Begin your AI journey with this beginner-friendly workshop designed for researchers and academics. If you have little to no prior coding experience, this session is for you. We will focus on the core Python concepts essential for understanding the language-of-choice for modern AI workloads. We will explore fundamental concepts you will need for AI-powered research starting with setting up our technical environment and foundational Python. Expect a friendly pace with hands-on, live-coding demonstrations.

In this 2-hour virtual session, you will:

• Set up your environment: Learn how to configure an AI-enabled Python environment using Google Colab.

• Learn Python basics: Understand syntax, core data types, and basic control flow.

• Work with scientific data: Import and explore common datasets (like CSVs) using Pandas.

• Connect to AI: Generate and configure your Google AI Studio API key to prepare for AI integrations.

Who should attend:

PhD students, researchers, industry professionals, anyone looking to accelerate your work with AI. Use case will be grounded in typical scientific workloads.

Check out all of the AI for Science, Build with AI series:

• May 7: Python and AI fundamentals

• May 14: Tailoring LLMs: RAG and Fine-Tuning

• May 21: AI Agents for Research

• May 28: AI-Assisted Research with Antigravity
  

Come to one or all sessions, everybody welcome! You will need to register for each event.

Requirements:

• A Google account to use Google Colab.

• The knowledge gained in this session is a prerequisite for the rest of the series.

• Bonus - free cloud credits for every attendee!
  

Course Content:

• https://gdgaiforscience.github.io/Build-with-AI/

As our speaker is donating their time, we want to ensure a full and engaged event. Please reserve your spot only if you are committed to joining us for this workshop.