UG Certification in AI Product Manager
This programme is offered by TheSSML in collaboration with the Continuing Technology and Interprofessional Education (CTIPE).
About the Programme
The UG Certification in AI Product Manager is a comprehensive 24 Months program designed for undergraduate students who aspire to lead and manage AI-driven products. This program blends core concepts of artificial intelligence with product management principles, offering a unique curriculum that covers AI fundamentals, product lifecycle management, user-centered design, data analysis, and ethical considerations in AI deployment.
Students will gain hands-on experience through practical projects, real-world case studies, and collaborative assignments that simulate the process of bringing AI products to market. The program also emphasizes cross-functional collaboration, strategic thinking, and communication—key skills for managing teams and aligning AI solutions with business goals.
With internship opportunities, mentorship from industry experts, and placement support, the program prepares students for dynamic roles in product management within the fast-evolving AI landscape.
Key Skills Developed
Who is the programme for?
The AI Product Manager Professionals program is designed for product managers, business leaders, and innovation specialists eager to integrate Generative AI into product development strategies. It is ideal for individuals with a background in product management who want to leverage AI technologies to enhance product functionalities, improve user experiences, and drive business growth.
This program is also suitable for professionals seeking to explore new career opportunities in AI-driven product management, data strategy, and AI product development. Whether aiming to enhance existing products with AI or create new, AI-powered solutions, the program provides participants with the tools and knowledge to lead AI-driven product initiatives. It prepares professionals to manage the entire product lifecycle, from conceptualization to deployment, ensuring successful AI product innovations in a dynamic, competitive market.
How will you study?
The AI Product Manager Professionals program offers an engaging learning experience that blends theoretical instruction with hands-on practical applications. Participants will learn through a flexible approach, including live interactive sessions, self-paced online modules, and real-world project assignments. This structure allows you to learn at your own pace while engaging in live discussions and tackling real-world product management challenges with expert instructors.
The program emphasizes project-based learning, enabling you to apply AI concepts to real-world product management scenarios. You will work on capstone projects and assignments that help you integrate AI-driven solutions into product development, customer experience, and business strategies. Guided by industry experts, you will gain the skills to manage the entire lifecycle of AI-powered products, ensuring you are equipped to lead successful AI-driven innovations in the competitive tech market.
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 Mode
Duration
24 Months
Intakes
January, April, June & September 2025
Tuition Fees
Rs 45,000/ -
The UG Certification in AI Product Manager is a future-focused, 24 Months undergraduate program designed to develop the next generation of product leaders in the field of artificial intelligence. This program provides a unique blend of technical understanding and strategic thinking, enabling students to manage the complete lifecycle of AI-powered products.
The curriculum covers essential topics such as AI fundamentals, product development frameworks, market research, user experience design, data analytics, and responsible AI practices. Students will learn how to translate business problems into AI solutions, manage cross-functional teams, and launch innovative products that meet real-world needs.
Through interactive sessions, industry-led mentorship, case studies, and hands-on capstone projects, students gain the practical skills and confidence needed to succeed in dynamic product management roles. With internship opportunities and placement support, the program prepares learners to enter the rapidly growing AI industry as capable, innovation-driven product managers.
Programme Structure and Electives
The UG Certification in AI Product Manager is a 24-month, career-oriented program designed specifically for undergraduate students who aspire to lead and manage innovative AI-driven products. The program is structured in two phases, beginning with a strong foundation in key areas such as AI product strategy, market research, user-focused design, data-driven decision-making, and ethical considerations in AI. Students will gain practical exposure by working on hands-on projects and real-world case studies to understand how AI can be effectively integrated into product development processes. In the second phase, the focus shifts to more advanced concepts including the AI product lifecycle, building and managing AI-powered solutions, and strategies to scale AI features for broader impact. Through collaborative assignments and a capstone project, students will apply their knowledge in practical, team-based environments—enhancing their leadership, innovation, and problem-solving skills. Upon successful completion, students will receive the UG Certification in AI Product Manager, preparing them for exciting entry-level roles such as AI Product Manager, Product Analyst, or Innovation Associate in the rapidly evolving tech landscape.
Core Periods Modules
The UG Certification in AI Product Manager is a 24-month, career-oriented program designed specifically for undergraduate students who aspire to lead and manage innovative AI-driven products. The program is structured in two phases, beginning with a strong foundation in key areas such as AI product strategy, market research, user-focused design, data-driven decision-making, and ethical considerations in AI. Students will gain practical exposure by working on hands-on projects and real-world case studies to understand how AI can be effectively integrated into product development processes. In the second phase, the focus shifts to more advanced concepts including the AI product lifecycle, building and managing AI-powered solutions, and strategies to scale AI features for broader impact. Through collaborative assignments and a capstone project, students will apply their knowledge in practical, team-based environments—enhancing their leadership, innovation, and problem-solving skills. Upon successful completion, students will receive the UG Certification in AI Product Manager, preparing them for exciting entry-level roles such as AI Product Manager, Product Analyst, or Innovation Associate in the rapidly evolving tech landscape.
- Period 0
Product Management: Initial Product Strategy and Plan
The Product Management: Initial Product Strategy and Plan module focuses on the foundational steps in developing a successful product strategy. Participants will learn how to define clear product goals, analyze market trends, and assess customer needs. The module covers creating actionable product roadmaps and aligning product vision with business objectives.
- Period 1
Product Management: Developing and Delivering a New Product
The Product Management: Developing and Delivering a New Product module guides learners through the complete process of bringing a product from concept to launch. Participants will learn how to refine product ideas, prioritize features, and manage cross-functional teams.
- Period 2
Generative AI: Foundation Models and Platforms
The Generative AI: Foundation Models and Platforms module provides an in-depth understanding of the core models and platforms used in generative AI applications. Participants will explore various foundation models like GPT, BERT, and DALL·E, understanding their architecture, capabilities, and use cases.
- Period 3
Product Management: Building AI-Powered Products
The Product Management: Building AI-Powered Products module focuses on integrating AI technologies into product development. Learners will explore how to identify opportunities for AI-driven innovation, from product ideation to market analysis.
- Period 4
Generative AI: Product Management: Foundations & Stakeholder Collaboration
The Generative AI: Product Management: Foundations & Stakeholder Collaboration module focuses on the essential principles of product management in the context of generative AI. Participants will learn how to define AI product visions, set clear goals, and align them with business objectives.
- Period 5
Industry Work Experience (6 Months), 2 Electives
The continuation of the work experience allows participants to deepen their expertise and apply their learning in more complex business scenarios. With additional electives, participants refine their understanding.
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
- AI in Product Development
- Building AI Products
Your Future Career at TheSSML
Professionals will be equipped with the strategic and technical expertise required to lead AI initiatives across industries. As AI continues to play an increasingly pivotal role in business transformation, participants will be well-positioned for career opportunities in top technology companies, consulting firms, and multinational corporations that are integrating AI into their core operations.
Furthermore, TheSSML provides comprehensive career support, including personalized coaching, exclusive networking opportunities, and access to premium job openings within its global network. Professionals will also be eligible for opportunities with the Ambaincip School of Business, where they can apply their AI expertise to lead and innovate in high-growth, business-driven environments.
Secure Your Job at Ambaincip School of Business After Completing UG Certification in AI Product Manager at TheSSML
Upon successful completion of the AI Product Manager Professional Programme at TheSSML, you will gain exclusive access to rewarding career opportunities at Ambaincip School of Business. This collaboration offers professionals a unique opportunity to apply AI-driven product management strategies and leadership expertise within a fast-paced, growth-oriented business environment.
Ambaincip School of Business is committed to empowering graduates by placing them in influential product management roles where they can lead AI-driven innovations, shape product strategies, and drive impactful transformations. With the advanced skills and knowledge gained through this program, you will be well-equipped to assume senior product management positions, manage AI-powered product portfolios, and contribute significantly to the success and growth of top-tier organizations.
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 45,000/ -
International Applicants: $ 527.15
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