Build Production-Ready AI
From LLMs to deployment—master the patterns, tools, and techniques that power real-world AI applications
Fundamentals of LLM
Master the bedrock of LLMs: Mathematics, Computer Science, Python, and PyTorch. Includes expanded, ultra-detailed curriculum.
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Fundamental Concepts of Software Systems Engineering
Step-by-step guide from full-stack web development to building a forward-deployed AI product.
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Fundamental Concepts of Generative AI Engineering
Learn how to use, evaluate, and ship GenAI systems: prompts, embeddings, RAG, agents, and MLOps.
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Forward Deployment Engineering Decisions and Tradeoffs
Granular decision framework for web apps, mobile apps, APIs, backends, ML, LLMs, and agents.
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Product Management Fundamentals
User journey mapping, capability layers, and system blueprinting for AI products.
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Main Product vs Internal Tools vs Platforms
Strategic classification of AI systems: customer-facing apps, internal tools, and data pipelines.
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