1 day course 
Supporting material 
Private Course Credits
Select the pre-paid training investment that’s right for you and help your money stretch a little further with our course credits.
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.
Course overview
Who should attend:
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.
What you'll learn:
By the end of this course, you will be able to:
- Recognise the data-to-AI technologies and tools provided by Google Cloud
- Build generative AI projects by using Gemini multimodal, efficient prompts, and model tuning
- Explore various options for developing an AI project on Google Cloud
- Create an ML model from end to end by using Vertex AI
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.
Course agenda
- Define the course goal
- Recognise the course objectives
- Why AI?
- AI/ML framework on Google Cloud
- Google Cloud infrastructure
- Data and AI products
- ML model categories
- BigQuery ML
- AI development options
- Pre-trained APIs
- Vertex AI
- AutoML
- Custom training
- ML workflow
- Data preparation
- Model development
- Model serving
- MLOps and workflow automation
- How a machine learns
- Generative AI and workflow
- Gemini multimodal
- Prompt design
- Model tuning
- Model Garden
- AI solutions