IIM Kozhikode | Professional Certificate Program in AI-Powered Product Development and Innovation
IIM Kozhikode
5 - 30 yrsAnywhere
5 - 30 yrsAnywhereFee
₹ 2,95,000 (Including Taxes)
Duration
10 Months
Experience
5 - 30 yrs
Delivery Method
Online
Lead AI-Driven Product Transformation
Course Detail
About the Programme:
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 certification prepares mid to senior-level product managers, AI engineers, entrepreneurs, and technology leaders for advanced roles in AI product management.
Key Features:
- Opportunity to earn a Certificate of Completion issued by IIM Kozhikode, ranked #3 among Management schools in India by NIRF 2024.
- Participate in the 3 day in-campus immersion module ensuring participants gain practical, actionable skills to lead AI product development and deployment successfully.
- Qualify for the Executive Alumni status from IIM Kozhikode upon successfully clearing the evaluation requirements of this program.
- Build and develop products based on real world scenarios through multiple case studies and tools and an end of the program Capstone.
- Leverage curriculum developed and delivered by the esteemed IIM Kozhikode faculty. Analyze real-world product strategies from leaders like HubSpot and Mastercard.
- Master platforms such as ChatGPT, Power BI, and MLflow-essential for developing and innovating product lines.
- Gain in-depth knowledge and practical skills to manage the entire AI product development journey-from problem definition, data strategy, AI model development, and prompt engineering to deployment, monitoring, and scaling.
- Learn to translate business objectives into actionable AI product strategies, prioritizing AI use cases, and communicating AI value to stakeholders.
- Dedicated Cohort Managers to assist throughout the program on any queries and issues.
- Simplilearn Job Assist to help you enhance your portfolio and improve professional prospects.
Desired Candidate Profile
Eligibility:
- For Indian Participants - Graduates (10+2+3) or diploma holders (only 10+2+3) from a recognized university (UGC/ AICTE/DEC/ AIU/State Government) in any discipline.
- For International Participants - Graduation or equivalent degree from any recognized University or Institution in their respective country.
- At least 5+ years of work experience
Course Modules
Learning Path Visualization
Introduction to AI Product Development- Overview of AI vs traditional product development
- Types of AI products and market trends
- AI product lifecycle phases
- Identifying AI business opportunities
- Defining vision, goals, and success metrics
- Market research and competitive analysis for AI products
- Data collection, labeling, and pipeline building
- Module 4: Data Strategy and Management for AI
- Tools for data annotation and versioning
- Data governance and quality management
- User-centric AI design principles
- Differentiating AI-driven vs non-AI components
- Prototyping and validation of AI products
- Basics of machine learning model training and tuning
- Model validation techniques and experimentation tools (e.g., MLflow)
- Integrating AI models into product workflows
- Crafting effective prompts for generative AI models
- Applying prompt engineering in product ideation and user research
- Using generative AI for feature innovation and automation
- CI/CD for AI models
- Deployment strategies: cloud, edge, on-premise
- Monitoring model performance, drift detection, and updates
- Automating product management workflows with AI agents
- Leveraging AI tools for data analysis and insights extraction
- Enhancing decision-making with AI-powered dashboards
- Translating business objectives into AI product strategy
- Prioritizing AI use cases and feature backlog management
- Communicating AI value to leadership and cross-functional teams
- Addressing AI bias, fairness, and transparency
- Developing AI governance and oversight frameworks
- Legal and compliance considerations in AI product management
- End-to-end AI product development and deployment project
- Real-world problem solving with mentorship from IIM faculty
