Advanced Diploma Certification Programme in Applied Generative AI for Digital Transformation
This programme is offered by TheSSML in collaboration with the Institute for AI and ML Education for Schools (IAMLES).
About the Programme
The Advanced Diploma Certification Programme in Applied Generative AI for Digital Transformation is a cutting-edge, 1-year course designed to equip professionals with the skills to leverage generative AI technologies for driving innovation and transformation in their organizations. This program focuses on the practical application of AI in creating automated solutions for content generation, process optimization, and customer experience enhancement.
Participants will explore key generative AI concepts such as text and image generation, deep learning models, and AI-driven creative processes, with a focus on real-world use cases across industries like marketing, healthcare, finance, and retail. The program blends theory with hands-on projects, providing learners the opportunity to implement AI models and deploy AI-driven solutions for digital transformation. By the end of the program, learners will be capable of applying generative AI to solve complex business problems, streamline workflows, and lead innovation-driven projects in their organizations.
Key Skills Developed
Who is the programme for?
The Advanced Diploma Certification Programme in Applied Generative AI for Digital Transformation is ideal for professionals, business leaders, and entrepreneurs who are keen to integrate cutting-edge AI technologies into their organizations. This program is tailored for individuals from various fields, including marketing, finance, operations, product management, and digital transformation, who wish to leverage generative AI to drive innovation, streamline processes, and enhance customer experiences. It is also perfect for technology professionals seeking to expand their expertise in AI-driven content generation and automation. Whether you're looking to lead digital transformation projects or create AI-powered solutions, this program equips you with the skills to apply generative AI in real-world business contexts.
How will you study?
The Advanced Diploma Certification Programme in Applied Generative AI for Digital Transformation follows a practical, hands-on learning approach to ensure you gain real-world skills. You will study through a combination of live interactive sessions, self-paced online modules, and project-based learning. The curriculum includes expert-led tutorials, industry case studies, and practical assignments that will guide you through the application of generative AI tools in business contexts.
In addition to theoretical learning, you’ll work on real-time projects, using generative AI platforms to solve business problems and create innovative solutions. Peer interactions, feedback from industry mentors, and collaborative group work will further enhance your learning experience. To ensure practical application, the program includes an internship or guided project phase, where you’ll work directly with industry partners to implement AI-driven strategies for digital transformation.
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
Distance Mode
Duration
1 Year
Intakes
40
Tuition Fees
Rs 25000/-
The Advanced Diploma Certification Programme in Applied Generative AI for Digital Transformation is a cutting-edge 1-year program designed to equip professionals with the skills necessary to lead digital transformation initiatives using generative AI. This program blends theoretical knowledge with practical application, enabling learners to build, deploy, and manage AI-driven solutions that drive business innovation, enhance operational efficiency, and improve customer experience.
Participants will explore the core principles of generative AI, including text and image generation, deep learning models, and AI-powered creative processes. Through hands-on training, case studies, and real-time projects, learners will gain proficiency in using AI tools like GPT, DALL-E, and other generative models to solve real-world business challenges. The curriculum is designed to offer expertise in automating workflows, creating AI-generated content, and applying AI in areas such as marketing, finance, product development, and customer service.
The program is ideal for business leaders, entrepreneurs, and professionals across industries who want to leverage the power of AI to accelerate digital transformation and drive innovation within their organizations. By the end of the program, learners will have the confidence and expertise to integrate generative AI into their business operations and lead AI-driven initiatives in their respective industries.
Programme Structure and Electives
The Advanced Diploma Certification Programme in Applied Generative AI for Digital Transformation is structured into two distinct phases over a 1-year period. The first 6 months focus on building a strong foundation in generative AI, where participants explore core concepts such as deep learning, natural language processing (NLP), and AI-powered content generation. Through live sessions, hands-on projects, and case studies, learners gain practical skills in using AI tools for automating workflows and creating innovative solutions for business challenges. The second 6-month phase provides an opportunity for participants to apply their knowledge in real-world settings through an internship or guided industry project. During this phase, learners work on live projects, collaborate with industry professionals, and gain practical experience deploying AI solutions to drive digital transformation. By the end of the program, participants will be well-equipped to lead AI-driven initiatives and integrate generative AI into business operations, positioning them for success in the rapidly evolving digital landscape.
Core Periods Modules
The Advanced Diploma Certification Programme in Applied Generative AI for Digital Transformation is structured into two distinct phases over a 1-year period. The first 6 months focus on building a strong foundation in generative AI, where participants explore core concepts such as deep learning, natural language processing (NLP), and AI-powered content generation. Through live sessions, hands-on projects, and case studies, learners gain practical skills in using AI tools for automating workflows and creating innovative solutions for business challenges. The second 6-month phase provides an opportunity for participants to apply their knowledge in real-world settings through an internship or guided industry project. During this phase, learners work on live projects, collaborate with industry professionals, and gain practical experience deploying AI solutions to drive digital transformation. By the end of the program, participants will be well-equipped to lead AI-driven initiatives and integrate generative AI into business operations, positioning them for success in the rapidly evolving digital landscape.
- Period 0
Introduction to Generative AI and Digital Transformation
Overview of Artificial Intelligence and Machine Learning – What is Generative AI? Understanding Key Concepts – The Role of Generative AI in Digital Transformation – Types of Generative AI Models (GANs, VAEs, etc.) - Use Cases of Generative AI Across Industries – Ethical Considerations and Challenges in AI Deployment
- Period 1
Deep Learning and Neural Networks for AI
- Introduction to Neural Networks and Deep Learning Models – How Deep Learning Models Power Generative AI – Training Deep Neural Networks (DNN) for AI Applications – Convolutional Neural Networks (CNNs) and Their Applications – Recurrent Neural Networks (RNNs) for Sequential Data – Advanced Deep Learning Techniques in Generative AI
- Period 2
Natural Language Processing (NLP) and AI for Content Generation
– Basics of NLP: Text Preprocessing and Tokenization – Text Generation Using Generative Pre-trained Transformers (GPT) – Language Models for Sentiment Analysis and Text Summarization – Implementing Chatbots and Virtual Assistants with NLP – Automating Content Creation Using AI-Driven Tools – Case Studies of NLP in Business and Marketing
- Period 3
Image and Visual Content Generation
Introduction to Generative Adversarial Networks (GANs) – Image Synthesis and Manipulation with GANs – AI for Video and Animation Content Creation – Image Style Transfer and Enhancement using AI – Implementing AI in Graphic Design and Product Visualizations – Ethical Considerations in AI-Generated Visual Content
- Period 4
Deploying and Scaling AI Solutions for Digital Transformation
– AI Model Deployment: From Development to Production – Integrating Generative AI Models into Business Workflows – AI Infrastructure and Cloud-Based Solutions for Scaling – Monitoring and Managing AI Models Post-Deployment – Leveraging AI for Real-Time Decision-Making and Automation – Future Trends in AI Deployment and Continuous Learning
- 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 of AI’s role in strategy and leadership, preparing them for high-level decision-making roles.
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
Your Future Career at TheSSML
Graduating from the Advanced Diploma Certification Programme in Applied Generative AI for Digital Transformation at TheSSML opens up a wide range of exciting career opportunities in the fast-growing field of AI and digital transformation. With a strong foundation in generative AI, deep learning, and practical business applications, graduates are well-positioned to pursue roles such as AI Solution Architect, Machine Learning Engineer, Data Scientist, Digital Transformation Consultant, AI Product Manager, and Business Intelligence Analyst.
At TheSSML, we are committed to providing continuous career support, including industry networking opportunities, mentorship from AI experts, and access to exclusive job placement initiatives. Whether you're looking to join top tech companies, lead AI-driven innovation within established organizations, or launch your own AI-powered startup, TheSSML prepares you to make a lasting impact in the digital era. Additionally, our strong ties with industry leaders ensure that our graduates are always in demand for roles that drive forward-thinking solutions across diverse industries.
Secure Your Job at Ambaincip School of Business After Completing Advanced Diploma Certification Programme in Applied Generative AI for Digital Transformation 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
To be eligible for admission, candidates must meet the following criteria:
- Educational Qualification:
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related fields. Final-year students may also apply. - Technical Skills:
Basic understanding of programming (preferably Python) and mathematics (linear algebra, probability). - Professional Background (for working professionals):
Experience in software development, data analysis, or related areas is preferred but not mandatory. - Passion for AI/ML:
A strong interest in AI, problem-solving mindset, and willingness to learn and apply new technologies.
Tuition Fees
National Applicants: Rs 25000/-
International Applicants: $ 292.86
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