AI+ Product Manager™ Innovate Products Faster with AI-Enabled Management

Looking to build credible, job-ready skills in AI product leadership? The AI+ Product Manager course India track is a practical route to AI product management certification India, designed to help you manage AI-enabled roadmaps, define measurable outcomes, and lead responsible deployments.

In addition, this AI product manager certification in India strengthens your ability to plan and govern model-backed features through AI-driven product lifecycle training that fits real product teams. Delivered by an authorized partner, Seven People Systems AI certification India also supports structured exam readiness, so you can apply what you learn with confidence across discovery, delivery, and iteration.

What you will get

High-Quality Videos, E-book (PDF & Audio), and Podcasts

AI Mentor for Personalized Guidance

Quizzes, Assessments, and Course Resources

Online Proctored Exam with One Free Retake

Comprehensive Exam Study Guide

Why This Certification Matters

Foundational AI Knowledge
Learn core AI concepts to improve product development and strategic decision-making.
Accelerated Innovation
Use AI tools to enhance customer experience, streamline workflows, and speed up time-to-market.
Data-Driven Strategy
Analyze trends and behavior using AI to create personalized, high-impact product strategies.
Responsible Product Leadership
Apply ethical AI practices to ensure fairness, transparency, and compliance in product development.

Who Should Enroll

Product Managers
Integrate AI into your workflows to accelerate innovation and improve product-market fit.
Aspiring Product Managers
Build a strong foundation in AI-powered product strategy to launch your career.
Technology Enthusiasts
Use AI tools to shape product experiences and optimize development processes.
Business Analysts
Enhance decision-making by applying AI to product insights and lifecycle management.
Students and Fresh Graduates
Develop future-ready skills in AI product management to stand out in a competitive job market.

ChatGPT
AI Fairness 360
Power BI
IBM Watson OpenScale

Prerequisites

Basic understanding of digital technologies and their impact on business and product development
Interest in exploring how AI can be integrated into the product lifecycle
Openness to learning new concepts and emerging technologies

Exam Blueprint:

Introduction to Artificial Intelligence (AI) for Product Managers - 11%
Fundamentals of Machine Learning - 11%
AI Product Development Lifecycle - 13%
AI Ethics and Bias - 13%
AI Implementation Strategies - 13%
AI Metrics and Performance Evaluation - 13%
AI Regulation and Compliance - 13%
Future Trends in AI and Product Management - 13%

Frequently Asked Questions

How will this course benefit my career as a product manager
This course equips you with AI-driven skills to innovate faster, make data-informed decisions, and lead product development in a competitive, tech-driven market.

Who is the target audience for this certification
This certification is ideal for current and aspiring product managers, business analysts, technology professionals, and anyone interested in applying AI in product development.

Can I apply the knowledge gained from this course across different industries
Yes. The tools, strategies, and frameworks taught in this course are applicable across sectors such as tech, healthcare, fintech, retail, and more.

Will I receive a certification upon completing the course
Yes. Participants who complete the course and pass the final assessment will receive an industry-recognized digital certificate from AI Certs.

What are the prerequisites for enrolling in this course
You should have a basic understanding of digital technologies, interest in AI integration for product development, and an openness to learning emerging tools.

Detailed Course Outline 🡇 Download

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AI+ Product Manager All you need to know about this course

AI+ Product Manager™ is a practical certification course that helps you apply Artificial Intelligence across the product lifecycle—from discovery to delivery. Delivered in India by Seven People Systems Pvt. Ltd., it builds a solid foundation in AI, Machine Learning, and responsible implementation. As a result, you learn how to plan, evaluate, and scale AI-driven products with confidence and clarity.

What is AI+ Product Manager™ Certification?

AI+ Product Manager™ is a role-based certification designed to strengthen the technical and strategic skills needed to manage AI-powered products. It explains core AI concepts, shows how AI improves product decisions and customer experiences, and reinforces responsible practices such as ethics, bias prevention, and compliance. In addition, hands-on tasks help you apply AI in the product development lifecycle.

Delivered in India by Seven People Systems Pvt. Ltd. (AI CERTs Authorized Training Partner), the certification supports professionals who want to integrate AI into real product workstreams while aligning with business goals and governance expectations.

What you’ll be able to do after this certification

Manage the lifecycle of AI-driven products, from problem definition to deployment and iteration.
Use data-driven insights to strengthen ideation, prototyping, testing, and product decisions.
Prepare and work with data using practical workflows for cleaning, integration, and transformation.
Address AI ethics, bias, and stakeholder concerns while keeping products fair and trustworthy.
Apply performance evaluation thinking using AI metrics to improve model and product outcomes.
Follow regulation and compliance principles to reduce risk and support responsible innovation.

Who should enroll in AI+ Product Manager™?

This certification suits learners in India who want to lead AI-powered product initiatives, even if they do not code daily.

Recommended for

Product Managers who want to use AI to solve business problems and enhance product offerings
IT Professionals and Developers who aim to integrate AI technologies into product development
Business Leaders and Entrepreneurs who want to drive innovation through AI-powered products

Prerequisites

Familiarity with digital technologies and how they influence professional work
Interest in integrating AI into product development practices
Openness to learn new concepts and evolving technologies

Skills you will gain (AI+ Product Manager™)

By the end of the program, you will be able to plan, ship, and improve AI-enabled products using a structured approach.

Core AI product skills

Translate product goals into AI-ready problem statements and measurable outcomes
Use AI to support ideation, prototyping, testing, and lifecycle optimization
Make better product decisions using AI-driven analytics and forecasting workflows

Machine Learning fundamentals for PMs

Understand ML types and where they fit in product strategy and delivery
Work with practical data preparation steps that influence model quality and reliability

Responsible AI leadership

Manage bias, ethics, and stakeholder expectations during AI implementation
Align AI initiatives with regulation, compliance, and safe innovation pathways

What does the AI+ Product Manager™ course cover?

1: Introduction to AI for Product Managers

AI concepts, historical advances, and practical applications in product management
Ethical considerations, bias awareness, and effective integration into product work

2: Fundamentals of Machine Learning

ML workflow and why data preparation matters for product outcomes
Hands-on exposure to cleaning, integration, and transformation approaches

3: AI Product Development Lifecycle

Key stages: problem identification, data collection, model development, and deployment
Risk management and alignment with user needs, standards, and regulations

4: AI Ethics and Bias

Practical governance thinking to reduce bias and improve fairness
Responsible decision-making for trustworthy AI products

5: AI Implementation Strategies

Plan integration across product development with clear objectives and tool choices
Drive adoption with stakeholder alignment and operational readiness

6: AI Metrics and Performance Evaluation

Use performance evaluation principles to monitor quality, reliability, and impact
Improve outcomes through iteration and continuous learning cycles

7: AI Regulation and Compliance

Understand compliance expectations and reduce implementation risk
Support safe innovation with structured governance and oversight

8: Future Trends in AI and Product Management

Anticipate evolving AI capabilities and adjust product strategy accordingly
Build competitive product roadmaps through strategic AI planning

Learning outcomes by role

Product & Growth Teams

Use AI for customer insights, personalization, and roadmap prioritization
Improve feature decisions using forecasting and market trend signals

Engineering & Data Teams

Align data preparation and model delivery with product goals and constraints
Support deployment-ready workflows that manage risk and user needs

Business Leaders & Founders

Drive innovation using AI-powered products while balancing risk and compliance
Build proactive product strategies to stay competitive in dynamic markets

Real projects you’ll do

These projects mirror product work and help you show measurable capability.

AI Product Lifecycle Blueprint

Define the AI use case, user value, and success measures
Map lifecycle stages from data to deployment and iteration
Add risk controls for ethics, bias, and compliance

Customer Insights to Roadmap Workflow

Analyze behavior signals to identify needs and opportunities
Convert insights into prioritized product themes and experiments
Validate outcomes with monitoring and iteration loops

AI Integration Playbook for Product Teams

Define objectives and assess needs
Prepare and analyze data
Select tools, integrate into development, and monitor performance

Why learn AI Product Management in India?

AI is reshaping how products are designed, built, and improved. In India, product teams increasingly need PMs who can bridge customer needs with data, models, and responsible delivery. With AI+ Product Manager™, you learn how to use AI for faster insights, smarter prioritization, and stronger lifecycle execution—while keeping governance and trust central.

Certification value & career outcomes

AI+ Product Manager™ strengthens your ability to lead AI-driven products across strategy, execution, and governance.

Why employers value this certification

Proves you can manage the lifecycle of AI-driven products end-to-end
Signals you understand ethics, bias, and responsible implementation
Demonstrates you can integrate AI into product development through structured steps

Career outcomes (what it helps you do next)

Lead AI-enabled roadmap initiatives and cross-functional delivery
Improve product decision-making using analytics, forecasting, and customer insights
Build governance-ready product strategies that scale responsibly

Practical execution benefits

Reduce time spent on manual research and reporting through automation support
Improve decision quality with real-time insights and predictive analytics
Strengthen customer experiences using deeper personalization and behavior insights

AI Product Manager Checklist

Use this checklist to create repeatable, high-quality AI product outcomes.

Define the product goal and user value
Choose the AI use case and success measures
Confirm data availability and quality needs
Plan the lifecycle stages (data → model → deployment → monitoring)
Select suitable AI tools and integration points
Address ethics, bias, and trust requirements early
Define performance metrics and evaluation cadence
Ensure compliance and documentation readiness
Monitor, adjust, and upskill the team continuously

Tools & methods you’ll work with

AI+ Product Manager™ builds familiarity with product-ready AI workflows, including:

Data preparation and transformation approaches that support ML delivery
Analytics and forecasting concepts for roadmap decisions
Integration steps for embedding AI into product development practices

Use cases by industry

Healthcare

Use AI insights to improve service experiences and product outcomes across care journeys

Finance and retail ecosystems

Leverage data-driven decisioning and personalization to improve product performance

Transportation and mobility

Apply AI-enhanced decision-making for complex, dynamic product environments

Certification & Exam Overview

Level: Role-based professional certification
Learning mode: Self-paced
What you learn: AI foundations for PMs + ML basics + lifecycle management + ethics and bias + implementation strategy + metrics and evaluation + regulation and compliance + future trends
Assessment/exam: Online, exam-focused outcomes aligned to certification objectives
Delivered in India by: Seven People Systems Pvt. Ltd.

Why Seven People Systems Pvt. Ltd.

Choosing the right training partner matters. Your outcomes depend on structured learning, practice, and exam readiness—not just content consumption.Why learners in India choose Seven People Systems Pvt. Ltd.

Authorized training partner delivery aligned to certification requirements
Clear learning path across AI product fundamentals, lifecycle management, and responsible implementation
Practical, role-aligned guidance to help you integrate AI into product development
Structured resources and support designed for professional learners and teams
Outcome-focused approach that strengthens real product execution, not just theory