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About This Course

A project-based professional course covering Python for AI, prompt engineering, embeddings, vector search, retrieval-augmented generation, tool use, evaluation, guardrails, privacy, deployment and monitoring. Learners build an end-to-end portfolio assistant using secure, responsible engineering practices.

What You'll Learn

• Explain transformer and LLM concepts; design reliable prompts; build RAG pipelines; integrate tools and APIs; evaluate hallucination and quality; apply privacy and safety controls; deploy and monitor an AI application.

Career Opportunities

• AI Application Developer; Prompt Engineer; Junior ML Engineer; Automation Developer; AI Product Specialist; Freelance AI Solutions Consultant.

Prerequisites

• Basic computer literacy; introductory Python is helpful but not mandatory.

Who Should Take This Course?

• Developers, analysts, technical founders and professionals building AI-enabled products.

Certificate Information

Certificate of Completion in Generative AI & LLM Application Engineering after required lessons, projects, quizzes and final assessment.

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