AI Product Manager Training

7 Lesson

10 Hours

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Build practical AI product management skills with igmGuru's AI Product Manager Training. This program develops expertise in AI product strategy, customer discovery, roadmap planning, generative AI, product lifecycle management, AI governance, and product analytics. You will learn to define AI use cases, prioritize features, collaborate with cross-functional teams, evaluate AI model performance, and make data-driven product decisions. Through structured exercises and real-world case studies, this training prepares professionals to lead the development and delivery of responsible, business-focused AI products.

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Overview

Prerequisites:

Basic understanding of product development lifecycle
Familiarity with software or digital products
General awareness of AI/ML concepts is helpful but not required

What You Will Learn:

Understand how AI impacts product strategy and development
Identify and evaluate AI opportunities in products
Collaborate with data science and engineering teams
Define AI product requirements and manage data workflows
Design user-centered AI features and interfaces
Ensure ethical, legal, and compliant use of AI in products
Measure and iterate AI product performance

Tools and Technologies Covered

AI & Machine Learning Platforms (TensorFlow, PyTorch, Hugging Face)
Generative AI Tools (ChatGPT, GPT models)
Data Analytics & Visualization (Tableau, Power BI)
Product Management Tools (Jira, Trello, Asana)
MLOps & AI Project Lifecycle Tools (MLflow, Dataiku)
Prototyping & No-Code AI Tools (Figma, Bubble, Lobe)
Customer Feedback & Analytics Tools (Qualtrics, Hotjar)
A/B Testing & Experimentation Platforms
Collaboration & Workflow Tools (Slack, Confluence, Notion)
Cloud AI Platforms (AWS AI/ML, Azure AI, Google Cloud AI)

Course Curriculum

Lesson 1 - Introduction to AI in Product Management

1. Role of AI in product innovation

2. Differences between AI products vs traditional software

3. Overview of AI lifecycle and team collaboration

Lesson 2 - Identifying AI Opportunities

1. How to recognize use cases for AI in product strategy

2. Assessing technical feasibility and business impact

3. Examples of AI features in successful products

Lesson 3 - Data Strategy for AI Products

1. Importance of data in AI product development

2. Sourcing, labeling, and preparing datasets

3. Working with data teams and ensuring data compliance

Lesson 4 - Designing AI Product Features

1. Translating user needs into AI-enabled features

2. Designing for input/output behavior and explainability

3. Creating user trust with transparent AI experiences

Lesson 5 - Cross-Functional Collaboration

1. Working with engineers and data scientists

2. Understanding model performance: accuracy, precision, recall

3. Aligning technical constraints with product goals

Lesson 6 - Ethics and Compliance in AI Products

1. Avoiding bias and promoting fairness in AI

2. Overview of privacy laws: GDPR, CCPA

3. Implementing ethical AI product governance

Lesson 7 - AI Product Delivery and Optimization

1. Prototyping, launching, and monitoring AI features

2. A/B testing and performance measurement

3. Continuous improvement with feedback and metrics

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+91 7240740740 (India)

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 10 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 05 Jul 2026
Weekday Batch 06 Jul 2026
Weekend Batch 11 Jul 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

Trusted By Top Companies Worldwide

Want to know Today's Offer

AI Product Manager Certification Online

Upon completing the AI Product Manager course and real-world simulations, learners will receive a Course Completion Certificate from igmGuru. This certification demonstrates your skill in managing AI-powered products through lifecycle strategy, design, and cross-functional collaboration.