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Category: AI
Build in-demand AI skills with practical courses in Artificial Intelligence, machine learning, data, and automation.
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 intelligence. You will master the key tools of linear algebra and integral calculus, learn to understand the mathematical ideas underlying ML algorithms, and be able to more confidently transition to practical tasks in Data Science.
Harness Engineering Workshop
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 agent loop, learn to manage tools, context, memory, and session recovery, and in the end, build and present your own coding-agent harness.
Reinforcement Learning Research 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 environment, receives rewards, optimizes its behavior strategy, and learns to make decisions under complex conditions.
Maven – AI Red Teaming & AI Security Masterclass
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 to think like an attacker to build truly secure AI systems.
From Zero to Hero: Working with GitHub Copilot
Learn how to use GitHub Copilot, from writing your first prompts and implementing features to extending it with custom agents and MCP servers.
Deep Dive: Claude Code
Learn how to use and configure Claude Code, from custom skills and hooks to MCP servers and CI/CD integration.
Youssef Hosni – AI Engineering Courses Bundle
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 resources, resume writing, and data science portfolio building.
Hermes Agent 101: Persistent Agents, Memory, Skills, and Real Workflows
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 explain the same project structure, the same commands, the same preferences, the same workflow, and the same constraints again.
Hands-On Loop Engineering with Claude Course
Stop re-prompting Claude every morning. Build loops that run, verify their own work, and remember what happened last time.
Agentic Coding with GitHub Copilot: Skills, Agents and MCP
Master Agentic Coding using Context, Instructions, Skills, and SubAgents with The Explore – Plan – Code – Review Process
AI Coding Crash Course
Ship faster than ever before by taking control of your code, with software engineering fundamentals.
Understand AI-Assisted Software Development: Become a 10x Developer
Learn to think like a Software Developer while using AI to exponentially increase your effectiveness and efficiency as a developer. Build real knowledge and use strategic workflows to plan, generate, review and improve production-ready code.
Hardcore Agentic Engineering for builders who ship
Driving agents effectively is the engineering skill that matters most right now.
Production-Ready Systems with LLMs and Agents: An Intensive for Engineers
Build LLM and agent systems that survive real traffic, cost, and failure.
Jack Friks – Ship or Die : Ship your app in 30 days
Ship or Die is a practical course and a private community for those who want to create, validate, and launch a startup in 30 days, rather than polishing an app alone for months. If the product currently has 0 users and 0 revenue, the problem may not be in the idea but in the fact that it has never been truly launched.
Pi – The Practical Guide
Learn how to use the Pi coding agent – how to make it yours by configuring and extending it, and how to build real projects by leveraging its basic and advanced features.
Noelle Russell – Google Generative AI Leader
Google Generative AI Leader is a course for executives, managers, analysts, and specialists who want to understand generative AI at the level of business solutions, assess its capabilities, risks, and impact on a company, as well as confidently work with Google AI tools, including Gemini and Vertex AI.
Noelle Russell – Azure AI Fundamentals Certification
Azure AI: Fundamentals is a course designed for systematic preparation for the certification Microsoft Azure AI-900: Azure AI Fundamentals and to acquaint participants with the key capabilities of artificial intelligence in the Microsoft Azure cloud. You will explore the main AI workloads, principles of Responsible AI, machine learning, computer vision, natural language processing, and generative AI based on Azure AI, Azure AI Foundry, and Azure OpenAI.
Noelle Russell – Put Fable 5 to Work
Workshop “How to Make Fable 5 Work for You” demonstrates how to use artificial intelligence not just as a regular chatbot for occasional responses, but as a managed AI system capable of researching information, planning tasks, preparing materials, automating routine work, and assisting in decision-making.
[Enterprise SLM from Scratch] Foundations
Take a small language model end to end, from raw data through tokenization, pretraining, fine-tuning, alignment, inference engineering, and deployment.
Noelle Russell – AI Business Accelerator
You will learn how to launch AI consulting, service, or digital business, create strong positioning, develop a personal brand, use content to attract an audience and implement automation in client funnels.
Digital Ethics Course: Guiding Principles for Responsible Innovation
Learn how to build ethical, human-centered digital products people can trust
Sunal Sood – Design Engineer Pro
Go from designer to design engineer. A structured way to learn how to use AI in workflows, think like a builder, and ship real products.
Master LLM Inference Engineering (Phase 1) : Foundations & Optimization
A 4-week intensive workshop taught live by Dr. Raj Dandekar (MIT PhD) with 9 industry experts from Anthropic, NVIDIA, Apple & more.
AI × 3D Course: AI-Assisted 3D Pipeline
You’ll learn to generate references with AI, turn them into usable geometry, fix what the AI gets wrong, sculpt, retopologize, unwrap UVs, bake HighPoly to LowPoly, build a full PBR texture set with emission, rig with Mixamo or AccuRIG, and export to Unity and Unreal.
AI in C# using the Microsoft Agent Framework
Learn Chat, Tool Calling, Structured Output and RAG
Maven – AI Software Development with opencode
AI Software Development with opencode is a practical course for developers who want to use artificial intelligence in programming without full dependency on cloud services, maintaining control over the code, data, infrastructure, and development process.
AI Engineering: Retrieval Augmented Generation (RAG) for LLMs
Thrive in the AI era with this hands-on course that teaches you to build better AI applications using one of the most important AI techniques used in the real-world to supplement an AI model’s knowledge with proprietary or new information: Retrieval Augmented Generation (RAG).
AI Bot Builder Boot Camp: Building Your First Customer Service AI Bot
This course will guide you step by step to develop a complete artificial intelligence system capable of answering customer queries, automating services, and helping businesses operate more efficiently.
Harness Engineering Masterclass: AI Coding Agents
Learn Claude Code, Codex CLI, Gemini CLI, MCP, Context Engineering, Multi-Agent AI & Production Harnesses
ChatGPT – The Advanced Guide
Use ChatGPT to Write, Research, Create Images & Analyze Data. Canvas, Projects, Deep Research, Excel & Slides.




















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