Master AI Product Strategy, Development & Market Execution

AI in product management is transforming how companies design, develop, and refine their products. By leveraging AI, product managers can analyze customer feedback, market trends, and usage data to make more informed decisions. AI tools help identify patterns, predict customer needs, and recommend product enhancements, allowing for faster iteration and more targeted feature development. Additionally, AI can automate routine tasks like A/B testing, customer segmentation, and prioritization of features based on impact, improving efficiency and decision-making.

  • 16 Hours
  • Beginner
  • Offline/Online
  • Industry-Relevant Training
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Our Gen AI Clients

Unlock the power of AI to drive innovation and efficiency in your business. By empowering your team with Generative AI training, you can help them harness cutting-edge technologies that transform workflows, enhance creativity, and streamline decision-making.

  1. Master AI Product Lifecycle – From ideation to deployment & scaling
  2. Learn AI Business Models – Monetization, SaaS, API-first, and AI product strategies
  3. Optimize AI Performance – Model drift, retraining, compliance & risk mitigation
  4. Optimize AI Performance – Model drift, retraining, compliance & risk mitigation

    Key Takeaways:

  • Understand the role of an AI Product Manager vs. Traditional Product Manager
  • Learn how to identify AI market opportunities & define AI business models
  • Translate business problems into AI solutions & define MVPs
  • Hands-on Exercise: Draft an AI Product Vision & Value Proposition
  • Case Study: How OpenAI & Anthropic Positioned Their AI Products in the Market

    Key Takeaways:

  • AI product development workflow – from data collection to deployment
  • Managing AI training data – Quality, bias, privacy & compliance
  • Go-To-Market (GTM) strategies – AI pricing, customer trust & explainability
  • Hands-on Exercise: Define a Data Strategy & GTM Plan for an AI Product
  • Case Study: How Hugging Face Built an AI Model Hub & Monetization Strategy

    Key Takeaways:

  • Learn how to scale AI products from POC to enterprise adoption
  • AI model monitoring, A/B testing, and performance optimization
  • AI Governance & Compliance – EU AI Act, DORA, & Responsible AI
  • Hands-on Exercise: Design an AI Model Monitoring & Governance Plan
  • Case Study: How Microsoft & Google Implement Responsible AI Governance

    Key Takeaways:

  • The Rise of Generative AI & Large Language Models (LLMs)
  • AI Monetization & Growth – Open-source vs. Proprietary AI, AI PLG strategies
  • Building AI-First Teams & AI PM Skills for 2030
  • Hands-on Exercise: Develop a Long-Term AI Product Roadmap
  • Case Study: Staying Competitive in an AI-Driven Market

  1. Practical Knowledge: Manage AI products effectively

    Managing AI products requires a deep understanding of both AI technologies and product management strategies. This program equips you with the skills to oversee AI-driven products from ideation to launch, covering key aspects like AI lifecycle management, data strategy, model integration, and performance optimization.

  2. Industry Insights: Learn AI-first business models & AI GTM execution

    Learn how leading AI-first companies build, scale, and monetize AI products. Through real-world case studies, explore successful AI business models, go-to-market (GTM) execution strategies, and how AI is leveraged for product differentiation, customer engagement, and revenue growth.

  3. Hands-on Training: Apply AI PM principles in real-world scenarios

    Theory is essential, but real learning happens through experience. Engage in practical exercises and simulations that allow you to apply AI product management principles in real-world scenarios. Work on AI roadmaps, define key performance metrics, and tackle challenges related to AI deployment, user adoption, and ethical considerations.

  4. Certificate of Completion: Showcase your AI product management expertise

    Upon successfully completing the program, you’ll receive a prestigious certificate that validates your expertise in AI project management. This certification demonstrates your ability to lead AI-driven initiatives, making you a valuable asset to employers and organizations looking to integrate AI solutions.

  1. AI & Data Science Professionals
  2. Project & Product Managers
  3. Business Leaders & Entrepreneurs
  4. Tech & IT Consultants
  5. Investors & AI-Driven Venture Capitalists
  6. Anyone interested in mastering AI product execution

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