Summer School on Generative Ai 2025
The Standard School of Machine Learning (TheSSML) is launching its Summer School on Generative AI 2025, a one-month intensive program starting from 17th May 2025. This summer school is designed to equip participants with in-depth knowledge and hands-on experience in the rapidly evolving field of Generative AI. The program will cover foundational concepts, advanced models such as GPT and diffusion models, prompt engineering techniques, and real-world applications across industries. Open to students, researchers, and professionals, this initiative aims to build practical skills and foster innovation in AI through expert-led sessions, collaborative projects, and cutting-edge tools.
About the Programme
The Summer School on Generative AI 2025, organized by The Standard School of Machine Learning (TheSSML), is a specialized one-month academic and practical program designed to provide a deep dive into the world of Generative Artificial Intelligence. Scheduled to begin on 17th May 2025, this immersive experience will explore the foundations and frontiers of generative models, including Large Language Models (LLMs) like GPT, image generation techniques such as diffusion models and GANs, as well as tools like prompt engineering and fine-tuning strategies. The program aims to empower students, researchers, and professionals with the knowledge and skills to design, build, and deploy generative AI applications across domains such as art, code, content creation, healthcare, finance, and education. Through expert-led lectures, live coding sessions, capstone projects, and peer collaboration, participants will gain both theoretical insight and hands-on experience to innovate in this transformative field of AI.
Key Skills Developed
Who is the programme for?
The Summer School on Generative AI 2025 is designed for a diverse group of learners and professionals who are eager to explore and apply the capabilities of Generative AI. This includes:
- Undergraduate & Postgraduate Students
Particularly those from Computer Science, Data Science, Artificial Intelligence, Engineering, or related disciplines. - Early-Career Professionals & Developers
Individuals seeking to upskill in AI, build real-world generative applications, or transition into AI-focused roles. - Researchers & Academicians
Those aiming to deepen their knowledge or advance research in machine learning, natural language processing, computer vision, or creative AI. - Startup Founders & Innovators
Entrepreneurs and builders interested in integrating generative AI into their products or ventures. - AI Enthusiasts & Lifelong Learners
Curious minds passionate about the future of artificial intelligence and its transformative potential.
How will you study?
The Summer School on Generative AI 2025 will be conducted entirely online, ensuring accessibility and flexibility for participants across regions. The learning experience is designed to be weekend-focused, making it ideal for students, professionals, and researchers to participate without disrupting their weekday commitments.
The program will include:
- Live Online Sessions on Weekends
Interactive lectures, demos, and Q&A with faculty and industry experts every Saturday and Sunday. - Self-Paced Learning Materials
Access to recorded lectures, reading resources, and coding notebooks for flexible learning throughout the week. - Hands-On Projects and Assignments
Practical tasks and mini-projects to apply the concepts and tools learned in each module. - Peer Collaboration & Discussion Forums
Engage with a community of like-minded learners, share ideas, and work on collaborative exercises. - Capstone Project
A final project that challenges participants to design and deploy a generative AI solution, mentored by experts.
Accreditation and Collaboration at TheSSML
The Summer School on Generative AI 2025 is an accredited program offered by The Standard School of Machine Learning (TheSSML), a leading institution in AI education and research. Participants who successfully complete the program will receive a Certificate of Completion recognized by TheSSML, validating their skills and knowledge in Generative AI.
The program is developed in collaboration with experts from academia and industry, ensuring that the curriculum is aligned with current technological advancements and practical demands. Through TheSSML’s academic network and industry partnerships, participants will gain exposure to real-world applications, tools, and case studies used by leading AI researchers and practitioners.
This accreditation reflects TheSSML’s commitment to delivering world-class education and preparing participants for advanced research, professional growth, and innovation in the field of Artificial Intelligence.
Location
Distance Mode
Duration
1 Month (Weekend)
Intakes
45
Tuition Fees
1200 (Registration Fee Only)
The Summer School on Generative AI 2025, hosted by The Standard School of Machine Learning (TheSSML), is a comprehensive one-month online learning program designed to introduce and deepen participants' understanding of Generative Artificial Intelligence. Starting from 17th May 2025, the program will run on weekends, allowing flexible participation for students, professionals, and researchers.
This program blends theoretical knowledge with practical application, covering the key concepts, tools, and techniques behind generative models. From foundational topics like neural networks and transformer architectures to cutting-edge tools such as GPT, DALL·E, and diffusion models, the curriculum is tailored to equip learners with skills applicable in academia, industry, and entrepreneurship.
Participants will engage in:
- Live expert-led sessions on weekends
- Hands-on coding workshops
- Assignments and mini-projects
- Peer discussions and mentor guidance
- A final capstone project to showcase their learning
The programme culminates with an official certificate of completion accredited by TheSSML.
Programme Structure and Electives
The Summer School on Generative AI 2025, organized by The Standard School of Machine Learning (TheSSML), is a one-month, weekend-based online program that offers a comprehensive exploration of Generative AI. The program begins on 17th May 2025 and covers key concepts and techniques in the field. The first week introduces participants to neural networks and the fundamentals of generative models. In the second week, focus shifts to large language models (LLMs), exploring text generation, GPT architectures, and prompt engineering. The third week delves into image generation, with hands-on experience using diffusion models, GANs, and multimodal AI tools like DALL·E. The final week covers fine-tuning models, deployment strategies, and ethical considerations in AI, culminating in a capstone project where participants apply their learning to create and deploy a generative AI solution. By the end of the program, participants will receive an accredited Certificate of Completion from TheSSML.
Core Periods Modules
The Summer School on Generative AI 2025, organized by The Standard School of Machine Learning (TheSSML), is a one-month, weekend-based online program that offers a comprehensive exploration of Generative AI. The program begins on 17th May 2025 and covers key concepts and techniques in the field. The first week introduces participants to neural networks and the fundamentals of generative models. In the second week, focus shifts to large language models (LLMs), exploring text generation, GPT architectures, and prompt engineering. The third week delves into image generation, with hands-on experience using diffusion models, GANs, and multimodal AI tools like DALL·E. The final week covers fine-tuning models, deployment strategies, and ethical considerations in AI, culminating in a capstone project where participants apply their learning to create and deploy a generative AI solution. By the end of the program, participants will receive an accredited Certificate of Completion from TheSSML.
- Period 0
Week 1: Introduction to Generative AI and Neural Networks
Overview of Generative AI: Introduction to generative models, their history, and applications. Fundamentals of Neural Networks: Understanding deep learning, architecture, and training neural networks. Introduction to Generative Models: Exploring different types of generative models such as GANs, VAEs, and Transformers.
- Period 1
Week 2: Large Language Models (LLMs) and Text Generation
GPT and Transformer Architectures: In-depth exploration of GPT-based models and their architecture. Natural Language Processing (NLP): Techniques for text generation, summarization, and question answering. Prompt Engineering: Crafting effective prompts and optimizing results from large language models.
- Period 2
Week 3: Image Generation and Multimodal Models
Diffusion Models and GANs: Exploring image generation through advanced models like Stable Diffusion and GANs. Creative AI Tools: Hands-on experience with DALL·E, MidJourney, and other image-generation tools. Applications of Generative AI in Design and Art: Use cases in creative industries, including art, content creation, and design.
- Period 3
Week 4: Deployment, Ethics, and Capstone Project
Model Fine-Tuning and Deployment: Techniques for fine-tuning pretrained models and deploying them for real-world use. Ethical Considerations in Generative AI: Understanding biases, fairness, and responsible AI practices. Capstone Project: Participants will design and implement a generative AI solution, incorporating the concepts learned throughout the program.
Electives
In addition to the core curriculum, participants can choose from a set of elective modules to tailor their learning experience according to their specific interests and career goals. These electives are designed to dive deeper into niche areas of generative AI and offer specialized skills that can be applied in various domains.
- Elective 1: Advanced Prompt Engineering and Optimization
- Elective 2: AI in Creative Industries
- Elective 3: Generative AI in Healthcare
- Elective 4: AI for Business and Finance
- Elective 5: Ethical AI and Responsible AI Development
Your Future Career at TheSSML
Completing the Summer School on Generative AI 2025 opens a wide range of exciting career opportunities, both within The Standard School of Machine Learning (TheSSML) and in the broader AI and technology landscape. As a part of TheSSML's vibrant community of AI professionals, researchers, and innovators, participants will gain valuable skills and connections that can lead to roles in cutting-edge AI fields.
Career Paths at TheSSML:
- AI Researcher: Contribute to advanced AI research, developing new generative models and applications.
- Machine Learning Engineer: Build, deploy, and optimize AI systems and solutions in real-world settings.
- AI Product Manager: Lead AI product development, from ideation through deployment, ensuring the integration of generative AI in consumer-facing applications.
- Data Scientist/AI Specialist: Analyze data and leverage generative AI techniques to solve complex problems in various industries, including finance, healthcare, and creative fields.
- AI Ethics Specialist: Focus on the ethical challenges of generative AI, ensuring that AI applications adhere to responsible and fair practices.
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Growth Opportunities:
Graduates of the program who demonstrate exceptional skills and commitment will also be considered for internships, research opportunities, or even full-time roles within TheSSML, contributing to groundbreaking AI projects and educational programs. TheSSML is committed to fostering the growth of its students and alumni, offering continuous support through career development programs, mentorship, and networking events with industry leaders.
Global Career Prospects:
The skills gained in the program are highly sought after in AI, machine learning, data science, and technology industries worldwide. Graduates will be well-positioned to pursue roles in top tech companies, AI startups, research labs, and consulting firms, contributing to the advancement of AI technologies.
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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
The Summer School on Generative AI 2025 is designed to accommodate a wide range of participants, from students to professionals, with varying levels of experience. To ensure a smooth and effective learning experience, the following entry requirements apply:
1. Educational Background
- Undergraduate students: A basic understanding of computer science, mathematics, or engineering is recommended.
- Postgraduate students and professionals: A background in computer science, data science, artificial intelligence, engineering, or related fields is preferred but not mandatory.
2. Programming Skills
- A fundamental understanding of Python programming is required, as much of the coursework involves coding exercises, assignments, and projects.
- Experience with basic libraries such as NumPy, Pandas, and TensorFlow/PyTorch will be beneficial but not essential.
3. Basic Knowledge of Machine Learning
- Prior exposure to machine learning concepts like supervised and unsupervised learning, neural networks, and model training will be advantageous but is not mandatory.
4. Motivation and Interest
- A strong interest in Generative AI, machine learning, and AI applications is essential.
- Enthusiasm for hands-on projects, collaboration with peers, and active participation in discussions and coding exercises.
5. Technical Requirements
- Access to a stable internet connection for live online sessions, assignments, and communication.
- A computer with the capability to run AI/ML tools (e.g., Python, TensorFlow, or Jupyter Notebooks). Specific software installation instructions will be provided before the program begins.
6. Application Process
- Participants are required to submit an online application form, including basic personal details, educational background, and a brief statement of motivation outlining why they want to join the program.
- Early-bird registration may be available, with priority given to applicants who submit their forms early.
Tuition Fees
National Applicants: 1200 (Registration Fee Only)
International Applicants: Not Applicable
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