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AI Product Management – 2hrs Live Webinar
Unlock the essentials of managing AI and machine learning products! This focused session will guide you through the unique challenges of AI Product Management — from data-driven development and prompt engineering to model evaluation, MLOps/LLMOps, and cross-functional collaboration. Stay ahead with insights on AI governance, regulatory frameworks (EU AI Act, DORA, Responsible AI), and ethical design strategies. Featuring real-world case studies from top tech companies, this webinar is perfect for product managers, tech leaders, and innovators looking to navigate the fast-evolving AI landscape.
- Date : 29th MAY 2025 & Timing : 11.00 AM to 1.00 PM
- Hands on
- Participation Certification
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Course Overview
General Description:
AI Product Management – Webinar:
This 2-hour live webinar introduces the essentials of AI Product Management, covering how it differs from traditional product management. You’ll explore data-centric development, LLM-based products, prompt engineering, MLOps/LLMOps, and responsible AI practices. The session also touches on governance, compliance, and evolving regulations, with practical insights and real-world case studies to help you confidently manage and scale AI products.
Course Objectives
The objective of this course is to equip product managers, technologists, and business leaders with the specialized knowledge and practical tools needed to successfully manage AI-driven products. By the end of the course, participants will:
Understand the unique challenges and opportunities in AI product management compared to traditional product management.
Gain deep insight into the data-centric development lifecycle, model evaluation, and the critical role of cross-functional collaboration.
Learn how to manage large language model (LLM)-based products, including prompt engineering, explainability, and ethical considerations.
Navigate governance, risk, and compliance (GRC) requirements in AI, including key regulations like the EU AI Act and DORA.
Master operational best practices such as model versioning, MLOps/LLMOps, and scalable AI deployment pipelines.
Develop strategic thinking for AI-first vs. AI-enhanced products, prioritize features effectively, and apply ethical design frameworks.
Apply learnings through real-world case studies from frontier tech companies, preparing for immediate application in their own organizations.
- Trainer Profile :
Rammohan Thirupasur is a highly accomplished Technology Leader and former Associate Directorat
IBM/Kyndryl, boasting over 25 years of IT experience, including 17+ years inleadership
roles across Hybrid-Cloud, Security & Managed Services in the EMEA and AP regions. He
was rated as top people Manager at IBM/Kyndryl and led teams of 100+ reporting to him
globally.
Renowned as a technology trainer and coach, he excels in simplifying complex concepts
in Gen AI, Hybrid Multi-Cloud, AI Security & ICS/OT Security empowering organizations
and professionals to harness innovation effectively
Target Audience / Prerequisites
- Product Managers
- AI/ML Project Leads
- AI/ML Engineers
- Software Developers
- Technology Leaders & CTOs
- Consultants & Entrepreneurs
To ensure participants are well-prepared and can fully benefit from the course, the following prerequisites are recommended:
A basic understanding of product management principles and processes.
Familiarity with software development lifecycles and cross-functional team collaboration
General awareness of AI and machine learning concepts (no deep technical expertise required)
An interest in ethical, regulatory, and operational aspects of deploying AI at scale
Certification
Sample Certificate
- After successfully completing the training programme, as well as the real-time hands-on and projects, you will be awarded a Futuretech course completion certificate.
Course Duration & Course Schedule Date
- Duration: 2 Hours
- 29th May 2025
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Course Outline
Module 1: Introduction to AI Product Management
- How AI Product Management differs from traditional Product Management
Understanding AI-first vs. AI-enhanced products
The data-centric development lifecycle
Module 2: Core Concepts in AI & ML for PMs
Basics of machine learning models and pipelines
Model evaluation metrics: accuracy, precision, recall, F1, etc.
Role of product managers in AI development
Module 3: Managing LLM-based Products
Introduction to large language models (LLMs)
Prompt engineering as a design layer
AI explainability and user experience
Module 4: Governance, Risk, and Compliance (GRC)
Understanding AI/ML GRC frameworks
Regulatory landscape: EU AI Act, DORA, Responsible AI principles
Building compliant and ethical AI products
Module 5: AI Operationalization (MLOps & LLMOps)
Overview of MLOps and LLMOps practices
Model versioning and continuous integration/continuous deployment (CI/CD)
Scaling and monitoring AI in production
Module 6: Strategic Decision-Making in AI Products
Ethical design frameworks and responsible innovation
Feature prioritization in AI roadmaps
Balancing business value with technical feasibility
Module 7: Real-World Case Studies and Applications
Lessons learned from frontier tech companies
Common pitfalls and success factors in AI product delivery
Group discussion or Q&A
Review
Job Opportunities
FAQ
AI Product Management focuses heavily on data, model performance, explainability, and cross-functional alignment with data scientists, ML engineers, and compliance teams — areas often less central in traditional PM roles.
Yes! We’ll explore model versioning, deployment pipelines, continuous monitoring, and the unique challenges of maintaining AI/ML systems in production.
Absolutely. We’ll cover key frameworks like Responsible AI, the EU AI Act, and DORA, and show how to embed ethical and compliant practices into your product development process.
You’ll leave with actionable frameworks, best practices, and a clearer understanding of how to drive successful AI product outcomes — whether you’re managing, designing, or scaling AI initiatives
AI Product Management – 2hrs Live Webinar
29th May 2025 | 11:00 AM to 1:00 PM | online mode
Special Offer for limited seats only… Hurry Up!!!
