Top 11 AI Workshops that You Must Attend in 2025

Over the past few months, the AI landscape has shifted dramatically. OpenAI’s GPT-4o update brought in seamless voice, vision, and text capabilities to a single model. Google’s Gemini raised the bar for long-context reasoning. Apple is moving in, hinting at deep GenAI integrations across devices. These feature updates signal a new standard for what modern AI can do.

As AI moves from demos to deployment, the real challenge is translating these breakthroughs into working systems. Whether you’re building multi-agent apps, integrating GenAI into workflows, or optimizing LLMs for production, hands-on experience is now essential. And to help you master these complex frameworks and tools, we have curated a list of workshops happening at the DataHack Summit 2025 this year. This is a one-stop place for you to find the right set of mentors for the targeted learning. We have cut through the noise to bring you only the best and what will propel your career to higher levels.

Generative AI: Building More Than Just Prompts

Generative AI has seen the transformation of novelty to necessity. It is no longer just chatbots and image generation. It is now transforming how businesses operate, from automating customer support to optimizing supply chains and accelerating product development. According to a 2024 McKinsey report, GenAI could add up to $4.4 trillion annually to the global economy, with industries like finance, healthcare, and manufacturing already integrating it into core workflows. As adoption scales, the demand for professionals who can build, fine-tune, and deploy GenAI systems is bound to skyrocket. And being proficient in GenAI skills could be the precursor for staying relevant in an AI-first world. 

The generative AI workshops at DataHack Summit 2025 focus on helping you build reliable, scalable, and secure GenAI systems. Whether you’re leading a team or writing code yourself, here you will have the opportunity to explore how to apply LLMs in customer support, content generation, marketing, and varied domains.

You will get a chance to train models, fine-tune them, and combine them with tools like RAG, vector stores, and memory systems, all under the mentorship and guidance of an industry expert. You’ll learn to go beyond prompting and build systems that can reason, retrieve, and improve over time. These GenAI workshops are ideal for both developers and decision-makers looking to bring practical GenAI applications into their products and workflows.

Agentic AI: From Smart Prompts to Autonomous Systems

Agentic AI has become the most talked-about advancement in AI, pushing beyond chat-based assistants into fully autonomous systems. With the rise of frameworks like AutoGen, CrewAI, and LangGraph, tech leaders and startups alike are building AI agents that plan, reason, and act, that do so much more than just respond. In the past year alone, we’ve seen agentic systems deployed in customer service, financial research, automated coding, and even cybersecurity. Platforms like OpenAI’s AutoGen Studio and Microsoft’s AutoGen integrations are making headlines for turning multi-agent collaboration into production-ready workflows.

At DataHack Summit 2025, you will find an opportunity to explore in detail this fast-moving space through hands-on agentic AI workshops. These sessions will teach you how to build agents that can remember context, make multi-step decisions, collaborate with other agents, and trigger external tools or APIs. Whether you’re interested in developing a research agent that analyzes market trends or a support agent that manages conversations end-to-end, you’ll learn how to build it here. These AI workshops are built for developers looking to move from reactive GenAI tools to proactive, autonomous AI systems that can operate independently in real-world environments.

Why Attend DataHack Summit 2025?

DataHack Summit 2025 is where India’s top AI and data professionals gather to learn, exchange and build what’s next. With 150+ speakers and 30+ hands-on workshops, it’s the most relevant platform for learning how AI is applied in production today. The event blends cutting-edge tech with practical insights- so whether you’re scaling LLMs, deploying agents, or experimenting with open-source models, there’s something here for you.

More than just a conference, the summit is a chance to connect with the most thriving AI community in the country. You will get a chance to connect with developers, researchers, and leaders who are solving problems in varied industries, incorporating AI. 

Why Attend Our Workshops?

Our AI workshops, covering areas like Generative AI, Agentic AI, Data Science, and ML, are crafted to give you an intense, hands-on learning experience which can’t be matched with any online videos or passive sessions. Here’s what makes them worth your time:

• Duration: Full-day, 8+ hour deep-dive sessions designed to take you from basics to real-world deployment.
• Format: Expert-led and highly interactive. Instructors walk you through real use cases- training LLMs, deploying intelligent agents, integrating multimodal AI- and guide you as you build them yourself.
• Purpose: Each workshop AI session is built to deliver maximum value in a single day. You’ll gain the practical skills and confidence needed to apply what you’ve learned immediately at work and in your projects.
• Interaction Level: Extremely high. With a small group (only 50 participants per workshop), you’ll receive personal feedback, problem-solving help, and real-time insights tailored to your learning curve.
• Hands-On Work: Bring your laptop and get building. You’ll write code, build pipelines, fine-tune models, and deploy full-stack AI and agentic systems by the end of the session.
  
• Venue: All workshops will take place an in-person setting during DataHack Summit 2025. Check the official website for the venue and timing updates.
  

11 AI Workshops that You Must Attend in 2025

These AI workshop sessions are ideal for developers, data scientists, engineers, and even business leaders looking to dive deep and walk away with real skills, not just notes. Our goal is to ensure you get the maximum value for your time and investment.

1. LLMOps: Productionalizing Real-World Applications with LLMs

This workshop focuses on how to take language models from experiments to real production systems. It teaches you to build scalable pipelines, deploy models on AWS SageMaker, and monitor them using tools like Langfuse. Every module includes practical labs to assist you in applying concepts directly. By the end of this workshop, you will become proficient in automating, optimizing, and maintaining robust LLM-powered applications. Perfect for team members looking to bring AI into live products.

Find workshop details here.

Modules:

1. Foundations of LLMOps
2. SageMaker Platform
3. Continuous Integration with LangChain
4. Monitoring with Langfuse
5. Advanced SageMaker Pipelines
6. Continuous Deployment Strategies

Instructor: Kartik Nighania ( MLOps Engineer at Typewise)

2. AgentOps: Building and Deploying AI Agents

This workshop takes up the process of building smart AI agents that can plan, reason, and work together. You will learn how to integrate memory, tools, and logic to create intelligent workflows. From single-agent logic to full-scale multi-agent systems, this workshop will teach how these agents can automate real business tasks. Real-world examples and guided projects make the learning deeply practical.

Find workshop details here.

Modules:

1. Introduction to AgentOps (Concepts and Principles)
2. Building Agents with LangChain & LangGraph
3. Memory Management and Orchestration Layer
4. Multi-Agent Systems and Collaboration
5. Agentic Retrieval-Augmented Generation (Agentic RAG)
6. Evaluating Agent Performance
7. End-to-End Project: Building a Financial Research Assistant

Instructor: Bhaskarjit Sarmah (Director at BlackRock)

3. Building Intelligent Multimodal Agents: Integrating Vision, Speech and Language

The task at hand in this workshop is to build a Telegram-based AI agent that can see, talk, listen, and understand. This session shows how to combine multiple modalities in one smart system, from setting up real-time image recognition to enabling voice interactions. You will use cutting-edge tools to add memory, reasoning, and communication features. By the end of this workshop, you’ll deploy a fully functional agent to your phone. This is great for developers looking to go beyond text-only AI.

Find workshop details here.

Modules:

1. Project Overview
2. LangGraph Crash Course
3. Building Agent Memory
4. Speech Systems (TTS and STT)
5. Vision-Language Models and Image Generation
6. Connecting to Telegram

Instructor: Miguel Otero Pedrido (ML Engineer and Founder – The Neural Maze)

4. Mastering LLMs: Training, Fine-Tuning, and Best Practices

Want to get a solid grip on Large Language Models (LLMs) and how to work with them? This workshop is your go-to. It walks you through everything from the basics of NLP and transformers to advanced stuff like PEFT, RLHF, and tool-calling with MCP. You’ll get hands-on with models like BERT, GPT-2, LLaMA3, Gemma, and more, using tools like DSPy and RAGs. Great for professionals, but beginners with some Python and deep learning knowledge (especially PyTorch) will fit right in. You’ll need Colab or a GPU-ready setup to follow along.

Find workshop details here.

Modules:

1. Fundamentals of Language Modeling
2. LLM Building Blocks
3. Language Modeling at Scale
4. Operationalising LLMs
5. LLMs beyond Language Modeling

Instructor: Raghav Bali (Principal Data Scientist at Delivery Hero)

5. Unleashing Multi-Agent Applications with CrewAI

This workshop teaches multi-agent orchestration using CrewAI, teaching participants to define, configure, and coordinate agents to solve complex problems. The curriculum for this one includes creating agents, orchestrating workflows, integrating tools, and connecting with external libraries like Streamlit. By the end of this workshop, attendees will be able to build real-world workflows using CrewAI.

Find workshop details here.

Modules:

1. Introduction to CrewAI and Multi-Agent Systems
2. Get Started with CrewAI – Hands-On Fundamentals
3. Content Creation with Guardrails using Flows
4. Fraud Detection with Pattern Recognition Agents
5. Intelligent Onboarding & Persistent Memory with Mem0
6. Final Project – Conversational Agent with Streamlit and Voice I/O

Instructor: Alessandro Romano (Senior Data Scientist at Kuehne+Nagel)

6. Building Real‑World LLM Agents: Evaluation, Optimization & Monitoring

This workshop provides hands-on experience in creating, analyzing, and improving LLM-based agents for real systems. Here you will learn how to measure performance, refine prompts, and use observability tools to monitor production systems. Real-world examples and labs will guide you through debugging and continuous improvement. You will leave here with a know-how of how to track key metrics and maintain robust LLM workflows. 

Find workshop details here.

Modules:

1. Foundations of LLM Applications & Agents
2. Observability and Tracing for LLM Applications
3. Evaluation Techniques & Metrics
4. Prompt Engineering and Optimization
5. System Optimization Approaches
6. Production Monitoring and Continuous Improvement
7. Integration and Capstone Project

Instructor: John Gilhuly (Head of Developer Relations at Arize AI)

7. Agentic AI & Generative AI for Business Leaders

This is easily one of the most in-demand sessions; leaders today need to understand how AI works if they want to guide their teams effectively and stay on top of industry trends. This workshop helps non-technical leaders understand GenAI in business through clear examples and live demonstrations. You’ll learn what AI means for your organization and how to apply it to solve real business challenges. The workshop includes case studies from marketing, HR, and operations, to name a few. By the end, you’ll have a roadmap to integrate AI into your strategy. Ideal for decision-makers looking for practical impact without the technical know-how.

Find workshop details here.

Modules:

1. Opening Keynote: The Age of Intelligence 
2. Demystifying AI & ML – Techniques & Terminology
3. AI in the Enterprise – Archetypes & Use Cases
4. Understanding Generative AI – Foundations & Capabilities
5. Prompting 101 – The Business Leader’s Guide
6. GenAI Applications – RAG, Agents & More
7. GenAI Use Cases in Practice – Enterprise Insights
8. Strategic Considerations & The GenAI Roadmap
   

Instructor: David Zakkam (Data Science Director at Uber)

8. Mastering Real-World Agentic AI Applications with AG2 (AutoGen)

This workshop leverages AutoGen (AG2) for building practical, scalable agent systems across various applications. Here, you will create agents for tasks like customer support, data research, and analysis. You’ll learn to optimize and deploy reliable agent workflows in real settings. By the end of this workshop, you will have built your own specialized agent system ready for production. This is ideal for developers looking to scale agentic AI solutions.

Find workshop details here.

Modules:

1. Introduction & Foundations of AI Agents 
2. Getting Started with AG2 Agents 
3. Core AG2 Concepts & Architecture
4. Advanced Agent Design Patterns
5. Building Custom Agents
6. Integration & External Tools
7. Production Deployment
8. Real-world Applications
9. Best Practices & Future Directions
10. Q&A and Workshop Wrap-up
    

Instructor:
Qingyun Wu, Co-creator and Co-founder of AG2 (formerly AutoGen)

9. Agentic RAG Workshop: From Fundamentals to Real‑World Implementations

This hands-on workshop teaches you how to combine retrieval systems with intelligent agents to create smarter, enterprise-ready AI pipelines. Starting with RAG basics, you will then layer in agentic design to add planning and reasoning. This workshop will guide you through visualizing workflows and deploying real use cases. By the end, you will have an understanding of how to build reliable RAG systems at scale.

Find workshop details here.

Modules:

1. Understand the Fundamentals of Retrieval-Augmented Generation (RAG)
2. Apply Advanced Retrieval Techniques
3. Integrate AI Agents into RAG Pipelines
4. Build and Visualize Agentic Workflows Using LangGraph
5. Implement Proven Agent Design Patterns
6. Build a Full-Scale Agentic RAG Application
7. Compare Traditional vs. Agentic RAG Architectures
8. Apply Practical Tips for Enterprise-Grade Implementation

Instructor: Arun Prakash Asokan (Associate Director, Data Science at Novartis)

10. From Beginner to Expert: Learning LLMs, Reinforcement Learning & AI Agents

This workshop bridges theory and real-world coding by guiding you from LLM basics to building self-improving agents. You will train a decoder-style model from scratch, apply RL (PPO, DPW), fine-tune with RLHF, and add external knowledge via RAG. Here you will be building full LLM‑backed agents and leaving with practical skills to train, fine-tune, and deploy LLM systems confidently.

Find workshop details here.

Modules:

1. Introduction to Large Language Models
2. The Essential Concepts of Reinforcement Learning
3. Adding Reinforcement Learning to Neural Networks
4. Adding Reinforcement Learning with Human Feedback(RLHF) to LLMs
5. Advanced RL for LLMs
6. Retrieval-Augmented Generation (RAG)
7. Agentic AI

Instructors:

• Joshua Starmer (Founder & CEO at StatQuest)
• Luis Serrano (Founder & Chief Education Officer at Serrano Academy)

11. Mastering Intelligent Agents: A Deep Dive into Agentic AI

If you’re curious about Agentic AI and want to get up to speed fast, this is the workshop for you. In one full day, across six modules, you will gain an understanding of the core ideas behind Generative and Agentic AI, explore design patterns like Tool-Use and Multi-Agent systems, and build your own agents using tools like LangChain, LangGraph, and CrewAI. The workshop teaches you how to deploy, debug, and monitor them using FastAPI and LangFuse. It is hands-on, practical, and perfect if you already know Python and some AI basics. All code, slides, and cloud setup included!

Find workshop details here.

Modules:

1. Introduction to Generative & Agentic AI
2. Building Basic Agentic AI Systems
3. Memory Management & Building Conversational Agentic AI Systems
4. Building Advanced Agentic AI Systems
5. Building Agentic RAG Systems
6. Deploying & Monitoring Agentic AI Systems
   

Instructor: Dipanjan Sarkar (Head of Community & Principal AI Scientist at Analytics Vidhya)

Conclusion

What makes these artificial intelligence workshops at DataHack Summit 2025 truly stand out is their focus on real-world impact. We are not talking the usual slides; with our workshops, you will leave with working prototypes, deployment know-how, and the confidence to implement AI at scale. From building multimodal agents to designing feedback loops in LLMOps, every AI workshop experience is tailored to push your capabilities forward. If you’re looking to master this wave of AI, from Generative AI to Agentic AI, these AI workshop sessions offer a rare opportunity to learn from the people building the tools and shaping the future.