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every lesson, one feed0 / 168 doneCourse 1
Claude 101001What is Claude?
note
002Your first conversation with Claudenote
003Getting better resultsnote
004Claude desktop app: Chat, Cowork, Codenote
005Introduction to projectsnote
006Creating with artifactsnote
007Working with skillsnote
008Connecting your toolsnote
009Enterprise searchnote
010Research mode for deep divesnote
011Claude in action: use-cases by rolenote
012Other ways to work with Claudenote
013What's next?note
014Certificate of completionnote
Course 2
Claude Code 101Course 3
Introduction to Claude Cowork028What is Cowork?
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029Getting set upnote
030The task loopnote
031Giving Cowork contextnote
032Plugins: Cowork as a specialistnote
033Scheduled tasksnote
034File & document tasksnote
035Research & analysis at scalenote
036Permissions, usage, & choosing your modelnote
037Troubleshooting & next stepsnote
038Quiz on Claude Coworknote
Course 4
Claude Code in Action039Introduction
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040What Is A Coding Assistantnote
041Claude Code In Actionnote
042Claude Code Setupnote
043Project Setupnote
044Adding Contextnote
045Making Changesnote
046Course Satisfaction Surveynote
047Controlling Contextnote
048Custom Commandsnote
049MCP Servers With Claude Codenote
050GitHub Integrationnote
051Introducing Hooksnote
052Defining Hooksnote
053Implementing A Hooknote
054Gotchas Around Hooksnote
055Useful Hooksnote
056Another Useful Hooknote
057The Claude Code SDKnote
058Quiz On Claude Codenote
059Summary And Next Stepsnote
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060Introduction To AI Fluency
note
061Why Do We Need AI Fluencynote
062The 4D Frameworknote
063Generative AI Fundamentalsnote
064Capabilities Limitationsnote
065A Closer Look At Delegationnote
066Project Planning And Delegationnote
067A Closer Look At Descriptionnote
068Effective Prompting Techniquesnote
069A Closer Look At Discernmentnote
070The Description Discernment Loopnote
071A Closer Look At Diligencenote
072Conclusionnote
073Certificate Of Completionnote
074Additional Activitiesnote
Course 6
Building with the Claude API075Introduction
outline
076API tool overviewoutline
077Advanced tool use with the APIoutline
078Prompt evaluation and iterationoutline
079Prompt engineering techniquesoutline
080Tool use with Claudeoutline
081Agentic searchoutline
082New modalitiesoutline
083Model Context Protocol (MCP)outline
084Advanced application patternsoutline
085Implementation and deploymentoutline
086Final assessmentoutline
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087Welcome To The Course
note
088Introducing MCPnote
089MCP Clientsnote
090Project Setupnote
091Defining Tools With MCPnote
092The Server Inspectornote
093Course Satisfaction Surveynote
094Implementing A Clientnote
095Defining Resourcesnote
096Accessing Resourcesnote
097Defining Promptsnote
098Prompts In The Clientnote
099Final Assessment On MCPnote
100MCP Reviewnote
Course 8
AI Fluency for EducatorsCourse 9
AI Fluency for Students0 / 2
Course 11
Claude with Amazon BedrockCourse 12
Claude with Google Cloud's Vertex AICourse 13
Teaching AI Fluency127Welcome Approaches To Teaching AI Fluency
note
128The Delegation Diligence Loopnote
129The Description Discernment Loopnote
130How Do We Assess The 4Dsnote
131Designing Assignments For AI Fluencynote
132AI's Impact And Your Disciplinenote
133Applying Discipline Expertise To AI Fluencynote
134Certificate Of Completionnote
Course 14
AI Fluency for NonprofitsCourse 15
Introduction to Agent SkillsCourse 16
Introduction to SubagentsCourse 17
AI Capabilities and Limitations155Intro To AI Capabilities And Limitations
note
156What We Mean By AInote
157How AI Gets Its Characternote
158Next Token Predictionnote
159Try It Outnote
160Knowledgenote
161Try It Outnote
162Working Memorynote
163Try It Outnote
164Steerabilitynote
165Try It Outnote
166When Properties Collidenote
167Next Stepsnote
168Course Quiznote