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[Free] Ai Product Management Crash Course: Concept To Deployment

AI Product Management: Master AI Strategy, Product Design, Deployment, & Metrics for Impactful AI Solutions & PM Career. – Free Course

Added on July 13, 2025 Business 2 min read

What you’ll learn

• Learners will grasp the fundamentals of AI, machine learning, and deep learning — and know how these technologies apply to Product Development
• Students will learn how to manage AI products across the full lifecycle, from ideation and feasibility analysis to data strategy, model evaluation &, deployment
• Learners will use structured frameworks for problem framing, data-first thinking, explainability, ethical AI, and AI-specific experimentation.
• Explore real-world case studies
• Avoid common AI product pitfalls and build products that scale responsibly.

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

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.