About Course
Applied AI Development is a practical, hands-on course for people ready to move beyond simply using AI tools and begin building with them.
You will learn how modern AI applications are put together using Python, LLM APIs, embeddings, retrieval-augmented generation (RAG), tools and agentic workflows. Rather than focusing on theory alone, each session helps you build towards a working application that can answer questions over documents, automate a useful task or support a real business process.
You will also learn how to make AI applications more reliable through evaluation, safety checks, privacy considerations and simple deployment.
By the end of the course, you will have built and presented your own AI-powered project, with practical foundations in the patterns used to create modern AI products.
This course is ideal for students, professionals, analysts, entrepreneurs and aspiring developers who have completed AI Foundations, or already have a basic understanding of how generative AI works. No prior programming experience is required, although you should be comfortable learning technical concepts and writing simple code.
Course Content
Python and the AI builder toolkit
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Python and the AI builder toolkit
Building with LLM APIs
Reliable LLM applications
Embeddings and semantic search
Retrieval-Augmented Generation (RAG)
Tools, function calling and agents
Evaluation, safety and deployment
Capstone project
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