Program Overview

The AI-Powered Product Management Professional Program is a cutting-edge course designed to equip aspiring product managers with the skills to leverage artificial intelligence in every stage of the product lifecycle. This course combines the fundamentals of traditional product management with innovative AI-driven strategies to enable more effective decision-making, product development, and performance analysis. As businesses move towards digital transformation, AI is becoming a key player in how products are developed, optimized, and managed. In this program, you will learn how AI can drive product innovation, optimize customer experiences, and streamline business operations. By the end of the course, you will be equipped with the knowledge and practical tools to manage AI-powered products and collaborate with data scientists and engineers to build smarter, more efficient solutions.

Eligibility Criteria

  • No prior technical background is required, but a basic understanding of business, product management, or project management will be beneficial.
  • Ideal for aspiring product managers, existing product managers looking to incorporate AI into their workflow, or professionals in technology or business roles who want to transition into product management.
  • An interest in AI, data science, and technology-driven innovation.

Skills covered

  • Introduction to Product Management
  • Understanding AI and Its Role in Product Management
  • AI-Driven Product Development Process
  • AI-Powered User Research and Insights
  • Data-Driven Product Decision Making
  • AI for Customer Experience and Engagement
  • AI Product Analytics & Feedback Loops
  • AI Ethics, Privacy, and Responsible Product Management
  • Go-to-Market Strategies for AI Products
  • AI Product Roadmaps and Scaling AI Products

Tools covered

  • Google Cloud AI, Amazon SageMaker, Microsoft Azure AI for integrating AI models into products.
  • AI analytics platforms such as Tableau, Power BI, and Looker for tracking product metrics.
  • Tools for user testing and sentiment analysis using AI like Qualtrics and Survicate.
  • Figma, Sketch, and InVision for wireframing and prototyping AI-powered user interfaces.
  • Jira, Trello, Asana for project management and sprint planning.
  • Confluence for documentation and team collaboration.
  • Aha! for roadmapping AI-powered product strategies.
  • Google Analytics, Mixpanel, Amplitude for tracking user behavior and product performance.
  • AI-based tools like Heap Analytics for advanced product analytics.

Learning Experience Highlights

  • Interactive Peer Learning: Collaborate and network with peers and mentors in a dynamic online environment.
  • Flexible Access: Missed a session? Catch up anytime with recorded classes.
  • Dedicated Mentorship: Get personalized guidance through expert mentoring sessions.
  • Comprehensive Support: A dedicated cohort manager is always ready to assist you.

Career Support with Job Assistance

Our exclusive JobAssist Plus program helps you transition from learner to professional by providing:

  • Group mentoring and networking opportunities
  • Interview preparation and skill assessments
  • AI-driven profile optimization
  • Mock interviews with industry mentors

Average Starting Salary in India : ₹8 – ₹10 LPA

Growth Potential : With GenAI skills, professionals can expect 1.5x faster promotion cycles and broader global opportunities.

Why join this course ?

Elite Certificate

Receive a certificate of program completion from simplirise

Unlock Exclusive Opportunities

Engage in live virtual master classes delivered by experience faculty

Experience Hands-on Learning

Applied learning through 15+ hands-on projects and tools with seamless access to integrated labs

Learn Popular GenAI Tools

Exposure to ChatGPT, Hugging Face, DALL-E 2, Gemini and other prominent tools

What Makes This Program Unique?

  • Industry-relevant curriculum aligned with real job roles
  • Practical tools used by top companies around the world
  • Peer learning and community-based progress tracking
  • Modular design — easy to follow and digest even for beginners
  • Access to Simplirise Corporate Network for job placement opportunities

Registration Process

Fill out the form and tell us why you're interested in the program.

Our admissions team will evaluate your background and motivation.

Once selected, secure your seat by paying the admission fee and begin your learning journey.

Apply here

Frequently Asked Questions?

The course typically lasts between 6 to 9 months, depending on whether you opt for part-time or full-time learning. Flexible scheduling options are available for professionals.

No technical background is required. While understanding basic product management principles is helpful, the course is designed for non-technical professionals as well. We will cover AI concepts from a product management perspective.

After completing this course, you will be qualified for roles such as AI Product Manager, Product Owner, Data-Driven Product Manager, Product Strategist, or AI Product Lead. The skills you gain will allow you to manage AI-powered products and drive innovation in tech companies.

You will get a high-level understanding of AI and machine learning as it relates to product management. The course will cover key concepts like supervised and unsupervised learning, neural networks, and NLP. You'll also learn how AI can be integrated into products to enhance decision-making, improve user experience, and optimize product performance.

This course is focused on product management, so you will not be learning how to build AI models directly. However, you will gain a strong understanding of how AI models work and how to collaborate effectively with AI engineers and data scientists.

Yes! You will gain hands-on experience with AI tools for data analysis, product testing, and performance tracking. We also provide practical exercises where you will integrate AI into product features, create AI-powered MVPs, and develop AI product strategies.

Yes, including resume building, interview preparation, and job referrals. You will also gain access to a network of professionals and companies working in the AI and tech space. Be sure to ask about specific placement support