Course Overview
This project-based course equips product managers, engineers, and entrepreneurs with the end-to-end skills needed to design, develop, and deploy successful AI-powered products and services. Participants will learn AI product strategy, technical architecture, UX design for AI, and go-to-market planning – culminating in building their own AI prototype.
Course Objectives
By completing this course, participants will be able to:
✅ Define viable AI product opportunities
✅ Design ethical and user-centric AI experiences
✅ Architect scalable AI solutions
✅ Build an AI prototype using no-code/low-code tools
✅ Validate AI products with real users
✅ Launch AI services with proper monitoring
Who Should Attend?
🟢 Product Managers transitioning to AI products
🟢 Software Engineers expanding into AI development
🟢 Entrepreneurs building AI startups
🟢 UX Designers working on AI interfaces
🟢 Business Leaders overseeing AI initiatives
(Technical and non-technical tracks available)
Course Modules
Module 1: AI Product Strategy & Opportunity Identification
- The AI product landscape
- Spotting high-potential AI opportunities
- AI feasibility assessment framework
- Workshop: Ideating your AI product
Module 2: Designing AI User Experiences
- Principles of human-AI interaction
- Designing for trust and transparency
- Handling AI errors and uncertainty
- Case study: Best/worst AI UX examples
Module 3: AI Technical Architecture
- Components of an AI system
- Data pipelines and infrastructure
- Build vs. buy decisions
- Hands-on: Mapping your product’s tech stack
Module 4: Prototyping AI Solutions
- No-code AI tools (GPT, AutoML, etc.)
- Rapid prototyping methodologies
- Lab: Building your first AI prototype
- Testing with real users
Module 5: Responsible AI Development
- Bias detection and mitigation
- Privacy and security considerations
- Compliance frameworks
- Workshop: Ethical review of your product
Module 6: Launching & Scaling AI Products
- Go-to-market strategies for AI
- Pricing AI products and services
- Monitoring and improving live AI systems
- Capstone: Final product pitch