The "Build with AI" event hosted by GDG IIIT Manipur offers a unique chance for students to dive into the practical applications of artificial intelligence (AI) on Google Cloud, one of the leading platforms in the AI industry. This two-hour session, designed to ignite curiosity and empower participants with real-world tools, focuses on exploring Google Cloud’s diverse AI labs, showcasing their functionalities, and guiding students on effectively using them for AI-driven projects.

Event Overview and Purpose

"Build with AI" is tailored for students who are both new to and familiar with AI, providing exposure to Google Cloud’s vast suite of AI tools and services. The event’s goal is to familiarize participants with the end-to-end journey of AI project development using Google Cloud. In the session, students will learn about key cloud tools, get hands-on experience, and understand how these services can simplify and enhance their AI projects. As AI and cloud technology are becoming increasingly integral to modern solutions, this event is designed to equip participants with a foundation in practical AI skills that will be useful in their academic and professional pursuits.

Introduction to Google Cloud AI Tools

The core of the event lies in exploring the following Google Cloud AI tools and services, each crucial for building scalable, robust, and efficient AI applications:

AutoML: Google Cloud’s AutoML is an advanced tool that automates the process of training machine learning models. It is particularly beneficial for beginners, as it allows them to build high-quality models with minimal coding, streamlining the development cycle from data ingestion to model deployment.

BigQuery ML: This tool allows users to build and execute machine learning models directly within BigQuery using SQL. Attendees will learn how BigQuery ML simplifies predictive analytics, making it ideal for large-scale data processing and model training tasks.

Vertex AI: Vertex AI is a unified AI platform on Google Cloud that enables end-to-end machine learning workflows. This session will highlight its various capabilities, such as model training, deployment, and real-time monitoring, and demonstrate how students can leverage these features to develop and manage complex AI models.

Hands-On Labs and Practical Learning

A key highlight of "Build with AI" is the hands-on lab session, where students will interact with these tools directly. The labs are structured to provide real-time practice on cloud-based machine learning workflows, including:

Data Preparation: Attendees will work with data preprocessing tasks such as cleaning, labeling, and feature extraction, which are essential for creating accurate AI models.

Model Building and Tuning: The session will guide participants through building, training, and fine-tuning models using Google Cloud’s AutoML and Vertex AI. These labs will demonstrate the impact of various tuning parameters on model performance and accuracy.

Model Deployment and Management: Participants will also learn about deploying models on Google Cloud, making them accessible as API endpoints, and monitoring their performance through Vertex AI’s tools. This segment will help students understand how to make their models scalable and production-ready.

By providing a supportive environment with real-time feedback from mentors, the session ensures that participants leave with a clear understanding of how to utilize Google Cloud for AI tasks effectively.

Agenda and Schedule

5:00 - 5:15 pm

Welcome Address and Overview: A brief introduction to the event and an overview of the Google Cloud AI tools to be explored.

5:15 - 5:45 pm

Introduction to Google Cloud and AI Labs: An introduction to the Google Cloud platform, its infrastructure, and a walkthrough of AutoML, BigQuery ML, and Vertex AI.

5:45 - 6:30 pm

Hands-On Lab Session: A practical, interactive session where students dive into data preparation, model training, and deployment. Mentors will guide participants through building a simple yet impactful AI model using Google Cloud tools.

6:30 - 6:50 pm

Model Deployment and API Integration: Participants will learn to deploy models and make them accessible via API endpoints, enabling seamless integration into applications.

6:50 - 7:00 pm

Closing Remarks and Networking: A closing note from the organizers, followed by an open networking session for participants to connect with mentors and discuss future learning opportunities.

Benefits for Participants

"Build with AI" is designed to provide attendees with practical knowledge and hands-on experience, which can be beneficial in several ways:

Practical Cloud and AI Skills: Participants will gain firsthand experience with tools that are highly relevant in the current tech industry, particularly in fields like data science, machine learning, and cloud computing.

Networking with Experts: The event also serves as a platform to connect with mentors, experts, and other AI enthusiasts, fostering a community of learners who can support each other’s growth.

Career-Relevant Learning: Exposure to industry-standard AI tools on Google Cloud can significantly boost students’ confidence and skill sets, making them better prepared for internships, projects, and career opportunities in AI and related fields.

Outcomes and Future Prospects

The "Build with AI" event aspires to create a lasting impact by motivating students to pursue further learning in AI and cloud computing. By the end of the session, participants will have a clear understanding of how to use Google Cloud’s tools to create, deploy, and manage AI models. They will also have the foundational knowledge needed to embark on more advanced AI projects, whether in academic settings or through individual exploration.

Resources and Follow-Up

To continue the learning journey, attendees will receive access to additional resources, such as documentation, lab guides, and tutorials, allowing them to revisit and practice the tools and concepts introduced during the event. Follow-up sessions and mentorship opportunities may also be organized, depending on participant interest, to delve deeper into specific topics like advanced model tuning, data visualization, and integrating AI with cloud-native applications.

Conclusion

The "Build with AI" event hosted by GDG IIIT Manipur promises to be an enriching experience for students, equipping them with the skills and insights needed to begin their journey in AI development on Google Cloud. With a supportive environment, practical labs, and industry-relevant tools, this event is designed to inspire the next generation of innovators and problem-solvers at IIIT Manipur.