Advanced Diploma Certifications Programme in Generative AI for Industry Applications
This programme is offered by TheSSML in collaboration with the Centre for AI & Data Intelligence Studies (CAIDIS)
About the Programme
The Advanced Diploma in Generative AI for Industry Applications is a 12-month career-focused programme designed to equip learners with the knowledge, skills, and practical experience needed to thrive in AI-driven industries. The programme is structured into two phases: a 6-month intensive learning period followed by a 6-month hands-on industry internship, with dedicated placement assistance upon completion. During the learning phase, participants will explore core concepts of Generative AI, large language models (LLMs), prompt engineering, AI product development, and responsible AI practices, while engaging in real-world case studies across sectors like healthcare, finance, marketing, and manufacturing. The curriculum includes hands-on training with tools such as OpenAI, Hugging Face, and LangChain, along with a capstone project to apply learning to solve a practical business problem. In the second phase, learners undertake internships with partner companies, working on live AI projects under expert guidance. The programme concludes with dedicated support for job placement, including resume building, interview preparation, and networking with hiring partners, ensuring graduates are fully prepared for high-impact roles in the AI ecosystem.
Key Skills Developed
Who is the programme for?
The Advanced Diploma in Generative AI for Industry Applications is ideal for working professionals, software developers, data scientists, product managers, and aspiring entrepreneurs who are eager to harness the power of Generative AI to drive innovation and solve real-world problems. Whether you're looking to transition into an AI-centric role, enhance your current technical skill set, or lead AI-driven product development, this programme offers the practical knowledge and industry exposure needed to thrive. It is especially suited for those aiming to build or scale AI-powered solutions across domains such as healthcare, finance, marketing, legal tech, and beyond.
How will you study?
You will study through a blended, hands-on learning approach that combines live interactive sessions, self-paced video modules, real-world projects, and guided mentorship. The first 6 months of the programme include weekly live classes led by industry experts, complemented by on-demand content, coding labs, case studies, and collaborative peer discussions. You’ll work on assignments and capstone projects designed to solve practical business problems using Generative AI tools like OpenAI, Hugging Face, LangChain, and others. The next 6 months consist of a full-time or part-time industry internship, where you will apply your skills in real organizational settings under the guidance of experienced professionals. Throughout the programme, you'll have access to expert mentors, career coaches, and a dedicated support team to ensure a seamless and impactful learning experience.
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
Vadodara (Sanway Business Square Building)
Duration
12 Months
Intakes
40
Tuition Fees
Rs 60,000/-
The Advanced Diploma in Generative AI for Industry Applications is a 12-month, career-focused programme designed to equip learners with both theoretical knowledge and hands-on expertise in Generative AI. The programme is divided into two phases: the first 6 months focus on intensive learning through live sessions, self-paced modules, case studies, and a capstone project, covering key areas such as Large Language Models (LLMs), prompt engineering, AI product development, and ethical AI practices. The next 6 months provide a structured industry internship where learners work on real-world AI projects, gaining practical exposure and building a professional portfolio. With expert mentorship, access to leading AI tools, and dedicated placement assistance, this programme prepares participants for high-impact roles across diverse industries such as technology, finance, healthcare, marketing, and more.
Programme Structure and Electives
The programme structure of the Advanced Diploma in Generative AI for Industry Applications is thoughtfully divided into two comprehensive phases: 6 months of academic learning followed by 6 months of industry internship. The learning phase includes live expert-led sessions, self-paced video lectures, hands-on coding labs, and real-world case studies, covering core topics such as Generative AI foundations, Large Language Models (LLMs), prompt engineering, AI product strategy, and ethical AI deployment. This phase culminates in a capstone project where participants solve an industry-grade problem using advanced AI techniques. The second phase transitions students into an immersive internship with a partnered company or AI-focused startup, where they apply their skills to real business challenges under professional mentorship. The structure ensures a strong balance between conceptual mastery and practical application, supported throughout by continuous mentorship, peer collaboration, and career services.
Core Periods Modules
The programme structure of the Advanced Diploma in Generative AI for Industry Applications is thoughtfully divided into two comprehensive phases: 6 months of academic learning followed by 6 months of industry internship. The learning phase includes live expert-led sessions, self-paced video lectures, hands-on coding labs, and real-world case studies, covering core topics such as Generative AI foundations, Large Language Models (LLMs), prompt engineering, AI product strategy, and ethical AI deployment. This phase culminates in a capstone project where participants solve an industry-grade problem using advanced AI techniques. The second phase transitions students into an immersive internship with a partnered company or AI-focused startup, where they apply their skills to real business challenges under professional mentorship. The structure ensures a strong balance between conceptual mastery and practical application, supported throughout by continuous mentorship, peer collaboration, and career services.
- Period 0
Foundations of Generative AI
Covers the evolution of AI, basics of neural networks, and introduction to transformer architecture and LLMs. Learners explore how generative models like GPT and diffusion models work across various data types.
- Period 1
Prompt Engineering & LLM Fine-Tuning
Focuses on prompt design strategies, prompt chaining, zero-shot/few-shot learning, and model fine-tuning techniques. Participants learn to control model behavior and generate context-aware outputs for different applications.
- Period 2
AI Product Strategy & Design Thinking
Explores AI product lifecycle, business model integration, and user-centered design frameworks. Learners develop skills to align AI capabilities with real-world user needs and industry demands.
- Period 3
Tools, Frameworks & Deployment
Hands-on experience with tools like OpenAI API, Hugging Face, LangChain, and model deployment on cloud platforms. This module emphasizes building scalable and deployable AI solutions.
- Period 4
Responsible & Ethical AI
Covers fairness, transparency, bias mitigation, data privacy, and AI governance frameworks. Learners understand the importance of ethical considerations in the development and deployment of AI solutions.
- Period 5
Industry Use Cases & Capstone Project
Applies learning to real-world scenarios in finance, healthcare, marketing, and media. The module concludes with a capstone project where learners solve a complex industry challenge using Generative AI.
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
To enhance your learning journey, the Advanced Diploma in Generative AI for Industry Applications offered by The Standard School of Machine Learning (TheSSML) includes a curated set of elective modules, enabling you to specialize in industry-specific domains aligned with your professional goals and aspirations. Whether you're looking to deepen your expertise in healthcare, finance, media, or enterprise automation, these electives are designed to give you a competitive edge in high-demand AI roles.
TheSSML is dedicated to advancing your career, with a remarkable 90% placement rate within six months of graduation and 84% of learners receiving job offers even before programme completion. Graduates of this diploma are exceptionally prepared for roles such as Generative AI Engineer, Prompt Engineer, Applied Machine Learning Specialist, AI Product Developer, and AI-Focused Data Scientist. Through its Career Advancement Centre, TheSSML provides comprehensive support, including resume development, mock interviews, and personalized job placement assistance.
What distinguishes this programme is its strong network of global industry partnerships with leaders like Google, Microsoft, Amazon, Tesla, IBM, and financial giants like J.P. Morgan and Goldman Sachs. These alliances grant learners access to exclusive internships, live capstone projects, and direct hiring pathways. Additionally, TheSSML’s collaboration with the Ambaincip School of Business allows participants to solve real-world business challenges using AI—bridging the gap between advanced technical knowledge and strategic industry impact.
Secure Your Job at Ambaincip School of Business After Completing Advanced Diploma Certifications Programme in Generative AI for Industry Applications at TheSSML
Enrolling in the Advanced Diploma in Generative AI for Industry Applications at The Standard School of Machine Learning (TheSSML) opens the door to a future-ready and innovation-driven career path in artificial intelligence. Designed for aspiring AI engineers, product innovators, and tech-savvy professionals, this programme delivers a comprehensive curriculum focused on real-world applications, state-of-the-art generative models, and industry-aligned best practices. To personalize your learning journey, TheSSML offers a range of specialized elective modules in high-demand domains such as large language models (LLMs), multimodal AI, cloud-based deployment, prompt engineering, and ethical AI development.
TheSSML ensures a strong return on your educational investment, with a proven 90% placement rate within six months of graduation, and 84% of students receiving job offers before completing the programme. Graduates are equipped to excel in high-impact roles such as Generative AI Engineer, Prompt Engineer, AI Product Developer, Applied AI Analyst, and Machine Learning Consultant. Support from the Career Advancement Centre includes one-on-one mentorship, expert-led resume design, portfolio enhancement, interview preparation, and customized job search strategies tailored to AI roles.
With powerful industry partnerships spanning global leaders like Google, Microsoft, Amazon, IBM, and Tesla, as well as top financial institutions including Goldman Sachs and J.P. Morgan, learners gain privileged access to internships, real-world projects, and direct hiring pipelines. Moreover, TheSSML’s strategic collaboration with institutions like the Ambaincip School of Business ensures that graduates are not only technically proficient, but also capable of applying Generative AI within complex, high-stakes business environments—bridging the gap between AI innovation and strategic enterprise impact.
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 60,000/-
International Applicants: $720 USD
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.
Enquire Now
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