AI Product Management Crash Course: Concept to Deployment
Requirements
- No coding or technical experience is required — this course is designed for non-technical and technical product managers. Curiosity about AI, data, and how technology drives business value.
Description
Are you ready to lead the charge in the AI revolution? The demand for skilled AI Product Managers is skyrocketing, and this comprehensive "AI Product Management Crash Course: Concept to Deployment" is your definitive guide to mastering this critical discipline. Whether you're an aspiring product manager eager to pivot into AI, a data leader looking to translate technical prowess into tangible business impact, or a founder aiming to build the next groundbreaking AI product, this course is meticulously designed for you.
In today's fast-evolving technological landscape, understanding how to conceptualize, develop, and successfully launch Machine Learning Products is no longer optional - it's essential. This crash course takes you from the foundational AI concepts to advanced deployment strategies, ensuring you gain the practical, real-world skills needed for success.
Through a structured, actionable curriculum, you will learn to:
Formulate Robust AI Strategy: Identify compelling AI business opportunities, craft a clear AI Product Vision, and build a solid AI Business Case that resonates with stakeholders.
Design User-Centric AI Products: Master the principles of AI UX Design, define the crucial AI MVP, and navigate the unique AI Product Lifecycle from discovery to launch.
Collaborate Effectively with AI Teams: Understand the MLOps stages and learn to communicate seamlessly with data scientists and ML engineers, bridging the technical and business divide.
Measure & Iterate for Success: Define key AI Product Metrics, evaluate model performance, navigate the complexities of Ethical AI and bias mitigation, and strategize for continuous improvement and AI product monetization.
Dive into Advanced AI Concepts: Explore the nuances of Generative AI Product Management and LLM Product Strategy, including the power of RAG (Retrieval-Augmented Generation) and AI Agents.
Future-Proof Your Career: Discover how to leverage AI tools for career planning, build a powerful product portfolio using no-code platforms, cultivate a strong personal brand, and employ a strategic job search approach to secure your dream role without even applying.
Taught with clear explanations, practical examples, and actionable frameworks, this course bridges the gap between complex AI technicalities and sharp business acumen. We'll demystify industry jargon, provide insightful real-world case studies, and equip you to confidently lead AI product development initiatives from ideation to scalable, impactful solutions. Enroll now and transform your career in the exciting and in-demand world of AI Product Management!
Who this course is for:
- Aspiring product managers who want to break into AI and tech-driven industries.
- Current product managers seeking to add AI literacy and frameworks to their skill set.
- Tech professionals (engineers, analysts, marketers) transitioning into product management roles.
- Entrepreneurs and startup founders looking to build AI-powered products.
- Business leaders who want to understand AI’s role in product strategy without needing to code.
Instructor
- 5.0 Instructor Rating
- 4 Reviews
- 254 Students
- 1 Course
I'm Sagar Nikam, a product and AI leader with over 10 years of experience building and scaling data-driven products across industries like financial services, utilities, and enterprise AI. I’ve led 0-1 initiatives, including AI agents, demand prediction models, and ML solutions that have delivered measurable business impact.
Throughout my career, I’ve worked at the intersection of business strategy, data science, and technology—translating complex AI concepts into real-world solutions. I’ve also coached cross-functional teams, and conducted training workshops.
I’m passionate about sharing what I’ve learned—both the wins and the hard lessons—with learners who want to build meaningful, scalable products in the AI and analytics space. My goal is to make your learning practical, engaging, and directly applicable to the challenges you'll face in your career.