Courses for your goal
From your first prompt to production systems.
AI for developers: APIs and agents
APIs, RAG, agents and production.
Machine learning foundations
How ML works: concepts, task types and models — no heavy math.
Python for AI from scratch
Learn Python and libraries for AI and data work.
Working with LLM APIs: advanced
Streaming, tools, structured output and production reliability.
Building RAG systems
Answers over your data: indexing, retrieval and cited generation.
AI agents and multi-agent systems
Agents, tools, planning and safe autonomous behavior.
Fine-tuning and customizing models
When and how to fine-tune models for your tasks and data.
Vector databases and embeddings
Semantic search: embeddings, indexes and vector stores.
LLMOps and production
Cost, cache, monitoring, evals and safety of AI systems in production.
Computer vision with AI
Recognition, detection and segmentation of images in practice.
Natural language processing (NLP)
How machines understand text: tokens, embeddings, NLP tasks.
AI with local and open models
Run open models locally: privacy, cost and setup.
Prompt engineering for developers
Prompts as code: system prompts, tests, versions and reliable output.
AI for data analytics
From question to insight: cleaning, analysis and viz with AI.
Forecasting and time series
Forecast demand, sales and metrics with AI and statistics.