The Industry Readiness Masterclass | AM to PM

Flagship 12-Week Vetted Cohort

The Industry Readiness Masterclass.

Stop being the smartest person in the room with the smallest paycheck. Translate your high-level research depth, academic milestones, and raw analytical logic into the specific narrative assets and technical execution models Big Tech hiring bars demand.

Apply for Next Cohort Intake

Our Core Methodology is Validated Inside Final-Round Networks At

Amazon Google Meta Apple Anthropic OpenAI Microsoft NASA

95%

Loop Penetration

Of active cohort researchers successfully convert raw profiles and advance deep into active final-round FAANG+ loop architectures.

+$150k

Average Salary Delta

The proven economic income adjustment generated when shifting directly out of institutional lab tracks into Big Tech Product environments.

24+ Hrs

Live Telemetry Craft

Of rigorous live strategy sessions, case work autopsies, and peer loop defenses run directly by Harsh.

★★★★★

"My academic CV was 8 pages long and completely invisible to tech recruiters. This system systematically dismantled my academic ego and translated my methodology into a high-signal asset that generated 3 immediate Big Tech loops."

Dr. Aris V. • Post-Doc Researcher to Senior AI Product Manager

Initial State: $58k Fellowship → Current Comp: $265k Base + Equity

The 12-Week Syllabus

Deep Curriculum Architecture

Phase 1 | Weeks 1 - 4

Core Foundations & Strategy Architecture

Build an ironclad understanding of the tech stack, competitive positioning models, and user discovery frameworks to pass initial evaluation screens smoothly.

Week 1

Foundations of Product Management

Introduction to the modern product management role, encompassing both B2B and B2C scenarios.
Deep dive into the Product Management Life Cycle, including the Discovery, Delivery, and Distribution phases.
Understanding essential hard and soft skills for product management and how to develop them.
Exploring the integration of AI in product management to enhance product sense.
Overview of various AI tools applicable across the product management lifecycle.
Linking innovation, product, and growth strategies for successful product and brand management.
Examining the evolution of product management and key drivers of a product concept.

Outcome: By the end of this week, you will have a comprehensive understanding of the product management role, its lifecycle, and the strategic thinking required, including the foundational impact of AI.

Week 2

Product Strategy and Creative Execution

Creating a product vision driven by customer insights and business opportunities.
Developing a solid product strategy and aligning it with a clear product roadmap.
Crafting effective Product Requirements Documents (PRDs).
Implementing effective execution and goal setting using OKRs, sprints, and agile methodologies.
Understanding how AI is transforming product strategies and leveraging it for advantage.
Utilizing AI to create and refine product strategies and roadmaps.
Applying expert methods to generate product artifacts with AI, such as PRDs, roadmaps, stakeholder management plans, and user stories.
Delving into the product development process, design thinking, understanding customer needs and behavior, and the role of marketing in product development.
Focusing on creating superior value for customers throughout the product development process.

Outcome: You will gain the ability to excel in strategic planning and execution, lead cross-functional teams, and leverage AI to streamline product development and deliver impactful products.

Week 3

User & Market Research - Product Discovery and Analysis

Learning to discover, validate, and articulate impactful user problems.
Understanding user psychology and motivation theories.
Identifying product opportunities through surveys, user interviews, and secondary research.
Converting research findings into user personas and customer journey maps.
Applying frameworks like Jobs to be Done (JTBD), 5 Whys, and MOM's Test for effective research and framing.
Addressing common user challenges in building AI products.
Utilizing top product management frameworks and decision models with AI.
Conducting competitive research and market analysis using AI tools like NoteBookLM and Napkin AI.
Defining markets, assessing potential, and understanding segmentation and targeting strategies.

Outcome: You will be proficient in conducting thorough user and market research, identifying genuine user needs, and using AI and established frameworks to uncover and validate product opportunities.

Week 4

Competitive Positioning and Technology Acumen

Understanding the need for technological acumen for product managers.
Exploring how the internet works and the 3-layer architecture (front-end, databases, backend).
Reviewing popular tech stacks (Google, Twitter, Product Hunt).
Understanding storage and databases, and how to use SQL as a product manager.
Learning about APIs and webhooks.
Analyzing the system design of popular applications like Instagram and Youtube.
Understanding the technology behind mobile apps, Git, GitHub, and deployment management.
Introduction to Cloud and AI/ML product management, and effective collaboration with engineers.
Developing skills in competitor mapping and analysis.
Understanding the importance of positioning strategy, how to position for market advantage, and creating disruptive positioning strategies and communication.

Outcome: You will develop a foundational understanding of technology relevant to product management, enabling better communication with engineering teams and effective competitive analysis and positioning.

Phase 2 | Weeks 5 - 8

Data Analytics & AI Architecture Engineering

Deep dive into analytical metrics pipelines, core machine learning mechanics, context optimization layers, and non-deterministic system evaluation design.

Week 5

Product Analytics and Experimentation

Embracing data-driven decision-making for product managers.
Identifying important product metrics for various business types.
Understanding and defining North Star metrics.
Learning how to select the right metrics for any product and feature.
Implementing event-based tracking, including users, events, and properties.
Extracting insights using funnels, segmentation, and cohort reports.
Conducting experiments and A/B testing.
Utilizing AI for de-duplication and data cleaning.
Integrating data tools with AI (GPT/Claude/LLAMA).
Revisiting the product development process, including expediting decisions, understanding opportunity cost and development risk.
Grasping product-market fit and product-company fit.
Understanding Minimum Viable Product (MVP) and growth hacking.

Outcome: You will gain proficiency in using data to drive product decisions, defining and measuring key metrics, and implementing effective experimentation for product validation and growth.

Phase 3 | Weeks 9 - 12

Agentic Automation & Scaling Systems

Master agent orchestrations, commercial monetization mechanisms, user adoption loops, and custom AI tools optimization frameworks.

Week 9

Deep Dive into AI Agents and Willingness to Pay

Understanding AI Agents: what they are and how they operate.
Exploring the 7-step AI Agent development framework (The AI Agent Stack).
Learning how to effectively use AI Agents.
Understanding Model Context Protocol (MCP) and its application in building and distributing AI agents.
Discovering how AI Agents can enhance existing AI products.
Building and deploying your own AI Agent.
Examining common pricing approaches.
Measuring customer Willingness to Pay (WTP).
Setting appropriate pricing levels and understanding the role of cost.

Outcome: You will comprehend production-level AI agents, be able to build and deploy your own, and master pricing strategies based on customer willingness to pay and cost considerations.

Week 10

Designing AI Product Experiences and Product Positioning/Branding

Exploring the nuances and best practices in designing AI product experiences.
Addressing AI-native challenges such as hallucinations, streaming, latency, and undeterministic behavior.
Building AI products with considerations for regulations, trust, safety, and security.
Creating effective feedback loops and making informed model choices.
Utilizing Streamlit and Gradio for rapid AI interface development.
Innovating beyond the product itself.
Building strong brands: understanding the Brand Ladder, Brand Health, and distinctions between Consumer, B2B, and B2C branding.
Differentiating Customer Equity from Brand Equity.
Understanding the role of marketing and brand strategy, and why brands are crucial for pricing power.

Outcome: You will be able to design compelling and user-friendly AI product experiences, navigate common AI design challenges, and understand the strategic importance of product positioning and branding.

Week 11

AI Product Adoption, Growth & Scaling and Distribution Management

Implementing data feedback loops and adopting platform thinking for AI product managers.
Driving product-led growth in AI products for both B2C and B2B contexts.
Addressing challenges in scaling AI products.
Strategies for scaling an AI product effectively.
Analyzing the growth patterns of successful AI products (e.g., Cursor, Lovable, Grammarly, Notion AI).
Managing profitability and distribution relationships.
Understanding price positioning against distributor's private labels.
Managing trade incentives and discounts.
The role of brands in eCommerce, pricing solutions, dynamic pricing, and product platforms.

Outcome: You will master the strategies for achieving product adoption, growth, and scaling for AI products, alongside effective distribution and pricing management.

Week 12

PM Outcomes with AI and Product Performance Metrics

The optimal approach to leveraging AI as a Product Manager.
Effectively using AI for research and experimentation.
Harnessing AI tools to build and enhance your product management portfolio.
Utilizing AI tools for improved stakeholder management.
Developing your own AI tools to streamline your product management workflow.
Applying the AARRR Framework for comprehensive product performance analysis.
Understanding Return on Marketing Investments (ROMI).
Fine-tuning strategies across diverse geographical product-markets.
Utilizing strategic metrics for growth and resilience.

Outcome: You will unlock your full potential as a Product Manager by integrating AI tools and techniques, and effectively measure and manage product performance through key metrics and frameworks.

Career Acceleration

Interview, Negotiation and Job help

A continuous execution asset mapping directly beside your weekly curriculum modules to completely prepare you for high-stakes Big Tech interview evaluations.

Foundations

Profile Optimization & Custom Assets

Building a PM-focused Resume
Revamping your LinkedIn Profile
Creating a comprehensive Product Portfolio

Execution

Core Tactical Interview Loops

Product Sense & Design Questions
Execution & Analytical Questions
Metrics & Strategy Questions
Guesstimate questions and common live prompts
Take-home product assignment case study practice

Defense

Storytelling & Offer Close Strategy

Behavioral Questions & Structured Storytelling
High-pressure Mock Interview Sessions
Live Vibe Coding Sessions
Advanced mechanics for negotiating executive job offers