AI in Product Management

45%

Salary Hike on Avg.

500+

PMs Upskilled

1:1

Mentorship Ratio

100%

Live Interactive Classes

Why This Course? Why Now?

The role of the Product Manager is undergoing its biggest improved evolution in decades. AI is not just another feature; it's a new layer of the tech stack that changes how we discover problems, design solutions, and measure success.

Most PM courses haven't updated their curriculum in years. They are still teaching agile ceremonies and basic wireframing. Lead With Skills is different. We have rebuilt our curriculum from the ground up to address the reality of the AI era. We teach you how to think in "probabilistic" terms, how to manage "non-deterministic" outputs, and how to create moats using data.

Strategic Vision

Move beyond the "add a chatbot" mentality. Learn to identify where AI actually adds 10x value versus where it's a gimmick. Understand the buy vs. build decision for AI models.

Technical Fluency

Demystify the black box. Gain a functional understanding of Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), fine-tuning, and context windows so you can collaborate effectively with engineering.

Ethical Leadership

With great power comes great responsibility. Learn to navigate the complex landscape of AI ethics, bias, copyright issues, and data privacy regulations to build products that are safe and trusted.

6-Month Comprehensive Curriculum

Module 1: AI Fundamentals in Product Management (2 Weeks)

FOUNDATION
  • Introduction to AI in Product Management
  • AI-based market insights
  • 20+ AI prompts for product management
  • AI in product vision & decision-making
  • Case discussions
  • Assignment: Research and present an AI use case

Module 2: Strategic Thinking & Leadership (4 Weeks)

STRATEGY
  • Design thinking & execution strategies
  • Creating product vision and strategy
  • Executing product vision using AI
  • Case discussions
  • Assignment

Module 3: AI-Powered Product Roadmap Development (3 Weeks)

ROADMAP
  • AI-driven product planning & prioritization
  • Predictive analytics for user insights
  • Roadmap creation using AI tools
  • Case discussions
  • Assignment

Module 4: AI in Digital Marketing (4 Weeks)

MARKETING
  • AI tools for marketing & audience engagement
  • AI-driven campaign optimization
  • Creating AI-enhanced digital marketing plans
  • Case discussions
  • Assignment

Module 5: AI for Market Strategy & Growth (4 Weeks)

GROWTH
  • AI-led GTM strategies
  • Customer journey mapping with AI
  • Market expansion using AI insights
  • Hands-on: Draft GTM strategy for a SaaS product
  • Case discussions
  • Assignment

Module 6: Agile Product Development (6 Weeks)

AGILE
  • Agile methodologies for AI products
  • Product development cycles & execution
  • AI-powered product launch
  • Capstone Project: Product design, development & presentation
  • 2 weeks dedicated to final presentation

Module 7: Product Messaging, Positioning & Brand Strategy (4 Weeks)

BRANDING
  • Product messaging & positioning
  • Brand identity development
  • Brand development tools
  • Case discussions

Module 8: Marketing Communication, Pricing & Metrics (4 Weeks)

METRICS
  • Integrated Marketing Communication (IMC)
  • Product pricing models & strategies
  • Pricing metrics & analytics
  • AI tools for pricing decisions
  • Case discussions

Module 9: Consumer Behavior Analytics (4 Weeks)

ANALYTICS
  • Introduction to consumer behavior analytics
  • Consumer analysis tools & methodologies
  • Data collection methods
  • Case discussions

Module 10: Ethical Product Management & Sustainability (4 Weeks)

ETHICS
  • Ethical considerations in AI product development
  • Sustainable product management practices
  • Case discussions

Course Key Outcomes

OUTCOMES
  • 16+ AI-powered product tools
  • 20+ AI prompts
  • Hands-on case studies & live assignments
  • Mega capstone project
  • Industry-recognized completion certificate

Tools You Will Master

OpenAI API
Midjourney
LangChain
Hugging Face
Figma AI

Frequently Asked Questions

Common questions about the AI Product Manager track

Do I need coding experience to take this course?

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No coding experience is strictly required, but a basic understanding of software development concepts like APIs and databases is helpful. This course is designed for Product Managers, not engineers. You will review code snippets only to understand concepts — not to write production code.

How much time commitment is required?

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Expect to spend around 6–8 hours per week. This includes live sessions (2.5 hours), mentor interactions (45 minutes), reviewing course material, and working on the capstone project. The program is structured to fit alongside a full-time job.

Will this course help me get a job as an “AI Product Manager”?

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Yes. AI Product Manager is one of the fastest-growing roles in tech. By completing this course, you will build a strong portfolio project, gain a recognized certification, and develop the vocabulary and strategic frameworks required to succeed in interviews.

What is the difference between this and a Technical PM course?

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A Technical PM course focuses on system design, APIs, cloud infrastructure, and databases. This AI Product Management course is a specialized deep dive into Artificial Intelligence, Machine Learning, and Generative AI. It is ideal if you already understand basic technical concepts and want to specialize in AI-driven products.

Is there a refund policy?

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Yes. We offer a 3-day money-back guarantee. If you attend the first week’s sessions and feel the course is not the right fit, you can request a full refund — no questions asked.

Ready to Future-Proof Your Career?

Join the elite group of Product Managers who are actually building the AI future, not just watching it happen.

Apply Now for Next Cohort