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Course
- Core Tech
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.
Table of contents
About the author
Dr. Daniel “Brian” Letort is a 22+ year veteran of Information Technology. During a 21-year tenure at Northrop Grumman, Brian held various roles across software engineering, systems engineering, Chief Applications Architect, Chief Data Scientist, and Chief Enterprise Architect. Brian held the NG Fellow title for six years and Technical Fellow title for four years prior. In 2022, Brian joined Digital Realty as the Chief Architect - Product and Artificial Intelligence. Aside from working at Digital Realty, Brian has 12+ years experience in teaching Data Science and Computer Science classes as an adjunct professor. Brian has authored two books and holds two patents.
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