This course is designed comprehensively for aspiring leaders and managers in the digital world. It embarks you on a transformative learning journey into the dynamic landscape of AI product management, where innovation meets strategy.
You will begin this course with fundamental principles, essential infrastructure, and tools for AI-based products and dive deep into model development and maintenance. You will then explore the complexities of machine learning and deep learning and progress toward proven commercialization strategies for AI products. Next, you will learn macro and micro strategies for managing products built around AI, productizing machine learning services, and customizing specific verticals.
By the end of this course, you will have in-depth knowledge of AI product management and a deep understanding of the AI realm. You will be well-equipped to stay ahead of industry trends, focus on innovation and creativity, and elevate your career with in-depth specialized AI expertise.
This course is designed comprehensively for aspiring leaders and managers in the digital world. It embarks you on a transformati...Show More
WHAT YOU'LL LEARN
Understanding of the principles and tools for AI-based product development
A working knowledge of machine learning and deep learning technologies
Strategy development for macro and micro-level management of AI-infused products
The ability to productize machine learning services and customize solutions for specific verticals
The ability to benchmark AI product performance and optimize strategies
Understanding of the principles and tools for AI-based product development
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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.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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