AgentCamp Gurugram 2026 is a premier AI & Developer Conference happening in March 2026 in Gurugram, India. Hosted by the 5th IR Developer Community (MultiCloud4U) and Dr. Abhishek Mishra, this in-person event brings together developers, AI engineers, architects, and tech leaders for an action-packed day of learning and networking. The conference will cover cutting-edge topics including AI Agents, Generative AI, Multi-Agent Ecosystems, RAG (Retrieval-Augmented Generation) implementations, and real-world AI use cases. Attendees will gain practical insights through expert talks, live demos, and technical discussions focused on building and deploying intelligent AI systems.
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Join the DiscussionA thoughtfully organized program that brings together sessions, discussions, and networking opportunities to deliver a smooth and engaging conference experience.
Participants arrive, collect badges, and network with fellow professionals, industry leaders, and speakers before the event begins.
An insightful opening address setting the tone for the conference. The keynote will highlight the current AI landscape, enterprise adoption trends, and how organizations can harness AI responsibly to drive innovation, efficiency, and growth.
This session explores how AI-powered work item assistants can transform Azure DevOps workflows. Learn how teams can automate backlog management, improve sprint planning, and enhance developer productivity using intelligent AI capabilities.
AI-based predictive analysis in manufacturing refers to the use of artificial intelligence and data analytics to forecast future events, optimize processes, and reduce risks. By analyzing historical and real-time data from machines, sensors, and production systems, AI models can predict equipment failures, maintenance needs, demand trends, and quality issues. This enables manufacturers to minimize downtime, improve efficiency, reduce costs, and enhance product quality through proactive decision-making rather than reactive responses.
A leadership perspective on how AI can move past inflated expectations to deliver tangible, transformative business value
Learn how to build Retrieval-Augmented Generation (RAG) applications using LangChain, Python, and Facebook AI Similarity Search (FAISS). This workshop covers the core RAG pipeline, including document processing, embeddings, vector storage, and similarity-based retrieval. Participants will gain practical insights into creating AI-powered chatbots, document search systems, and knowledge assistants that combine retrieval with large language models for more accurate and context-aware responses.
01:00 PM – 02:00 PM
Retail organizations are transforming data into intelligent, scalable decisions using AI and advanced analytics. This session explores real-world use cases in forecasting, pricing, and customer intelligence, while highlighting modern data platforms and governance frameworks that enable responsible AI adoption and measurable business impact at enterprise scale.
Artificial intelligence is transforming both cybersecurity defenses and the threats organizations face. In this 20–25 minute session, drawing from my book on Zero Trust Security Engineering, I’ll explore how AI is reshaping attack methods and defense strategies, why perimeter-based security no longer works, and how Zero Trust provides a resilient model for securing AI-driven environments — followed by Q&A.
Enterprises have long relied on traditional Business Intelligence for reports and dashboards, but AI is driving a shift toward dynamic, knowledge-driven platforms. This session explores how organizations can move beyond analytics to integrate data, context, and automation and what it takes in architecture, governance, and culture to make that transition successful.
This session explores how intent-driven development is transforming infrastructure automation. Learn how GitHub Copilot can be leveraged to generate infrastructure code from high-level intent, accelerate DevOps workflows, reduce manual errors, and improve consistency across cloud environments.
The Next Frontier in Agentic AI: From Developer Experience to Agent Experience highlights the shift from designing AI tools for human developers to creating systems optimized for autonomous AI agents—focusing on better reasoning, memory, adaptability, and independent task execution.
A formal wrap-up of the conference, key takeaways, acknowledgments, and a thank-you note to speakers, partners, and participants.
Discover a diverse group of Panelist who will share their insights, experiences, and perspectives through engaging sessions, discussions, and presentations. Their participation adds depth, knowledge, and value to the overall conference experience.
Share your knowledge, inspire professionals, and take the stage at our conference.
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