Build with AI

Name: Build with AI
Start: 2024-05-22T16:00:00+03:00
End: 2024-05-22T20:00:00+03:00
Location: CODE

CODE, Hisham Ibn Abd Al Malek, Riyadh, 11636

Build with AI is a global Google event led by GDGs, the goal is introduce developers and startups to generative AI capabilities from Google, to build faster and better products. Join us in this workshop, where you will have hands-on exposure to topics on Gemini and Prompt Engineering from our community experts.

May 22, 2024, 1:00 – 5:00 PM (UTC)

96 RSVP'd

Key Themes

AIBuild with AICloudGemini

About this event

Build with AI is a global Google event led by GDGs, the goal is introduce developers and startups to generative AI capabilities from Google, to build faster and better products.
Join us in this workshop, where you will have hands-on exposure to topics on Gemini and Prompt Engineering from our community experts.
Everyone and anyone interested in tech - from beginner developers to experienced professionals are welcome to join.

When

Wednesday, May 22, 2024
1:00 PM – 5:00 PM (UTC)

Where

CODE
Hisham Ibn Abd Al Malek
Riyadh, 11636

Agenda

1:00 PM	Introduction to Prompt Engineering	Learn about Prompt Engineering with useful tips.
1:30 PM	[Lab 1] Generative AI with Vertex AI: Prompt Design	The Vertex AI SDK for text enables you to structure prompts however you like. You can add contextual information, instructions, examples, questions, lists, and any other types of text content that you can think of. In this lab, you will learn about prompt design and various text generation use cases using the Vertex AI SDK.
2:30 PM	[Lab 2] Get Started with Vertex AI Studio	Vertex AI is a comprehensive machine learning development platform that provides both predictive and generative AI capabilities. It allows you to train, evaluate, and deploy predictive machine learning models for forecasting purposes. Additionally, you can utilize the platform to discover, tune, and serve generative AI models to produce content. Vertex AI Studio lets you quickly test and customize generative AI models so you can leverage their capabilities in your applications. It provides a variety of tools and resources including both UI (user interface) and coding examples that make it easy to start with generative AI, even if you don't have a background in machine learning. This hands-on lab guides you through Vertex AI Studio, where you'll unlock the potential of cutting-edge generative AI models. You'll explore Gemini multimodal and use it to analyze images, design prompts, and generate conversations directly on the Google Cloud console. No need for API or Python SDKs - it's all accessible through the intuitive user interface.
3:30 PM	[Lab 3] Getting Started with the Vertex AI Gemini API and Python SDK	Gemini is a family of generative AI models developed by Google DeepMind that is designed for multimodal use cases. The Gemini API gives you access to the Gemini Pro Vision and Gemini Pro models. In this lab, you will learn how to use the Vertex AI Gemini API with the Vertex AI SDK for Python to interact with the Gemini Pro (gemini-pro) model and the Gemini Pro Vision (gemini-pro-vision) model.
4:30 PM	Challenge Lab!	This is a mysterious lab that you will learn about after you complete all the previous labs, you will do it on your own without the help of the instructor and you have 30 mins to finish it. The first who completes it will get a prize.

Speakers

Areej Alghamdi

WTM

Data Scientist

Mais Alheraki

Invertase

Senior Software Engineer

Waad Alshammari

KSAA

Senior NLP researcher

Organizers

Abdulaziz Alhammadi

TechTrans

GDG Lead

Build with AI

May 22, 2024, 1:00 – 5:00 PM (UTC)

Key Themes

About this event

When

Where

Agenda

Speakers

Areej Alghamdi

Mais Alheraki

Waad Alshammari

Partner

CODE

Organizers

Abdulaziz Alhammadi

Areej Alghamdi

Mais Alheraki

Nawal Alhamwi

Hadi Alsinan

Salah Alboijan

Afnan HamId

Kumail Alawa

Loura Alfarsi

Hadi Al-Marzooq

Nema Alnajjar

Farah Al Safwan

Reem Alqershi

Ahmad Al Nasser

Danah Alnoghaither

Rahaf Almuzaini

NOUF ASIRI

Saud Bin Abdulaziz

Shaden Hamad

May 22, 2024, 1:00 – 5:00 PM (UTC)