Work like a 10x Product Manager: learn GenAI basics and build your own PM AI assistant with Custom GPTs
β±οΈ Length: 1.3 total hours
π₯ 17 students
π February 2026 update
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- Course Overview
- The Evolution of the Product Role: This curriculum addresses the fundamental shift in product management where the primary differentiator is no longer just “shipping features” but the ability to leverage Generative AI to accelerate the entire product life cycle from ideation to sunsetting.
- Strategic AI Orchestration: You will move beyond using basic chat interfaces and learn how to act as a strategic orchestrator, using Custom GPTs to handle repetitive administrative tasks while you focus on high-level strategy and user empathy.
- Updated for the 2026 Landscape: The course content reflects the February 2026 update, incorporating the latest advancements in reasoning models, multi-modal inputs, and autonomous agent capabilities that have become standard in modern tech companies.
- Framework for 10x Productivity: We provide a structured framework for identifying “leverage points” in your daily routine where GenAI can provide a 10x return on your time, specifically tailored for the high-pressure environment of product leadership.
- Bridging the Technical Gap: This course serves as a bridge for non-technical PMs to understand the underlying mechanics of Large Language Models (LLMs), allowing them to communicate more effectively with engineering teams and data scientists.
- The “AI-First” PM Mindset: Shift your perspective from seeing AI as a novelty tool to viewing it as a core component of your Product Management toolkit, essential for surviving and thriving in an automated industry.
- Requirements / Prerequisites
- Foundational Product Knowledge: Participants should have a baseline understanding of the Product Development Life Cycle (PDLC), including concepts like discovery, delivery, and roadmap prioritization.
- Active OpenAI Subscription: To follow the practical demonstrations, access to a ChatGPT Plus, Team, or Enterprise account is required, as the course focuses heavily on building Custom GPTs which are currently gated behind paid tiers.
- Curiosity and Experimentation: A willingness to experiment with “failed” prompts is essential; the course rewards an iterative mindset where learning comes from refining AI outputs over multiple cycles.
- No Coding Experience Necessary: While we discuss technical concepts, there is zero requirement for programming knowledge, making this course accessible to business-oriented product owners and managers.
- Functional Device and Connectivity: A stable internet connection and a desktop/laptop environment are recommended for the hands-on GPT Builder sessions, as mobile interfaces are less optimized for complex configuration.
- Skills Covered / Tools Used
- Advanced Prompt Engineering: Mastery of Few-Shot Prompting, Chain-of-Thought reasoning, and Delimiter usage to ensure the AI produces high-quality, hallucination-free product documentation.
- Custom GPT Development: Step-by-step guidance on building specialized AI agents that are pre-loaded with your companyβs brand voice, product constraints, and specific user personas.
- Automated User Research Synthesis: Using Generative AI to ingest thousands of rows of customer feedback and instantly identify recurring themes, pain points, and feature requests.
- Market Intelligence Automation: Leveraging AI to perform real-time competitive analysis, SWOT evaluations, and market gap spotting by training models on industry-specific datasets.
- PRD and Epic Generation: Techniques to generate comprehensive Product Requirement Documents and user stories that require minimal editing, significantly reducing “blank page” syndrome.
- AI-Driven Prototyping: Utilizing multi-modal tools to turn text descriptions into wireframes and mockups, allowing for faster validation with stakeholders and design teams.
- Benefits / Outcomes
- Exponential Efficiency Gains: Graduates will be able to reclaim up to 40% of their work week by automating documentation, meeting summaries, and routine stakeholder communications.
- Enhanced Decision-Making Quality: By using AI to simulate “Devil’s Advocate” scenarios, you will uncover blind spots in your product strategy before they become costly mistakes in production.
- Creation of a Personal AI “Staff”: You will leave the course with a suite of proprietary Custom GPTs that act as your digital chief of staff, technical lead, and marketing copywriter.
- Career Future-Proofing: Position yourself as an AI-competent leader in an era where companies are actively seeking professionals who can demonstrate tangible productivity gains through technology.
- Superior Stakeholder Alignment: Use GenAI to quickly tailor complex technical roadmaps into simplified narratives for executive leadership, ensuring faster buy-in and resource allocation.
- Rapid Market Validation: Learn to use AI to simulate user interviews and persona reactions, allowing you to iterate on product concepts in hours rather than weeks.
- PROS
- Concise and Impactful: At only 1.3 total hours, the course respects the busy schedule of a PM, focusing on actionable tactics rather than theoretical fluff.
- Hands-On Project: The course concludes with a tangible assetβyour own Custom PM Assistantβrather than just a certificate of completion.
- Freshness of Content: The February 2026 update ensures that the techniques taught are compatible with the most recent LLM releases and interface changes.
- Niche Focus: Unlike generic AI courses, every example and exercise is specifically tailored to the PM workflow, from backlog grooming to GTM strategy.
- Scalable Skillset: The logic of Custom GPTs learned here can be applied to any future AI platform, whether it be OpenAI, Anthropic, or proprietary internal tools.
- CONS
- Subscription Dependency: The core value of the course relies on the user maintaining a paid subscription to high-end GenAI platforms, which may be a barrier for some self-funded learners.
Learning Tracks: English,Business,Other Business
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