Generative AI—a paradigm shift in the world of AI goes beyond analysing data to create entirely new, realistic datasets, paving the way for a new era of exploration and efficiency. Generative AI has the potential to significantly accelerate AI adoption, even for organisations lacking deep AI or data-science expertise. In many instances, this can be accomplished through APIs or by prompt engineering. The market for Gen AI is poised for explosive growth, reaching an estimated $200 billion by 2032, representing a significant chunk (20%) of the total AI spends. In fact a study by Gartner predicts that by 2025, over 10% of all data will be AI-generated, ushering in a new "Age of WithTM" where humans and AI collaborate seamlessly.
From being a boardroom discussion to actual deployment, we are slowly and steadily beginning to witness how Generative AI is accelerating experimental, consumer, and, soon, enterprise use cases. Here is how businesses are leveraging Gen AI
To help professionals explore and tap into this new frontier of AI, IISc has launched the Advanced Certification Programme in Generative AI and Prompt Engineering. This one of a kind AI Certification will empower you to be at the forefront of this exciting technological revolution.
The world of AI is on the cusp of a revolution with Generative AI leading the charge. As companies strive to get the most out of this new frontier, they need a new skill: prompt engineering.
Here are a few reasons why prompt engineering is an in-demand skill today.
India's #1 Research Institute and #1 University, IISc, is globally recognized for its academic and research excellence. Home to some of the remarkable achievements and milestones set in the history of science and technology, here are some of the reasons why IISc would benefit you in your career.
The programme brings a transformative learning experience, perfected for professionals.
You will learn from the distinguished IISc Faculty.
Education: B.E / B.Tech / M.E / M.Tech / M.Sc / MBA or equivalent master's degree with a minimum 50% marks and 1 year professional experience.
BSc, BA, LLB, CA, BBA with a minimum of 65% marks and 2 years of professional experience. A background in mathematics at high school level is necessary for a non-engineering degree
The programme will be delivered in an interactive online format, retaining effectiveness while maintaining safety. The format uniquely combines the benefits of an in-class programme with the flexibility and safety of online learning.
Benefits of in-class delivery
Flexibility and additional value of online learning
The programme will be delivered on TalentSprint's patent-pending iPearl.ai, a leading digital learning platform of choice used for programs offered by the likes of Google, IIM Calcutta, IIT Hyderabad, IISc, and IIT Kanpur, to name a few.
This is an expertise-building programme for experienced professionals. You will be certified by the Center for Continuing Education at IISc Bangalore.
A certificate of successful completion is provided upon meeting all program requirements. IISc carries out all examinations and evaluations related to the certification.
The programme format with LIVE Interactive Sessions, Industry Sessions, Quizzes, Mini Projects, and Assignments enables a conducive environment to network with your peers in the cohort. Most participants can continue to network even after the cohort by using the alumni portal.
As an Institution of Eminence, IISc enjoys considerable autonomy. Certificate programs the institution offers to working professionals, such as this programme, are governed and fully approved by the IISc Centre for Continuing Education. The program complies with all the relevant regulations applicable.
All participants must execute, before the start of the programme, an agreement that consists of the standard programme Terms and Conditions. It has the following components:
Part A: Etiquette and Platform Rights
Classroom Etiquette & General Policy Guidelines
Tools and Platforms in Use
Tools and Platforms: Terms of Use
Part B: Honor Code
Part C: Certification
Part D: Programme Fee, Refund, and Termination Policy
IISc conducts the selection process for the programme. Candidates will be selected based on the details of their education, work experience, and a statement of purpose submitted by them along with the application.
**Selection for the programme will be done by IISc and is strictly based on the education, work experience, and motivation of the participants.
The detailed learning modules are as follows:
Module 1: Overview of Classic Machine Learning and Artificial Intelligence
Learning Outcomes: Learn to tackle business problems using AI/ML by identifying suitable AI models and evaluating the appropriateness of GenAI. They will also understand neural networks and training models for GenAI applications through hands-on coding sessions.
Module 2: Building Generative AI Applications: From Concept to Implementation
Learning Outcomes: At the end of this module, you will be able to create your first generative AI application from concept to deployment, gain a comprehensive understanding of the end-to-end workflow and tools for building and deploying GenAI, and learn to integrate principles of Responsible and Trustworthy AI aspects in their designs.
Module 3: Generative Text and Speech Models
Learning Outcomes: At the end of this module, you will learn the core principles of generative text models, delving into tokenization, multi-head attention mechanisms, and training techniques while also gaining detailed insights into encoder and decoder transformer models, data preparation and hands-on coding for fine-tuning foundational text generation models.
Module 4: Generative Image Models
Learning Outcomes: At the end of this module, you will acquire a comprehensive understanding of the core concepts of generative vision models, delving into vision transformers, stable diffusion, and CLIP training procedures while also understanding foundational image and video generation models.
Module 5: LLMOPs with Low Code, No Code Platforms
Learning Outcomes: At the end of this module, you will gain insights into LLMOPs with Low Code, No Code Platforms, developing comprehensive agentic workflows and end-to-end GEnAI solutions.
Module 6: Advanced Prompt Engineering
Learning Outcomes: At the end of this module, you will dive deep into advanced prompting strategies like Chain of Thought and ReAct styles, grasp the fundamentals of Retrieval Augmented Generation using vector databases and decoder-only transformer models, build a RAG system from scratch in a hands-on activity, and enhance their problem-solving skills with LLM Agents.
The programme starts on December 2024
The programme will be delivered through faculty-led interactive live sessions on TalentSprint’s ipearl.ai. These online sessions will be held at a schedule convenient for working professionals. Participants can interact with the faculty through video, audio, and chat. They will also be able to chat with fellow programme participants during online sessions.
As per the programme norms, participants have to maintain at least 75% of attendance during the program. Going by the curriculum, it is recommended that participants maintain attendance for enriched learning. In unavoidable circumstances, one can access the recorded lectures on our platform to cover up for the missed sessions.
The programme includes continuous formative and summative assessments. The final scores will be determined based on the sum of the scores of various assessments.
Yes, participants are required to have their laptops.
Reading material (pre/post session) will be shared regularly through the Online Learning Management System. The access will be available for 1 year from the date of the commencement of the program.
A certificate of successful completion is provided upon completion of all requirements of the program. All examinations and evaluations related to the certification are carried out by IISc.
For programme fee-related details, please visit fee page Campus visit fee will be based on actuals and to be borne by the participants.
Yes, flexible EMI options enable you to pay the programme fee in instalments. Please contact your RM to know the details of the schemes available.
For scholarship-related details, please visit fee page. You can also reach out to your RM for more details.
No, the application fee is non-refundable.
No. The programme fee is non-refundable and non-transferable under any circumstances.
Professionals have multiple options for funding.
We have also observed that the commitment levels were higher among self-funding participants.
iPearl.ai (Interactive Platform for Experiential and Remote Learning) is created by TalentSprint’s engineering team led by our Chief Technology Officer, an IIT Kanpur alumni. The platform integrates best-in-class open-source technologies and SaaS services and perfected them over the last seven years.
When this platform was built, we intended to offer it to our partners and customers for digital learning and delivery. Since 2013, the platform has been extensively used by IIM Calcutta, IIT Kanpur, IIIT Hyderabad, and IIT Hyderabad, and many more of our customers and partners. More than 300,000 students have used this platform, which is reputed for user experience, quality, and scale.
This feature-rich platform has become so popular that some of our partners now use it for their academic needs.
A comparative study of iPearl.ai against Canvas, Impartus, Moodle, Google Classroom, Microsoft Teams, and Zoom was conducted. Features in the following categories were compared:
Do not worry. If you miss a session, you will be given access to view the recorded version soon.
The Advanced Certification Programme in Generative AI and Prompt Engineering will be delivered by IISc’s Centre for Continuing Education (CCE) in collaboration with TalentSprint. CCE offers courses suitably designed to meet the requirements of various target groups - aspiring research scientists, graduate engineers, and young professionals, enabling them to grow into competent managers of technology-intensive organizations. For more information, visit http://cce.iisc.ac.in
*Based on the metric of Citations per Faculty