“A lot of topics piqued my attention, especially the initial assessment and opportunity discovery. How to get buy-in for your projects from C leaders was invaluable for me.”
“I really enjoyed the sessions and, as we progressed, each new lecture was more engaging than the previous one.”
“It was a great course and so easy to follow when my schedule got crazy and I was still able to listen to the sessions afterwards."
The curriculum is designed for technical professionals with no business background. Learn AI Strategy, Product Management, Business Acumen, and Leadership skills from the ground up.
Courses support strategy, leadership, and product professionals transitioning into nontechnical AI roles. Learn AI transformation, innovation, and monetization paradigms without all the technical jargon.
That's why support doesn't end when the class is over. You get access to office hours and email support.
“I used frameworks I learned Saturday in Monday meetings. I didn't expect immediate results, but the frameworks become habits.”
“It took 4 months to get the first {initiative} out the door. It's the only AI product with revenue ever for the team. Thank you!”
“Where the hell was this 5 years ago? I thought learning leadership only happened through mistakes and picking yourself up. I sent all my reports to take it and not stumble in the dark."
Data & AI Strategists create the top-level strategy for developing and monetizing data and AI. They control the data organization’s strategic direction and implement their vision for the technology.
Data & AI Product Managers drive opportunity discovery and the data product strategy. They connect the business’s top-level technical strategy to execution and translate between technical and non-technical teams.
Strategic Data Leaders develop the data organization to meet business needs. They control strategy implementation, lead innovation, and ensure execution. They implement their vision for the team and AI capabilities for the enterprise.
Value-Centric Data Professionals deliver high-end solutions to the business’s most complex challenges. They translate business problems into data science solutions. They control the entire data science lifecycle and solutions delivery.
I built the courses in 4 layers, each designed to target a different piece of the monetization challenge.
Data & AI Strategy Technical Certification teaches the C-level piece of the puzzle and is designed to train a data strategist. It teaches you how to build a strategy that will inform decision-making across the business about data and AI. This is your top-down monetization strategy, and it's connected with the core business and operating models.
Strategic Leadership Certification is built for data team and organizational leaders. It covers transitioning from a tactical manager to a strategic leader, data team development (individual and organizational), leading strategy implementation, and working with C-level leaders and the rest of the business.
Data Product Manager teaches the second layer, data and AI product strategy. This connects the top-level data and AI strategy to execution. The purpose is to train a data product manager to turn strategy into product and infrastructure roadmaps linked to business value.
The Value-Centric Data Professional Certification is the final layer. It’s designed to upskill data professionals with business acumen and an understanding of the monetization, commercialization, and productization processes. It teaches a data professional how to go from business cases to data solutions. The course has a heavy focus on communications frameworks and developing business acumen.