| 3:00 AM | Registration & Welcome | |
| 3:45 AM | Opening Keynote | |
| 4:00 AM | Getting started with deploying apps on GKE | Speaker - Dharmesh Vaya, Sr. Enterprise Architect
In this session, you will explore and understand the fundamentals behind Google Kubernetes Engine (GKE), How it runs under the hood, what are the building blocks and when exactly you should use GKE. Also get to know by a live demo on Cluster setup, auto-scaling and how other GCP services integrate and also weave a layer of security around apps that run in GKE. Through the demo you will learn to deploy an HTTPS Web Application on GKE. |
| 4:45 AM | Up and Running with Apigee X - Google's Fully-managed API Management Platform | Speaker - Anmol Krishan Sachdeva, Hybrid Cloud Architect, Google
At the core of Digital Transformation is the API Management layer which helps with point integrations for connected experiences, modernization of internal/external applications, building developer ecosystems, developing new business models, achieving operational excellence, and a lot more. The session focuses on introducing Google's SaaS solution for Full Lifecycle API Management, named Apigee X. |
| 5:30 AM | How to grow a career with Tech Community and Remote work | Speaker - Vilsi Jain, Software Engineer at Crosscert
In this talk will be sharing How to indulge in the tech community and what are the benefits and platforms, How to make the best out of it as I observe in tier 2,3 college students are less networked with tech people, community part and missed out the opportunity, learning as community building is the most important part for career growth and upgrading the second about remote jobs, how you get it and clearing all the myths about it sharing about my learning from Open source program and experience of hackathons how to make best out of it. |
| 6:00 AM | Break | |
| 6:15 AM | Build ML models using Vertex AI - Tables | Speaker - Vaibhav Malpani, Senior Software Developer at Incedo Inc.
Vertex AI - Tables enables you to automatically build and deploy state-of-the-art machine learning models on structured data at massively increased speed and scale. |
| 7:00 AM | Building MEDdelivery on GCP | Speaker - Rahul Gautam (CTO) & Aastha Dusad (CEO) - MEDdelivery
At MEDdelivery, we are on a mission to increase the availability, accessibility, and affordability of medicines in Bharat.
We have brought this to reality by building pharma supply chain highways in the procurement and marketing space.
To bring order to this highly fragmented and unorganized supply chain - Our tech needs to be equipped with rapid development, the latest auto-scalable deployments, and powerful data storage.
We will be walking you through our challenges and solutions in these areas with our limited financial & talent support. |
| 7:30 AM | Lunch | |
| 8:30 AM | Manage Your Energy | |
| 9:00 AM | Ensuring and managing reliability of Large scale ML Systems | Speaker - Vasudev Maduri, Lead ML Engineer - Accenture AI
"Machine learning is frequently regarded as enigmatic or unfathomable. As a result, developers may prefer to work around ML-related reliability issues in their systems rather than through them. This avoidance is costly and unnecessary—any given reliability engineer may operate with systems they do not fully understand. To control risk, they employ a set of generic methodologies to comprehend the system's attributes and failure modes.
We apply this outside-in strategy to ML reliability in this talk, based on recent experiences with a large-scale ML production platform. We discuss frequent failure modes and suggest best practices for productionization based on these failure modes like System monitoring and protection against human error, and Understand data integrity requirements. Prioritize pipeline workloads for efficiency and backlog recovery. We would also further discuss about Vertex pipelines, kubeflow and tools for model reliability in production." |
| 9:45 AM | Tea Break | |
| 10:15 AM | Can We All "Have It All" ? | Speaker - Kriti Gautam, Sophomore in Banasthali Vidyapeeth, Rajasthan
I am committed for the cause of male-female equality, but let's think about what that equality really means, and how best to achieve it. We always accept the idea that the most respected and powerful people in our society are men at the top of their careers, so that the measure of male-female equality ought to be how many women are in those positions: prime ministers, presidents, CEOs, directors, managers, Nobel laureates, leaders. I think we should do everything we possibly can to achieve that goal. But that's only half of real equality, and I now think we're never going to get there unless we recognize the other half. The real equality, full equality, does not just mean valuing women on male terms. It means creating a much wider range of equally respected choices for women and for men. And to get there, we have to change our workplaces, our policies and our culture. |
| 10:45 AM | Kahoot Quiz with Swags/ Prizes | |
| 11:15 AM | Wrap up | |
