Over the past few months, the AI landscape has shifted dramatically. OpenAI\u2019s GPT-4o update brought in seamless voice, vision, and text capabilities to a single model. Google\u2019s 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.<\/p>\n
As AI moves from demos to deployment, the real challenge is translating these breakthroughs into working systems. Whether you\u2019re 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.<\/p>\n
Generative AI: Building More Than Just Prompts<\/h2>\n
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,<\/a> 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<\/a> could be the precursor for staying relevant in an AI-first world.\u00a0<\/p>\n The generative AI workshops at DataHack Summit 2025 focus on helping you build reliable, scalable, and secure GenAI systems. Whether you\u2019re 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.<\/p>\n 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\u2019ll 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.<\/p>\n 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<\/strong>, CrewAI<\/strong>, and LangGraph<\/strong>, 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\u2019ve seen agentic systems deployed in customer service, financial research, automated coding, and even cybersecurity. Platforms like OpenAI\u2019s AutoGen Studio and Microsoft\u2019s AutoGen integrations are making headlines for turning multi-agent collaboration into production-ready workflows.<\/p>\n 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\u2019re interested in developing a research agent that analyzes market trends or a support agent that manages conversations end-to-end, you\u2019ll 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.<\/p>\n DataHack Summit 2025 is where India\u2019s top AI and data professionals gather to learn, exchange and build what\u2019s next. With 150+ speakers and 30+ hands-on workshops, it\u2019s 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\u2019re scaling LLMs, deploying agents, or experimenting with open-source models, there\u2019s something here for you.<\/p>\n 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.\u00a0<\/p>\n 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\u2019t be matched with any online videos or passive sessions. Here\u2019s what makes them worth your time:<\/p>\n 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.<\/p>\n 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.<\/p>\n Find workshop details here<\/a>.<\/p>\n Modules:<\/strong><\/p>\n Instructor:<\/strong> Kartik Nighania ( MLOps Engineer at Typewise)<\/p>\n 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.<\/p>\n Find workshop details here<\/a>.<\/p>\n Modules:<\/strong><\/p>\n Instructor:<\/strong> Bhaskarjit Sarmah (Director at BlackRock)<\/p>\n 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\u2019ll deploy a fully functional agent to your phone. This is great for developers looking to go beyond text-only AI.<\/p>\n Find workshop details here<\/a>.<\/p>\n Modules:<\/strong><\/p>\n Instructor:<\/strong> Miguel Otero Pedrido (ML Engineer and Founder \u2013 The Neural Maze)<\/p>\n 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\u2019ll 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\u2019ll need Colab or a GPU-ready setup to follow along.<\/p>\n Find workshop details here<\/a>.<\/p>\n Modules:<\/strong><\/p>\n Instructor:<\/strong> Raghav Bali (Principal Data Scientist at Delivery Hero)<\/p>\n 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.<\/p>\n Find workshop details here<\/a>.<\/p>\n Modules:<\/strong><\/p>\n Instructor:<\/strong> Alessandro Romano (Senior Data Scientist at Kuehne+Nagel) <\/p>\n 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.\u00a0<\/p>\n Find workshop details here<\/a>.<\/p>\n Modules:<\/strong><\/p>\n Instructor:<\/strong> John Gilhuly (Head of Developer Relations at Arize AI)<\/p>\n 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\u2019ll 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\u2019ll have a roadmap to integrate AI into your strategy. Ideal for decision-makers looking for practical impact without the technical know-how.<\/p>\n Find workshop details here<\/a>.<\/p>\n Modules:<\/strong><\/p>\n Instructor:<\/strong> David Zakkam (Data Science Director at Uber) <\/p>\n 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\u2019ll 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.<\/p>\n Find workshop details here<\/a>.<\/p>\n Modules:<\/strong><\/p>\n Instructor:<\/strong> 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.<\/p>\n Find workshop details here<\/a>.<\/p>\n Modules:<\/strong><\/p>\n Instructor:<\/strong> Arun Prakash Asokan (Associate Director, Data Science at Novartis)<\/p>\n 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\u2011backed agents and leaving with practical skills to train, fine-tune, and deploy LLM systems confidently.<\/p>\nAgentic AI: From Smart Prompts to Autonomous Systems<\/h2>\n
Why Attend DataHack Summit 2025?<\/h2>\n
Why Attend Our Workshops?<\/h2>\n
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11 AI Workshops that You Must Attend in 2025<\/h2>\n
1. LLMOps: Productionalizing Real-World Applications with LLMs<\/h3>\n
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2. AgentOps: Building and Deploying AI Agents<\/h3>\n
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3. Building Intelligent Multimodal Agents: Integrating Vision, Speech and Language<\/h3>\n
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4. Mastering LLMs: Training, Fine-Tuning, and Best Practices<\/h3>\n
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5. Unleashing Multi-Agent Applications with CrewAI<\/h3>\n
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6. Building Real\u2011World LLM Agents: Evaluation, Optimization & Monitoring<\/h3>\n
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7. Agentic AI & Generative AI for Business Leaders<\/h3>\n
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8. Mastering Real-World Agentic AI Applications with AG2 (AutoGen)<\/h3>\n
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<\/strong>Qingyun\u202fWu, Co-creator and Co-founder of AG2 (formerly AutoGen)<\/p>\n9. Agentic RAG Workshop: From Fundamentals to Real\u2011World Implementations<\/h3>\n
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10. From Beginner to Expert: Learning LLMs, Reinforcement Learning & AI Agents<\/h3>\n
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