
Mathematical Foundations for Machine Learning
Mathematical Foundations of Machine Learning is a program for those who want to systematically understand the mathematics necessary for studying machine learning, data analysis, and artificial intell…
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<p>Build in-demand AI skills with practical courses in Artificial Intelligence, machine learning, data, and automation.</p>

Mathematical Foundations of Machine Learning is a program for those who want to systematically understand the mathematics necessary for studying machine learning, data analysis, and artificial intell…

Harness Engineering: A Practical Masterclass — a 5-day practical workshop on creating your own working harness for AI coding agents. During the training, you will dissect the architecture of the agen…

AI Agents 10 Day Bootcamp

The program helps participants progress consistently from the basic principles of reinforcement learning to modern research approaches in AI. You will learn how an agent interacts with the environmen…

This practical course is dedicated to AI Red Teaming — a cybersecurity discipline focused on identifying, modeling, and mitigating vulnerabilities in artificial intelligence systems. You will learn t…

Learn how to use GitHub Copilot, from writing your first prompts and implementing features to extending it with custom agents and MCP servers.

Learn how to use and configure Claude Code, from custom skills and hooks to MCP servers and CI/CD integration.

This bundle is designed to help you build practical AI engineering skills and improve your career profile. It covers production-ready RAG systems, agentic RAG, Claude Code Skills, LLM learning resour…

Most AI assistants are still session-based. You give them context, they complete the task, and once the session ends, most of the operational knowledge is gone. The next time you need help, you expla…

Stop re-prompting Claude every morning. Build loops that run, verify their own work, and remember what happened last time.