A Personalized Coaching Program for AI Product & Design Leaders
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The AI Edge is a group coaching program where you will be paired with professionals with similar backgrounds and work closely with an experienced AI coach. You will get hands on, personalized coaching for your project as well as an opportunity to learn from like-minded peers.
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This pr gram is designed specifically for product and design leaders, as well as consultants or entrepreneurs focused on developing AI-enabled products within startups or medium to large organizations.
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This is a 12 week program where you will participate in 6 group sessions and get access to 6 individual 1-1 coaching sessions. All sessions will be conducted virtually and you will also gain access to the AI Edge community via slack for async learning and networking.
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The upfront cost for the program is $5750, payment plans are available. If you have taken a course with me on Reforge or at Stanford, please email me for a discount! We encourage you to explore L&D budgets within your company for reimbursement.
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The program has been designed as a hands-on, project based learning experience. You will learn AI fundamentals and apply them to a project and test your hypotheses. By the end of the program, you would have developed a portfolio worthy project and the confidence to take on AI initiatives within your organization.
Trusted by professionals at:
The AI Edge
What our community is saying…
“Friends, this is an awesome program, and I recommend it wholeheartedly. I was in the first cohort and refer back to it often. This is a hot topic, and who better to hear it from than Reforge—Polly M Allen and Rupa Chaturvedi - Apart from their Product Thought Leadership, Polly and Rupa are just awesome Product Humans - empathetic, patient and genuinely invested in their cohort people development.”
Harsha Srivatsa / Product Builder/Solutions Creator
“Theory delivered in line with real-life case studies and examples, developed a clear path to action for me. This was an outstanding delivery of framework, template, examples and case studies. I left this course armed with the tools to deliver and have done so in the last two weeks with my clients.”
David Taylor / Officer & Chief Product Officer
“The real-world examples that Polly and Rupa shared were fantastic- no theory, the information is based on real use cases, successes and fails.”
Gwendolyn Elder / Product Designer
“Knowledgable hosts/instructors. Great examples and framework using JTBD and attaching it to measurable impact/value.”
Joshua Kinberg / Director, Product Management
“I feel that I learned a ton of actionable and useful advice that I can already start applying at work.”
Yana Barysheva / Director of Design
“Good information, practical examples. Helped me to better understand trade-offs and initial knowledge to kick off the project :) ”
Larissa Moraes / Product Manager in an Edtech Company
“The information was thorough, instructors were engaging and showed consideration for attendees from different backgrounds and at different stages of the learning journey. ”
Maria Campbell-Colespring / Director, Product Go-to-market, New Business
“I liked last week's session because it was hands-on and really drove home how these products work and what goes into them. The two of you are experts in this space, and it's been amazing being able to see real-world documents that you've created and encouraging us to really plan out upfront how the product should work. The class has been fabulous. ”
Kristen Sager / most recently CMO
1-1 Personalized Coaching
Unlock your full potential with tailored guidance from seasoned AI experts who will provide personalized coaching to help you navigate the complexities of AI implementation.
Intimate Group Sessions
Engage in dynamic group sessions where you can collaborate, share insights, and learn from the collective experiences of like-minded leaders tackling similar AI challenges.
Peer-Peer Learning
Foster a supportive community of peers, enabling you to learn from each other's successes, challenges, and best practices in leveraging AI for innovation and growth.
Learn by Doing
Gain hands-on experience through practical exercises and real-world case studies, empowering you to apply your newfound AI knowledge immediately and drive tangible results.
Access Industry Experts
Tap into a wealth of expertise from renowned industry leaders and subject matter experts who will share their invaluable insights, strategies, and cutting-edge AI applications.
Build your Network
Expand your professional circle by connecting with a diverse community of forward-thinking leaders, fostering valuable relationships and opening doors to new opportunities in the AI realm.
Program Curriculum & Schedule
Week 1: Human-Centered AI Foundations
Week 2: Competency Setting & Goal Setting
Week 3: Use Case Definition & JTBD Mapping
Week 4: User Considerations & Design Principles
Week 5: Competency Check-in
Week 6: Stakeholder Mgt & Influence
Week 7: AI Interfaces
Week 8: Testing your Hypotheses
A Program like no other!
Future proof your career by learning AI Product Design Foundations
Get hands-on learning experience on AI projects you are working on including testing your hypotheses
Gain from peer feedback and personalized coaching
Gain access to the expanding DLE community for job opportunities and networking
Every enrollment will support a scholarship for a deserving student
The AI Edge
Meet your coach
Rupa Chaturvedi
Rupa is a seasoned professional with over 15 years of experience in the tech industry, having worked at companies like Amazon, Google, Uber, and unicorn startups like Sentient Technologies. Throughout her career, she has focused on designing products in emerging technologies, including Computer Vision, AI/ML, AR/VR, and Conversational & Voice Interfaces.
She has published over 16 patents in this space.
As a visionary in the field, Rupa has dedicated her career to humanizing technology and uplifting others through her work and mentorship. Recognized as a thought leader in user-centered design, her superpower lies in helping startups and product teams achieve Product-User Fit by adopting a user-centered approach to product development.