PG Certification in Generative AI for Product Innovation and Management
This programme is offered by TheSSML in collaboration with the Department of Artificial Intelligence and Machine Learning (DAIML).
About the Programme
The PG Certification in Generative AI for Product Innovation and Management is an intensive 18 Months program tailored for professionals looking to revolutionize the way products are conceived, designed, and brought to market. This forward-thinking certification empowers participants with both strategic insights and hands-on technical skills to harness the power of generative AI across all stages of product development.
Throughout the program, participants explore how advanced AI techniques, such as deep learning and generative adversarial networks (GANs), can be integrated into traditional product management processes to foster innovation, reduce time-to-market, and enhance product quality. The curriculum is designed to cover the complete product lifecycle—from initial ideation and design prototyping to user testing, iterative improvements, and final product launch. Emphasis is placed on real-world applications, with case studies and practical projects that enable learners to test AI-driven methods in simulated market environments.
Key aspects of the course include understanding market trends through AI-powered data analytics, automating design workflows, and utilizing generative models to predict customer preferences and optimize product features. Participants receive training on how to implement AI tools that support decision-making, risk management, and market analysis. They also learn to navigate the challenges of ethical AI integration, ensuring that innovative products adhere to regulatory standards and maintain consumer trust.
By the end of the program, graduates are expected to lead product innovation initiatives, drive digital transformation within their organizations, and stay ahead of market competition with a solid foundation in generative AI technologies. This certification not only opens up opportunities for career growth in technology-driven industries but also equips professionals with a unique competitive edge in the evolving landscape of product management.
The program is ideal for product managers, innovation leaders, R&D directors, and technology strategists who are eager to blend creativity with cutting-edge AI to reshape how products are developed and managed. With a combination of expert-led sessions, collaborative projects, and hands-on labs, the certification serves as a launchpad for professionals aiming to spearhead transformative change in the market.
Key Skills Developed
Who is the programme for?
The PG Certification in Generative AI for Product Innovation and Management is designed for professionals in product development and management roles who aim to integrate generative AI into their strategies. Ideal candidates include product managers, AI strategists, machine learning engineers, and innovation leaders seeking to leverage AI technologies to drive product innovation and enhance management practices. This program is also suitable for entrepreneurs and business strategists looking to incorporate AI-driven solutions into their product offerings and organizational strategies. No prior technical background is required, making it accessible to a broad range of professionals eager to harness the potential of generative AI in product development.
How will you study?
The PG Certification in Generative AI for Product Innovation and Management offers a flexible, blended learning approach tailored for professionals aiming to integrate AI into product development and management.The program combines online modules with hands-on projects, enabling learners to apply AI concepts in real-world scenarios.Participants engage in live sessions, collaborate on group assignments, and work on case studies to deepen their understanding of AI applications in product innovation.This structure ensures that learners gain practical experience while accommodating their professional commitments.
Accreditation and Collaboration at TheSSML
The Standard School of Machine Learning (SSML) is committed to maintaining the highest academic and industry standards, supported by endorsements from globally recognized organizations such as the Machine Learning Accreditation Council (MACUL) and the All India Council for Technical Skill Development (AICTSD). These esteemed accreditations ensure that SSML’s initiatives align with international benchmarks, guaranteeing academic excellence and relevance in the rapidly evolving AI landscape.
In addition to these accreditations, SSML is proud to announce strategic collaborations with several distinguished academic and research institutions, as well as leading organizations across various industries. These partnerships enhance the institution's offerings, providing students with unparalleled access to cutting-edge AI research, development, and industry applications.
Key Collaborations Include:
- Ambaincip School of Business: Renowned for its focus on business innovation and entrepreneurship, Ambaincip contributes to developing AI-powered solutions to address real-world business challenges, helping students apply AI in practical business contexts.
- Narsamma School of Finance and Blockchain: This collaboration focuses on advancing AI applications within the financial sector, with a particular emphasis on blockchain, cryptocurrency, and decentralized finance (DeFi), empowering students to lead financial innovations through AI.
- Monappa School of Quantum Computing: Partnering in the realm of quantum algorithms and quantum machine learning, this collaboration offers students the opportunity to explore the intersection of quantum computing and AI, addressing complex issues that were previously unsolvable.
- Kamber School of Researchers: A research-driven institution at the forefront of pioneering AI research and development, Kamber School offers students the chance to engage in collaborative research projects with leading AI experts.
- BlackwellAi - LaB Innovation: A cutting-edge innovation lab dedicated to AI and machine learning technologies, BlackwellAi fosters the creation of AI solutions across various industries, advancing SSML’s commitment to solving global challenges with AI-driven innovations.
Impact of Collaborations:
This extensive network bridges the gap between academia, research, and industry, fostering a multidisciplinary approach to AI and machine learning development. With expertise in sectors such as finance, blockchain, quantum computing, and business innovation, SSML ensures its students receive a well-rounded education that integrates both theoretical knowledge and practical applications.
The collaborations also guarantee that SSML’s curriculum remains aligned with global standards and frameworks, including Artificial General Intelligence (AGI) and MACUL’s Machine Learning and Computational Learning guidelines, ensuring that students are equipped with the highest academic rigor while staying relevant to the dynamic global AI landscape.
Graduate Outcomes:
Graduates of SSML are equipped with both technical expertise and industry experience to drive innovative AI solutions. The institution’s emphasis on real-world applications and ethical considerations prepares students to make significant contributions to the rapidly evolving AI sector. With globally recognized credentials and world-class learning experiences, SSML graduates are prepared to lead AI innovations in various industries and create transformative impacts.
Location
Hybrid
Duration
1 Year
Intakes
January, April, June & September 2025
Tuition Fees
Rs 75,000/ -
The PG Certification in Generative AI for Product Innovation and Management is a comprehensive 18 months Program designed to equip professionals with the skills necessary to integrate generative AI technologies into product development and management processes. This certification focuses on leveraging AI to enhance product ideation, design, testing, and launch phases, enabling participants to drive innovation and maintain a competitive edge in the market.
Programme Structure and Electives
The PG Certification in Generative AI for Product Innovation and Management is structured to provide a well-rounded learning experience over the course of one year. The program combines theoretical understanding with hands-on practical application. In the initial phase, participants are introduced to the fundamentals of generative AI, its role in product management, and how to integrate AI into the product lifecycle from ideation to launch. The curriculum covers AI-driven product strategies, market research, customer insights, and design prototyping, with an emphasis on developing innovative products using AI tools. Participants will also explore testing, launching AI-enhanced products, and address the ethical considerations surrounding AI integration. The program culminates with a capstone project where learners apply their acquired skills to develop a comprehensive AI-integrated product plan, ensuring they gain real-world experience that can be directly applied in their professional roles. This structure enables participants to balance theoretical learning with practical, real-world challenges in product development and innovation.
Core Periods Modules
The PG Certification in Generative AI for Product Innovation and Management is structured to provide a well-rounded learning experience over the course of one year. The program combines theoretical understanding with hands-on practical application. In the initial phase, participants are introduced to the fundamentals of generative AI, its role in product management, and how to integrate AI into the product lifecycle from ideation to launch. The curriculum covers AI-driven product strategies, market research, customer insights, and design prototyping, with an emphasis on developing innovative products using AI tools. Participants will also explore testing, launching AI-enhanced products, and address the ethical considerations surrounding AI integration. The program culminates with a capstone project where learners apply their acquired skills to develop a comprehensive AI-integrated product plan, ensuring they gain real-world experience that can be directly applied in their professional roles. This structure enables participants to balance theoretical learning with practical, real-world challenges in product development and innovation.
- Period 0
Enterprise Data Management, Data Strategy, Modern Analytics for Business
Foundations of managing business data and formulating strategies for AI integration.
- Period 1
Data Operations, Monetization, Applied Data Science, Machine Learning Basics
Understanding how to operationalize data, monetize insights, and apply machine learning for product innovation.
- Period 2
AI Strategy, Governance, Generative AI Applications, Cybersecurity
Developing AI strategies, ensuring governance, and applying generative AI technologies for product development.
- Period 3
Scalable AI Development, AI Systems Deployment, Responsible AI Governance
Focusing on building scalable AI systems, deploying them, and ensuring ethical governance.
- Period 4
Industry Work Experience (3 Months), 2 Electives
Practical experience through work placements and elective courses to specialize in product innovation.
- Period 5
Industry Work Experience (3 Months), 2 Electives
Continuation of work experience and deepening expertise through additional electives focused on AI and product management.
Electives
To further tailor your learning, TheSSML offers the following electives as part of the Executive Strategic AI for Business Leaders Programme. These electives will help you specialize in areas that align with your professional interests and career aspirations.
- Profile Building++
- Decision Sciences
- Entrepreneurship & Family Enterprise
- Responsible AI and Ethical Considerations
- AI-Driven Customer Experience
- Emerging AI Technologies and Trends
- AI in Product Development
- Building AI Products
- Data Monetization and Infonomics
Your Future Career at TheSSML
A future career at TheSSML (The Standard School of Machine Learning) offers exciting opportunities to work at the forefront of AI and machine learning technologies. As part of this innovative institution, you can contribute to shaping the next generation of data scientists, AI professionals, and tech leaders. Roles at TheSSML include teaching, curriculum development, research, and working on cutting-edge AI applications. The institution emphasizes professional growth, fostering an environment where employees and students alike can thrive in learning, collaboration, and the practical application of AI in various industries. TheSSML offers a vibrant and dynamic work culture that supports innovation and continuous learning, making it an excellent place to build a career in the rapidly evolving field of machine learning and artificial intelligence.
Secure Your Job at Ambaincip School of Business After Completing PG Certification in Generative AI for Product Innovation and Management at TheSSML
Securing a job or internship at Ambaincip School of Business comes with a comprehensive agreement that guarantees support in both areas. This agreement ensures that students who successfully complete the program will receive assistance in securing either an internship or a full-time job placement with top companies. The school partners with industry leaders, offering students access to valuable real-world opportunities that align with their career aspirations. By committing to this agreement, students are assured a direct pathway from academic completion to professional success, with guaranteed internship placements during the program and job opportunities upon graduation, enhancing their prospects for a successful career.
Secure Your Job at Ambaincip School of Business
TheSSML: Your Gateway to Innovation
At TheSSML, we cultivate a culture of curiosity, creativity, and collaboration, empowering individuals to solve complex real-world problems and contribute meaningfully to the advancement of technology. Whether you are a student, professional, or researcher, TheSSML is your gateway to mastering the skills and insights needed to lead in the rapidly evolving world of artificial intelligence and machine learning.
Fees & Admissions
Entry Requirements
Company Experience
- A minimum of 2 years of experience at a company is required, particularly in roles where you have gained exposure to AI or technology-driven projects.
- Experience in driving strategic business initiatives, AI implementations, or related fields is highly valuable.
Academic Qualifications
- A strong honours degree or its equivalent from a recognised institution.
- A compelling personal statement that showcases
- A pronounced interest in business.
- The ambition to explore beyond the confines of their initial degree discipline.
- An aptitude for working within a multidisciplinary environment
Tuition Fees
National Applicants: Rs 75,000/ -
International Applicants: $878.45
We offer a range of savings and funding options. For a full breakdown of all our fees, visit our fees and funding page below.
Our Application Process at TheSSML
At TheSSML, we have simplified the application process to ensure a smooth and efficient entry into our academic community. Our clear, step-by-step application process is designed to help you prepare and submit your application with ease.
For those who might not meet the aforementioned academic criteria for the Executive Programme, consideration will be based on individual merit. Additionally, candidates who do not meet the set academic or language standards may still be eligible for entry upon successful completion of TheSSML Executive Premasters Award.
How to ApplyTop-Tier Education at TheSSML
Double Your Reach
Gain exclusive access to TheSSML's extensive alumni network, alongside global connections, enhancing your professional prospects and career opportunities.
Accredited and Recognized
TheSSML is dedicated to providing high-quality education with internationally recognized certifications, ensuring that you gain a competitive edge in the global job market.
Post-Study Career Opportunities
International students at TheSSML may benefit from career development programs and assistance in securing job placements or internships, offering valuable industry experience after graduation.
Global Partnerships
TheSSML collaborates with leading industry players, including tech giants and global corporations, to provide students with access to cutting-edge technologies, real-world learning experiences, and exciting career prospects.
Learn From the Very Best at TheSSML
At TheSSML, you will be taught by distinguished faculty members who are leaders in their fields. Our professors bring a wealth of experience from renowned global institutions and top-tier companies such as Amazon, the United Nations, IBM, Deloitte, Accenture, and Microsoft. Their extensive industry knowledge and academic expertise will provide you with the insights and practical skills needed to thrive in the dynamic world of machine learning and AI.
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TheSSML Partners with AICTSD And MACUL
At The Standard School of Machine Learning (TheSSML), our programmes are enhanced through prestigious accreditations and partnerships with leading organizations such as MACUL (Michigan Association for Computer Users in Learning) and AICTSD (All India Council for Technical Skill Development). These collaborations ensure our courses meet global industry standards and incorporate cutting-edge advancements in artificial intelligence and machine learning. The partnership with MACUL brings a rigorous framework for curriculum quality and academic excellence, while AICTSD fosters skill development and practical exposure through workshops, certifications, and real-world projects. By aligning with these esteemed bodies, TheSSML guarantees that students receive industry-recognized training, preparing them for leadership roles in a rapidly evolving AI landscape.
TheSSML Alumni Survey
At TheSSML, we are dedicated to equipping our students with the knowledge and skills needed to launch successful careers in the AI and machine learning industries. Our alumni are well-prepared to make a meaningful impact in the professional world, with many securing positions at leading global companies.
Alumni Survey (2022)
91%
of ourgraduates secured employment within six months of graduation
84%
of students received job offers before completing their programme
72%
of our alumni hold managerial or senior positions in prominent organisations
79%
of our graduates earn a competitive salary ranging from ₹8 lakhs to ₹12 lakhs per annum