AI Product Development & Innovation (Batch 03)

The Professional Certificate Programme in AI-Powered Product Development and Innovation is a comprehensive 10-month program designed for professionals aiming to master the end-to-end lifecycle of AI-powered product management. With over 120 hours of live learning led by distinguished IIM Kozhikode faculty, this programme equips participants with practical skills to ideate, design, develop, deploy and scale AI-driven products effectively.

Participants will gain deep expertise in integrating AI technologies-including generative AI and prompt engineering-into product innovation and workflow automation. The curriculum covers critical areas such as AI product strategy, data management, model development, deployment techniques, ethical AI practices, and AI product lifecycle management. Real-world case studies, hands-on projects, and a capstone assignment ensure that learners apply concepts in practical settings.

By the end of the programme, participants will be proficient in translating business goals into AI product roadmaps, leveraging AI tools for data-driven decision-making, and leading AI product initiatives with a strong ethical foundation. The certification prepares mid to senior-level product managers, AI engineers, entrepreneurs, and technology leaders for advanced roles in AI product management.

Indian Institute of Management Kozhikode Globalizing Indian Thought

69% of organizations are integrating AI into product workflows to automate decision-making and reporting.

Source: PwC AI Business Survey, 2024

Participants will be awarded a completion certificate issued by IIM Kozhikode on successfully completing all evaluation components including a capstone project and maintaining a minimum attendance of 75%. Participants who are unable to clear all evaluation components but have a minimum attendance of 75% will still be awarded a participation certificate.

We encourage you to attend all the live sessions and make the best out of these interactive learning experiences.

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Indian Institute of Management Kozhikode Globalizing Indian Thought

Module 1: Introduction to AI Product Development

Overview of AI vs traditional product development

Types of AI products and market trends

AI product lifecycle phases

Module 2: AI Product Ideation and Scoping

Identifying AI business opportunities

Defining vision, goals, and success metrics

Market research and competitive analysis for AI products

Module 3: AI Product Design & User Experience

User-centric AI design principles

Differentiating AI-driven vs non-AI components

Prototyping and validation of AI products

Module 4: Data Strategy and Management for AI

Data collection, labeling, and pipeline building

Tools for data annotation and versioning

Data governance and quality management

Indian Institute of Management Kozhikode Globalizing Indian Thought

Module 5: AI Model Development & Experimentation

Basics of machine learning model training and tuning

Model validation techniques and experimentation tools (e.g., MLflow)

Integrating AI models into product workflows

Module 6: Prompt Engineering & Generative AI

Crafting effective prompts for generative AI models

Applying prompt engineering in product ideation and user research

Using generative AI for feature innovation and automation

Module 7 : AI Product Deployment & Monitoring

CI/CD for AI models

Deployment strategies: cloud, edge, on-premise

Monitoring model performance, drift detection, and updates

Module 8: AI Product Automation & Workflow Integration

Automating product management workflows with AI agents

Leveraging AI tools for data analysis and insights extraction

Enhancing decision-making with AI-powered dashboards

Module 9: AI Product Strategy & Roadmap

Translating business objectives into AI product strategy

Prioritizing AI use cases and feature backlog management

Communicating AI value to leadership and cross-functional teams

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Indian Institute of Management Kozhikode Globalizing Indian Thought

Module 10: Ethics and Responsible AI

Addressing AI bias, fairness, and transparency

Developing AI governance and oversight frameworks

Legal and compliance considerations in AI product management

Module 11: Scaling & Lifecycle Management of AI Products

Crafting effective prompts for generative AI models

Applying prompt engineering in product ideation and user research

Using generative AI for feature innovation and automation