Complete Guide 2026: Claude Code Manual – Workflow Pipelines & Adversarial Budget Loops

The exhaustive guide to mastering Claude for Product Managers. Build your AI-native PM OS from scratch — PRDs, research synthesis, stakeholder decks, and autonomous agents. 11 modules, 40+ hours, real deliverables.

The most comprehensive free Claude Code course — 16 phases, 55 modules, EN + VI 🚀

Практический курс по Agentic AI: от основ LLM до создания автономных агентских систем. Оптимизирован для просмотра в Obsidian.

面向非科班专业学生的人工智能课程资料：课件、课堂 demo、作业说明与实践代码。

🎓 Free course on deterministic AI verification and AISecOps. Learn fail-closed AI architecture, formal verification, audit integrity, MCP security, and trust-boundary engineering with QWED-AI.

Free open-source course to build and run any online business with AI — no coding required

Everything you need to learn Claude Code: deep notes, real assignments, working solutions. From agentic loops to parallel multi-agent systems.

AI Clinical Decision Support System by Fuzzy Logic | Neuro Fuzzy Optimization | Real time Risk Assessment

The first Russian-language based course on multi-agent orchestration in Claude Code: workflow tools, pipelines, adversarial verification, and budget loops. 15 chapters + 14 labs.

This repository aims to explain the basics of IBM's Agent Lab(beta)

Learn AI by playing: a bilingual, no-code course for Chinese K-9 students with 28 scenario based missions. 为中国中小学生打造的 AI 素养课程。共 7 章，28 个互动任务，在情景中学习。

🚀 OpenAI Agents SDK Full Course Learn how to build, manage, and orchestrate multi-agent AI systems using the OpenAI Agents SDK. 🎓 Ideal for beginners. Watch my YouTube Channel: https://www.youtube.com/@illahibuxj

پروژه‌ها و تمرین‌های درس AI4032 - مبانی هوش مصنوعی. AI4032 course mini-projects and assignments: preprocessing, regression, modeling, and classification.

This course is designed to teach you how to QUICKLY harness the power of the LangChain library for LLM applications. Build 3 end-to-end working LangChain based generative AI applications with no fluff, no toy examples - just real projects using real APIs and real-world skills.

Starter kit по n8n: AI-агенты, автоматизация, интеграции и примеры из коммерческих кейсов 

Jupyter notebooks and course materials from Fundación Esplai’s AI and Python training. Covers core Python, AI concepts and exercises that were also tested in Google Colab.

A free, hands-on Prompt Engineering course in Jupyter notebooks. Runs locally with Ollama + a 7B model — no API keys, no costs. Companion to the @myowncampus YouTube series.

A practical course on getting clearer, more useful, more human output from AI.

Traditional AI algorithms and search strategies: Multi-robot pathfinding with dynamic obstacles, constraint satisfaction problems, and optimization techniques. Implementations include A*, CSP solvers, genetic algorithms, and local beam search for real-world AI applications.