All Courses
17 coursesClaude 101
Core Claude product concepts, prompting basics, projects, artifacts, and everyday usage patterns.
Claude Code 101
Foundational Claude Code workflows including setup, prompting, context, code review, skills, hooks, and MCP.
Introduction to Claude Cowork
Cowork fundamentals: task loops, permissions, plugins, scheduling, document tasks, and troubleshooting.
Claude Code in Action
Hands-on Claude Code usage across setup, context control, custom commands, MCP servers, hooks, and SDK workflows.
AI Fluency: Framework & Foundations
AI fluency foundations built around the 4D framework, prompting, diligence, and capability limits.
Building with the Claude API
API-focused material covering tool use, prompting techniques, evaluation, modalities, deployment, and advanced app patterns.
Introduction to Model Context Protocol
MCP architecture, clients, tools, resources, prompts, and end-to-end implementation basics.
AI Fluency for Educators
Applying AI fluency frameworks to course design, materials, assignments, and educator workflows.
AI Fluency for Students
Student-facing AI fluency concepts for learning, career planning, and responsible human-in-the-loop use.
Model Context Protocol: Advanced Topics
Advanced MCP topics, transports, and deeper protocol concepts captured from the training catalog.
Claude with Amazon Bedrock
Using Claude through Amazon Bedrock, including evaluation, tool use, RAG, MCP, and Claude Code integration.
Claude with Google Cloud's Vertex AI
Vertex AI deployment patterns for Claude, from setup and prompting to RAG, tooling, and operations.
Teaching AI Fluency
Teaching-oriented AI fluency patterns, assignment design, assessment, and discipline-specific integration.
AI Fluency for Nonprofits
Nonprofit-focused AI fluency workflows for research, writing, data analysis, privacy, and operational augmentation.
Introduction to Agent Skills
Agent skill design, configuration, sharing, troubleshooting, and positioning skills against other Claude Code features.
Introduction to Subagents
Subagent concepts, creation, design tradeoffs, and tactics for using them effectively.
AI Capabilities and Limitations
Mental models for AI behavior, knowledge limits, steerability, and property tradeoffs.