Introduction to Cloud Computing & AI

GDG on Campus Multimedia University

Engineering Manager, Grab

Director, ZilLearn

Tech Lead, Rakuten Viki

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�Senior Engineering Manager, Ascenda + Google Developer Expert, Google Cloud

Liu Weiyuan

“Why study

Cloud Computing?”

3 Reasons

Reason #1

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Alignment with industry trends

Reason #1 - Alignment with industry trends

Global

Malaysia

Global

Reason #1 - Alignment with industry trends

Malaysia

Reason #1 - Alignment with industry trends

“Google will invest US$2 billion in Malaysia to develop its first data centre and Google Cloud region in the country, the unit of Alphabet said on Thursday (May 30), the latest in a wave of expansion by global tech firms into Southeast Asia.”

Reason #1 - Alignment with industry trends

Reason #2

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Cloud Computing is needed for AI

“The government said the investment would advance Malaysia's digital ambitions, and the artificial intelligence (AI) capabilities and other advanced technologies would help local industry move up the global value chain.”

Reason #2 - Cloud Computing is needed for AI

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Managed tools for AI

https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders

Reason #2 - Cloud Computing is needed for AI

Managed Infrastructure for AI

Reason #2 - Cloud Computing is needed for AI

Reason #3

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Cloud Computing is in our everyday lives

(As a student, as an engineer, as a data scientist)

Interactive version at googlecloudcheatsheet.withgoogle.com

2025+ : Why spend time reinventing the wheel

when you can spend time building value for your users

“Why study

Cloud Computing?”

Hope that convinced you :P

Let’s Get Started!

Before Workshop - Setting up

Build

with AI

Setting up

1. Sign in

(with the right Google Account)

Setting up

2. Validate Details

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Correct Google Account?

(Don’t redeem to company or inactive email account!)

Email address double check

Don’t share!

Setting up

3. Accept and continue

(If you accept terms and conditions 😬)

Setting up

4. Go to console.cloud.google.com/billing

Setting up

5. Check for the Google Cloud Platform Trial Billing Account

Setting up

6. Go to console.cloud.google.com/projectcreate

Setting up

7. Create new project, with billing account as “Google Cloud Platform Trial Billing Account”

Setting up

In case you cannot select a billing account earlier

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Check console.cloud.google.com/billing/projects and make sure your project is tied to the right project

Setting up

8. To to the home page console.cloud.google.com , and search for “Vertex AI API”

9. Double check if right project, and then click “ENABLE”

Workshop Part 0 - TL;DR

Build

with AI

Learning outcomes

Workshop

• Try out Colab
• Use Gemini 2.0 Flash ⚡
• Learn from simple, multimodal, grounding, code execution use cases

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Tip #1 - “Shift”+”Enter” to progress through the cells in Colab / Jupyter Notebook

Workshop

Tip #2 - Opps I accidentally clicked a markdown cell? “Ctrl”+”Enter” to restore!

Workshop

Workshop

(If you want to self-run) Scan the following QR code

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I’ll also be running through this slidedeck and explaining along the way, so follow along my pace if you want an in-depth learning experience.

Workshop - Intro to Gemini 2.0 Flash

Build

with AI

Accessing Workshop - “Intro to Gemini 2.0 Flash”

Workshop

1. Go to URL: bit.ly/bwai-gemini-2-intro-lab

2. Select “Open in Colab”

3. Select “Copy to Drive”

Get your Project Id from “console.cloud.google.com”

Workshop

What the “async” (and coroutines)?

Workshop

https://www.jetify.com/blog/python-coroutines-and-the-cloud/

https://docs.python.org/3/library/asyncio-task.html#coroutine

Testing parameters like temperature - can use Google AI Studio

Workshop

https://aistudio.google.com/

Threshold values enum values

Workshop

https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform_v1.types.SafetySetting.HarmBlockThreshold

Function Calling

Workshop

https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/function-calling

Code Execution

Workshop

https://ai.google.dev/gemini-api/docs/code-execution

https://github.com/googleapis/python-genai/blob/fe444a5a06b747df06ab94846eed19f784fb4584/google/genai/types.py

Workshop (Extra) - Getting started with Google Generative AI using the Gen AI SDK

Build

with AI

Learning outcomes

Workshop

• Use Gemini 2.0 Flash ⚡
• Learn with simple use, multimodal use, async utility, resource monitoring, caching etc.

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Accessing Workshop

Workshop

Go to URL: bit.ly/bwai-gemini-2-sdk-lab

2. Select “Open in Colab”

3. Select “Copy to Drive”

Get your Project Id from “console.cloud.google.com”

Workshop

Gemini - Models

Workshop

https://ai.google.dev/gemini-api/docs/models

Context caching

Workshop

https://cloud.google.com/vertex-ai/generative-ai/docs/context-cache/context-cache-overview

Context caching files

Workshop

• File 1: https://storage.googleapis.com/cloud-samples-data/generative-ai/pdf/2312.11805v3.pdf
• File 2: https://storage.googleapis.com/cloud-samples-data/generative-ai/pdf/2403.05530.pdf

Batch requests file

Workshop

• File: https://storage.googleapis.com/cloud-samples-data/generative-ai/batch/batch_requests_for_multimodal_input_2.jsonl

Batch requests file - images

Workshop

• File: https://storage.googleapis.com/cloud-samples-data/generative-ai/image/office-desk.jpeg
• File: https://storage.googleapis.com/cloud-samples-data/generative-ai/image/gardening-tools.jpeg

Text Embeddings

Workshop

https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings

Text Embeddings - Models

Workshop

https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings

Thank you!

Resources

Liu Weiyuan

big-on.dev/-/weiyuan

bit.ly/weiyuan-linkedin