Day 1: Foundations, Workspace Architecture, and Browser Automation

Introduction to the Claude Agentic Ecosystem

• Understanding the AI spectrum: Claude Chat vs. Claude Code vs. Claude Cowork
• Subscription requirements, enterprise licensing tiers, and usage limits
• Core architecture of autonomous agents: Planning, tool execution, and self-correction
• Exploring the parallel background execution engine and persistent artifacts

Environment Setup, Security, and Desktop Controls

• Installing and enabling Cowork mode within the Claude Desktop interface
• Digital hygiene: Granting safe folder permissions and local file system access
• Setting up sandboxed boundaries to prevent unintended system actions
• Executing your first basic multi-step file manipulation task

Workspace Management, Context Control, and "Business Brain" Configuration

• The structural importance of persistent workspace memory
• Creating and optimizing the CLAUDE.md and MEMORY.md directory architecture
• Implementing the "300-Line Rule" to prevent context degradation and memory drift
• Establishing global instruction files and a master "Business Brain" root profile
• Session pruning, archiving legacy conversations, and data cleanup strategies
• Migrating a standard conversational Claude Project into a standalone Cowork workstation

Browser Use, Web Research, and Background Workflows

• How Claude navigates the live web using background Chromium automation
• Initiating deep market research, competitive analysis, and due diligence sessions
• Leveraging the Claude in Chrome browser extension for real-time manual data gathering
• Overcoming HTML scraping hurdles to extract clean, structured data from complex sites
• Monitoring parallel background research tracks while working on primary tasks
• Executing an autonomous, end-to-end SaaS market analysis and compiling a structured findings report

Day 2: MCP Integrations, Custom Skills, and Scheduled Automations

Expanding Agent Capabilities with Connectors and MCP

• Overview of native cloud Connectors (Gmail, Google Calendar, Google Drive, Notion)
• Authenticating, authorizing, and securing external application data channels
• Introduction to the open-source Model Context Protocol (MCP) architecture
• Connecting advanced third-party developer tools (e.g., YouTube transcript extraction via Composio MCP)
• Integrating productivity webhooks and software dashboards (e.g., Fireflies meeting notes, platform metrics)
• Chaining cross-application tool workflows to eliminate manual copy-pasting

Building Custom Reusable AI Skills

• Differentiating between a general Cowork Workstation and a specialized, reusable Skill
• Writing explicit, high-signal instruction templates and prompt definitions for custom skills
• Building an automated Document-to-Presentation Skill
• Designing an Infographic and Visual Asset Generation Skill
• Content repurposing frameworks: Transforming raw long-form audio/video into structured social media
• Financial and administrative automation: Expense report sorting, receipt parsing, and data visualization
• Testing, versioning, and refining custom skills with evaluation examples
• Reviewing and utilizing persistent artifact outputs effectively

Scheduled Tasks, Dispatch, and Production Workflows

• Introduction to Scheduled Tasks and time-driven autonomous automations
• Configuring autonomous daily triggers (e.g., building a "Morning Brief" pipeline)
• Utilizing the "Dispatch" feature to chain multiple background actions
• Managing token usage, monitoring tracking data, and optimizing execution costs
• Troubleshooting runtime errors and gracefully managing permission popup interruptions
• Sharing skills, workspaces, and automations across teams
• Developing an end-to-end autonomous business workflow from the ground up
• Course capstone: Designing, deploying, and validating a production-ready autonomous workflow