Begin integrating AI into software applications and gain the career-building skills you need to succeed as an AI Engineer!
In this track, you’ll learn to create AI-powered backend systems and applications to deliver more value to end-users. You'll use Large Language Models (LLMs) to generate text, use prompt engineering to optimize model outputs, and create your own chatbots, recommendation engines, and semantic search engines using LLMs and vector databases.
Learn to work with the most popular AI APIs and open-source libraries for accessing AI functionality, including the OpenAI API, Hugging Face, LangChain, and Pinecone.
Discover best practices for integrating third-party APIs into production systems, including handling rate limits, API exceptions, and structuring model outputs for reliability.
Apply everything that you've learned to real-world projects, so you're prepared to begin building your own production-ready AI system.
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