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EXHIBIT

WORKSHOP

Let us learn Agentic AI and build AI Copilots in 3 hours! (WS02)

26th MAR 2025 | 2:30 PM to 6:00 PM

Venue: Room 1, NIMHANS Convention Centre, Bangalore

FEES: ₹2999
Earlybird price: ₹1999

Book Your Seat

Objective of the workshop:

• Understand the concept of Agentic AI and its applications.
• Learn the key components of building AI Copilots.
• Gain hands-on experience in designing and prototyping a simple AI Copilot.
• Explore real-world use cases and future trends in Agentic AI.

Speakers /Instructors

Uday Swamy

Chief Solutions Architect (AI),
Caze Labs Private Limited

Lijoy J

Chief Product Architect (AI), Caze Labs Private Limited

Amit Kumar Roushan

Co-Founder, CTO, Caze Labs Private Limited

Sanil Kumar D

Founder CEO Caze Labs

Who can attend this workshop?​

• Developers, data scientists, and AI enthusiasts.
• Product managers and tech leaders interested in AI-driven solutions.
• Beginners with basic knowledge of AI/ML concepts.

What all will be covered in the workshop?
  • 1. Introduction (30 minutes)
    • Welcome and Icebreaker: Quick introduction of participants and their expectations.
    • What is Agentic AI?:
    - Definition and key characteristics.
    - How it differs from traditional AI.
    - Examples of Agentic AI in action (e.g., autonomous agents, AI Copilots).
    • Why AI Copilots?:
    - Role of AI Copilots in enhancing productivity and decision-making.
    - Real-world examples (e.g., GitHub Copilot, Microsoft 365 Copilot).
  • 2. Core Concepts of Agentic AI (30 minutes)
    • Key Components of Agentic AI:
    - Autonomy, adaptability, and goal-oriented behavior.
    - Interaction with environments and users.
    • Architecture of AI Copilots:
    - Natural Language Processing (NLP) and Large Language Models (LLMs).
    - Integration with APIs and external tools.
    - Feedback loops and continuous learning.
    • Demo:
    - Show a live example of an AI Copilot in action (e.g., a chatbot or coding assistant).
  • 3. Hands-On Session: Building an AI Copilot (90 minutes)
    - Step 1: Setting Up the Environment (15 minutes):
    - Introduce tools and frameworks (e.g., OpenAI GPT, LangChain, Hugging Face).
    - Provide a pre-configured environment or guide participants to set up their own.
    Step 2: Designing the Copilot (30 minutes):
    - Define the use case (e.g., coding assistant, customer support bot).
    - Break down the workflow: input, processing, output.
    - Integrate with an LLM and APIs (e.g., for code execution or data retrieval).
    Step 3: Prototyping and Testing (30 minutes):
    - Build a basic prototype using a no-code/low-code platform or Python.
    - Test the Copilot with sample inputs and refine the logic.
    Step 4: Showcase and Feedback (15 minutes):
    - Participants share their prototypes and discuss challenges.
    - Provide feedback and suggestions for improvement.
  • 4. Real-World Applications and Future Trends (45 minutes)
    • Use Cases of AI Copilots:
    - In software development, healthcare, customer service, and education.
    • AI Security - Lets understand the pitfalls
    - AI Security Challenges
    - Meeting the challenges -0The pointers
    - AI Security Trends
    • Challenges and Ethical Considerations:
    - Bias, privacy, and accountability in Agentic AI.
    • Future Trends:
    - Advances in LLMs and multimodaal AI.
    - The role of AI Copilots in shaping the future of work.
    • Q&A Session: Open floor for questions and discussions.
  • 5. Wrap-Up and Next Steps (15 minutes)
    • Recap: Summarize key takeaways from the workshop.
    • Resources for Further Learning:
    - Links to tutorials, documentation, and research papers.
    - Recommended tools and platforms for building AI Copilots.
    • Feedback Form: Collect feedback to improve future workshops.
    • Networking: Encourage participants to connect and collaborate.
Benefits/Takeaways of this workshop for the attendees (What will attendees do after attending the workshop which they were not able to do before attending this)
  • Learn the fundamentals of Agentic AI, including its autonomy, adaptability, and goal-oriented behavior, and how it powers AI Copilots
  • Explore the architecture of AI Copilots, including integration with Large Language Models (LLMs), APIs, and feedback loops for continuous improvement.
  • AI Security Challenges
  • Discover real-world applications of AI Copilots in industries like software development, healthcare, and customer service, along with ethical considerations and future trends.
Prerequisites to attend the workshop
  • Basic Programming Knowledge
  • Understanding of AI/ML Basics
  • Familiarity with APIs with Curiosity and Enthusiasm
  • Problem-Solving Mindset and Basic Understanding of AI Applications
Book Your Seat

About Speakers

Uday Swamy is an enthusiastic Solutions Engineer who has dedicated over a  decade and a half, developing technology products and solutions, serving diverse Business Domains. Recently, he has been leading the development of Enterprise RAG solutions on custom data, leveraging Generative AI to tackle complex enterprise challenges. With a robust background in Deep Learning, MLOps, Adtech, Telecomm, and Cloud platforms, he enjoys designing and developing cross-domain technology solutions. Passionate about technology and its societal impacts, Uday is ever curious to explore the profound implications of technological  recombinant innovation. Recognized for leading teams and driving projects from conception to production, he is committed to creating impactful AI-driven solutions that deliver significant business value.

Lijoy has a strong knowledge on LTE, IMS, SIP and related wireless communication protocols, TCP/IP communication and good knowledge in 5G architecture, Has led the formation of Advertisement CVR & CTR prediction team for AALA region (Asia pacific, Africa, Latin America) (more than 100 countries). He comes with expertise in creating LLM based advanced applications and products.

Amit is a Co-Founder and CTO Caze Labs. He is an OpenSource Enthusiast and SODA Foundation Maintainer

Sanil has over two decades of product development expertise in Open Source, Cloud, Hybrid Data Management, Edge Computing, Blockchain, Real-time Embedded Systems, ARM Ecosystem, and Linux. He founded Caze Labs Private Limited in May 2023, to build innovative solutions based on open source and technology (Observability, Cloud, AI, Cyber Security). He is also the TOC Co-Chair at SODA Foundation, leading its initiatives on hybrid cloud data management. He incubated open-source projects and has patents/research papers on his credit. He is an industry-awarded technologist for his open-source, technology and community contributions. Also contributing through key roles at CNCF, SODA, IEEE, CCICI and various open source projects(TOC, Program Committee, Governing Board, Maintainer). Currently, he is also pursuing a PhD in open source and observability. He delivered talks and keynotes at international conferences and is also part of the ACM Eminent Speaker panel.

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