All Courses
13 self-contained courses — pick any path, learn at your pace.
Claude 101: Beginner's Guide
Learn Claude AI from the ground up, what Claude is, how to write effective prompts, projects, artifacts, skills, connectors, research mode, and more.
13 lessonsOpen course
AI Fluency Foundations
Master the 4D Framework (Delegation, Description, Discernment, and Diligence) and build lasting skills for effective, efficient, and responsible human-AI collaboration.
13 lessonsOpen course
Practical Exercises
Hands-on exercises for building production Claude applications: agent loops, Claude Code configuration, data extraction pipelines, and multi-agent research systems.
4 lessonsOpen course
Latest Updates
Breaking developments in the Claude ecosystem, new model releases, policy changes, and frontier AI research.
1 lessonsOpen course
Mastering Agentic Engineering
A deep, book-grounded journey from single-agent fundamentals through multi-agent orchestration, governance, and production deployment. Covers the full spectrum: agent architecture, perception, reasoning, action, reflection, multi-agent patterns, and production engineering.
12 lessonsOpen course
AI Model Landscape
Compare Claude with GPT-4o, Gemini 2.5, DeepSeek, and GLM across architecture, API design, context limits, and use-case fit. Helps CCA-F candidates understand where Claude sits in the broader LLM ecosystem.
4 lessonsOpen course
Claude for Your Team
Non-technical guide to understanding and using Claude — for PMs, designers, marketers, and writers working alongside AI-powered engineering teams.
8 lessonsOpen course
OpenCode: The Open-Source AI Coding Agent
Master the open-source terminal-native AI coding agent. Learn agents, tools, configuration, permissions, skills, plugins, MCP integration, and CLI workflows from the source code up.
16 lessonsOpen course
Loop Engineering: From Prompt to Autonomous Systems
Master the four layers of AI engineering — prompt engineering, context engineering, harness engineering, and loop engineering. Build reliable agent harnesses, design autonomous agent loops, and become a loop engineer.
8 lessonsOpen course
Graph Engineering: The Fifth Layer
Trace how AI engineering evolved from prompt engineering through context, harness, and loop engineering to graph engineering — then master graphs, state, and agent organization: the layer that makes agent fleets programmable.
6 lessonsOpen course
AI Engineering in 30 Days
Build and ship a practical AI product in 30 daily steps, from problem framing and model integration through RAG, evaluation, security, deployment, and production operations. Every day produces a deliverable for the running Helpdesk Copilot project.
30-day roadmapOpen course
RAG Mastery: 30-Day Retrieval Engineering Lab
Build production-grade retrieval systems across 30 days, from corpus governance and ingestion through hybrid search, reranking, citations, evaluations, authorization, and operations. Follow FieldDesk and PolicyDesk as continuous application scenarios.
30-day roadmapOpen course
Forward Deployed Engineer: 30-Day Roadmap
Practice the complete customer-facing engineering cycle in 30 days: discovery, workflow mapping, enterprise integration, rapid delivery, secure deployment, adoption, incident response, and measurable outcomes. Carry one client engagement from first interview to production handoff.
30-day roadmapOpen course