Smart AI Systems using LLM + RAG – Hands-on Workshop at MindLyft AI Campus

In today’s rapidly evolving AI landscape, Large Language Models (LLMs) are transforming how we interact with data, automate tasks, and build intelligent systems. However, traditional AI models often struggle when it comes to accessing real-time or organization-specific information.

The Smart AI Systems using LLM + RAG workshop at MindLyft AI is designed to help participants overcome these limitations by combining the power of LLMs with Retrieval-Augmented Generation (RAG). This hands-on workshop introduces learners to building intelligent systems that can retrieve, process, and generate accurate responses using custom data sources.

Participants will gain practical experience in developing a basic RAG pipeline, enabling them to create their own AI-powered question-answering systems using personal or enterprise data.

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What You Will Learn & Achieve

By the end of this workshop, learners will:

• Understand the fundamentals of Large Language Models (LLMs)
• Learn how Retrieval-Augmented Generation (RAG) enhances AI performance
• Build a basic RAG pipeline including document ingestion, embeddings, and retrieval
• Integrate custom data sources with LLMs for accurate, context-aware responses
• Develop a functional AI-based question-answering system using real-world data

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Tools, Skills & Concepts Covered

• Fundamentals of Large Language Models (LLMs)
• Introduction to Retrieval-Augmented Generation (RAG)
• Document ingestion and data preprocessing techniques
• Embeddings and vector representations
• Vector databases and semantic search concepts
• Building AI pipelines using LangChain

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Key Topics You Will Explore

• What are LLMs and how they work
• Limitations of traditional AI models
• Understanding RAG architecture and workflow
• Step-by-step creation of a RAG pipeline
• Integrating personal or enterprise data into AI systems
• Real-world applications of AI-powered knowledge retrieval

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Exclusive Learning Experience

• Live demonstration of building a RAG-based AI system
• Hands-on implementation using real documents and datasets
• Practical understanding of modern AI system design
• Exposure to real-world enterprise AI use cases

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Career Awareness & Opportunities

This workshop helps learners explore emerging opportunities such as:

• AI Engineer and LLM Application Developer roles
• Enterprise AI and Knowledge Automation roles
• Building intelligent chatbots and AI assistants
• Future learning paths in Generative AI and Applied AI Engineering

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Certification

Participants will receive a Certificate after successfully attending the workshop.

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What Makes This Workshop Different

• Focus on practical implementation of cutting-edge AI technologies
• Hands-on experience with LLMs and RAG pipelines
• Real-world use cases using personal and enterprise data
• Beginner-friendly yet industry-relevant content
• Offline mentor-led learning experience at MindLyft AI Campus

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Mode

Offline | MindLyft AI Campus, Akurdi, opposite Akurdi Railway Station, PCMC, Pune

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Ideal For

Students, Graduates, Working Professionals, Developers, AI Enthusiasts & Anyone Interested in Generative AI and Smart AI Systems 🚀