AI in Product Design Corporate Training
Corporate training that moves your team from AI curiosity to confident design practice.
Edstellar, the corporate training company behind this technical training, helps your employees learn, develop, and build real AI design craft. Your team practices concept generation, AI-assisted design reviews, and prototype testing in live sessions shaped around your design tools and workflows. Scheduling is set with you, and progress is measured at every stage so you can report results with confidence.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a confident AI design team
The Edstellar AI DESIGN Capability Model
Map AI design readiness
Pre-training checks map your team's current AI tooling, design skills, and workflow gaps.
One AI design standard
One shared playbook for prompting, AI review criteria, and prototype testing methods.
Rehearse design workflows
Guided practice covers concept generation, AI-assisted reviews, and prototype testing.
Prove the skills lift
Before-and-after reviews benchmark each participant's AI design skills.
Scale with confidence
One standard rolls out across teams, studios, and sites as your design practice grows.
Need more than one program?Get a group quote
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Program Overview: What is AI in Product Design Corporate Training?
AI in Product Design Corporate Training is Edstellar's instructor-led technical program for product designers, UX teams, and design leads who want AI embedded in their design practice. Participants learn AI foundations, AI-powered concept generation, AI-assisted design reviews, and AI in prototyping and user testing. The program closes with a capstone end-to-end AI design sprint.
Training is hands-on from the first module. Participants generate layout and style variants, run heuristic evaluation checks, and build rapid prototypes in guided labs centered on realistic design briefs. Instructors coach them through structured AI brainstorming, accessibility reviews, prompt libraries, and brand-safe guardrails, reviewing every exercise with direct feedback. The program closes with a capstone where each team runs an end-to-end AI design sprint from brief to final review.
Design teams lose days to slow iteration: concepts that take too long to explore, reviews that miss consistency issues, prototypes stalling before testing. This program teaches designers to run AI inside their creative process, with guardrails that keep outputs brand-safe and usable. Every technique is practiced in labs, so learning transfers to the next sprint.
Each team takes a realistic brief from concept to tested prototype and presents the outcome. The guardrails they practiced keep the next hundred AI concepts on-brand too.
Across six modules, your team moves from AI foundations to a full design-sprint capstone. Use this training to upskill designers on current tools and reskill team members moving into AI-assisted workflows, building lasting in-house capability.
Delivered as a hybrid technical training, it fits around your operations. Better AI fluency lifts design performance and smooths teamwork between design, product, and engineering.
What's Included in this Workshop for Your Enterprise Teams
- 1
AI concept generation
Generate and compare design concepts with AI.
- 2
AI-assisted design reviews
Review screens for heuristics, access, and consistency.
- 3
Prototype testing with AI
Build prototypes and analyze test findings fast.
- 4
Workflow integration
Fit AI into your design system and daily workflow.
- 5
Capstone design sprint
Deliver a tested prototype in the final sprint.
- Training delivered at any of your offices globally
- 10+ languages
- Schedule around your calendar
- Group size set along with you
- Run as one cohort or split into batches
- Instructor-led (virtual/onsite/hybrid)
- Recurring and annual options
- Trainer sourcing, matching and logistics
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
AI in Product Design Course Topics and Program Outline
Across six modules, your team follows a practical learning path from AI foundations to a design-sprint capstone. Every session is customized around your design tools and workflows, with real-world use cases, hands-on labs, and take-home materials to reuse.
Designed by Edstellar and AI design experts
Built by product designers using generative AI in production workflows, shaped around your team before delivery.
Skill checks baseline your team's design process, tool fluency, and AI readiness before training begins.
Live instruction covers generative AI foundations, design tool capabilities, and prompt basics across 3 focused hours.
Guided labs build concept generation, AI-assisted reviews, and prototyping skill across 15 hours of supervised practice.
Your team delivers a complete AI design sprint in a 3-hour capstone, reviewed against quality and brand standards.
From AI design foundations to a capstone design sprint, every technique is practiced in guided labs.
Delivered as
Delivered as a hybrid program of live instruction and guided labs, scheduled around your team's calendar in flexible batches.
Explore AI design tools in a guided setup lab. Configure a safe workspace, run first prompts, and establish your technical baseline.
learna)How generative AI supports design work
b)AI design tools: what each one does best
c)Prompt basics for design outputs
d)Baseline review and safe AI practice
Run a guided concept sprint on a realistic brief. Generate layout and style variants, compare options, and select directions to develop.
practicea)Structured AI brainstorming techniques
b)Generating layout and style variants
c)Comparing and selecting concepts
d)Guided concept sprint lab
Review realistic product screens with AI assistance. Run heuristic, accessibility, and consistency checks, then validate each finding.
practicea)AI heuristic evaluation checks
b)Accessibility reviews with AI support
c)Design consistency audits
d)Validating AI review findings
Build an AI-assisted prototype and run a usability test. Analyze findings with AI support and turn insights into design fixes.
practicea)Rapid AI-assisted prototyping
b)Planning usability tests
c)AI-supported findings analysis
d)From insights to design fixes
Map AI into a realistic design workflow. Set brand-safe guardrails, organize a prompt library, and troubleshoot weak AI output.
practicea)Mapping AI into design workflows
b)Brand-safe AI guardrails
c)Prompt libraries and reuse
d)Troubleshooting weak AI output
e)Scaling AI use across the team
Capstone lab: take a realistic brief from AI concept generation through review to a tested prototype, then present your outcome.
applya)Sprint brief and planning
b)Concept-to-prototype build lab
c)Prototype testing and iteration
d)Final review and debrief
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Your team will leave able to apply AI across design: generate concepts, review designs, and test prototypes faster. These competencies are built and measured through practice in every module.
Set up AI design tooling
Configure generative AI tools for design work, choose the right tool per task, and establish safe, repeatable workflows.
Write strong design prompts
Craft prompts that produce usable concepts, layouts, and copy, then refine them through structured iteration.
Generate and compare concepts
Produce multiple design directions with AI, compare variants side by side, and select the strongest options to develop.
Run AI-assisted design reviews
Apply AI to heuristic checks, accessibility reviews, and consistency audits, then validate every finding manually.
Build AI-generated prototypes
Turn concepts into testable prototypes quickly using AI, ready for usability testing with real users.
Test with AI support
Plan usability tests, analyze findings with AI assistance, and convert insights into prioritized design fixes.
Troubleshoot AI output
Diagnose weak or off-brand AI output, adjust prompts and settings, and keep quality high at every step.
Teams that Benefit from this AI in Product Design Group Training
This training is built for product, design, and engineering groups using AI across the design process, from concept to tested prototype. Content adapts to role and background, so each cohort practices the workflows it owns.
Concepts and variants, generated in minutes.
Product designers generate more directions faster, review AI output critically, and keep craft quality high across every concept sprint.
Workflow friction
- Slow concept cycles when deadlines compress
- Inconsistent AI output quality across designers
- Prompt results that ignore brand constraints
How the program helps
- Generate concepts and variants fast
- Apply consistent AI review criteria
- Keep brand-safe AI workflows
Practice use cases
- Concept sprint labs
- Variant generation drills
- Prompt refinement labs
- Brand-safe AI checks
Prototypes and tests, powered by AI.
UX designers build rapid AI-assisted prototypes, run AI-supported usability tests, and turn findings into design fixes.
Workflow friction
- Prototype builds eating research timelines
- Usability tests that take weeks to analyze
- Hard to test enough variants with users
How the program helps
- Build testable prototypes in hours
- Analyze usability findings with AI
- Compare variants with synthetic users
Practice use cases
- Prototype build labs
- Usability analysis drills
- Variant testing labs
Sharper design decisions, backed by AI insight.
Product managers use AI to explore design directions, validate concepts early, and align teams on tested prototypes.
Workflow friction
- Design feedback cycles slowing releases
- Untested concepts reaching development
- Misaligned teams on design direction
How the program helps
- Validate concepts before build
- Shorten design review cycles
- Align teams on tested prototypes
Practice use cases
- Concept validation labs
- Review workflow drills
- Prototype walkthroughs
Design-to-code handoffs that stay clean.
Design engineers translate AI-generated concepts into build-ready specs and keep design systems consistent as AI scales output.
Workflow friction
- AI concepts that ignore technical constraints
- Design system drift as output volume grows
- Handoff specs missing edge cases
How the program helps
- Make AI concepts build-ready
- Guard design system consistency
- Document handoffs thoroughly
Practice use cases
- Spec writing labs
- System consistency checks
- Handoff review drills
Each team works through role-relevant scenarios, then leaves with reusable methods.
Prerequisites: This program benefits product designers, UX practitioners, and design leads bringing AI into their creative process. No prior AI experience is required; familiarity with design workflows helps. Content adapts to each cohort, from first AI experiments to teams standardizing AI across design operations.
Designer to AI Design Lead
Tracks how designers progress from AI foundations to leading design sprints across the program's learn, practice, and apply phases.
A program that grows with design careers, from AI-assisted basics to leading AI-driven design delivery.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Every mode is instructor-led and shaped around your design tools before delivery. The curriculum, labs, and capstone stay the same across hybrid, onsite, and virtual/online training, so results stay consistent however you run it.
Hybrid Training
Live instruction plus supervised lab practice across onsite and virtual sessions, in a blended format with real-time coaching. Your team works through realistic design exercises with LMS access to recordings and resources.
- Live instruction across onsite and virtual sessions
- Guided labs with instructor support
- Hands-on exercises on AI design tooling
- Best for flexible schedules with real interaction
Onsite Training
Your instructor delivers at your facility with labs set up for your team. Every participant works through design exercises with direct coaching. Best for co-located teams wanting maximum interaction.
- Instructor delivers at your facility
- Lab sessions on your design workflows
- Direct coaching during design exercises
- Best for co-located teams wanting maximum interaction
Live Virtual Training
Live sessions on your platform with remote access to the full lab environment. We run on Zoom or Teams, with breakout rooms for focused exercises and troubleshooting with the instructor. Ideal for distributed teams.
- Live sessions on your platform
- Cloud-based lab environments
- Screen-shared guidance through every lab
- Ideal for distributed teams across locations
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size, preferred dates, and delivery mode in the lead form. We reply with scope, schedule, and pricing details for your group, per batch.
Product designers, UX designers, product managers, and design engineers who shape product experiences. A baseline review maps each participant's starting level so sessions begin where your team is.
Yes. Sessions run live on your platform with remote access to the full lab environment and guided practice time. Scheduling is flexible and mutually agreed with you.
Yes. Your instructor delivers at your facility with labs set up for your team, coaching every participant through the exercises. Minimum and maximum participants are set with you based on lab capacity.
The training runs 21 hours across six modules, typically over three days. Modules can also be spaced across weeks for ongoing learning schedules.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
AI in product design comes after UX fundamentals and hands-on Figma skills, so AI speeds up a sound design process instead of replacing it. The final step closes the loop by measuring designs with product analytics and experiments.
Why Choose Edstellar as Your AI in Product Design Training Provider
If your team needs to apply AI across the design process with confidence, start here. Tell us about your team and goals, and we will shape this training around your tools, timelines, and preferred delivery mode.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Every session is shaped around your design tools, brand standards, and product workflows before delivery.
Expert trainers
Experienced AI design practitioners lead every session, coaching your team through labs and real design scenarios.
Measurable outcomes
We track capability from baseline review to capstone, so your team's design lift stays visible.
Global scale
Deliver one shared AI design standard across sites and batches, in hybrid, onsite, or virtual formats.
Use AI in Product Design From Concepts to Tested Prototypes
Edstellar helps product designers connect AI-supported ideation with critical review and usability evidence. Participants compare concepts, inspect screens, prototype interactions, and analyze test findings before organizing reusable workflows. An end-to-end design sprint brings these activities together, with feedback on the reasoning behind selected directions and resulting design changes.
- Step 01
Consult
We explore product-design workflows and AI experience to identify needs in concept generation, heuristic checks, accessibility review, prototyping, or interpretation of usability findings.
- Step 02
Plan
We connect AI tooling and design prompts with concept comparison, assisted reviews, and prototype testing before completing a brief-to-tested-prototype design sprint.
- Step 03
Align
We align instruction with UX practitioners’ and design leads’ experience, keeping design judgment and validation central rather than assuming generated concepts meet user needs.
- Step 04
Customize
We tailor briefs, screen-review cases, and test scenarios to familiar products while preserving brand constraints, accessibility questions, and checks on AI-generated findings.
- Step 05
Execute
Participants compare concepts, validate review findings, and test prototypes, receiving feedback on evidence quality, design consistency, and whether proposed fixes address observed user problems.
- Step 06
Evaluate
We assess the design sprint for a justified concept choice, verified review findings, usable prototype behavior, and design changes clearly connected to test evidence.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
AI in Product Design Corporate Training Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request AI in Product Design Training for Your Team
Tell us your team size, design challenges, preferred delivery mode, and timelines. We will respond with a quote covering scope, schedule, and pricing, and can start with a short discovery call to check availability.