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Generative AI Foundations
Understand generative models, large language models, their capabilities and limitations, and how to choose a useful AI application.
Prompt Engineering
Practice clear instructions, context, examples and structured outputs. Evaluate responses and improve prompts for practical tasks.
LLM Integration
Connect AI models to applications using APIs and Python. Work with conversation context, structured responses and application workflows.
Retrieval-Augmented Generation (RAG)
Explore document preparation, embeddings, retrieval and grounding responses in relevant source material.
AI Assistants & Practical Projects
Practice building a document question-answering assistant, a content workflow or a task-focused chatbot.
Evaluation & Responsible Use
Learn to assess output quality, handle unreliable responses, protect sensitive data and consider application costs.
Who Can Join?
Students, developers and working professionals interested in building practical AI skills. Speak with our team about prerequisites and the right learning path for your background.