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.
- Master AI Product Lifecycle – From ideation to deployment & scaling
- Learn AI Business Models – Monetization, SaaS, API-first, and AI product strategies
- Optimize AI Performance – Model drift, retraining, compliance & risk mitigation
- 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
- 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.
- 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.
- 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.
- 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.
- AI & Data Science Professionals
- Project & Product Managers
- Business Leaders & Entrepreneurs
- Tech & IT Consultants
- Investors & AI-Driven Venture Capitalists
- Anyone interested in mastering AI product execution