The #BuildingWithAI Meetup Group, in collaboration with Google for Developers, is all set for the third edition of their meet-up on May 31, 2025. This is a hands-on workshop, which is sponsored by Covasant Technologies.
This edition will spotlight essential areas in developing real-world AI systems:
Understanding LLM Observability, Bias, Drift Monitoring, and Remediation
Build With AI - Travel Agent Using MCP Toolbox for Databases and ADK
Applying Agentic AI in the Real World
Chief Technology Officer, Covasant
Chief Marketing Officer, Covasant
Google Developer Expert
Welcome and check-in, with an opportunity to connect with fellow attendees.
Brief introductions to get to know the attendees and their areas of interest.
A technical talk by ReddyRaja Annareddy on monitoring large language models and ensuring their reliability and fairness.
An interactive session focused on practical tools and techniques from Google for building GenAI solutions.
Light refreshments and informal networking to recharge and share insights.
Get a practical walkthrough of using MCP Toolbox for databases and ADK.
An informal conversation between Subhendu of Covasant Technologies and Surendra Tipparaju from Microsoft on Applying Agentic AI in the Real World.
Closing remarks and appreciation for speakers, participants, and organizers.
Understanding LLM Observability, Bias, Drift Monitoring, and Remediation
Transform LLMs from experimental tools into robust, production-grade AI systems. Attend the session to know more about:
Gain insights into tools and best practices to ensure your models stay reliable and aligned over time.
Build With AI - Travel Agent Using MCP Toolbox for Databases and ADK
Get a practical walkthrough of using MCP Toolbox for databases and ADK.
Important Note:
Professionals developing and deploying machine learning models and AI systems across various domains.
Innovators creating next-generation AI products using generative technologies like LLMs and diffusion models.
Individuals investigating autonomous AI agents and the responsible development and oversight of large language models.