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.
Learn how to get the most out of AI tools like ChatGPT and Claude. From writing clear prompts to building reliable workflows, this course covers the practical skills you need to use AI effectively for work, study, and creative projects — plus when not to use it.