Section 7: Installing and Configuring Claude for Desktop
- The difference between Claude on the web and Claude for Desktop, and installing it on Windows and macOS
- Enabling the Virtual Machine Platform on Windows and fixing common issues
- The central Cowork settings: choosing the working folder and permission level, and verifying system readiness
Section 8: Getting to Know Cowork Mode and Agentic AI
- What Cowork Mode is and the agentic AI concept: plan, act, check and self-correct
- Multi-step tasks: issuing a long multi-step instruction and letting Claude carry on
- Requesting folder access safely, and reading/interpreting what Claude is doing, with stopping or redirecting midway
Section 9: Using Cowork to Manage Files and Produce Real Work
- Having Claude survey a folder, summarize its files, and categorize, rename and move many files by your rules
- Safety practices: backing up files, using a staging folder and confirming before deletion
- Workshop: organize a mixed simulated work folder and produce a report summarizing the whole folder
Section 10: Advanced MCP Connectors for External Tools
- What MCP (Model Context Protocol) is and an overview of usable connectors such as Slack, Notion, Google Workspace and task systems
- Installing, connecting and testing a connector safely, and producing submission-quality files (.docx, .xlsx, .pptx, .pdf)
- Workshop: build an automated workflow that pulls data from an external source, summarizes it and outputs a presentation file
Section 11: Skills - Work Standards Embedded in the AI
- What a Skill is, how it differs from a Prompt or Project, its structure, and writing descriptions so the AI invokes it at the right time
- The benefits of Skills (consistency, less training time, knowledge transfer) and creating, editing, testing and sharing them
- Workshop: build a "Corporate Brand Identity" Skill that forces every document to use the organization's colors, fonts and tone
Section 12: Applying Skills to Real Organizational Work
- How to choose work suited to a Skill (repetitive, high-volume, clear criteria) and examples in HR, sales, accounting and customer service
- Setting evaluation criteria and quality control, with precautions around bias and personal data
- Workshop: build a candidate-screening system from many resume files with an automatic scoring table
Section 13: Web Control and RPA with Claude in Chrome
- Installing and configuring the Claude extension on Google Chrome and having Claude open sites, read data and summarize
- Web scraping and automatic form filling, with legal and ethical precautions
- Workshop: an RPA Challenge - automatically enter data into a web form from a source data file
Section 14: Task Schedule, Live Artifact and Building a Landing Page
- What Task Schedule is, which tasks suit scheduling, and setting daily, weekly and one-time future tasks
- Live HTML Artifacts that fetch fresh data each time they open, and a 10-minute technique to build a landing page
- Workshop: build a personal work-tracking dashboard and schedule a task to summarize work every morning
Section 15: Capstone Workshop
- Brief: design and build one AI workflow for the learner's own real work, starting by identifying the most time-consuming routine task and breaking it into steps
- Design the Prompt, Project or Skill for the task, use Cowork to process real files and produce output files, then schedule a task or connect a connector to keep it running
- Present the work and estimate the time saved per month
Section 16: AI Strategy, ROI and Safe Practices for the Organization
- Assessing the value of AI, measuring time saved and basic ROI, and sequencing AI adoption in the organization
- Data-security practices, what data should not be entered into AI, and setting a basic organizational AI usage policy
- Reviewing AI output and keeping human responsibility (human in the loop), plus resources for further learning