This specialization features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization.
In this specialization, you'll learn to build autonomous AI agents using LangGraph, Semantic Kernel, and AutoGen. You'll master AI agent architecture and create agents that process complex queries, maintain state, and integrate human feedback for decision-making.
It begins with an introduction to AI agents, setting up your environment, and building your first agent using LangGraph. You’ll automate decision-making processes and work with complex queries through demos. You’ll explore Semantic Kernel SDK, integrating Large Language Models (LLMs) and generative AI into your applications. You'll learn to build intelligent agents and chat applications for business solutions. You'll develop and deploy multi-agent systems using AutoGen, exploring agent types, multi-agent conversations, human feedback integration, and advanced tools like sequential, nested, and group chats. Practical projects will help you apply these concepts to real-world scenarios.
This specialization is designed for developers and AI enthusiasts with basic programming knowledge and is of intermediate difficulty. By the end, you will be able to build sophisticated AI agents using LangGraph, Semantic Kernel, and AutoGen, and apply generative AI to real-world challenges.
Projet d'apprentissage appliqué
Learners will work on real-world projects, including building intelligent agents using LangGraph and Semantic Kernel, and deploying multi-agent systems with AutoGen. These projects emphasize creating practical solutions with AI, automating complex decision-making processes, and integrating human feedback into AI systems.
