Professional Certificate Programme in AI Product Development & Innovation

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

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

CICD 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