Explore the complete stack
Full-Stack AI Knowledge Areas
Explore every technical layer required to design, build, evaluate, deploy and operate production-ready AI applications.
Choose a Knowledge Area
Start with the fundamentals or jump directly into the engineering layer most relevant to your goals.
01 · Foundations
Programming and Computer Science
Build the mathematical, programming and systems knowledge needed for advanced AI engineering.
Python · JavaScript · Git · Linux · Mathematics · Statistics · Networking · Algorithms
02 · Application Development
Frontend, Backend and APIs
Learn to turn models and data systems into secure, usable and maintainable applications.
React · Next.js · FastAPI · APIs · Authentication · Testing · Architecture · System Design
03 · Data Systems
Databases and Data Engineering
Design the data foundations that support analytics, machine learning and knowledge-intensive AI systems.
SQL · PostgreSQL · NoSQL · Vector Databases · Pipelines · Warehouses · Streaming
04 · Machine Learning
Models, Training and Evaluation
Understand how models learn, how performance is measured and how reliable ML systems are developed.
Classical ML · Feature Engineering · Deep Learning · NLP · Computer Vision · Validation
05 · LLM Engineering
LLM Applications and RAG
Build applications around language models using retrieval, structured outputs, evaluation and context engineering.
Prompting · Embeddings · Chunking · Retrieval · RAG · Fine-Tuning · Multimodal Systems
06 · Agentic Systems
Agents, Tools and Workflows
Design controllable AI systems that use tools, preserve state and coordinate multi-step work.
Tools · Memory · Planning · Workflows · Human Approval · Multi-Agent Systems · Orchestration
07 · Production Infrastructure
Deployment, Reliability and Scale
Move AI applications from local prototypes into secure, observable and scalable production systems.
Docker · Kubernetes · Cloud · CI/CD · MLOps · LLMOps · Security · Observability · Scaling
08 · Product and Research
AI Products, Research and Careers
Connect technical execution with product strategy, research insights and long-term engineering growth.
Product Design · Evaluations · Papers · GitHub Projects · Technology Trends · Portfolios · Careers
Not sure where to begin?
Follow a structured learning path based on your current experience and the systems you want to build.