Human-AI Collaboration Designers
The future is not AI replacing humans—it is humans and AI collaborating seamlessly. This pioneering course trains you to design the interfaces, workflows, and experiences where this collaboration happens. Learn to understand human cognitive capabilities and limitations, map AI strengths and weaknesses, design handoffs between human and AI, create transparent and explainable AI systems, and build trust through UX. Master prompt interface design, conversational AI flows, AI assistance patterns, and feedback loops that make AI systems smarter. Study real examples: GitHub Copilot, Midjourney, ChatGPT, and how their interfaces shape user experience. You will conduct user research for AI products, prototype AI-enhanced interfaces, test human-AI collaboration patterns, and design for both experts and novices. Understand ethical considerations: bias in AI, accessibility, consent, and transparency. This emerging field sits at the intersection of UX design, AI, and cognitive science. Companies building AI products desperately need designers who understand both humans and machines. Be among the first to master this critical skill.
Led by
Etchu Ferdinand
Join the Cohort
Limited spots available for the next intake.
Next Cohort Starts
Wed, April 1, 2026
Women's Day Offer
Pay the application fee by March 31, 2026 to allow us to review your application and lock in this 20% tuition discount.
Fee required to secure your interview slot.
Weekly Live Sessions
Interactive zoom classes with Etchu Ferdinand
Real-time Task Reviews
Get feedback on your weekly assignments
Community Access
Join the private discord for 24/7 support
What You'll Learn
Real-World Projects You'll Build
AI Writing Assistant Interface
Design an interface for an AI writing tool that assists without taking over
Technologies:
Outcomes:
- →Complete interface design
- →Interaction patterns
- →User testing results
- →Design system
AI-Powered Customer Service
Design the human-AI handoff for customer support
Technologies:
Outcomes:
- →Conversation flows
- →Handoff mechanisms
- →Agent interface
- →Customer experience map
Transparent AI Decision System
Design an interface that explains AI recommendations
Technologies:
Outcomes:
- →Explanation interface
- →Confidence displays
- →Override mechanisms
- →Trust metrics
Your Weekly Journey
10 weeks • Live FormatWeek 1Foundations of Human-AI Interaction
Understanding collaboration between humans and AI
Topics Covered:
- •Human cognition basics
- •AI capabilities and limitations
- •Collaboration patterns
- •Trust and transparency
- •Design principles
Week 2User Research for AI Products
Research methods specific to AI experiences
Topics Covered:
- •AI-specific research methods
- •Mental model elicitation
- •Expectation management
- •Trust measurement
- •Usability testing for AI
Week 3Prompt Interface Design
Design interfaces for AI interaction
Topics Covered:
- •Prompt engineering for users
- •Input design patterns
- •Suggestion systems
- •Error handling
- •Progressive disclosure
Week 4Conversational AI Design
Create natural dialogue flows with AI
Topics Covered:
- •Conversation design
- •Turn-taking patterns
- •Context management
- •Personality and tone
- •Multi-turn interactions
Week 5Transparency & Explainability
Make AI decisions understandable
Topics Covered:
- •Explainable AI (XAI)
- •Confidence indicators
- •Reasoning display
- •Feedback mechanisms
- •Trust calibration
Week 6AI Assistance Patterns
Design AI as assistant, not replacement
Topics Covered:
- •Co-creation patterns
- •Suggestion vs. automation
- •Human-in-the-loop design
- •Override mechanisms
- •Skill augmentation
Week 7Error Handling & Recovery
Design for when AI gets it wrong
Topics Covered:
- •Error prevention
- •Graceful degradation
- •Recovery flows
- •Learning from mistakes
- •User education
Week 8Accessibility & Inclusion
Design AI experiences for everyone
Topics Covered:
- •AI accessibility
- •Bias in AI systems
- •Inclusive design
- •Cultural considerations
- •Digital divide
Week 9Prototyping & Testing
Build and validate AI experiences
Topics Covered:
- •Prototyping AI interactions
- •Wizard of Oz testing
- •A/B testing for AI
- •Metrics that matter
- •Iteration strategies
Week 10Capstone: AI Product Design
Design a complete human-AI collaboration product
Topics Covered:
- •End-to-end design
- •Stakeholder presentation
- •Design documentation
- •Implementation handoff
- •Future vision
Capstone Projects
Apply everything you've learned in real-world projects
Skills You'll Master
Job-Ready Guarantee
Our curriculum is designed to get you hired. 92% of our graduates land a job within 6 months.
Your Mentor
Etchu Ferdinand
UX/AI Designer
Former Google AI designer now leading human-AI interaction at a top AI startup
Career Opportunities
- AI Product Designer
- Human-AI Interaction Designer
- Conversation Designer
- AI UX Researcher
- Product Manager (AI)