Introduction to AI and Machine Learning on Google Cloud
This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects.
Book this courseCourse Overview
1 day course
Certificate of Attendance
Private
Partner of the Year
Jellyfish is an award-winning Google Cloud Partner. Our trainers work with Google Cloud on a daily basis, so you'll benefit from the years of industry experience they’ll share with you.
This one-day course explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions.
It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.
This Introduction to AI and Machine Learning on Google Cloud course is available as a private session that can be delivered virtually or at a location of your choice in the UK.
What you'll learn
By the end of this course, you will be able to:
Recognize the data-to-AI technologies and tools provided by Google Cloud
Explore various options for developing an AI project on Google Cloud
Build generative AI projects by using Gemini multimodal, efficient prompts, and model tuning
Create an ML model from end to end by using Vertex AI
Course agenda
Module 1: Course Introduction
- Define the course goal
- Recognize the course objectives
Module 2: AI Foundations
- Why AI?
- AI/ML framework on Google Cloud
- Google Cloud infrastructure
- Data and AI products
- ML model categories
- BigQuery ML
Module 3: AI Development Options
- AI development options
- Pre-trained APIs
- Vertex AI
- AutoML
- Custom training
Module 4: AI Development Workflow
- ML workflow
- Data preparation
- Model development
- Model serving
- MLOps and workflow automation
- How a machine learns
Module 5: Generative AI
- Generative AI and workflow
- Gemini multimodal
- Prompt design
- Model tuning
- Model Garden
- AI solutions
Who it's for
This course is ideal for professional AI developers, data scientists, and ML engineers who want to build predictive and generative AI projects on Google Cloud.
Prerequisites
In order to get the most out of this session, you should have basic knowledge of machine learning concepts. Prior experience with programming languages such as SQL and Python is valuable but not essential.
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