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 TalentSprint alumni portal.

Certificate programs are approved by the Centre for Continuing Education at IISc. The program complies with all the relevant regulations applicable. The programs are offered by TalentSprint in collaboration with CCE-IISc.

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

Candidates submit their applications through the TalentSprint portal with details of their profiles.

The detailed learning modules are as follows:

Module 1: Practical Generative AI Foundations

• Template for Agentic and Generative AI adoption
• What tasks can be accelerated using Generative AI - case study from engineering
• e-commerce, conversational commerce
• food delivery
• Legal tech
• medtech and other contemporary use cases

Module 2: Building Generative AI Applications: From Concept to Implementation

• What is Generative AI & the Five Level Framework
• Introduction to Generative AI, Prompt Engineering
• Introduction to GenAI Architecture.

Module 3: Large Language Models

• Introduction of LLMs
• Architecture of LLMs

Tokenization

• Embedding
• Masked Multi-Head Attention
• Layer Normalization
• Language Model Head
• Residuals
• Projection

Module 4: Multimodal AI Systems

• Introduction to VLMs
• Audio Models (ASR, TTS systems)
• Training multi-modal systems

Module 5: Introduction to Agentic AI

• Introduction to Agentic AI
• Anatomy of an AI Agent
• Agent Communication
• LLMs as Agent Brains
• Model Context Protocol (MCP)
• Practical Agent Development
• Common Agent Patterns
• Agent Evaluation and Safety

Module 6: Scientific ML & Physics-Inform ed AI

What is Scientific ML?

• Data-Driven vs Physics-Driven Learning
• Core Techniques and Methods
• Operator Learning, Surrogate Modeling
• Applications and Case Studies
• Applications and Case Studies
• Engineering Applications, Future Directions

Module 7: Foundational Model Fine-tuningI

• Training large multi-modal models
• Supervised fine tuning
• Reinforcement learning with reward models, and post-training aspects

Module 8: AI Safety: Evaluation, Guardrails & Responsible Deployment

• Deep dive into LLM Evals
• LLM-as-a-judge
• Identifying appropriate guardrails
• Ethical considerations in data and model deployment, and contemporary topics.

Module 9: LLMOps

• From Prototype to Production LLMs
• Infrastructure Requirements at Scale
• Quantization and Compression
• Performance Engineering, Serving Framework Implementation
• Production Fine-tuning Infrastructure
• Continuous Learning Systems
• Cost Optimization Strategies.

Module 10: Federated & Distributed AI Learning

• Introduction to Federated Learning
• Types of Federated Learning
• Model Distillation & Advanced Techniques
• Implementation and Applications
• Challenges and Future

Applications Closed

• 6 Months Executive friendly programme
• 105 hours of learning with impact supported by IISc faculty members-led sessions, best in class course content, insightful industry sessions, quizzes, mini projects and capstones.

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.

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.

• Sponsored by employer
• Self-funded: Based on our experience of enabling 10,000+ professionals who have participated in our executive programs, self-funding is the most preferred option, with over 80% choosing this.
• Three key reasons why professionals opt for it:
  • Freedom: To opt for a programme of their choice, at a time of their choice, with an institution of their choice and not be restrained by the organization’s policy.
  • Flexibility: To pursue greater career opportunities beyond their current employer or nurture their entrepreneurial ambitions.

  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. The platform integrates best-in-class 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.

• The tried and tested direct-to-device platform enables 24 x 7 learning for its users. Some key benefits of the platform are:
• Intuitive student experience through a user-friendly LMS
• Seamless faculty experience through state-of-the-art Studios
• Highly Interactive Online Classes
• Effective group/peer learning/projects through Breakout Rooms
• Proctored Online Assessments with detailed analysis
• Insightful Reports on student engagement and performance
• Flexible integration with other components, as needed

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:

• Instructor-led Learning
• Self-paced Learning
• Assessments/Evaluations
• User Experience
• Customer Support
• Scalability and Performance
• Integration and Customization
• Others

Do not worry. If you miss a session, you will be given access to view the recorded version soon.

• An internet-connected device, Computer/Laptop/Tablet/Smartphone, is enough to access the platform.
• Web camera and Mic with necessary power backup will be needed for proctored online assessments.

The Advanced Certification Programme in Agentic and Generative AI is offered by TalentSprint in association with CCE-IISc. CCE-IISc 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 https://cce.iisc.ac.in/