Bootcamps · Artificial Intelligence
AI Engineering Bootcamp
Build and ship AI products: generative AI, LLM apps, RAG, agents, fine-tuning and evaluation, with NVIDIA certification prep.
Applied AI Engineering is for developers who want to build and ship AI-powered products. Over 12 teaching weeks in four modules, with wellness breaks, you cover machine learning and deep learning foundations, LLMs and prompt engineering, retrieval-augmented generation and agents, fine-tuning, evaluation, and deploying and operating AI systems responsibly. The fee includes the NVIDIA Certified Associate: Generative AI LLMs (NCA-GENL) exam.
What you'll learn
- Use generative AI tools productively and safely
- Build LLM applications with structured outputs
- Ground answers in your data with RAG
- Design agents with tools and human approval
- Fine-tune and evaluate models
- Deploy and monitor AI services
Curriculum
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1
Primer · Generative AI essentials
How generative AI works and how to use it well.
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2
Working with LLMs
Prompting, fine-tuning, MLOps, deployment and agentic AI.
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3
Applied AI engineering
ML foundations, RAG, agents, evaluation and production AI.
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4
Automation sprint
Ship an AI workflow for a real team.
Before you join
- Solid Python programming
- Familiarity with APIs, Git and the command line
- Basic maths (linear algebra and probability helpful)
- Laptop with 16GB RAM
Tools & technologies
PythonPyTorchHugging FaceOpenAI / Anthropic APIsLangChain / LlamaIndexVector databasesFastAPIDockerNVIDIA NIM
Career paths
AI EngineerLLM Application DeveloperMachine Learning EngineerAI Solutions Architect
