Deep Learning
A decision-framework deep learning course for engineers. Choose PyTorch vs TensorFlow, judge depth vs classical ML, weigh transfer learning, and reason about CNNs. 7 chapters.
coding agent course, Claude Code vs Codex vs Gemini CLI, AGENTS.md spec, spec-driven development, AI pair programming for engineers, debugging with AI agents, agent-native repository, coding agents for teams, git worktrees for AI workflows
practitioner
en
It is built for working software engineers and engineering teams who already use, or are adopting, terminal coding agents. The level is practitioner, so it assumes you write code and use git day to day.
Course Mode: online · Course Workload: PT207M · Mode: online
A decision-framework deep learning course for engineers. Choose PyTorch vs TensorFlow, judge depth vs classical ML, weigh transfer learning, and reason about CNNs. 7 chapters.
Use ChatGPT, Claude, and Gemini with confidence at work: learn the vocabulary, how models work, when to verify them, and reusable prompts. 8 chapters, foundations level.
Ship AI features to production: prompting, RAG, structured outputs, fine-tuning, and inference tuning. Hands-on, free, 12 chapters (~4.3h) for engineers.
Ship AI inside Microsoft Power Platform: AI Builder, Power Apps and Power BI Copilot, Dataverse agents, plus DLP governance. 6 chapters, ~2h, practitioner level.
Build real software with AI without writing code: custom assistants, AI agents, dashboards, and clickable prototypes. Hands-on with Claude Code, ChatGPT, and Lovable. 7 chapters, beginner.
Understand how tools, memory, and goals turn a chatbot into an AI agent that does work, why agents fail, and how to direct them. No code. 6 chapters, ~95 min, no experience needed.
Run AI directly on a phone or Mac with no cloud round-trip. Build with Apple Foundation Models, Gemini Nano, and MLX across 4 advanced chapters for app engineers.
Build and ship custom AI agents in Microsoft Copilot Studio: topics, RAG knowledge sources, connectors, actions, and DLP governance. 4 chapters, practitioner level.