AI-powered Python Applications: Using Agentic Frameworks

Enhance your Python skills and learn to build autonomous AI agents using frameworks like LangChain, CrewAI, and AutoGen. Master integration of pre-trained models, performance optimization, and deployment across cloud and local environments.

What you'll learn

Experienced software developers need to integrate advanced AI capabilities into their applications. In this course, AI-powered Python Applications: Using Agentic Frameworks, you'll learn to develop autonomous AI agents using Python.

First, you'll explore agentic frameworks, focusing on LangChain, CrewAI, and Microsoft's AutoGen, and understand how these frameworks facilitate the creation of AI agents capable of autonomous decision-making and task execution. Then, you'll see practical code demonstrations of how to set up your development environment, implement AI agents, and integrate pre-trained models to enhance their reasoning and predictive capabilities. Next, you'll delve into performance optimization techniques essential for ensuring your AI agents operate efficiently and scale effectively. Finally, you'll learn best practices for deploying and managing AI applications across various platforms, including cloud services and local servers, ensuring your solutions are robust and reliable in real-world environments.

By the end of this course, you'll have hands-on experience in building, optimizing, deploying, and managing AI agents in Python and be prepared to implement cutting-edge AI solutions.