Event Participation Report – Google Build with AI Workshop (Google Developer Group, Bengaluru)
Date: 04/04/2026
Venue: Locus, Koramangala, Bengaluru - 560034.
An educational visit to the “Build with AI — Hands-on Workshop” organized by Google Developer Group Bengaluru in collaboration with Locus was undertaken along with the AWS Cloud Practitioner – CC7 batch students of Don Bosco Tech Society. The objective of the visit was to expose students to real-world Artificial Intelligence applications and demonstrate how cloud platforms are used to build and deploy AI-driven solutions.
The Workshop was conducted by experts including Mr. Mihir, Ms. Shweta Bhatt, and Mr. Mayur Madnani, who provided valuable insights into modern Artificial Intelligence concepts. The workshop was highly interactive and focused on hands-on learning, enabling participants to understand how AI solutions are designed, integrated, and deployed using cloud-based tools, which is directly relevant to the AWS Cloud Practitioner curriculum.
A key highlight of the programme was the session titled “Design AI Systems that Design Systems” delivered by Shweta Bhatt, which emphasized building intelligent, scalable systems capable of designing and optimizing other AI workflows. This concept helped the CC7 students understand the importance of scalable architecture, automation, and cloud-native design principles that are fundamental to AWS services such as compute, storage, and managed AI services.
Another engaging session, “Building Multi-Agent AI Philosophers with Gemma” by Mayur Madnani, demonstrated how multi-agent architectures collaborate, communicate, and perform complex tasks. This directly aligned with the AWS Cloud Practitioner learning outcomes, as students were able to relate these concepts to distributed computing, microservices architecture, and cloud-based orchestration used in real-world AWS deployments.
The programme commenced with an introduction to contemporary AI technologies, followed by practical sessions on agent-based systems. The speakers demonstrated how multiple intelligent agents collaborate and process information in real time. Participants were guided through hands-on implementation using Google Colab and API integrations, which helped students understand how cloud-hosted environments are used for development, testing, and deployment — concepts similar to AWS CloudShell, EC2-based development environments, and serverless workflows.
During the session, the evolution of Artificial Intelligence was discussed, tracing its journey from traditional rule-based systems to advanced agentic AI frameworks. This provided the CC7 batch students with a clear understanding of how AI workloads rely on scalable cloud infrastructure, highlighting the importance of elasticity, high availability, and managed services — key concepts covered in the AWS Cloud Practitioner course.
From a learning perspective, the workshop served as a valuable platform to bridge the gap between theoretical cloud concepts and practical AI implementation. The use of cloud-based tools emphasized the importance of infrastructure provisioning, API integration, distributed systems, and real-time data processing. These demonstrations helped students connect classroom concepts such as cloud computing models, shared responsibility, scalability, and cost optimization with real-world applications.
The AWS Cloud Practitioner CC7 batch students actively participated in the session, gaining hands-on exposure and a deeper understanding of how AI solutions are built on cloud platforms. The workshop enhanced their understanding of cloud-hosted AI applications, automation workflows, and scalable system design, which are essential skills for entry-level cloud roles.
The programme concluded with an interactive discussion and closing remarks by the speakers. The visit proved to be highly beneficial for the AWS Cloud Practitioner CC7 batch students, providing meaningful exposure to real-world AI applications, strengthening their understanding of cloud-based architectures, and motivating them to explore advanced areas such as AI on cloud, automation, and scalable cloud deployments.
