AI for leaders
MCP for Leaders: Concepts and Business Applications
An introduction to MCP for leaders, covering core concepts, business applications and leadership use cases.
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Course topics
AI for leaders
- MCP concepts
- Business applications
- Leadership use cases
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For business, strategy and operations leaders; no technical or coding experience is required.
- Starting point
- Check requirements
- Course length
- 3 total hours
- Lessons
- 26 lectures
Course by School of AI
Course last updated: 02/2026
Requirements
- No technical or coding experience is required
- Designed for business, strategy, and operations leaders
- Basic familiarity with enterprise workflows and digital tools is helpful
- Ideal for executives, department heads, and innovation managers
- Access to organizational workflows or AI initiatives for application is a plus
- Curiosity and a willingness to rethink traditional automation approaches
What is included
- Role Play
- 3 hours on-demand video
- Access on mobile
- Certificate of completion
DoJo membership: A$250 per month per seat, excluding GST. Includes fortnightly group support and a private member community.
Explore the lessons
Course curriculum.
6 sections • 26 lectures • 2h 50m total length
Executive Introduction to MCP6 lectures • 36min
- Certificate of Completion00:29
- What is MCP?08:34
- Why MCP Matters in the Age of AI Agents05:57
- Business Impact: From Static Models to Dynamic Contextual Systems05:32
- Real-World Use Cases Across Industries08:08
- How MCP Fits into Your AI Strategy06:55
- Making the Case: Convincing the C-Suite on MCP
Core Concepts Behind MCP4 lectures • 28min
- Context in AI: What It Means and Why It’s Crucial05:23
- MCP Architecture Overview (No-Code Explanation)08:03
- Context Routing, Agents, and Protocol Layers06:57
- Connect the Dots: Demystifying MCP Architecture for the Enterprise
- How MCP Enables Multi-Modal Intelligence (Text, Voice, Code, More)07:15
Business Applications of MCP4 lectures • 25min
- Enhancing Decision Intelligence with MCP06:16
- Autonomous Agents for Operations, HR, and Customer Service06:12
- Autonomy with Accountability: Introducing MCP Agents to Your Team
- Using MCP in RAG (Retrieval-Augmented Generation) Systems06:40
- Compliance, Auditing, and Explainability via Context-Aware Agents06:00
Leadership Use Cases and Strategies4 lectures • 25min
- Building AI-Ready Teams with MCP Principles06:28
- Choosing Between Internal vs External MCP Implementations06:11
- MCP for Strategic AI Governance06:11
- Govern the Invisible: Justifying MCP Governance to the Risk Committee
- Budgeting and ROI: MCP Cost vs Value06:23
Tooling and Ecosystem for Executives4 lectures • 29min
- Overview of MCP Tooling (e.g., LangGraph, Firecrawl, Chroma)07:07
- Open-Source vs Enterprise Solutions07:38
- Integration with Existing Systems (CRM, ERP, etc.)06:57
- Plugging It In: Aligning MCP with Enterprise Tech Stacks
- Security and Data Ownership in Local MCP Deployments07:12
Case Studies and Vision Planning4 lectures • 28min
- Case Study: MCP in a Fortune 500 Enterprise07:29
- Case Study: Local MCP for Confidential Document Q&A07:13
- Vision Workshop: Designing Your First Context-Aware AI Initiative06:37
- Design the Future: Leading a Vision Workshop on Context-Aware AI
- Executive Roadmap: Becoming a Context-Driven Organization07:08
From learning to practice
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Map a fictional business workflow and describe where connected AI context might be useful.
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