Sagar Nikam

🚀 AI Product Management Mastery with Job-Ready Portfolio Cohort

Transform your career in 5 weeks with hands-on AI product management experience. Build portfolio projects that showcase your expertise to top tech companies and secure your next role with confidence.

🎯 WHO THIS IS FOR

• Product Managers (2-5 years) looking to transition into AI product roles
• Software Engineers wanting to move into product management with AI focus
• Business Analysts & Consultants seeking to specialize in AI product strategy
• Entrepreneurs building AI-powered products and need structured approach
• Recent Graduates and Students with technical background aiming for AI PM roles
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📋 PREREQUISITES

Basic understanding of technology products and willingness to learn. No prior AI experience required - we'll build from fundamentals to advanced applications.

📅 SCHEDULE DETAILS

• Duration: 5 weeks intensive program
• Start Date: 2025-10-25 (Saturday)
• Session Length: 2 hours per week
• Total Seats: 25 participants (limited cohort)
• Recordings: Available for 90 days post-completion
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🎯 LEARNING OUTCOMES

By completion, you'll have:

·      Master the AI Product Lifecycle – from discovery and data to deployment and iteration.

·      Gain AI Literacy for PMs – understand Generative AI, Agentic AI, AI Agents, and prompt engineering (without needing to code).

·      Build a Complete AI Product– your capstone project will include market research, personas, PRD, metrics, and GTM strategy.

·      Publish AI Product Portfolio– market briefs, user personas, product teardowns, PRDs, and metrics dashboards to showcase your skills.

·      Learn to Evaluate & Price AI Products – define KPIs, design experiments, and apply freemium, usage-based, and value-based pricing strategies.

·      Accelerate Your Career Path – leverage your portfolio to land AI PM roles, transition from DS/DE to product, or launch your own AI venture.

• Presented compelling product pitches to technical and non-technical stakeholders
• Established network with 24 other AI product professionals

📚 WEEK-BY-WEEK CURRICULUM

Week 1: AI & Product Fundamentals with Market Analysis

This week builds a strong foundation in AI concepts and the AI product lifecycle, then applies those insights to analyzing real market opportunities. Students will gain both technical literacy and strategic market perspective.

• Core AI & ML concepts: Machine Learning, Classification and Regression model and how they work.
• AI Product Lifecycle: discovery → data → development → deployment → iteration.
• Market Research & Opportunity Sizing: Framework for market analysis and opportunity sizing, competitor landscape, identifying viable product opportunities.

Week 2: GenAI Foundations, Prioritization & Product Teardown

Turn AI literacy into product decisions. Learn how foundation models work, practice structured prompting, and convert insights from a teardown into a focused roadmap.

• GenAI Foundations: How LLM Works, tokens, embeddings, attention, context windows; Prompt engineering
• Prioritization & Roadmapping: Prioritisation frameworks; translate research into a Q/Q+1 roadmap.
• Product Teardown: analyze a live product flow (onboarding/core loop); document frictions and hypotheses tied to metrics.

Week 3: RAG Co-Pilot, Prototyping & Market Testing

Ground LLMs with your own knowledge and validate with users. Move from ideas to a working assistant and evidence-based improvements.

• RAG (Retrieval-Augmented Generation): chunking, metadata, vector search; grounding to reduce hallucinations.
• Prototyping & Tests: Strategies for product prototyping and MVP, success criteria (precision/recall, override rate, time-to-task).
• Product Improvements: Build a clickable prototype and experiment charter; iterate from test feedback.

Week 4: Responsible AI, Evals & Execution Readiness

Ship with quality and trust. Design evals and guardrails, then prepare the plan to take your feature live.

• AI Evals & Guardrails:Setting up Evals and guardrails, PII filtering, fairness checks; drift monitoring and pass/fail gates.
• Execution & Metrics: tight PRD, user stories, acceptance criteria; launch/KPI plan and instrumentation.
• Case Study 1: Work in a group on Case Study

Week 5: Agents, GTM & Portfolio Proof

Design agents that act, not just answer—and package your work for real-world traction.

• AI Agents & Agentic Frameworks (incl. MCP): planning, memory, multi-tool orchestration, retries/fallbacks, tracing, cost/latency control.
• GTM & Pricing: positioning, phased rollout/beta, pricing & packaging aligned to value metrics.
• Case Study 2 & Launch: Work in a group on case study.

📦 WHAT'S INCLUDED

• 5 live interactive sessions with Sagar Nikam
• Weekly hands-on assignments with personalized feedback
• Access to AI product management templates and frameworks
• Private Discord community for peer networking
• 1:1 portfolio review session with instructor
• Lifetime access to recorded sessions and materials
• Job referral network access upon completion
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📋 POLICIES & REQUIREMENTS

• Attendance: Minimum 4/5 sessions for certification
• Time Commitment: 2 hours live + 3 hours weekly assignments
• Language: Sessions conducted in English
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👨‍🏫 MEET YOUR INSTRUCTOR

Sagar Nikam brings extensive experience in product management and AI implementation. With a perfect 5.0⭐ rating from 14 reviews, 121+ successful mentoring sessions and coached over 1000+ students through Udemy courses, Sagar has helped professionals transition into AI product roles at leading tech companies.

Connect with Sagar:

• 🔗 LinkedIn: https://www.linkedin.com/in/sagarn136/
• 🔗 Newsletter: AIandProduct.com
• 📺 YouTube: https://www.youtube.com/@sagarnikam136

⭐ SOCIAL PROOF

With 13 testimonials and maintaining a perfect 5.0⭐ rating, Sagar's mentees consistently achieve their career goals. Our structured approach has helped professionals secure roles at top companies with 40-80% salary increases.

❓ FREQUENTLY ASKED QUESTIONS

Q: Do I need prior AI or technical experience?

No technical background required. We start with fundamentals and build practical skills progressively.

Q: What if I miss a session?

All sessions are recorded and available for 90 days. We also provide session summaries and assignments.

Q: How much time should I dedicate weekly?

Plan for 2 hours live session + 3-4 hours for assignments and portfolio work.

Q: Will this help me get a job?

The program focuses on building job-ready portfolio projects and provides access to our referral network upon completion.

Q: What's the refund policy?

Full refund available within first week if you're not satisfied with the program structure and content.

Limited seats available. Secure your spot and transform your product management career with AI expertise! 🚀