Content
1.
Getting Started
1 Lessons
Get familiar with responsible AI adoption, risks, and building AI-driven solutions.
2.
Infrastructure and Tools for Building AI Products
13 Lessons
Get started with the core tools and infrastructure for developing, managing, and deploying AI products.
Introduction to Infrastructure and ToolsDefinitions: What Is and Is Not AIMachine Learning vs. Deep Learning – Understanding the DifferenceLearning Types and Supervised Learning ModelsSemi-supervised, Unsupervised, and Reinforcement Learning ModelsThe Order—Flow and ProcessData Containers and PipelinesManaging Projects—IaaSDeployment StrategiesSucceeding in AIThe Promise of AISummaryQuiz
3.
Model Development and Maintenance for AI Products
10 Lessons
Explore model development, maintenance, NPD stages, model types, training, deployment, and ethical practices.
4.
Machine Learning and Deep Learning Deep Dive
10 Lessons
Grasp the fundamentals of machine learning, deep learning, neural networks, and ethical considerations in AI.
5.
Commercializing AI Products
8 Lessons
Map out the steps for commercializing AI products in B2B and B2C markets.
6.
AI Transformation and Its Impact on Product Management
8 Lessons
Follow the process of transforming product management with AI innovations across industries.
7.
Understanding the AI-Native Product
10 Lessons
Build on developing successful AI strategies, stages of development, team roles, and customization.
8.
Productizing the ML Service
11 Lessons
Step through the process of transforming AI services into commercial products for targeted audiences.
9.
Customization for Verticals, Customers, and Peer Groups
10 Lessons
Unpack the core of customizing AI products for verticals, focusing on market needs and strategies.
10.
Macro and Micro AI for Our Product
12 Lessons
Examine macro and micro AI to optimize products, addressing successes, pitfalls, and practical applications.
11.
Benchmarking Performance, Growth Hacking, and Cost
12 Lessons
Grasp the fundamentals of using metrics, KPIs, and growth hacking for AI product success.
12.
The Rising Tide of AI
8 Lessons
Map out the steps for AI adoption, industry impact, and strategic product management.
13.
Trends and Insights Across Industry
8 Lessons
Investigate AI's transformative impact, growth areas, and strategies for successful industry integration.
14.
Evolving Products into AI Products
11 Lessons
Build on the strategic integration of AI into existing products to create long-term value.
15.
Conclusion
1 Lessons
Get familiar with AI's potential, ethical concerns, and strategic positioning in product management.
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