AI Product Manager CourseAI Strategy, Product Development, GenAI, Agents & Delivery –Live Training

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AI Product Manager Course
AI Strategy, Product Development, GenAI, Agents & Delivery –Live Training

This practical, industry-oriented course is designed for working professionals who want to transition into AI Product Management, AI Project Management, AI Program Management, AI Product Ownership, or AI-focused business and technology leadership roles.

The course combines traditional product and project management practices with practical Artificial Intelligence, Machine Learning, Generative AI, Large Language Models, AI Agents, AI evaluation, product strategy, and responsible AI.

Participants will learn how to identify AI opportunities, evaluate AI use cases, work with technical teams, define AI product requirements, manage AI development, measure AI product performance, and deliver AI-powered solutions that create measurable business value.

About the Instructor:

Rohit is an experienced AI Product Manager with strong industry exposure in building, managing, and delivering AI-driven products and solutions. He brings practical knowledge of Artificial Intelligence, Product Management, Generative AI, AI strategy, and product development..

As an instructor, Rohit combines industry experience with practical learning, helping learners understand how AI products are actually planned, developed, launched, and managed in real-world organizations.

As a trainer, Rohith has successfully trained 200+ students, focusing on practical and project-oriented learning. His training approach emphasizes real-time automation scenarios, hands-on implementation, reusable framework design, data-driven testing, parallel execution, reporting, CI/CD integration, database validation, and interview-oriented concepts. He also incorporates AI Product Manager, including AI-assisted test-script generation, coding assistance, locator suggestions, failure-log analysis and defect-summary generation, helping learners develop industry-ready Selenium automation skills and practical experience through real-world capstone projects.

Live Sessions Price:

Free Demo On:

Indian Timings: 1st October @ 9 PM – 10 PM (IST)/

U.S Timings: 1st October @ 11:30 AM – 12:30 PM (EST)/

U.K Timings: 1st October @ 4:30 PM – 5:30 PM (BST)

Class Schedule:

For Participants in India: Monday to Friday @ 9 PM – 10 PM (IST)

For Participants in the US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)

For Participants in the UK: Monday to Friday @ 4:30 PM – 5:30 PM (BST)

What students have to say about Rohith:

⭐️ “Rohith explains AI Product Management concepts in a very simple and practical way. His real-world examples made complex topics easy to understand.”. — Arun

⭐️ “The sessions with Rohith were highly informative and interactive. I especially liked his approach of connecting AI concepts with real business and product scenarios.”. — Arya

⭐️“Rohith has excellent knowledge of AI and Product Management. His guidance helped me understand how AI products are planned, developed, and launched.” — Ashok

⭐️“Rohith is an excellent instructor with strong industry knowledge. His teaching style is clear, structured, and easy to follow. I would definitely recommend his sessions to anyone interested in AI Product Management.” — Deepu

⭐️ “The course gave me a much better understanding of AI Product Strategy, Generative AI, and product development. Rohith’s industry insights added great value to the learning experience.” — Harsha

⭐️ “Rohith is a knowledgeable and supportive trainer. He explains every topic clearly and encourages students to think from both a business and technology perspective.”. — Vani

Understand the role of an AI Product Manager
Identify and evaluate AI business opportunities
Understand AI, ML, GenAI, LLMs, RAG, and AI Agents
Create AI product strategies and roadmaps
Write AI Product Requirement Documents
Measure AI product quality, cost, and performance
Manage AI product risks and responsible AI requirements
Plan AI projects from discovery to production
Use AI tools to improve product management workflows
Prepare for AI Product Manager and AI Project Manager roles

Salient Features:

30 Hours of Live Training along with recorded videos
1Year access to the recorded videos
Course Completion Certificate

Who can enroll for this course?

Product Managers and Product Owners who want to build expertise in AI-driven products
Business Analysts and Project Managers looking to understand AI and its business applications.
Software Professionals and Technology Leaders interested in transitioning into AI Product Management.
Entrepreneurs and Startup Founders who want to build and manage AI-powered products.
Marketing and Business Professionals interested in leveraging AI for product strategy and growth
Freshers and aspiring Product Managers who want to start a career in AI Product Management.
Anyone interested in understanding how AI, Generative AI, and LLMs can be applied to real-world products and businesses.

Course syllabus:

MODULE 01: Introduction to AI Product Management

Understanding the AI Product Manager Role

✦What is an AI Product Manager?
✦AI Product Manager vs Traditional Product Manager
✦AI Product Manager vs AI Project Manager
✦AI Product Manager vs AI Program Manager
✦AI Product Manager vs Product Owner
✦AI Product Manager vs Business Analyst
✦AI Product Manager vs AI Solutions Architect
✦How AI is changing software products and IT services
✦Why traditional IT professionals are moving into AI roles
✦Career pathways for Project Managers, BAs, Developers, QA Leads, and Technical Leads
✦Skills required to become an AI Product Manager
✦What AI Product Managers do in their daily work
✦Working with Product, Engineering, Data Science, UX, QA, Security, and Business teams

MODULE 02: Artificial Intelligence & Machine Learning Fundamentals

Learn AI Without Becoming a Data Scientist

✦What is Artificial Intelligence?
✦AI vs Machine Learning vs Deep Learning
✦Supervised Learning
✦Unsupervised Learning
✦Reinforcement Learning
✦Classification and Regression
✦Neural Networks
✦Natural Language Processing
✦Computer Vision
✦Recommendation Systems
✦Predictive Analytics
✦Training vs Inference
✦Datasets, Features, Labels, and Models
✦Model Accuracy and Limitations
✦Common AI use cases across industries
✦Understanding AI terminology used by technical teams

Course Features

Lecture 0
Quiz 0
Duration 10 weeks
Skill level All levels
Language English
Students 0
Assessments Yes

There are no items in the curriculum yet.

Kumar Guptha

Kumar has nearly 14+ years of rich, varied and extensive experience in Performance Testing. His insatiable passion for teaching has motivated to take-up Technical Training as main-stream work. He has 8+ years of real time experience and 6+ years Technical Training experience. During this journey, he has taken 100+ batches and trained 1000+ students via different modes (Online, classroom). Worked with major IT leaders such as Infosys, MindTree, IBM, etc in delivering high-quality training. His core competency includes performance testing using LoadRunner, Jmeter, Performance Center and StromRunner Load.

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