Course Title: AI Masterclass
Duration: 4 Weeks (Self-Paced)
Format: Advanced lessons, real-world case studies, hands-on builds, capstone project
Level: Intermediate (basic familiarity with AI tools recommended)
Outcome: Certificate of Completion + AI Strategy & Implementation Portfolio
Course Overview
This masterclass goes beyond fundamentals to show how AI can be strategically applied, integrated, and scaled across real-world workflows. Learners will build AI systems, evaluate tools, and develop a practical AI implementation strategy.
Weekly Breakdown
Week 1: Advanced AI Foundations & Capabilities
- Rapid recap of core AI concepts
- How modern AI systems work:
- Large Language Models (LLMs)
- Generative AI (text, image, code)
- Strengths vs limitations of AI systems
- Prompt engineering fundamentals:
- Structuring effective prompts
- Iteration and refinement
- Overview of leading AI tools:
- ChatGPT
- Claude
- Midjourney
Hands-on Activity:
- Prompt engineering lab: refine outputs for quality and accuracy
Output:
- Prompt library (reusable templates)
Assessment:
- Quiz + prompt exercise
Week 2: AI Systems & Workflow Design
- From tools to systems: thinking in workflows
- Designing AI-powered processes:
- Input → Processing → Output
- Multi-step AI workflows
- Introduction to automation tools:
- Zapier
- Make
- Integrating AI into daily operations
- Use cases:
- Content pipelines
- Research automation
- Lead generation systems
Hands-on Activity:
- Build a multi-step AI workflow
Output:
- Functional AI system
Assessment:
- Practical assignment
Week 3: AI for Business Impact & Decision-Making
- Applying AI across business functions:
- Marketing
- Operations
- Customer experience
- Using AI for insights and decision support
- Evaluating AI tools and vendors
- Measuring ROI of AI initiatives
- Case studies: successful AI adoption
Hands-on Activity:
- Analyze a business and identify AI opportunities
Output:
- AI opportunity assessment report
Assessment:
- Scenario-based quiz
Week 4: Strategy, Scaling & Future-Proofing
- Building an AI strategy:
- Goals and alignment
- Roadmapping implementation
- Scaling AI systems across teams
- Risks and governance:
- Bias
- Security
- Over-reliance on AI
- Human + AI collaboration models
- Future trends in AI
Capstone Project:
- Develop a complete AI Implementation Plan:
- Problem or opportunity
- AI system design
- Tools and workflows
- Expected outcomes (ROI, efficiency)
- Risks and mitigation
Final Assessment:
- Capstone submission + final evaluation
Certification Requirements
To earn certification, learners must:
- Complete all modules
- Submit weekly assignments
- Achieve passing quiz scores (e.g., ≥70%)
- Successfully complete the capstone project
Learning Outcomes
By the end of this masterclass, learners will be able to:
- Design effective prompts and workflows using AI
- Build multi-step AI-powered systems
- Evaluate and select appropriate AI tools
- Apply AI strategically in business contexts
- Develop and present a complete AI implementation plan
Included Resources
- Advanced prompt library
- Workflow design templates
- AI tool comparison guide
- Strategy & ROI calculator templates
Optional Enhancements
- Live “build-with-me” sessions
- Capstone feedback from instructors
- Private community for sharing workflows
- Bonus: AI trends and emerging tools
Instructor
