Summer School Program on Generative AI Practicals
The three-week Summer School on Generative AI Practicals is designed to provide participants with a hands-on learning experience in the rapidly evolving field of artificial intelligence.
Programme Overview: Summer School Program on Generative AI Practicals
The three-week Summer School on Generative AI Practicals is designed to provide participants with a hands-on learning experience in the rapidly evolving field of artificial intelligence. The program combines theory with extensive practical sessions, enabling learners to not only understand the fundamentals of generative AI but also apply them in real-world scenarios.
During the first week, participants will be introduced to the foundations of generative AI, including neural networks, transformers, and diffusion models. The second week focuses on practical implementation, where students engage in guided projects such as text generation, image synthesis, and prompt engineering using advanced AI tools and platforms. The final week emphasizes innovation and application, where learners collaborate on mini-projects to solve real-life problems, explore ethical considerations, and present their outcomes.
By the end of the program, participants will gain practical expertise in generative AI tools, acquire problem-solving skills, and develop confidence to apply AI-driven solutions across industries. This intensive training aims to nurture creativity, technical proficiency, and ethical responsibility among future AI professionals.
Explore Summer School Program on Generative AI Practicals
The three-week Summer School on Generative AI Practicals is designed to provide participants with a hands-on learning experience in the rapidly evolving field of artificial intelligence.
Enquire nowThe Summer School on Generative AI 2025 is an intensive, application-driven programme designed to equip participants with practical skills and comprehensive knowledge of generative AI. Spread over five weekends (Saturdays and Sundays), the programme offers a well-balanced mix of theoretical foundations, hands-on practice, and real-world applications. Delivered in a hybrid format — both online and offline at the Vadodara Learning Centre — it enables participants to interact with AI experts and gain proficiency in cutting-edge technologies such as large language models (LLMs), GANs, multimodal AI, AI agents, and transformer-based models. The curriculum covers key areas including prompt engineering, AI-powered content generation, workflow automation, and building AI agents using frameworks like LangChain and RAG. It also emphasizes critical topics such as ethical AI practices, responsible AI deployment, and future trends in generative AI. Whether you are a student, professional, researcher, or entrepreneur, this programme empowers you with the expertise to apply AI-driven solutions confidently and stay ahead in the rapidly evolving digital landscape.
Key skills developed
- Foundational Understanding of Generative AI
- Hands-on Experience with Large Language Models (LLMs)
- Image and Video Generation Techniques
- Prompt Engineering & Optimization
- Model Fine-Tuning & Customization
- Ethical and Responsible AI Practices
Why this programme
How you'll study
The Summer School Program on Generative AI Practicals 2025 will be delivered entirely in online mode, ensuring accessibility for participants across the globe. Sessions will be…
Read moreAccreditation & collaboration
The Summer School on Generative AI 2025 is an accredited program offered by Kamber School of Machine Learning, a leading institution in AI education and research. Participants who…
Read moreSecure your job
Growth Opportunities: Graduates of the program who demonstrate exceptional skills and commitment will also be considered for internships, research opportunities, or even full-time…
Read moreProgramme structure
The Summer School on Generative AI 2025 is structured over five weekends, with sessions held on Saturdays and Sundays in a flexible hybrid format, offering both online participation and offline learning at the Vadodara Learning Centre. The programme comprises ten intensive sessions, carefully designed to blend theoretical understanding with hands-on application. It begins with an introduction to the fundamentals of generative AI and its core architectures, including LLMs, GANs, transformers, and diffusion models. In the following weeks, participants engage in practical work with LLMs and GANs, master prompt engineering techniques, and explore multimodal AI for text, images, audio, and video. The fourth weekend is focused on developing AI agents using Retrieval-Augmented Generation (RAG) and LangChain, empowering participants to build intelligent task-based AI systems. The final weekend delves into advanced language modeling with transformers, fine-tuning models, and culminates in a capstone project where participants apply their learning to real-world challenges. This comprehensive and future-focused programme ensures participants gain the practical skills and confidence needed to leverage generative AI effectively in their careers or ventures.
Overview of Generative AI Understanding Core Architectures: LLMs, GANs, Transformers, and Diffusion Models Evolution and Applications of Generative AI Setting Up AI Tools and Environments
Practical Introduction to Large Language Models (LLMs) Working with GANs for Image Generation Text Generation and Language Understanding Building Simple Generative Models (Text & Images)
Understanding Multimodal AI (Text, Image, Audio, Video) Techniques for Crafting Effective Prompts Prompt Engineering for LLMs, Image Generators, and Multimodal Models Practical Labs with Leading AI Platforms (e.g., OpenAI, MidJourney, DALL·E, Stable Diffusion)
Introduction to Retrieval-Augmented Generation (RAG) Building AI Agents with LangChain Designing Task-Oriented AI Agents and Chatbots Integrating External Data Sources and APIs with AI Agents
Deep Dive into Transformer Architectures Fine-tuning Pre-trained Models Building Custom Generative Language Applications Future of Generative AI, Capstone Project, and Final Presentation
To equip participants with practical skills for deploying generative AI models across real-world domains such as business, education, media, design, and healthcare. This module emphasizes integration, scaling, and ethical concerns in production settings.
Who it's for and how you'll study
Who is the programme for?
The Summer School Program on Generative AI Practicals 2025 is crafted for students, professionals, researchers, entrepreneurs, and AI enthusiasts who are eager to gain real-world experience with generative AI. Designed for participants from a wide range of disciplines—engineering, computer science, data science, management, design, and creative industries—the program emphasizes hands-on learning with advanced AI tools. Whether you are a student preparing for the future, a professional upgrading your expertise, a researcher looking to integrate AI into your work, or an entrepreneur exploring AI-driven opportunities, this program equips you with practical skills to apply generative AI for automation, content creation, problem-solving, and innovation across industries.
How will you study?
The Summer School Program on Generative AI Practicals 2025 will be delivered entirely in online mode, ensuring accessibility for participants across the globe. Sessions will be conducted live through interactive virtual classrooms, supported by recorded lectures, guided tutorials, and real-time Q&A with experts. Learners will gain practical exposure through hands-on labs, project-based assignments, and collaborative group discussions, all facilitated on digital platforms. This flexible approach allows participants to engage in a structured yet convenient learning environment, making it possible to balance professional, academic, or personal commitments while building expertise in generative AI.
Entry requirements
The Summer School on Generative AI 2025 is open to students, working professionals, researchers, and entrepreneurs with a keen interest in AI and emerging technologies. Applicants are expected to have a basic understanding of computers, technology, or programming. While prior experience in AI or coding is beneficial, it is not mandatory, as the programme starts with foundational concepts before progressing to advanced topics.
Participants should have:
- A background in engineering, computer science, data science, design, management, or any related discipline, or a strong interest in AI technologies.
- English proficiency sufficient to follow technical instructions and participate in discussions (recommended B2 level or equivalent).
- A personal laptop with internet connectivity for practical exercises, whether attending online or offline.
No formal academic prerequisites are required, but a curious mindset and a willingness to engage with AI tools and technologies are essential for a successful learning experience.
Accreditation and Collaboration at Kamber School
The Summer School on Generative AI 2025 is an accredited program offered by Kamber School of Machine Learning, a leading institution in AI education and research. Participants who successfully complete the program will receive a Certificate of Completion recognized by Kamber School, 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 Kamber School’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 Kamber School’s commitment to delivering world-class education and preparing participants for advanced research, professional growth, and innovation in the field of Artificial Intelligence.
Our Application Process at Kamber School
At Kamber School, 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 Kamber School Executive Premasters Award.
How to apply
Full application guide- 01Apply onlineComplete the online application form.
- 02Submit documentsUpload the supporting documents requested for your application.
- 03Interview / assessmentMeet the admissions team so we can get to know you.
- 04Receive decisionHear back from admissions with the outcome of your application.
Tuition fees and funding
- National applicants
- AED 650 (Rs 15,000)
- 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.
Your future career at Kamber School
Completing the Summer School on Generative AI 2025 opens a wide range of exciting career opportunities, both within Kamber School of Machine Learning and in the broader AI and technology landscape. As a part of Kamber School'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 Kamber School:
- 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.
Secure Your Job at Ambaincip School of Business After Completing Summer School Program on Generative AI Practicals at Kamber School
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 Kamber School, contributing to groundbreaking AI projects and educational programs. Kamber School 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.
Kamber School: Your Gateway to Innovation
At Kamber School, 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, Kamber School is your gateway to mastering the skills and insights needed to lead in the rapidly evolving world of artificial intelligence and machine learning.
Top-tier education at Kamber School
Double Your Reach
Gain exclusive access to Kamber School's extensive alumni network, alongside global connections, enhancing your professional prospects and career opportunities.
Accredited and Recognized
Kamber School 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 Kamber School may benefit from career development programs and assistance in securing job placements or internships, offering valuable industry experience after graduation.
Global Partnerships
Kamber School 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 Kamber School
At Kamber School, 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.
Kamber School Partners with AICTSD And MACUL
At Kamber School of Machine Learning, 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, Kamber School guarantees that students receive industry-recognized training, preparing them for leadership roles in a rapidly evolving AI landscape.
Kamber School Alumni Survey
At Kamber School, 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.
91%
of our graduates 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
Ready to take the next step?
Apply for Summer School Program on Generative AI Practicals, ask us a question, or talk to our admissions team.