Live-Online instructor Led Training
Mastering Gen AI
in Product Development
Certificate
Learn how to design AI driven products, users love! Enrollment opens in September 2025.
Learn how to design AI driven products, users love! Enrollment opens in September 2025.
Gain a comprehensive understanding of AI product management, covering key topics from AI fundamentals and development processes to strategy, metrics, and ethical considerations. This training equips you with the skills to manage AI-driven products, bridging the gap between technical teams and business goals for successful product outcomes.
PART-TIME
2-3 WEEKS
An introduction to the fundamentals of product management and core AI concepts—exploring how their convergence shapes the emerging hybrid role of the AI Product Manager.
Learn the fundamentals of AI product management, including the role, essential skills, and core processes needed to successfully build and scale AI-driven solutions. This course bridges the gap between technical teams and business goals, empowering participants to navigate the unique challenges of AI products
Discover the world of AI, exploring key concepts like large language models (LLMs), generative AI, machine learning, and copilots. Gain a clear understanding of how these technologies work and their transformative impact on products and industries.
Explore the role of human factors in AI design, focusing on user interaction, ethics, and ensuring AI systems align with human needs. Learn how to create AI solutions that are intuitive, accessible, and ethically sound.
Explore the role of an AI Product Manager and the essential skillset needed to succeed, including technical literacy, strategic thinking, and stakeholder collaboration. Learn how to bridge the gap between AI technologies and business objectives.
Learn the key metrics and technical concepts essential for evaluating and managing AI products. Gain insights into model performance, data quality, and metrics that align AI outcomes with business goals.
Understand the AI product development lifecycle, from ideation and data collection to deployment and iteration. Learn the unique challenges and best practices for building successful AI-powered products.
Discover how to define and align AI metrics with business strategy to drive impactful outcomes. Learn to measure success, optimize performance, and create value with AI-powered products.
Explore the concept of AI agents, their capabilities, and how they interact with users and environments. Understand their role in building intelligent, autonomous systems for diverse applications.
Learn how AI copilots enhance user experiences and product functionality. Explore their applications, design considerations, and strategies for seamless integration into products.
Learn how to create a comprehensive AI Product Requirements Document (PRD), outlining key features, technical specifications, and business goals. Develop the skills to define and communicate AI product vision and strategy effectively.
Go through the process of building AI products, including requirements, technologies, metrics and final releases.
Explore the transformative world of generative AI, learning how it creates new content, from text and images to music and code. Understand its applications, potential, and impact across industries.
Understand the differences between generative and discriminative AI models, focusing on their unique approaches to data processing and decision-making. Learn when and how to apply each type for optimal results in AI product development.
Explore the most common generative AI models, including GANs, VAEs, and large language models (LLMs). Learn how these models generate content and their applications across various industries.
Learn how to test and experiment effectively to refine your AI product’s Minimum Viable Product (MVP). Focus on iterative validation, user feedback, and data-driven decision-making to ensure your MVP meets key objectives.
Master the art of prompt engineering for generative AI to optimize model responses and achieve desired outcomes. Learn how to craft effective prompts that guide AI models in generating high-quality content.
Discover the power of pre-trained models and their ability to perform a wide range of tasks with minimal customization. Learn about their capabilities, benefits, and how to leverage them for AI product development.
This comprehensive program equips product, business, and technical teams with the skills to design, manage, and scale AI-powered products—bridging the gap between innovation and execution. Through real-world use cases and expert-led sessions, participants will gain a deep understanding of AI fundamentals, product strategy, development lifecycles, and emerging technologies like LLMs, Generative AI, and AI Agents.
This hands-on program is designed for aspiring and practicing product managers who want to break into the AI space. You’ll learn how to navigate the AI product lifecycle—from core AI concepts and ethical design to prompt engineering, MVP testing, and PRD creation. The course covers the unique challenges of AI-driven development and gives you the tools to align cutting-edge technology with real user and business needs.
Everything your team needs to kickstart and grow your career in Product. Learn how we enable product managers upskill, gain cross-functional skills and advance their career.
Foundational and advanced training in building real-world GenAI applications. From LLMs and RAG to KAG, semantic search, and production-ready deployment, participants gain hands-on skills to design, scale, and optimize GenAI systems for business impact.
This hands-on course equips developers and data professionals with the skills to build and deploy real-world Generative AI applications using Python, LLMs, and RAG. Participants learn through live coding, guided labs, and practical mini-projects.
The Advanced Track equips professionals to scale GenAI systems with deep dives into KAG, semantic search, and prompt engineering. Participants learn to productionize, monitor, and optimize AI solutions for real-world enterprise use.