AI and Machine Learning
A free 10-lesson course from Microsoft Developer that takes you from the basics of AI agents to building and deploying them, with practical code samples.
Learn from: the original creator. Original content published on YouTube. DigitalSkillX organizes these public resources into a structured learning path. DigitalSkillX does not claim ownership or partnership.
Lesson video is unavailable. Open the original source on YouTube when a link is provided below.
This learning path is based on the 'AI Agents for Beginners' playlist by Microsoft Developer. It covers what AI agents are, how to choose a framework, design principles, agentic RAG, tool use, planning, memory, multi-agent systems, context engineering, protocols like MCP and A2A, and deployment. Each lesson is a short video, and the full course video includes all lessons in one place. You'll also find links to code samples and a Discord community for questions.
Beginners who want a structured free introduction before deeper practice.
0 of 0 lessons completed.
Complete this learning path to become eligible for your DigitalSkillX certificate.
Generative AI
Generative AI and LLMs: From Basics to AI Agents
A 31-part beginner-to-advanced course that explains how large language models work and builds up to RAG, AI agents, and production AI systems, without heavy math.
Artificial Intelligence
Generative AI for Beginners: A Complete Free Course
A step-by-step video series that introduces generative AI concepts, tools, and practical uses for students and beginners. Taught by Prof. Dr. Usman Ghani Khan.
Machine Learning
Machine Learning for Beginners: From First Prediction to Learning Agents
A 14-video beginner course with Alex Mercer that walks through core machine learning ideas one lesson at a time. Basic Python is the only programming prerequisite.
Artificial Intelligence
Artificial Intelligence: Crash Course AI
A 20-episode university-level introduction to artificial intelligence and machine learning, taught by Jabril Ashe with John Green Bot. Covers core AI concepts, hands-on labs, and the social impact of AI.