UG Certification in Generative AI Engineering
This programme is offered by TheSSML in collaboration with the Continuing Technology and Interprofessional Education (CTIPE).
About the Programme
The UG Certification in Generative AI Engineering is a 24 Months program designed to equip undergraduate students with in-depth knowledge and hands-on experience in the field of generative AI.
The program covers the core concepts of artificial intelligence and machine learning, focusing on cutting-edge techniques used in the creation of generative models. Students will explore various generative models, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer models, and learn how to apply them in real-world scenarios such as image generation, text synthesis, and data augmentation.
The curriculum includes a blend of theoretical learning and practical application through hands-on projects, lab sessions, and a capstone assignment. Additionally, the program offers industry exposure through an integrated internship, along with dedicated placement support to help students secure positions in the rapidly growing AI sector.
With a limited batch size of 45, personalized mentorship ensures focused learning, making it an ideal program for students aspiring to become experts in generative AI.
Key Skills Developed
Who is the programme for?
The UG Certification in Generative AI Engineering is ideal for undergraduate students, recent graduates, and early-career professionals who are passionate about artificial intelligence and eager to specialize in the emerging field of generative AI. This program is perfect for those with a strong interest in machine learning, deep learning, and AI technologies, and who wish to develop the skills to create advanced generative models. It is well-suited for students pursuing careers in AI research, data science, machine learning engineering, and related fields. No prior experience in generative AI is required, but a basic understanding of programming and mathematics will be beneficial. Whether you're looking to innovate in areas such as image and text generation or apply AI to real-world challenges, this program provides the foundational knowledge and practical skills necessary to excel in the generative AI domain.
How will you study?
The UG Certification in Generative AI Engineering utilizes a blended learning approach that combines theoretical knowledge with practical experience to ensure a comprehensive understanding of generative AI. You will study through a mix of:
- Live Online Classes: Interactive sessions led by industry experts, providing opportunities for real-time learning and Q&A.
- Pre-recorded Video Lectures: Self-paced learning modules allowing flexibility to study according to your schedule.
- Hands-on Projects: Practical assignments and coding exercises to reinforce learning through real-world applications.
- Lab Sessions: Guided practical sessions focused on implementing and experimenting with generative models like GANs, VAEs, and transformers.
- Capstone Project: A final project where you'll apply your knowledge to solve complex problems in generative AI, showcasing your expertise.
- Industry Internship: Real-world experience through an integrated internship, offering exposure to industry practices and tools.
- Personalized Mentorship: With a limited batch size, you will receive one-on-one mentoring to address specific queries, guide your learning, and provide career advice.
This approach ensures you gain both the theoretical foundations and the practical experience necessary to succeed in the fast-growing field of generative AI.
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 Generative AI Engineering is a 24 Months, comprehensive program designed to equip undergraduate students with the skills and knowledge required to specialize in the rapidly advancing field of generative AI. The program focuses on core AI concepts, machine learning, and deep learning, with an emphasis on generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer architectures.
The curriculum includes foundational lessons on AI theory, followed by practical applications in areas such as image generation, text synthesis, data augmentation, and more. Students will engage in hands-on projects, coding assignments, and a capstone project to apply what they’ve learned in real-world scenarios.
The program also includes an integrated internship that provides valuable industry experience and allows students to work on actual generative AI applications in a professional setting. With dedicated placement support, including resume building, mock interviews, and career counseling, the program ensures that graduates are well-prepared to enter the AI industry.
With a limited batch size of 45 participants, the program guarantees personalized mentorship and focused attention, helping students develop a strong foundation
Programme Structure and Electives
The UG Certification in Generative AI Engineering is a structured, career-focused program designed to equip undergraduate students with the essential skills to leverage generative AI technologies and drive innovation in engineering applications. The first six months focus on providing a strong foundation in key areas such as AI model development, machine learning techniques, and integrating AI into engineering workflows. Students will also explore advanced topics like predictive analytics, automation, and the ethical considerations of AI in engineering solutions. The program emphasizes practical application, allowing students to work on hands-on projects, industry-specific case studies, and problem-solving exercises. In the second phase, students will engage in advanced projects, gaining real-world experience in developing and deploying AI-powered systems. Collaborative work is also a key component, helping students refine their technical, analytical, and problem-solving skills in an engineering context. Upon successful completion, students will receive the Generative AI Engineering Certification, positioning them for career opportunities as AI Engineers, Machine Learning Specialists, or AI Systems Architects in the growing field of AI-driven engineering.
Core Periods Modules
The UG Certification in Generative AI Engineering is a structured, career-focused program designed to equip undergraduate students with the essential skills to leverage generative AI technologies and drive innovation in engineering applications. The first six months focus on providing a strong foundation in key areas such as AI model development, machine learning techniques, and integrating AI into engineering workflows. Students will also explore advanced topics like predictive analytics, automation, and the ethical considerations of AI in engineering solutions. The program emphasizes practical application, allowing students to work on hands-on projects, industry-specific case studies, and problem-solving exercises. In the second phase, students will engage in advanced projects, gaining real-world experience in developing and deploying AI-powered systems. Collaborative work is also a key component, helping students refine their technical, analytical, and problem-solving skills in an engineering context. Upon successful completion, students will receive the Generative AI Engineering Certification, positioning them for career opportunities as AI Engineers, Machine Learning Specialists, or AI Systems Architects in the growing field of AI-driven engineering.
- Period 0
Introduction to Artificial Intelligence (AI)
The Introduction to Artificial Intelligence (AI) module provides a foundational understanding of AI concepts, technologies, and applications. Participants will explore the history of AI, its key components, and the evolution of machine learning, deep learning, and natural language processing. The module covers essential algorithms, techniques, and frameworks used in AI development.
- Period 1
Building Generative AI-Powered Applications with Python
The Building Generative AI-Powered Applications with Python module focuses on using Python to develop AI-driven applications. Learners will explore key libraries like TensorFlow, Keras, and PyTorch to build generative models.
- Period 2
Generative AI and LLMs: Architecture and Data Preparation
The Generative AI and LLMs: Architecture and Data Preparation module explores the architecture of large language models (LLMs) and their application in generative AI. Learners will study the underlying principles of LLMs, including transformer models and attention mechanisms.
- Period 3
Fundamentals of AI Agents Using RAG and LangChain
The Fundamentals of AI Agents Using RAG and LangChain module introduces learners to the basics of AI agents and how they can be built using Retrieval-Augmented Generation (RAG) and LangChain.
- Period 4
Generative AI Language Modeling with Transformers
The Generative AI Language Modeling with Transformers module focuses on the fundamentals of language modeling using transformer architectures. Learners will explore the workings of transformers, including self-attention mechanisms, positional encoding, and their application in natural language processing tasks.
- Period 5
Industry Work Experience (3 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 of AI’s role in strategy and leadership, preparing them for high-level decision-making roles.
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 Generative AI Engineering at TheSSML
Upon successful completion of the Professional Programme at TheSSML, you will gain exclusive access to rewarding career opportunities at Ambaincip School of Business. This collaboration provides professionals with a unique opportunity to apply AI-driven business strategies and leadership skills within a fast-paced, growth-oriented business environment.
Ambaincip School of Business is dedicated to empowering graduates by placing them in influential leadership roles where they can lead AI-driven transformations, shape business strategies, and drive innovation within organizations. With the advanced expertise gained through the program, you will be well-prepared to assume senior roles, manage AI-driven projects, and contribute significantly to the success and growth of leading businesses.
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