Human AI Interaction - Designing Agency, Intelligence and Power
A four-week cohort course designed to equip participants with the skills to build AI-driven products that prioritize user experience.
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Course overview
AI Product Design Boot Camp, learn No code AI-UX User-Centric Innovations.
This intensive three-week course equips participants with the skills to design AI-driven products that prioritize user experience. Through interactive lectures, hands-on projects, and rapid prototyping, students will learn to integrate AI technologies with user-centric design principles, from conception through testing and refinement, culminating in a market-ready AI product.
Who is this course for
01
UX and UI designers, along with product managers, who are looking to deepen their understanding of how AI influences the design process.
02
Entrepreneurs and founders of startups who want to leverage AI technologies to solve user problems and gain competitive advantage
03
Individuals with a background in technology who wish to expand their knowledge into AI-driven product design
What you’ll get out of this course
Design AI solutions that effectively meet user needs.
Designing AI solutions that meet user needs involves understanding user behavior, precise goal setting, and iterative development. Emphasize user-centric design, ethical considerations, and robust testing to ensure the AI delivers accurate, reliable, and beneficial outcomes.
Rapidly prototype and iterate AI products using AI/UX design methods.
Rapidly prototype and iterate AI products with the AI/UX design method, combining artificial intelligence and user experience principles. Streamline development, enhance user engagement, and ensure seamless integration by leveraging data-driven insights and agile testing.
Navigate ethical considerations in AI product design.
Navigating ethical considerations in AI product design involves ensuring fairness, transparency, and accountability. Mitigate biases, protect user privacy, and comply with regulations. They must also prioritize inclusivity, avoid harmful impacts, and engage stakeholders
Develop and pitch a comprehensive AI product.
By the end of this course, you'll have created an AI product design, ready as either a beta version or a prototype for an engineering briefing, using tried and proven methods.
What’s included
Live sessions
Learn directly from Germán León in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
5 live sessions • 12 lessons • 4 projects
Week 1
Purpose:
Reframe AI from a technical system into something humans emotionally react to and project meaning onto.
Module description:
We explore why AI triggers fear, excitement, and intimacy, and how these emotions shape trust, adoption, and interaction.
We view AI as both a perception machine and a power structure, not just a tool.
Covers:
Why AI feels different from previous technologies.
Fear, desire, control, and authority
AI is not new, but our relationship with it is
Output:
A value proposition
- 📄
What Is Artificial Inteligence
- 📄
What is Interaction Design
Goal
Use AI to generate clear hypotheses about users and make assumptions explicit before real research.
We create synthetic personas, simulate goals and fears, and map what we assume vs what we do not know. Synthetic users are used to surface blind spots, not to validate ideas. All outputs become questions to test with real users in Week 2.
- 📄
Creating Synthetic Personas
- 📄
Assumptions VS Unknowns
- ✍️
Build a Synthetic Persona and Test Your Value Proposition
Submit by Jan 6 Overview:
Impact of human psychology on UX design.
Exploring human impulses and decision-making in the context of UX.
Topics:
Human-machine interaction and designing habit-forming products.
Cognitive ergonomics in UX design.
Activities:
Workshops on integrating empathy and ethics into UX design.
Exercises on designing accessible and user-centric interfaces.
- 📄
Preparing Real User Conversations
Overview:
Practical approach to creating engaging UX with machine learning.
Design, test, and implement AI-driven UX solutions.
Topics:
User-centered technology, content strategy, interface development.
Using AI tools and resources to enhance UX design.
Activities:
Designing and testing AI-enhanced wireframes and UI prototypes.
Collaborative projects on creating responsive AI-driven UX designs.
- 📄
Reality testing and insight extraction
- ✍️
Reality Testing and Insight Extraction
Submit by Jan 6
Mar
17
Introduction to AI and Interaction Design Modules One and Two
Module 1, Ai as Perception and power
Module 2: Design and Development of Interactions
Module 3: Preparing Real User Conversations
Module 4: Reality Testing and Insight Extraction
Week 2
Mar
23
Fundamentals of Cognitive Science and Design Modulo Three y Four
Week 3
Overview:
Running usability tests and evaluating user interaction for AI solutions.
Iterative methodology for improving UX based on AI insights.
Topics:
A/B testing, heat maps, conversion funnels for UX evaluation.
Competitive usability tests and reporting for AI-driven projects.
Activities:
Conducting usability tests with real users.
Creating backlogs and prioritizing UX improvements based on AI data.
- 📄
What the Human Controls
- 📄
What the AI Is Responsible For
Overview:
Broad overview of AI applications relevant to UX design.
Designing, testing, and implementing AI algorithms in UX projects.
Topics:
Machine learning, search algorithms, Markov decision processes.
Constraint satisfaction, graphical models, and logic for UX solutions.
Activities:
Developing AI-driven UX solutions for specific problems.
Workshops on implementing AI algorithms in UX design scenarios.
- 📄
Core Interaction Loop
- 📄
Failure, Recovery, and Uncertainty
- ✍️
Define the Human-Ai Interaction Architecture
Submit by Jan 6
Mar
31
User Experience Architectures Modules 5 y 6
Module 5: Designing Human and AI Responsibilities
Module 6: Designing Interaction Loops and Failure Modes
Week 4
Overview:
Synthesizing all learning into a final AI-enhanced UX project.
Journey of discovery through learning by doing in UX design.
Topics:
Identifying UX opportunities, designing AI solutions, user-focused strategies.
Building and testing high-fidelity interactive UX prototypes.
Activities:
Ideation, validation, and strategy development for AI-UX projects.
Presenting final prototypes on demo day with peer and instructor feedback.
- 📄
Identifying UX opportunities, designing AI solutions, user-focused strategies
- 📄
Building and testing high-fidelity interactive UX prototypes.
Mentoring and Feedback:
Active mentoring sessions to optimize professional growth in UX.
Final feedback and evaluation of AI-UX projects.
- ✍️
Presenting final prototypes on demo day with peer and instructor feedback
Submit by Jan 6
Apr
7
Implementation of an AI Product Module Seven
Apr
10
Optional: Demo Day
Module 7: Implementation of an AI Product
Final Week Wrap-up
Bonus
Super power your carrer using Linkedin Automations
No module content yet
What people are saying
Regina dos Santos
Carlos Morales
Arcadi Poch
Stephanie Rodriguez
Meet your instructor
Germán León
Germán León
AI Maven and CEO at Helvetica Digital
Germán León, a distinguished AI UX Maven and the visionary founder of Helvetica Digital, is backed by a formidable academic background. He holds a Master's Degree in Interaction Design from Umeå University in Sweden, a renowned institution in the field, and a degree from the prestigious Massachusetts Institute of Technology (MIT) in the USA, where he specialized in AI design.
Germán's entrepreneurial journey reached a pinnacle with the successful sale of his brainchild, Gestoos, to Preact. Gestoos, an AI startup he founded, has been widely acclaimed for its advancements in Computer Vision and interaction. Featured in Forbes Magazine, Germán's journey and Gestoos' breakthrough in Artificial Intelligence for human-technology interaction have been spotlighted. Gestoos's proprietary developments in machine learning and applied AI have revolutionized how spaces and objects intelligently understand and anticipate human needs, aiming to embed the 'brains' (software) behind all the 'eyes' (cameras) around us, all while upholding privacy and intimacy as top priorities.
Prior to his groundbreaking work with Gestoos, Germán held key leadership positions at prominent companies. He served as the Managing Director at Oblong Europe, a company renowned for its association with the movie' Minority Report.' His career also includes a significant tenure at Vodafone Group, where he played a pivotal role in reshaping the company's mobile and Internet strategy. Germán's diverse experience and visionary leadership in the AI and UX domains have firmly established him as a luminary in the industry, driving forward innovations that seamlessly blend technology with human-centered design.
Course schedule
4-6 hours per week
Four Weeks
1:00 pm - 2:00 pm EST
You can learn and design your Artificial Intelligence Product Design in only Four weeks. We will also have office hours weekly to review the materials and answer any questions.
Dedicated Tutoring
Every Monday
We will have mentors to support you with your designs and Development of your product
Design your product during the course
Proven Design Framework
We will support you for four weeks while you learn and implement the design process and create a working prototype of your idea.
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you