Executive Masterclass: AI-Driven Product Strategy
This high-impact masterclass is designed to bridge the gap between cutting-edge Artificial Intelligence capabilities and enterprise-level product management. Designed for leaders operating in rapidly evolving tech environments, the program equips you with the strategic frameworks required to identify high-value AI opportunities, build ethical AI integration roadmaps, lead cross-functional data/engineering teams, and drive measurable return on investment (ROI). Through real-world case studies, hands-on framework exercises, and executive group discussions, you will transform from a traditional product manager into an AI-first product strategist.
16
seats left at this price
Who is this course for?
This course is designed for people who match one or more of these descriptions
Mid-to-Senior Product Managers seeking to transition into AI PM roles or integrate machine learning and generative AI into their existing product suites.
Technical Founders & Engineering Managers looking to improve product-market fit, enterprise product strategy, and business-focused roadmap alignment.
Product Marketing Directors & Consultants who need to evaluate AI solutions, understand competitive AI landscapes, and effectively position intelligent features.
Technology Executives (VPs, Directors) tasked with steering company-wide AI digital transformation initiatives and managing multi-disciplinary data teams.
What you'll walk away with
Concrete skills and knowledge you'll have after completing this course
Identify & Evaluate High-ROI AI Opportunities: Master strategic frameworks to evaluate market opportunities, user pain points, and technical feasibility for AI/ML integration.
Build AI-First Product Roadmaps: Learn to design, prioritize, and execute scalable product roadmaps that balance rapid innovation with enterprise governance and data security.
Lead & Bridge Technical Cross-Functional Teams: Drive cross-functional alignment between data scientists, ML engineers, UX designers, and business stakeholders using unified metrics.
Design Ethical & Responsible AI Systems: Establish guidelines for data privacy, algorithmic bias mitigation, and regulatory compliance throughout the product development lifecycle.
Define & Measure Success Metrics: Set actionable KPIs, track model performance drift, and calculate clear return on investment (ROI) for enterprise AI features.
Requirements
- Experience: Minimum 3+ years of experience in product management, tech project management, or technical business analysis.
- Technical Knowledge: Basic understanding of the software development lifecycle (SDLC) and fundamental data concepts (databases, APIs). No coding or mathematical machine learning experience is required.
- Tools Needed: Access to a modern web browser and standard productivity suite; access to provided Slack and Notion environments.
Course Curriculum
7 lessons · 2 sections · Telegram + Web
Meet your instructor
Marcus Thorne
Senior Principal AI Architect & Author of Enterprise Machine Learning Design
Marcus brings over 12 years of hands-on technical architecture and engineering management experience. Having led AI development initiatives at leading cloud platforms and high-growth fintech unicorns, Marcus specializes in translation between technical AI/ML infrastructure, compliance standards, and product performance metrics.
How course delivery works
Lessons arrive directly on WhatsApp — no extra app needed
Enroll & Pay
Secure Razorpay payment. Your spot is confirmed instantly.
Start on WhatsApp
Message the bot — lesson 1 arrives straight to your chat.
Frequently asked questions
Still have questions? Reach out through WhatsApp.
Do I need to know how to code or build ML models to take this course?
No. The course focuses purely on strategy, product frameworks, user experience, team execution, and ROI validation. While we discuss machine learning concepts conceptually, you will not be required to write code.
How much time should I commit each week?
Plan for approximately 4 to 5 hours per week. This includes 2 hours of self-paced video modules, 1 hour of weekly live group Q&A/case studies (which are recorded if you cannot attend), and 1–2 hours for practical assignments.
Will I receive a certificate upon completion?
Yes. Participants who complete all module assignments and the final AI Strategy capstone project will receive a verified digital Certificate of Completion from Apex Scale Academy to share on LinkedIn or resume profiles.
Ready to start learning?
Enroll now — get instant access on WhatsApp and the web.