A customer support automation agent• A productivity assistant agent• A multi-agent research systemWhat you will learn• How AI agents work internally• Building agents using Python and ADK• Tool integration and function calling• Memory systems for intelligent agents• Guardrails and AI safety• Evaluating AI agent performance• Multi-agent collaboration• Deploying AI agents to cloud environmentsWho this course is for• Developers interested in AI and automation• Python programmers wanting to build AI applications• Engineers exploring autonomous AI systems• Anyone interested in learning how AI agents work<
What you'll learn
how AI agents function
building AI agents using Python and ADK
tool integration and function calling
implementing memory systems in agents
ensuring AI safety with guardrails
evaluating the performance of AI agents
facilitating multi-agent collaboration
deploying AI agents to cloud environments
Course objectives
understand the internal workings of modern AI agents
develop practical skills to create diverse AI applications
learn effective collaboration strategies for multiple agents