- info@aim.media
- +91-9538989028 / 96325 33477 (SPONSORSHIP)
- +91-9741179004 (PASSES)
- info@aim.media
- +91-9538989028 / 96325 33477 (SPONSORSHIP)
- +91-9741179004 (PASSES)
19-20 February 2026 | Nimhans Convention Center, Bangalore
Unlock advanced skills with 4 hands-on
sessions—open only to Workshop Pass
holders and above.
Hands-On Agentic Mastery
Join exclusive, pass-only workshops in Hall 3 for deep technical dives into building, scaling, and debugging next-gen AI agents.
Agentic AI Workshops at MLDS 2026
Workshop 1: From Prototype to Production
Ship battle-tested agentic AI into the real world
Learn how to take agentic applications from lab experiments to production-grade deployments using AWS Copilot. This workshop shows how to automate infrastructure provisioning, CI/CD pipelines, and integrate standards like the Model Context Protocol (MCP) to extend agents beyond chat into real-world tasks.
By the end, you’ll know how to create resilient, scalable, and context-aware AI agents that can truly operate in enterprise environments, while freeing developers to focus on logic instead of infrastructure firefighting.
Workshop 2: Seeing Through the Black Box
Telemetry that makes agents observable at scale
Agentic systems are non-deterministic—making them harder to debug with traditional logs. This workshop takes you deep into telemetry: instrumentation, observability pipelines, and analysis techniques that capture reasoning loops, tool failures, and system context.
You’ll walk away with hands-on methods to turn raw signals into actionable insights, ensuring your autonomous agents remain reliable and explainable in production, even when facing unpredictable environments.
Workshop 3: Agents That Never Forget
Designing persistent memory for production agents
This workshop explores memory architectures that give agents continuity and true persistence. You’ll learn about episodic vs. semantic memory, vector database integration, memory consolidation strategies, and retrieval balancing recency with relevance.
Participants will build agents that learn from every interaction, maintain coherent long-term context, and avoid common pitfalls like context pollution or catastrophic forgetting—core skills for anyone aiming to scale agentic AI responsibly.
Workshop 4: Protocol Wars
The battle for agent-to-agent interoperability
Interoperability will define the future of agent ecosystems. This workshop unpacks the emerging standards—Model Context Protocol (MCP), Agent-to-Agent (A2A), and Agent Communication Protocol (ACP)—that allow agents to “speak” to each other.
Through hands-on exercises, you’ll compare strengths, trade-offs, and real implementations. You’ll learn to build adaptable systems that can evolve with changing standards—future-proofing your AI stack for a multi-agent, protocol-driven world.
Key Takeaways
- Learn how to move agentic AI projects from prototype to enterprise-grade deployments.
- Set up resilient AWS-based infrastructure with automated CI/CD for agents.
- Apply the Model Context Protocol (MCP) to connect agents with real-world tools and systems.
- Gain hands-on experience with instrumentation and telemetry for AI agents.
- Learn how to track reasoning loops, failures, and decision-making processes.
- Turn raw logs into actionable insights for debugging and reliability at scale.
- Master memory design: episodic, semantic, and hybrid approaches for AI agents.
- Implement vector database integration and memory consolidation strategies.
- Build agents that retain context over time without drift or forgetting.
- Understand emerging interoperability standards (MCP, A2A, ACP).
- Compare their strengths, trade-offs, and current adoption status.
- Learn to design agents that can interoperate across ecosystems, future-proofing your stack.
Prerequisites
Basic familiarity with Python, containers, and deploying apps on AWS or equivalent cloud.
Comfort with logging, debugging, and using observability tools (Grafana, Prometheus, OpenTelemetry).
Working knowledge of embeddings, vector databases (Pinecone, Weaviate, FAISS), and retrieval concepts.
Understanding of agent frameworks (LangChain, AutoGen, or similar) and APIs for tool/agent integration.
Book your separate MLDS Workshop Pass to
dive hands-on with expert-led sessions
and get practical skills you can apply right away.
Meet Your Trainers
Hands-on practitioners bringing you real-world
AI expertise through immersive workshops.
Sachin Tripathi, with 9+ years of expertise in AI, ML, big data, and cybersecurity, is a renowned mentor who simplifies complex concepts and empowers learners through impactful, industry-relevant training.
Sachin Tripathi
Manager, AI Research at AIM
Abhishek Kumar, with nearly a decade of experience in AI and data science, is a self-taught coder and applied AI expert known for building intelligent systems across domains—spanning predictive modeling, NLP, generative AI, and agentic systems—with a strong focus on impact and scalability.
Abhishek Kumar
Manager, AI Research at AIM
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Engage directly with top talent and decision-makers while showcasing your solutions in an exclusive, high-impact environment.
Showcase your leadership in agentic AI,
connect with top developers, and shape
the future of intelligent systems.
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©2018-2026 MLDS is a conference property owned by AIM Media House LLC. Any unauthorized use of these names, or variations of these names, is a violation of national & international laws.