The "Build with AI" event is a full-day, hands-on training session designed to equip first- and second-year students with foundational knowledge and practical skills in Artificial Intelligence (AI). Set to take place on November 09th in the Mega Lab, this event will introduce students to a variety of cutting-edge AI tools and technologies developed by Google, allowing them to experience the exciting potential of AI firsthand.

Focused on building familiarity with AI fundamentals and practical applications, "Build with AI" aims to inspire students early in their academic journey, sparking curiosity, enhancing creativity, and strengthening problem-solving skills. Through interactive sessions and mini-projects, participants will gain insights into how AI works, explore its vast applications, and develop skills essential for future career growth in technology.

Objectives

• Introduction to AI: Familiarize students with the basics of AI, ML, and deep learning.
• Hands-On Training with Google AI Tools: Practical experience using tools like Vertex AI and Google AI Studio.
• Skill Development: Equip students with skills for industry readiness in AI technologies.
• Encouraging Innovation: Inspire students to use AI creatively to solve real-world problems.
• Collaboration and Networking: Facilitate peer-to-peer learning and engagement with industry-focused AI applications.

Agenda

1.Session 1: Hands-On with Google AI Tools

• Overview of Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI
• Introduction to Google AI Studio and Vertex AI
• Mini Project: Building a model with Google Gemini

2.Session 2: (AI Tool - Showcase) Time : 7:30 PM to 9:00PM Date : 11-11-2024

• Deep Dream - Divya J
• Teachable Machine
• Quick, Draw!
• Autodraw
• Colab Automation
• Gemini

3.Session 3: AI Tools Showcase (Online) Time : 7:30 PM to 9:00PM Date : 11-11-2024

• WaveNet
• Google Bard
• Google AI Hub
• Google DeepDream
• Google Research’s Imagen
• Vertex AI and Gemini
• Gmail Smart Compose
• Project Magenta
• AudioLM
• Phenaki
• AutoML
• BERT (Bidirectional Encoder Representations from Transformers)
• Google Duplex
• Google AutoDraw

4.Q&A and Wrap-Up