Accelerate Innovation:
Tailored training programs ensure your team can integrate cutting-edge AI solutions directly into your business model.
Retain Full IP Ownership:
Unlike traditional consultancy models, your team builds products in-house, retaining complete control over intellectual property.
Flexible Developer Options:
Use your internal developers or enhance capabilities with our team of seasoned AI experts (additional fees apply).
End-to-End Product Solutions:
Need a fully managed service? We offer comprehensive AI product development, from ideation to launch.
Why AI Product Management Is a Game-Changer for Businesses
Artificial intelligence isn’t just a buzzword—it’s a catalyst for growth. From improving operational efficiencies to creating personalized customer experiences, AI opens doors to unparalleled opportunities. But while many companies recognize AI’s potential, few understand how to implement it effectively.
To put things in perspective, 30% of businesses use AI, and businesses saw a 66% increase in revenue after implementing something as simple as AI chatbots. Those numbers are only going up, and business owners have to start paying attention.
This is where AI product management comes in. It’s the bridge between cutting-edge technology and business success. A trained product management team can transform AI’s complexities into actionable strategies, guiding your company through the product lifecycle, from ideation to market launch.
Our program equips your staff with these crucial skills, ensuring your business doesn’t just adopt AI—but thrives with it.
We Drive Tangible Results for Your Business.
Unlike generic training programs, our B2B AI Product Management Certification focuses on immediate, actionable outcomes for your organization. This isn’t theoretical learning; it’s about solving real business problems and creating products that matter.

Tailored to Your Needs: Every company is unique. That’s why we work closely with you to customize the training curriculum to align with your industry, challenges, and goals. Whether you’re in healthcare, finance, retail, or tech, our program adapts to your needs.

Real-World Application: Your team won’t just learn—they’ll do. Throughout the program, your staff will work on live projects that directly address your business objectives. From the start, their efforts translate into practical solutions.

In-House Expertise: Why rely on external consultants when you can develop internal capabilities? Our training empowers your team to become AI experts, reducing long-term dependency on costly external resources.

Flexible Developer Support: Have developers on your team? Great—they can join the training and build your products in-house. Need additional expertise? Our team of seasoned AI developers is available to assist for an additional fee, tailored to your project’s complexity.

Intellectual Property Security: We understand how critical IP is to your business. That’s why every project your team works on remains entirely yours. With us, you retain 100% ownership and control.
What Your Team Will Learn
Our comprehensive program spans 9 weeks, covering the complete AI product lifecycle while allowing room for customization based on your business’s needs. Here’s what your team can expect:
1. AI Fundamentals:
We start by ensuring your team has a strong foundation in AI. They’ll learn how AI works, its applications, and its limitations, setting the stage for strategic decision-making.
2. End-to-end Product Lifecycle Management:
Managing AI products requires a different approach than traditional software. Your team will work directly with the masterminds behind the framework used by Nvidia and FAANG companies like Google and Amazon, giving them insider knowledge about how this framework transforms industries.
3. AI Strategy and Roadmapping:
A successful AI product requires a clear roadmap. We teach your team the same AI strategies used by FAANG companies and unicorn startups to create their blue ocean strategies and competitive AI products.
4. Stakeholder Collaboration and AI Evangelism:
AI projects often involve diverse stakeholders—from engineers to executives. Your team will learn how to manage expectations, secure buy-in, and ensure seamless communication.
5. Real-World Projects:
The core of our training is hands-on experience. Your team will work on your company’s AI initiatives, applying their skills to create products that deliver immediate value.
6. Go-to-Market Strategies:
An AI product is only as successful as its adoption. We’ll guide your team in crafting launch strategies that maximize impact, ensuring your innovations reach the right audience.
Throughout the program, your team will collaborate with AI experts, access mentorship, and receive actionable feedback to refine their skills.
Our Leader
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The program is led by Dr. Nancy Li, a trailblazer in AI product management and one of the youngest Director of Products and product leader at multiple Fortune 500 companies. Dr. Li has trained and mentored hundreds of individuals and teams to excel in AI roles and deliver real results for their organizations.

Under her leadership, your team will benefit from cutting-edge methodologies, practical insights, and personalized guidance. Dr. Nancy Li is a seasoned, forward-thinking AI director of products. Her AI-empowered smart cities product received the Mayor’s Best Practice Award in 2017, leading to $200M in Public Private Partnership. Her product was presented at the Nvidia GCP 2018 conference as the leader in implementing AI for municipalities.
What’s in the Boot Camp?
Week 1-2: AI Fundamentals – Build a foundational understanding of AI’s capabilities and applications.
Week 3: Product Lifecycle Management – Master the end-to-end management of AI products.
Week 4: AI Models & Pricing Strategies – Learn how to evaluate and deploy models for maximum ROI.
Week 5: Stakeholder Engagement – Foster buy-in across technical and non-technical teams.
Week 6: Strategic Roadmapping – Develop actionable AI roadmaps that align with business goals.
Week 7: Prompt Engineering – Explore the right prompts to harness the full capacity of AI assistants, and how your team can increase productivity through prompt engineering.
Week 8: Beginner-Friendly Techniques With Pro Results – Learn No-code or Low-code tools to quickly prototype your AI products even if you have limited engineering resources.
Week 9: Go-to-Market Strategies – Position your AI product for maximum impact upon launch.
Throughout week 2 to week 9, you'll be able to develop AI products to address your business needs in-house or with the support of our AI engineers. This all-encompassing experience helps you discover how your product fits into the market and how it holds up against real-world products.
The Training Process

Discovery Session:Â Analyze your current capabilities and align training with business goals.

Customized Curriculum: Tailor the course to your team’s strengths and needs.

Implementation: Teams work hands-on, using their own or optional developers from our pool.

Final Demo & Optimization: Ensure project success with detailed feedback and strategic guidance.
FAQs
Q1: Do we need in-house developers to participate?
No. Your team can work on projects with our developers for an additional fee, or you can use your existing developers.
Q2: How do you customize the curriculum?
We start with a discovery session to assess your team’s skills and your business goals. Based on this, we tailor the content to ensure maximum relevance and impact.
Q3: Can you handle the entire AI project for us?
Yes. We offer end-to-end solutions for businesses that prefer to outsource AI product development entirely.
Q4: What if we don’t see immediate results?
Our program is designed for impact. By focusing on your company’s real projects, we ensure the training delivers tangible outcomes from the start. We launched 8 AI products in 2 months, helping businesses overcome the barrier to entry, understand their vision from a wider perspective, and provide them with the resources and workforce needed to bring it to life. It’s a very streamlined and efficient way of developing AI products, making them more accessible to businesses worldwide.
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