Dipanjan Sarkar is currently the Head of Artificial Intelligence & Community, Analytics Vidhya. He is also a published Author, and Consultant, boasting over 13 years of extensive expertise in Machine Learning, Deep Learning, Generative AI, Agentic AI, Computer Vision, and Natural Language Processing. His leadership spans Fortune 100 enterprises to startups, crafting end-to-end AI products and pioneering AI upskilling programs. A seasoned advisor, Dipanjan advises a diverse clientele, from Engineers and Architects to C-suite executives and PhDs, across Advanced Analytics, AI Strategy & Development. Recognitions include 'Top 10 Data Scientists in India, 2020', '40 under 40 Data Scientists, 2021', 'Google Developer Expert - Machine Learning, 2019', 'Top 50 AI Thought Leaders, 2022', 'Google Champion Innovator Cloud AIML, 2022', 'Top 10 AI Leaders in India, 2024', '40 Under 40, 2025', alongside global accolades including Top 100 Influential AI Voices in LinkedIn.
New to the world of Agentic AI and want to quickly get proficient in the key aspects of learning, building, deploying, evaluating and monitoring Agentic AI Systems? This is the workshop for you! In this workshop you will get a comprehensive coverage of the breadth as well as deep dive into the depth of the vast world of Agentic AI Systems. Over the course of six modules, you will spend the entire day focusing on the following key areas:
- Learn essential concepts of Generative AI, Agentic AI and Agentic RAG Systems
- Deep dive into industry standard design patterns for architecting Agentic AI Systems - Tool-Use, Reflection, Planning, Multi-Agent
- Leverage Industry-Standard frameworks including LangChain, LangGraph to build simple and advanced Agentic AI & Agentic RAG Systems
- Learn essentials of how to deploy Agentic AI Systems as APIs as well as evaluate and monitor them
While we want to keep the discussions as framework and tool-agnostic as possible, since 90% of the workshop will be hands-on focused; we will be using LangChain and LangGraph (currently the leading framework used in the industry) for most of the hands-on demos for building Agents. While the focus of the workshop is more on building Agentic AI Systems we will also showcase how you can build a basic web service or API on top of an Agent using FastAPI and deploy and monitor and evaluate it using frameworks like LangSmith.
Overall expect to learn through 12+ end-to-end hands-on demos which you can take home with you after the workshop!
Additional Points:
- Prerequisites: Solid understanding of Python. You need to know how to code. Knowledge of other areas like NLP and Generative AI will be useful
- Content Provided: Slides, complete code notebooks, datasets
- Infrastructure: Most of the hands-on demos we will do on Google Colab for the deployment and monitoring section we will provide the cloud infrastructure (mostly we will use Colab).
- Important Note: You may need to register for some platforms like Tavily, WeatherAPI etc for the workshop (no billing needed), we will send the instructions ahead of time. That will be essential for running the hands-on code demos live along with the instructor in the session
*Note: These are tentative details and are subject to change.
Read MoreManaging and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance
Read MoreManaging and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance
Read More