Description
Book SynopsisChapter 1: Fundamentals of AI Startup.- Chapter 2: AI Startup Landscape.- Chapter 3: Product Market Validation for AI-First SaaS .- Chapter 4: Product Market Validation for AI as a Service (AlaaS).- Chapter 5: AI Product Strategy.- Chapter 6: Human-Centered AI-Experience Design.- Chapter 7: Human-Centered AI Developer Experience Design.- Chapter 8: Building AI Platform.- Chapter 9: Go-To-Market Strategy for AI Startup.- Chapter 10: AI Startup Exit Strategy.
Table of Contents
· Chapter 1: Introduction of AI Product Management:
Chapter Goal :
o To understand the foundation of enterprise AI.
o To understand AI start-up's landscape, including taxonomy, business value and ROI, business models, and valuation.
o Case Study.
· Chapter 2: Product Market Validation for B2B AI Start-ups:
Chapter Goal:
o To understand why we need to do AI product-market validation for B2B.
o To understand when to do AI product-market validation for B2B.
o To understand how to do AI product-market validation for B2B.
o Case Study.
· Chapter 3: Product Market Validation for B2D AI Start-ups:
Chapter Goal:
o To understand what is a developer-centric product.
o To understand why selling to the developer is one of the best strategies for AI products.
o To understand how to do AI product-market validation for B2D.
o Case Study.
· Chapter 4: AI Product Strategy:
Chapter Goal:
o To understand the foundation of product strategy.
o To understand how to do discovery for AI-related products.
o To understand how to do AI product requirement analysis.
o To understand how to do AI product prioritization.
o Case Study.
· Chapter 5: AI Product Development in practice:
Chapter Goal:
o To understand the foundation of the product lifecycle.
o To understand how to do User Research for AI products.
o To understand how to do AI product development.
o Case Study.
· Chapter 6: Software Development Lifecycle for AI products :
Chapter Goal:
o To understand the foundation of the software development lifecycle (SDLC).
o To understand how the SDLC for AI is different from traditional SDLC.
o To understand DevOps and MLOps concepts, the difference, and practices.
o Case Study.
· Chapter 7: Software Architecture and Team design for AI products :
Chapter Goal:
o To understand the importance of Conway law for AI start-ups.
o To understand why data engineering and operations are the keys to successful AI start-ups.
o To understand how to design scalable data-intensive software architecture.
o To understand how to define a highly effective technical team
o Case Study.
· Chapter 8: Building effective AI Product Go-To-Market strategy :
Chapter Goal:
o To understand the foundation of AI start-ups' growth strategy.
o To understand the B2B and B2D sales funnels, the difference, and strategies.
o Understanding AIaaS and AI-powered SaaS marketing and growth metrics.
o Case Study.
· Chapter 9: Building effective AI Product Go-To-Market strategy :
Chapter Goal:
o To understand the foundation of AI start-ups' growth strategy.
o To understand the B2B and B2D sales funnels, the difference, and strategies.
o Understanding AIaaS and AI-powered SaaS marketing and growth metrics.
o Case Study.
· Chapter 10: Building effective AI Product Go-To-Market strategy :
Chapter Goal:
o To understand the foundation of AI start-ups' growth strategy.
o To understand the B2B and B2D sales funnels, the difference, and strategies.
o Understanding AIaaS and AI-powered SaaS marketing and growth metrics.
o Case Study.
· Chapter 11: Recruiting and Managing AI talents:
Chapter Goal:
o To understand that production AI is different from academia Ph.D.
o To understand how to scout and recruit AI talents.
o To understand how to outsource AI development.
o To understand how to manage the AI team and minimize turn-over.
o Case Study.
· Chapter 12: Strategizing Exit Plan:
Chapter Goal:
o To understand how to drive strategic value in AI start-ups.
o To understand how to targeting acquisitors.
o To understand the M&A process and how to select M&A advisors.
o The future of Enterprise AI landscapes.
o Wrapping Up.
o Case Study.
