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LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE

INTRO TO AI PRODUCT DESIGN

Dates: 10 SEP 2024 - 24 OCT 2024
Duration: 7 WEEKS
TUESDAYS & THURSDAYS
5 PM BST
AVRIL HSU
CURRENTLY AT DELL
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE ON INTRO TO AI PRODUCT DESIGN
DATES:
10 SEP 2024 - 24 OCT 2024
DURATION:
7 WEEKS
TUESDAYS & THURSDAYS
5 PM BST

Gain essential AI literacy and learn to prototype, test, and refine AI solutions to create innovative products that address emerging user needs or solve existing problems in a new way.

Unlock your design potential to future-proof your career and thrive in the paradigm shift with Avril Hsu, Design Leader in GenAI, currently at Dell.

THIS COURSE IS FOR YOU, IF...

  • YOU ARE A PRODUCT DESIGNER AIMING TO LEVERAGE AI

     

    Elevate your design skills with essential AI/ML fundamentals and ethical AI considerations. You’ll explore multi-modality interactions, Deep Learning applications, neural networks, Generative AI, and their real-world uses to stay ahead in the product design field.

  • YOU ARE A UX/UI DESIGNER LOOKING TO BOOST YOUR EXPERTISE

     

    As a UX/UI designer, enhance your skills within the AI landscape. You’ll learn the Human-centered AI principles and each critical stage from ideation to launch. You’ll master AI-specific prototyping and inclusivity principles to create innovative, compliant and user-focused solutions.

  • YOU WANT TO IMPROVE YOUR SKILLS AS A CREATIVE PROFESSIONAL

     

    For creative & art directors, digital product & project managers, you’ll receive everything needed to enhance your AI/ML expertise and cross-team collaboration techniques. It will help you set up AI products for success by building trust and fostering adoption with customers. You’ll get a solid start in the industry with tips on building your AI portfolio and career insights from top guest speakers.

YOUR ASCENT STARTS HERE

According to Forbes, job listings mentioning AI offer salaries 20% higher than those that don't. 

Master constructive feedback, UI, and interaction design to create engaging AI-driven user experiences. Tackle ethical concerns, develop sustainable information architecture, and gain real experience in prototyping and refining AI solutions. 

Live learning = knowledge + opportunity tailored to your needs in real-time.

Join us to engage, interact and elevate your skills with expert guidance in a dynamic online classroom. Together with peers, learn to collaborate with cross-functional teams to guide AI products from concept to launch.

 
ABOUT THE COURSE
01
PRACTICAL LEARNING

Navigate through 8 comprehensive assignments. You’ll learn to analyse real-world products, create mitigation strategies, build an executive summary to document your MVP, craft detailed prototypes, and more! Everything – hands-on.

02
CASE STUDIES & WORKSHOPS

Explore real-world examples, from Gartner's AI Business Use Case Prism to lean experimentation ideas. We’ll equip you with insights to craft the best possible AI solutions and tackle the complexities of product development with confidence.

03
FINAL PROJECT FOR CAREER BOOST

Design a cutting-edge AI solution integrated seamlessly into a product design. Cover essential stages, from backcasting to prototyping. Craft your vision, all while learning how to build an impressive AI portfolio for your success in the job market.

INSTRUCTOR
  • Design Leader in GenAI based in Silicon Valley, currently at Dell
  • Leads product design and innovation in the tech industry, spearheading transformation initiatives since 2006
  • Pioneers AI-driven products, innovates infrastructure architecture, and advocates for GenAI to enhance human performance and creativity in communities like Second Brain
  • Advises on boards for Product & Innovation at Rutgers, CX at C.T. Bauer, and Sustainability at GREEN, guiding academic research and next-gen development 
  • Recognised with 18 awards, including IDEA, iF, and Red Dot, and a frequent guest speaker at industry events & Dell’s programs
AVRIL HSU
COURSE INTRODUCTION
syllabus
00
MON (9/9), 5 PM BST
Meet Your Instructor & Course Overview

Today marks the beginning of your AI career. You’ll get introduced to your capstone project which consists of a product brief, a presentation slide and a prototype.

 

  • Instructor introduction
  • Your Myers Brigg personality & thinking style
  • AI career development brief: Gain AI knowledge & use AI for better innovation
  • Course objectives, expectations & flow
  • Capstone project 
  • Q&A
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01
TUE (10/9), 5 PM BST
AI is a Tool to Extend Human Capabilities, Not Replace Them

Through the industrial, cloud, and AI eras, designers have always played a central role. Learn to identify and evaluate factors affecting the current and future AI job market.

 

  • State of AI: development & technology adoption life cycle overview
  • Design’s role & job opportunities 
  • Human-centred AI design & the AI product life cycle 
  • Case Study: Gartner’s AI business use case prism
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02
THU (12/9), 5 PM BST
AI Fundamentals: Intelligent Systems & Machine Learning

Learn key concepts of AI, ML, Deep Learning, Gen AI, algorithms, and their relationship with each other. As you build up your knowledge of AI-related terminology, you'll analyse their user implications and benefits

 

  • Technology literacy needed for AI product design
  • AI tools that increase technology literacy and UX implications
  • Algorithms: Supervised vs. unsupervised and working principles of clustering 
  • Case Study: Real-world linear regression prediction

Assignment #1: Choose an AI business use case area for your AI product design career. Identify 3-5 real-world products in that area, both good and bad, as role models. Analyse the use case and examples, listing user implications and benefits of applying AI. 

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03
TUE (17/9), 5 PM BST
AI to GenAI Readiness: Deep Learning & Other Emerging Technologies

In this class, you’ll explore neural network architecture, product design applications, and the potential of Generative AI. We’ll also get into Recurrent Neural Networks, Natural Language Processing & Large Language Models. 

 

  • Deep Learning applications
  • Overview of Generative AI
  • RNN, NLP & LLM explorations
  • UX tech radar: RAG, agents, emotional inference
  • Demo: Generative AI in action
  • Case study: Agents and emotional inference early prototypes
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04
THU (19/9), 5 PM BST
Designing Human-Centred AI Experiences

Exceptional user experiences start with exceptional strategizing. This includes brainstorming facets such as explainability, transparency, inclusivity and diversity. Let’s design with the users in mind. 

 

  • Human-centred AI, UX/UI, and interaction & data-driven design
  • Case study: Visualising AI-driven recommendations
  • UX tech radar: AI usage approaches: ChatGPT, SORA, Devin, Rabbit (LAM) & Hume
  • Case study: Real-world augmenting examples
  • Workshop: Identify problems or challenges that AI can solve

Assignment #2: Revisit your chosen use case and solidify a problem space that AI can better solve. Identify two human interaction touchpoints where AI would be most beneficial. 

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05
TUE (24/9), 5 PM BST
Trustworthy AI: Data & Ethics Baked in AI Product Design

Customer trust secured. Foster the creation of AI systems that prioritise ethicality, fairness, and inclusiveness, reflecting societal principles and addressing user needs.

 

  • Biases & risks in AI algorithms & data
  • Fairness, inclusivity & alignment with societal values in AI design
  • Adherence to regulations & standards for data protection & privacy
  • Case study: EU AI act 
  • Workshop: Identify & plan to mitigate potential risks

Assignment #3: Review your project, identify potential issues & write mitigation strategies to reduce risks early. 

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06
THU (26/9), 5 PM BST
Setting Clear Goals for AI Products

Think ahead. Learn to choose appropriate Key Performance Indicators (KPIs) and leverage user feedback to refine your product. This will set your product up for success. 

 

  • Backcasting methodologies
  • Product objectives: Setting clear & measurable AI integration goals
  • KPIs: Identifying metrics that evaluate AI product success
  • The one must-have KPI for every AI product 
  • Iterative design: Incorporating user feedback for continuous improvement

Assignment #4: Product Invention: Develop an AI product to address the market space and problems identified in assignments #1-3. Use backcasting to outline the product's vision, expected outcomes, risks, and implications.

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07
TUE (1/10), 5 PM BST
Your AI Product’s MVP: Generate Trusted, Effective & Affordable AI Solution Concepts

Build what matters. Analyse your Minimum Viable Product (MVP). Check out which tools and platforms can aid you in prototyping products that align with your goals.

 

  • The MVP’s role in AI product development
  • AI model training cost: building trust & performance scaling 
  • Rapid & interactive prototyping methods for AI solutions
  • User testing & iteration for problem resolution
  • Case study: Real-world MVP in AI product development

Assignment #5: Create an executive summary for your MVP, explaining its value to the business and user. Start building your AI product prototype.

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08
THU (3/10), 5 PM BST
Human-Centred Information Architecture for AI Products

Zoom in on your users. Map out their journeys by creating personas and scenarios. Adopt user alignment strategies to outline user goals, AI features and modalities.

 

  • Information architecture: input, output & hierarchies
  • Multi-modality in the AI era: Organizing and Structuring Data for AI Applications
  • User Alignment Strategies to map user goals, AI features, and modalities
  • Essential tasks in AI product information architecture
  • Demo: Use AI tools to research & identify potential data sources
  • Case study: B2B & B2C brands assess their entire offering & information structure

Assignment #6: Define 1-2 flows to prototype. Detail data hierarchy and wireframe interactions. Use AI tools to map data sources and create a flow diagram.

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09
TUE (8/10), 5 PM BST
Designing Flows, User Experiences & Layouts that Put Users in the Driving Seat

Spark user interest with creative design. Understand UX design’s job in enhancing engagement and product adoption – making user experiences intuitive. 

 

  • User flows for AI-powered interactions
  • User control design at each interaction point
  • Intuitive & seamless multimodal experiences in AI products
  • Case study: Multimodality in action

Assignment #7:Enhance your concept using text, imagery, audio, and video. Prototyping: Design details with various modalities.

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10
THU (10/10), 5 PM BST
Prototype & Test Your Hypotheses in Your AI Solution

Create a structured plan for testing ideas and reducing risks. Design prototypes strategically to confirm AI-driven product concepts. Ensure alignment with strategic goals in an incoming workshop. 

 

  • Common research methods in AI initiatives
  • Lean experimentation
  • Leveraging research data
  • Testing, refinement & feature
  • Case study: Lean experiment & prototype
  • Workshop: Lean experiments: hypothesis, validation methods & early derisking

Assignment #8: Create a lean experiment plan with a hypothesis, validation methods & risk mitigation. Fine-tune the prototype for the experiment.

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11
TUE (15/10), 5 PM BST
AI Product Development Cycle: Fostering Adoption

Monitor the AI landscape. Keep a pulse on emerging micro trends and customer expectations as you navigate the AI product lifecycle you’ll learn how to address unknowns, risks and emerging directions. 

 

  • Implications of exponential market speed
  • Nuances in the product development cycle for AI products
  • Phases of the AI product development lifecycle
  • Planning, development & deployment of AI solutions
  • Workshop: Inventive risk mitigation strategies for AI product development
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12
THU (17/10), 5 PM BST
Design Reviews, Presentations & Showcasing AI Potential Before Coding

Perspectives steer your product’s future. Amp up iteration with constructive suggestions and address stakeholder concerns with presentations.  

 

  • Purpose & importance of design reviews
  • Structuring productive design reviews
  • Effective storytelling for AI product design
  • Constructive feedback response & iteration
  • Design documentation & presentations
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13
TUE (22/10), 5 PM BST
Capstone Project Presentation + Collaboration in High Profile & Uncertain AI Initiatives

Collaborate as a single mind. Through compelling storytelling and agile workflows you’ll unite design and technical teams. 

 

  • Simulated peek into high-profile & uncertain AI initiatives 
  • Engaging developers, data scientists & business stakeholders
  • Communication practices to bridge design & technical teams
  • Communication tools to foster collaboration between AI teams
  • Contributing back to the community
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14
THU (24/10), 5 PM BST
Building Your Professional Journey in AI Product Design: Skill Sets & Resources + Guest Speaker

It’s time to elevate your career. Discover what to include in your portfolio to make it as compelling as possible. Build a Personal Monopoly with the insights from the experts to stay in high demand. 

 

  • Secret recipes for keeping up with AI nuances & breakthroughs
  • Skills & qualifications for different roles in the AI product design field
  • Fresh industry insights for your AI career journey
  • Professional AI portfolio

Final Project: AI solution integrated into a product design students can work on throughout the assignments.

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What our students say

Danni Veng
AI IN MARKETING
"This course was a game-changer for me, skillfully blending practical AI applications with real-life scenarios. It has opened my eyes to new prompt techniques and AI frameworks, greatly expanding my professional capabilities. As a result, I now tackle tasks with increased efficiency and confront challenges with innovative methods that were once out of my scope. Albert Chain's thoughtful and inclusive teaching style made every lesson not only enjoyable but also deeply impactful."
Natasha Izmen
UI/UX FOR GAMING
"I am so happy I stumbled across ELVTR on instagram. I have been freelancing as a logo designer while working other jobs, trying to get my foot into the games industry as a UI Artist. But my portfolio wasn’t strong and I didn’t have a clear understanding of UI.

This course has really helped me understand UI and UX; especially having someone from the industry teach the course, it has given me insight of what is expected as a UI/UX Designer/Artist. I now feel confident in getting my dream job :)"
Jody Whittle
ART DIRECTION
"My expectation were thoroughly exceeded. The detail and support given were unique to this course and it covered the subject comprehensively. I looked forward to each class, felt both comfortable and creatively challenged and I’ve made professional connections that have already lead to exciting opportunities. Loved every aspect of the course and I cannot wait to continue my studies with the next ELVTR course! "
Natalia Starzynsk
UI/UX FOR GAMING
"I was looking for a learning resource due to a shift of my responsibilities in my company. I'm very happy that I took part in the 'UI/UX for Gaming' course, because it helped me greatly in my current job. I'm actively using the knowledge that Ariel has passed through this course. It was truly a wonderful experience as he is a passionate individual with a deep knowledge on the UI/UX topic. His enthusiasm and passion was contagious, which positively impacted my learning experience. I'm very thankful to ELVTR for organizing such a wonderful opportunity to learn from the expert in the UI/UX field. I highly recommend this course to anyone who wishes to learn from scratch or expand their UI/UX knowledge. Materials were easy to understand, packed with knowledge and tasks were interesting. Overall, it was truly a pleasure to work with our Program Manager Jordan, Ariel Mallo and ELVTR"
Bastian Schertel
AI IN MARKETING
"Course review: The course "AI in Marketing with Albert Chan" was very well organised from start to finish. Albert even surprised me with some industry-leading experts as guest speakers. The course not only gave me new insights into the world of AI, but also helped me leading my team and company into AI optimised workflows.

ELVTR review: The ELVTR Team was super helpful with all my questions before the class. During the Class Jordan and his Team organized and handled the course really professionally and have been great moderators. I would definitely book another course!"
Kiara De Leon Hernandez
UI/UX FOR GAMING
"The knowledge. The teacher is very experienced. He is able to answer our questions in depth, and takes the time to do so."
Anibe Agamah
PRODUCT MANAGEMENT FOR AI & ML
"The Product Management for AI & ML course was well designed content, covering general Product Management principles within the context of AI, using practical real-world examples. The take-home assignments were challenging, but necessary for practicing what was taught. It was my first in-person course for a long time so it was refreshing to have very engaged instructor and classmates."
Michał Ilends
UI/UX FOR GAMING
"Ariel included and applied a lot of real life knowledge within his teachings, this was one of best things about the course."
Sudharsshan (Sid) Mohan
PRODUCT MANAGEMENT FOR AI & ML
"Completing the AI/ML Product Manager course with Ashwin was truly immersing. Throughout the program, Ashwin's guidance and expertise ensured a perfect blend of theoretical knowledge and practical application, equipping me with the framework needed to confidently navigate AI and ML projects. This comprehensive course not only expanded my understanding of product management in the AI but also provided invaluable insights into approaching problems through an AI/ML lens. More importantly, the program focuses on functional non-technical frameworks which are recommended to ensure you don't veer off course through your product development. Thankful for taking this up with Ashwin & ELVTR."
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