AI in Your Product
Bridge the Gap Between AI Potential and Product Success
Workshop Overview
- Identify high-impact opportunities where AI can solve real product problems, improve user outcomes, and differentiate your offerings.
- Evaluate your organization’s readiness for AI by assessing market, technical, data, and stakeholder conditions so you can move forward with confidence
- Balance innovation and responsibility by navigating critical design dimensions like trust, transparency, and autonomy in AI-powered experiences.
As low as $107.92/month with 
.
COMMON ROLES:
Product Managers, Directors of Product, Product Developers, Product Owners, Product Designers, and VPs of Product
Upcoming Course
Jul 24
Online Delivery
1 Day Session
09:15AM - 04:45PM
Eastern Time
Pricing
$1,295 / One Time +Taxes
Upcoming Course
Aug 19 - 20
Online Delivery
2 Day Session
09:15AM - 12:45PM
Eastern Time
Pricing
$1,295 / One Time +Taxes
Upcoming Course
Sep 23
Online Delivery
1 Day Session
09:15AM - 04:45PM
Eastern Time
Pricing
$1,295 / One Time +Taxes
$1,295.00 / One Time +Taxes
BONUS INCLUDED:
Register for AI in Your Product and get free access to our Intro to AI for Product Professionals on-demand workshop (a $299 value).
COMMON ROLES:
Product Managers, Directors of Product, Product Developers, Product Owners, Product Designers, and VPs of Product
Corporate Training
- 7.5 hour course
- 1 session
- Training for whole team
- In-person or virtual
- Completion badge
Live Online
- 7.5 hour course
- 1 session
- No travel
- Completion badge
Credly
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What you’ll learn in AI in Your Product
AI Foundations for Product Teams
- Understand machine learning, deep learning, and LLMs in a product context
- Identify the strengths and limitations of common AI approaches
- Translate technical concepts into practical product applications
Deconstructing Problems for AI Fit
- Break down product challenges to assess AI feasibility and value
- Uncover opportunities for AI to improve outcomes or reduce friction
- Avoid common pitfalls by aligning AI to actual product needs
Evaluating and Positioning AI Solutions
- Match AI types (generative, predictive, conversational) to use cases
- Navigate trade-offs in autonomy, trust, transparency, and data use
- Create stakeholder-ready positioning for your AI initiative
Ready To Start?
How Can AI Add Value to Products?
Who Benefits from taking the AI in Your Product Workshop?
Product Managers: Responsible for identifying pervasive market problems and making data-informed decisions.
Directors of Product: Responsible for long-term vision and focused product strategy, ensuring strong team performance.
Product Developers: Responsible for using shared tools and processes to deliver products on schedule and to expectations.
Product Owners: Responsible for overseeing products from exploratory research through development, launch, and throughout the product life cycle.
Product Designers: Responsible for translating the team’s vision into a tangible product.
VPs of Product: Responsible for driving growth and innovation, ensuring that product strategy supports organizational goals.
Key Considerations for Product Teams Using AI
Problem Framing
AI requires product professionals to break down problems clearly to determine whether an AI solution is appropriate and valuable.Cross-Functional Alignment
AI initiatives demand coordination across product, data, design, and engineering to ensure feasibility and adoption.Trust and Transparency
Product teams must account for user trust, explainability, and ethical considerations when integrating AI into product experiences.Readiness Evaluation
Assessing organizational readiness—technical, data, and stakeholder—is a core part of determining AI feasibility.Strategic Positioning
Effectively positioning AI initiatives helps secure internal buy-in and ensures alignment with broader product and business goals.About the Instructor
