AI Product Management Foundations
This level introduces beginners to the essential concepts and skills required for AI product management, focusing on building and managing AI-first products.
Learning Objectives
Acquire foundational knowledge and skills in AI product management, including understanding LLM integrations, AI UX patterns, and data strategy for shipping MVPs to scale.
Chapters
Learn the basics of data strategy and its importance in AI product management.
Goal:Understand the role of data strategy in AI product management.
Explore emerging trends in data strategy for AI.
Understand what data strategy is and its importance.
Explore various methods of data collection for AI products.
Learn about maintaining data quality and effective data management.
Understand the importance of data privacy and security in AI.
Learn how data informs decision-making in AI products.
Explore how big data can be leveraged in AI products.
Learn how to build a comprehensive data strategy for AI products.
Learn the process of shipping a Minimum Viable Product (MVP) and scaling it successfully.
Goal:Understand the steps involved in shipping an MVP and scaling it.
Learn what a Minimum Viable Product (MVP) is and its purpose.
Explore how to define the core features of an MVP.
Understand the development process for an MVP.
Learn how to launch an MVP to gather initial feedback.
Learn how to analyze feedback from the MVP launch.
Explore the process of iterating on the MVP based on feedback.
Understand the steps involved in scaling an MVP to a full product.
Explore case studies of successful MVP launches and scaling.
Discover the fundamental AI UX patterns for designing intuitive and effective user experiences.
Goal:Understand basic AI UX patterns and their application in product design.
Explore how AI affects user interface design.
Learn the basics of AI UX and its importance in product design.
Learn about common AI UX patterns used in products.
Understand the principles of designing interactions with AI.
Learn how to gather and use user feedback in AI products.
Explore how AI can be used to personalize user experiences.
Learn about testing AI UX designs and iterating based on results.
Understand how AI can enhance accessibility in products.
Learn about Large Language Models (LLMs) and how they are integrated into products.
Goal:Understand the basics of LLM and their role in product development.
Explore the future trends and developments in LLM technology.
Introduction to Large Language Models and their capabilities.
Explore some of the widely used LLMs in the industry.
Learn the process of integrating LLMs into AI products.
Explore various use cases of LLMs in real-world applications.
Understand the challenges faced during LLM integration.
Learn how to evaluate the performance of LLMs in products.
Understand the ethical considerations when using LLMs.
Learn the basics of AI product management and its importance in the tech industry.
Goal:Understand the role and responsibilities of an AI product manager.
Introduction to the field of AI product management and its significance.
Explore the key roles and responsibilities of an AI product manager.
Learn how AI is integrated into product development processes.
Understand the phases of the AI product lifecycle.
Explore how to conduct market research for AI products.
Introduction to creating a roadmap for AI products.
Learn about the importance of cross-functional collaboration in AI product management.
Explore the ethical considerations when managing AI products.
Explore various career pathways for AI product managers and the skills required for advancement.
Goal:Understand the career opportunities and pathways in AI product management.
Explore the various career opportunities in AI product management.
Learn about the essential skills required for AI product managers.
Understand the importance of networking in AI product management.
Learn how to create a compelling resume and portfolio for AI PM roles.
Explore tips and strategies for preparing for AI product management interviews.
Learn about the pathway to advancing to senior AI PM roles.
Explore the latest trends and opportunities in AI product management.
Learn how to build a personal brand in the AI product management space.
Familiarize yourself with essential tools and technologies used in AI product management.
Goal:Learn about the tools and technologies essential for AI product management.
Introduction to various tools used in AI product management.
Explore project management tools commonly used in AI PM.
Understand the tools used for data analysis in AI PM.
Learn about collaboration platforms essential for AI PM teams.
Explore prototyping and design tools used in AI product management.
Learn about version control systems in AI product management.
Discover tools for gathering and analyzing customer feedback.
Explore emerging tools and innovations in AI product management.
Realtime audio conversation for interactive session.
Interactive realtime chat session.
Live whiteboard explanation and collaboration.
Real-time wide variety of examples.
Continuous assessment and feedback.
Progress monitoring and record progress journey.
Broadcast session with larger audience for free.
Attend audience queries and provide responses.