Generative AI Course

This practical Generative AI program covers GenAI foundations, prompt engineering, LLM APIs, structured outputs, function calling, embeddings, vector stores, RAG, agents, multimodal AI, fine-tuning awareness, evaluation, safety, deployment, and capstone projects.

• Build practical skill through hands-on apps, prompts, workflows, retrieval systems, and agent labs

• Support interviews with GitHub projects, prompt libraries, RAG demos, evaluation reports, and responsible AI checklists

Understand AI, ML, deep learning, foundation models, and the GenAI landscape.

Master prompting techniques, templates, and workflow automation.

Connect to LLM APIs, build simple apps, and manage keys and environments.

Extract structured data, validate outputs, and automate repeatable AI tasks.

Ground model answers in trusted knowledge using embeddings, vector search, and citations.

Build assistants that plan, call tools, retrieve data, and complete multi-step tasks.

Work with images, audio, video, documents, and creative generation workflows.

Learn when to tune models, when to use RAG, and how production AI systems are managed.

Measure quality, detect harm, apply guardrails, and build trust in AI systems.

Ship a GenAI application and prepare portfolio evidence for interviews.