Undergraduate Certification in AI Product Management & Business Intelligence
This programme is offered by TheSSML in collaboration with the Continuing Technology and Interprofessional Education (CTIPE).
About the Programme
The Undergraduate Certification in AI Product Management & Business Intelligence is a meticulously designed 18-month program offered by TheSSML in collaboration with the Continuing Technology and Interprofessional Education (CTIPE). This program is structured to cultivate strategic leaders who can effectively bridge the gap between artificial intelligence, product development, and data-driven business strategy.
Inspired by the rigorous academic standards of institutions like Stanford and Harvard, and the practical, global business acumen of INSEAD, the program provides a transformative learning experience. It combines a robust theoretical foundation with extensive hands-on application.
Key Skills Developed
Who is the programme for?
This program is ideal for ambitious individuals who aspire to lead at the intersection of technology and business strategy within the evolving landscape of Artificial Intelligence. It caters to recent graduates from diverse backgrounds such as Business, Marketing, Economics, Management, or STEM fields (e.g., Computer Science, Engineering, Data Science) who possess strong analytical skills and a keen interest in how AI can drive product innovation and business growth. Additionally, it is highly beneficial for existing professionals, including product managers, business analysts, data analysts, project managers, and marketing specialists, who seek to upskill, specialize in AI-driven product development, and leverage business intelligence for strategic decision-making, ultimately aiming to be the bridge between technical teams and business objectives, driving product success and strategic insights in an AI-first world.
How will you study?
The Undergraduate Certification in AI Product Management & Business Intelligence 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 AI Product Management and Business Intelligence, 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, evidenced by endorsements from globally recognized bodies such as the Machine Learning Accreditation Council (MACUL) and the All India Council for Technical Skill Development (AICTSD). These accreditations ensure SSML's programs align with international benchmarks, guaranteeing academic excellence and relevance in the rapidly evolving AI landscape.
Beyond accreditation, SSML fosters strategic collaborations with distinguished academic and research institutions, alongside leading industry organizations. These partnerships enrich SSML's offerings, granting students unparalleled access to cutting-edge AI research, development, and real-world applications.
Ambaincip School of Startups: Renowned for its focus on business innovation and entrepreneurship, Ambaincip contributes to developing AI-powered solutions for real-world business challenges, equipping students to apply AI in practical business contexts.
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 spanning sectors such as finance, blockchain, quantum computing, and business innovation, SSML ensures students receive a well-rounded education integrating both theoretical knowledge and practical applications. These collaborations also guarantee SSML’s curriculum remains aligned with global standards and frameworks, including Artificial General Intelligence (AGI) and MACUL’s Machine Learning and Computational Learning guidelines. This commitment ensures students are equipped with the highest academic rigor while remaining relevant to the dynamic global AI landscape.
Graduate Outcomes:
SSML graduates are equipped with both technical expertise and extensive industry experience, poised 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 across various industries and create transformative impacts.
Location
Online And Offline
Duration
18 Months
Intakes
40
Tuition Fees
Rs 75,000 / -
Programme Overview
The Undergraduate Certification in AI Product Management & Business Intelligence is a comprehensive 18-month program meticulously designed to transform aspiring professionals into strategic leaders at the intersection of artificial intelligence and business. The curriculum offers a balanced blend of rigorous academic theory and hands-on practical application, reflecting the best practices of leading global institutions in both technology and business.
The program's structure is unique and highly effective: the first six months focus on intensive learning, where you'll master core AI concepts relevant to business, foundational business intelligence methodologies, and the principles of AI product strategy. The next six months are dedicated to a mandatory internship, providing invaluable real-world experience in a professional setting. This practical phase allows you to apply your knowledge to real industry challenges, such as defining AI product roadmaps or leveraging data for strategic business insights. The final six months are spent in an industry experience module, where you will contribute to live projects, solidifying your expertise in AI product lifecycle management and advanced business intelligence while building a crucial professional network. This structured approach ensures graduates are not only knowledgeable but also highly skilled and industry-ready, prepared to drive innovation and intelligent growth from day one.
Programme Structure and Electives
The Undergraduate Certification in AI Product Management & Business Intelligence is a comprehensive 18-month journey, strategically divided into three 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 at the intersection of AI, product management, and business intelligence. This includes core curriculum on AI fundamentals, deep dives into business intelligence methodologies, and the principles of AI product strategy. Participants engage in hands-on projects, analyzing data, designing BI dashboards, and conceptualizing AI product ideas, while gaining proficiency with relevant tools and frameworks. Expert-led sessions and workshops cover ethical AI in product design and market opportunity analysis. Phase 2: Intensive Internship (Months 7-12) transitions participants into practical application within an industry setting. This involves industry placements within leading companies, where participants apply learned concepts to real-world challenges in AI product development or data strategy roles under the guidance of industry professionals. Interns collaborate on ongoing projects, directly applying skills in market research, product roadmap definition, data analysis for product insights, and stakeholder communication, while building valuable industry connections. Phase 3: Industry Experience Module (Months 13-18) solidifies expertise and prepares graduates for impactful careers. This phase involves advanced, capstone-level projects simulating real industry scenarios, with a strong focus on defining, launching, and managing AI products, as well as leveraging advanced business intelligence for strategic growth. Optional specialization tracks are available for focused study, alongside professional development workshops on career strategies, AI ethics in practice for product managers, and portfolio building, ensuring graduates are industry-ready leaders.
Core Periods Modules
The Undergraduate Certification in AI Product Management & Business Intelligence is a comprehensive 18-month journey, strategically divided into three 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 at the intersection of AI, product management, and business intelligence. This includes core curriculum on AI fundamentals, deep dives into business intelligence methodologies, and the principles of AI product strategy. Participants engage in hands-on projects, analyzing data, designing BI dashboards, and conceptualizing AI product ideas, while gaining proficiency with relevant tools and frameworks. Expert-led sessions and workshops cover ethical AI in product design and market opportunity analysis. Phase 2: Intensive Internship (Months 7-12) transitions participants into practical application within an industry setting. This involves industry placements within leading companies, where participants apply learned concepts to real-world challenges in AI product development or data strategy roles under the guidance of industry professionals. Interns collaborate on ongoing projects, directly applying skills in market research, product roadmap definition, data analysis for product insights, and stakeholder communication, while building valuable industry connections. Phase 3: Industry Experience Module (Months 13-18) solidifies expertise and prepares graduates for impactful careers. This phase involves advanced, capstone-level projects simulating real industry scenarios, with a strong focus on defining, launching, and managing AI products, as well as leveraging advanced business intelligence for strategic growth. Optional specialization tracks are available for focused study, alongside professional development workshops on career strategies, AI ethics in practice for product managers, and portfolio building, ensuring graduates are industry-ready leaders.
- Period 0
Fundamentals of AI & Data for Business
Module 1.1:Introduction to AI & Machine Learning Concepts: Grasp core AI paradigms and their relevance in a business context. Module 1.2: Essential Data Analysis & Visualization: Learn to use tools for data cleaning, manipulation, and creating impactful business insights. Module 1.3: Statistics & Quantitative Reasoning for Business: Understand key statistical concepts for data-driven decision-making.
- Period 1
Core Business Intelligence & Data Strategy
Module 2.1: Principles of Business Intelligence (BI): Dive into BI tools, dashboard design, and reporting for strategic insights. Module 2.2: Data Warehousing & ETL Fundamentals: Understand data storage, data lakes, and Extract, Transform, Load processes. Module 2.3: Introduction to Data Modeling for Analytics: Learn the basics of designing databases for effective analytical use.
- Period 2
AI Product Strategy & Market Research
Module 3.1: Identifying AI Product Opportunities: Master market analysis and competitive landscaping to find problems AI can solve. Module 3.2: AI Product Ideation & Validation: Develop skills in brainstorming AI solutions, user research, and prototyping. Module 3.3: Defining AI Product Roadmaps: Learn to prioritize features and plan iterative development for AI-powered products.
- Period 3
AI Product Development Lifecycle & Ethics
Module 4.1: Managing AI Product Development: Understand the unique challenges of AI project management and data governance. Module 4.2: User Experience (UX) Design for AI: Focus on designing intuitive interfaces for AI features and managing AI explainability. Module 4.3: Ethical AI & Responsible Product Design: Address bias, fairness, and privacy in AI product development and deployment.
- Period 4
Advanced Business Intelligence & Strategic Insights
Module 5.1: Predictive Analytics for Business: Explore forecasting, regression analysis, and applying simple ML for business predictions. Module 5.2: A/B Testing & Product Experimentation: Design and analyze experiments for new product features and business strategies. Module 5.3: Data Storytelling & Stakeholder Communication: Learn to effectively communicate complex data insights to
- Period 5
AI Product Launch, Growth & Capstone Project
Module 6.1: Go-to-Market Strategy for AI Products: Plan launches, define pricing, and strategize user adoption for AI products. Module 6.2: AI Product Performance & Iteration: Master metrics for AI products, continuous monitoring, post-launch analysis, and driving ongoing improvements. Module 6.3: Capstone Project: AI Product Management & BI Solution: Design an AI-powered product idea, develop a strategic roadmap, outline a comprehensive BI solution for its performance monitoring, and present a compelling business case, culminating in a final project defense.
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 Undergraduate Certification in AI Product Management & Business Intelligence at TheSSML
Securing a position at Ambaincip School of Business, especially after completing TheSSML's Undergraduate Certification in AI Product Management & Business Intelligence, 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 skills in AI product strategy and business intelligence 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 75,000 / -
International Applicants: $ 877.89
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