Learn AI tools, automation workflows, prompt engineering, and practical productivity systems.
16 courses
Use this category to discover practical AI and automation courses. The initial content is intentionally lightweight and will expand as curated courses are reviewed.
Artificial Intelligence & Automation courses help learners understand how to use modern AI tools responsibly, build repeatable workflows, and apply automation to real business and personal productivity problems.
11 chapters Free 8-hour agentic AI course for beginners: generative AI, embeddings, LLMs, RAG agents, design patterns, agent frameworks, MCP, and guardrails.
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22 chapters Free AI agents course for beginners: learn LLMs, tools, agent loops, memory, multi-agent systems, evals, and a real OpenClaw case study.
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26 chapters Learn AI Foundations for Absolute Beginners with a structured free course featuring guided chapters, summaries, practice tasks, and career-focused notes.
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28 chapters Learn Artificial Intelligence | Complete AI Course 2026 | Intellipaat with guided chapters, summaries, practice tasks, and career-focused notes.
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13 chapters Free Claude Certified Architect – Foundations (CCA-F) prep course: agentic loops, multi-agent design, Claude Code, MCP, CI/CD, and scenarios.
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24 chapters Learn Claude Code for Beginners [] with guided chapters, summaries, practice tasks, and career-focused notes.
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7 chapters Learn Deploying AI Models with Hugging Face – Hands-On Course with guided chapters, summaries, practice tasks, and career-focused notes.
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46 chapters Learn Gemini CLI for agentic coding, setup, memory, permissions, skills, MCP, SDKs, subagents, and automation workflows.
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44 chapters Learn Claude Code Essentials with a structured free course featuring guided chapters, summaries, practice tasks, and career-focused notes.
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14 chapters Free Claude Code course: set up VS Code, use permission modes, Plan Mode, /goal, skills and slash commands, then deploy apps with MCP.
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51 chapters Learn Learn MLOps with MLflow and Databricks – for Machine Learning Engineers with guided chapters, summaries, practice tasks, and career-focused notes.
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44 chapters Learn LLM Fine-Tuning Course – From Supervised FT to RLHF, LoRA, and Multimodal with guided chapters, summaries, practice tasks, and career-focused notes.
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17 chapters Learn loop engineering and harness engineering for AI agents: agentic loops, verifiers, guardrails, routers, and multi-agent labs with LangGraph.
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29 chapters Learn Manus AI – for Developers with guided chapters, summaries, practice tasks, and career-focused notes.
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26 chapters Learn OpenClaw Full Tutorial for Beginners – How to Set Up and Use OpenClaw (ClawdBot / Mol with guided chapters, summaries, and practice tasks.
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30 chapters Learn Python Essentials for AI Agents – Tutorial with a structured free course featuring guided chapters, summaries, practice tasks, and career-focused notes.
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Many courses are selected for beginners, and each page explains prerequisites before you start.