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
This intensive 1-year (12-month) program, available in both online and offline modalities, is meticulously designed for strategic leaders poised to revolutionize product development with Generative AI. Offered by TheSSML in collaboration with the Continuing Technology and Interprofessional Education (CTIPE), this certification embodies the analytical rigor of Stanford and Harvard, fused with the pragmatic, global business foresight characteristic of INSEAD.
The curriculum is structured as a transformative journey, with the first six months dedicated to immersive learning. During this period, you'll gain a profound understanding of foundational Generative AI principles, cutting-edge models, and their application in product strategy, innovation, and management. This intensive learning phase features theoretical frameworks alongside hands-on projects, challenging participants to conceptualize and design groundbreaking AI-powered product solutions. The subsequent six months are focused on guaranteed placement, providing invaluable practical experience within leading organizations. This critical phase allows you to directly apply your knowledge to real-world product innovation and management challenges, gaining immediate industry exposure and building a professional network. Graduates emerge with a robust portfolio and the essential competencies to conceptualize, develop, and deploy impactful Generative AI products that drive significant business value and foster innovation in the rapidly evolving global economy.
Key Skills Developed
Who is the programme for?
The PG Certification in Generative AI for Product Innovation and Management is designed for ambitious individuals who aspire to lead at the forefront of technology and business strategy, specifically leveraging the power of Generative AI.
This program caters to:
- Recent graduates from diverse fields such as Business, Marketing, Economics, Management, or STEM backgrounds (e.g., Computer Science, Engineering, Data Science) who possess strong analytical skills and a keen interest in how Generative AI can fuel product innovation and drive business growth.
- Existing professionals—including product managers, business analysts, data analysts, project managers, and marketing specialists—who are looking to upskill, specialize in Generative AI-driven product development, and lead strategic initiatives.
It's for those who thrive in dynamic environments and are eager to be the essential bridge between advanced Generative AI technologies and impactful business outcomes, driving product success and strategic insights in an AI-first world.
How will you study?
The PG Certification in Generative AI for Product Innovation and Management offers a flexible and comprehensive learning experience, accommodating diverse needs through its online and offline modalities.
Our Online Learning mode provides unparalleled flexibility, allowing you to access all course materials, lectures, and interactive sessions from anywhere with an internet connection. This is ideal if you have existing commitments, offering a blend of self-paced study with synchronous virtual classes and lively discussion forums. You'll engage with cutting-edge digital resources, collaborate on projects with peers globally, and receive timely feedback from instructors through our advanced virtual platforms.
For those who thrive in a more traditional and immersive environment, the Offline Learning modality offers engaging in-person classes, interactive workshops, and hands-on lab sessions at a designated campus or learning center in Vadodara, Gujarat. This mode facilitates direct, face-to-face interaction with instructors and peers, fostering immediate feedback, practical experience with dedicated equipment, and a strong sense of community. It's particularly beneficial for kinesthetic and visual learners who prefer a structured, physical learning environment.
Regardless of your chosen modality, the program's curriculum is equally rigorous, ensuring a consistent and high-quality educational experience across both formats. Our aim is to empower you with the essential knowledge and skills to excel in Generative AI for Product Innovation and Management, all while offering the convenience and engagement that best suits your individual learning style.
Accreditation and Collaboration at TheSSML
The Standard School of Machine Learning (SSML) upholds the highest academic and industry standards, validated by accreditations from prestigious bodies such as the Machine Learning Accreditation Council (MACUL) and the All India Council for Technical Skill Development (AICTSD). These endorsements ensure that SSML’s programs adhere to international benchmarks, delivering academic excellence and industry relevance in the rapidly evolving AI landscape. SSML’s commitment to quality is further strengthened through strategic collaborations with renowned academic institutions, research organizations, and industry leaders. Notably, its partnership with the Ambaincip School of Startups enhances its focus on business innovation and entrepreneurship, empowering students to develop AI-powered solutions for real-world challenges.
This robust network bridges academia, research, and industry, fostering a multidisciplinary learning environment that integrates emerging fields such as finance, blockchain, quantum computing, and business innovation. SSML’s curriculum aligns with global standards, including frameworks related to Artificial General Intelligence (AGI) and MACUL’s guidelines on Machine Learning and Computational Learning, ensuring graduates are equipped with both theoretical mastery and practical expertise. As a result, SSML graduates possess globally recognized credentials and are well-prepared to lead AI-driven transformations across diverse industries, delivering innovative solutions with a strong emphasis on ethical practices and real-world impact.
Location
Online And Offline
Duration
12 Months
Intakes
30
Tuition Fees
Rs 3,45,000
The PG Certification in Generative AI for Product Innovation and Management is an intensive 1-year (12-month) program meticulously designed for strategic leaders poised to revolutionize product development with Generative AI. Offered by TheSSML in collaboration with the Continuing Technology and Interprofessional Education (CTIPE), this certification embodies the analytical rigor of institutions like Stanford and Harvard, fused with the pragmatic, global business foresight characteristic of INSEAD.
The curriculum is structured as a transformative journey: the first six months are dedicated to immersive learning, where you'll gain a profound understanding of foundational Generative AI principles, cutting-edge models, and their application in product strategy, innovation, and management. This intensive phase features theoretical frameworks alongside hands-on projects, challenging participants to conceptualize and design groundbreaking AI-powered product solutions. The subsequent six months are focused on guaranteed placement, providing invaluable practical experience within leading organizations. This critical phase allows you to directly apply your knowledge to real-world product innovation and management challenges, gaining immediate industry exposure and building a professional network. Graduates emerge with a robust portfolio and the essential competencies to conceptualize, develop, and deploy impactful Generative AI products that drive significant business value and foster innovation in the rapidly evolving global economy.
Programme Structure and Electives
The PG Certification in Generative AI for Product Innovation and Management is an intensive 1-year (12-month) journey, strategically divided into two interconnected 6-month phases designed for a holistic and practical learning experience. Phase 1: Immersive Learning (Months 1-6) focuses on building a robust theoretical and foundational understanding of Generative AI's role in product innovation and management. This includes a core curriculum on Generative AI fundamentals, advanced model architectures (like LLMs and Diffusion Models), product strategy for AI, and ethical considerations in AI product development. You'll engage in hands-on projects, designing innovative Generative AI-powered product concepts, and understanding the nuances of prompt engineering to achieve desired product outcomes. Expert-led sessions and workshops will delve into emerging research and real-world case studies in Generative AI product applications. Phase 2: Guaranteed Placement (Months 7-12) transitions you into invaluable practical application within a professional setting. This phase involves a mandatory placement within leading organizations in Vadodara, Gujarat, or other global locations. Under the guidance of industry professionals, you'll directly apply your knowledge to real-world product innovation and management challenges, gaining immediate industry exposure. This could involve contributing to the ideation, development, or launch of Generative AI-driven products, refining existing product strategies with AI, or managing the lifecycle of AI-powered solutions. This critical phase culminates in building a robust professional network and solidifying your expertise, ensuring you are industry-ready to drive innovation from day one.
Core Periods Modules
The PG Certification in Generative AI for Product Innovation and Management is an intensive 1-year (12-month) journey, strategically divided into two interconnected 6-month phases designed for a holistic and practical learning experience. Phase 1: Immersive Learning (Months 1-6) focuses on building a robust theoretical and foundational understanding of Generative AI's role in product innovation and management. This includes a core curriculum on Generative AI fundamentals, advanced model architectures (like LLMs and Diffusion Models), product strategy for AI, and ethical considerations in AI product development. You'll engage in hands-on projects, designing innovative Generative AI-powered product concepts, and understanding the nuances of prompt engineering to achieve desired product outcomes. Expert-led sessions and workshops will delve into emerging research and real-world case studies in Generative AI product applications. Phase 2: Guaranteed Placement (Months 7-12) transitions you into invaluable practical application within a professional setting. This phase involves a mandatory placement within leading organizations in Vadodara, Gujarat, or other global locations. Under the guidance of industry professionals, you'll directly apply your knowledge to real-world product innovation and management challenges, gaining immediate industry exposure. This could involve contributing to the ideation, development, or launch of Generative AI-driven products, refining existing product strategies with AI, or managing the lifecycle of AI-powered solutions. This critical phase culminates in building a robust professional network and solidifying your expertise, ensuring you are industry-ready to drive innovation from day one.
- Period 0
Generative AI Fundamentals & Product Thinking
Module 1.1: Introduction to Generative AI Module 1.2: AI Product Strategy Basics Module 1.3: Data for Generative AI Products Module 1.4: Foundational LLMs & Transformers Module 1.5: Ethical AI in Product Development Module 1.6: Introduction to Prompt Engineering
- Period 1
Core Generative Models & Prototyping
Module 2.1: Variational Autoencoders (VAEs) for Product Module 2.2: Generative Adversarial Networks (GANs) for Product Module 2.3: Product Prototyping with Generative AI Module 2.4: Evaluation Metrics for Generative Products Module 2.5: AI Product Legal & IP Considerations Module 2.6: User Feedback Integration for AI Products
- Period 2
Advanced Generative AI & Product Design
Module 3.1: Diffusion Models for Creative Products Module 3.2: Advanced LLMs & Fine-tuning for Specific Products Module 3.3: Multimodal Generative AI in Products Module 3.4: AI-Powered Content Personalization Module 3.5: AI Product Roadmapping & Prioritization Module 3.6: Design Thinking for AI Products
- Period 3
AI Product Management & Go-to-Market
Module 4.1: AI Product Management Lifecycle Module 4.2: Go-to-Market Strategies for AI Products Module 4.3: MLOps for Generative AI Products Module 4.4: AI Product Metrics & KPIs Module 4.5: Building & Leading AI Product Teams Module 4.6: Vendor Selection & Partnership Management
- Period 4
Innovation, Scaling & Ethical Governance
Module 5.1: Generative AI for Business Model Innovation Module 5.2: Scaling Generative AI Products Module 5.3: Reinforcement Learning from Human Feedback (RLHF) Module 5.4: Responsible AI Product Governance Module 5.5: Future Trends in Generative AI Module 5.6: Risk Management in Generative AI Products
- Period 5
Capstone Project & Professional Showcase
Module 6.1: Capstone Project Definition & Deep Dive Module 6.2: End-to-End Product Design & Prototyping Module 6.3: Business Case & Financial Modeling Module 6.4: Product Launch & Iteration Plan Module 6.5: Professional Presentation & Storytelling Module 6.6: Portfolio Development & Career Coaching
Electives
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
Your Future Career at TheSSML
The Standard School of Machine Learning (TheSSML) ensures a strong career trajectory for its graduates, evidenced by impressive placement rates: 90% of graduates secure roles within six months, with 84% receiving job offers even before program completion. For those completing programs like the Undergraduate Certification in Generative AI Engineering, TheSSML opens doors to diverse, in-demand roles such as Generative AI Engineer, Prompt Engineer, Machine Learning Engineer, AI/ML Research Scientist, and Data Scientist (with an AI focus). The institution's dedicated Career Advancement Centre offers comprehensive support, including resume building, interview preparation, and personalized job search assistance. Crucially, strategic partnerships with leading tech giants like Google, Microsoft, Amazon, Tesla, and IBM, alongside financial powerhouses such as J.P. Morgan and Goldman Sachs, provide exclusive access to internships and direct recruitment, while collaboration with Ambaincip School of Business further equips graduates to apply AI solutions to real-world business challenges.
Secure Your Job at Ambaincip School of Business After Completing PG Certification in Generative AI for Product Innovation and Management at TheSSML
Securing a position at Ambaincip School of Business, particularly after completing TheSSML's PG Certification in Generative AI for Product Innovation and Management, presents a highly promising career path due to their close collaboration. You can leverage this primary advantage through TheSSML's Career Advancement Centre for personalized coaching and job search assistance, which includes exclusive opportunities at Ambaincip School of Startups. To maximize your chances, align your application with Ambaincip's strong focus on business innovation and AI integration. Highlight how your expertise in Generative AI product strategy, innovation, and management can solve real-world business challenges, drive entrepreneurial ventures, and lead strategic initiatives. Emphasize practical projects and demonstrable results from your program, showcase your business acumen, and tailor your narrative to align with Ambaincip's values of innovation, problem-solving, and a multidisciplinary approach.
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 1 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.
- Theambition to explore beyond the confines of their initial degree discipline.
- Anaptitude for working within a multidisciplinary environment
Tuition Fees
National Applicants: Rs 3,45,000
International Applicants: $ 4035.77
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