AI engineer
Build, test and deploy AI features: chat, search over your own documents, agents and fine-tuned models.
Developers who want to build products with large language models.
Build, test and deploy AI features: chat, search over your own documents, agents and fine-tuned models.
12 topics, about 10 weeks at 20 minutes a day
- pythonStart from zero, Core basics, Next stepsThe main language for AI work.
- generative-aiStart from zero, Core basics, Next steps, Go deeperHow large language models work and where they fail.
- prompt-engineeringStart from zero, Core basics, Next steps, Go deeperGet reliable answers from a model.
- llm-apisStart from zero, Core basics, Next steps, Go deeperCall models from code with streaming, tools and cost control.
- rag-and-vector-databasesStart from zero, Core basics, Next steps, Go deeperAnswer from your own documents with search and embeddings.
- agentic-aiStart from zero, Core basics, Next stepsLet models plan and use tools safely.
- machine-learningStart from zero, Core basicsThe basics under every model.
- hugging-faceStart from zero, Core basicsFind and run open models.
- ollamaStart from zero, Core basicsRun models on your own computer.
- fine-tuningStart from zero, Core basics, Next stepsTeach a model your style or task.
- fastapiStart from zero, Core basicsServe your AI feature as an API.
- mlopsStart from zero, Core basicsMonitor, version and ship models in production.