CAPABL: BRIDGING AI AND ACADEMIA
The Capabl 2-Day Agentic AI Workshop, conducted on November 28–29, 2025, at RV College of Engineering (RVCE), was an engaging and hands-on learning experience designed to introduce students to the rapidly evolving domain of Agentic AI. The event was organized by Capabl in collaboration with the ACM RVCE Student Chapter, bringing together industry expertise and student-driven enthusiasm to create an impactful learning environment.
Event Highlights
Introduction to Agentic AI and Modern LLMs
The workshop began with a comprehensive introduction to Agentic AI systems, focusing on how intelligent agents leverage Large Language Models (LLMs) to perform tasks autonomously.
Participants were introduced to key concepts such as:
- Fundamentals of Large Language Models (LLMs) and their real-world applications
- The importance of vector databases in efficient information retrieval
- Differences between traditional storage systems and modern AI-driven architectures
- Introduction to Retrieval-Augmented Generation (RAG) and its role in enhancing context-aware responses
Hands-on Learning and Practical Implementation
A major highlight of the workshop was its strong emphasis on hands-on learning. Participants actively worked through real-world AI workflows and implementations.
Key learning components included:
- Designing RAG pipelines with embeddings, chunking strategies, and similarity search
- Understanding vector search workflows and indexing mechanisms
- Building AI-powered applications using LangChain
- Creating custom tools using Python and integrating them into agent workflows
- Working with real-time APIs, including building a weather tool using Weatherstack API
Students gained practical exposure to building fully functional AI agents capable of interacting with external systems and APIs.
Speaker Sessions and Interactive Learning
The workshop was led by Mohammed Ameer, who guided participants through both foundational concepts and advanced implementations.
The sessions included:
- Step-by-step walkthroughs of LangChain architecture and tool orchestration
- Deep dives into RAG system design and deployment considerations
- Interactive discussions on scaling LLM applications and choosing the right vector databases
- Real-time troubleshooting and feedback on participants’ ongoing AI projects
A dynamic Q&A session allowed students to clarify doubts and gain insights into industry practices.
Day-wise Experience
Day 1: Foundations and Core Concepts
- Introduction to LLMs and vector databases
- Deep dive into Retrieval-Augmented Generation (RAG)
- Practical demonstrations of embeddings and vector search workflows
- Open discussions and project feedback
Day 2: Tools, Integration, and Deployment
- Introduction to LangChain and its ecosystem
- Building custom tools and chaining workflows
- API integration with real-world use cases
- Hands-on development of a functional AI-powered weather tool
- Exploration of input parsing, error handling, and tool chaining logic
Audience Participation & Collaboration
The workshop witnessed enthusiastic participation, with students actively engaging in hands-on exercises and collaborative problem-solving.
Participants:
- Worked in groups to build and test AI pipelines
- Shared their projects and received expert feedback
- Networked with peers interested in AI and development
- Explored practical challenges in deploying intelligent systems
Outcomes
By the end of the workshop, participants successfully:
- Learned to design, build, and deploy AI agents
- Implemented RAG pipelines and understood their architecture
- Gained proficiency in LangChain, including tool creation and chaining
- Integrated multiple APIs into agent workflows
- Developed a strong understanding of embeddings, vectorization, and LLM-based systems
Conclusion
The Capabl Agentic AI Workshop successfully delivered a comprehensive and practical introduction to modern AI system development. By combining theoretical foundations with real-world implementation, the workshop empowered students to build intelligent, production-ready AI agents.
The collaboration between Capabl and the ACM RVCE Student Chapter played a key role in making this event a success, blending industry insight with academic initiative. The enthusiasm and active participation from attendees set a strong foundation for future workshops and deeper exploration into Agentic AI.
