AI
Artificial intelligence, machine learning, neural networks, and large language models.
A course covering how to build AI agents — from simple ReAct loops to complex multi-agent systems with tool orchestration, planning, memory, guardrails, and production deployment patterns.
A hands-on course covering how to build production AI applications — from working with AI APIs and managing tokens and costs, through embeddings, RAG pipelines, prompt engineering, function calling, and agents with memory, to evaluation, testing, and deployment best practices.
A comprehensive introduction to artificial intelligence covering the history of AI, machine learning, neural networks, large language models, prompt engineering, AI APIs, computer vision, NLP, AI agents, ethics, and real-world applications. Build the knowledge to understand and work with AI systems.