Introduction to AI and Machine Learning on Google Cloud

Course Certification

This course helps you prepare to take the:
Google Cloud Certified Professional Machine Learning Engineer Exam; 

Course Outline

Module 01 – AI Foundations

• Why AI?
• AI/ML framework on Google Cloud
• Google Cloud infrastructure
• Data and AI products
• ML model categories
• BigQuery ML
• Lab introduction: BigQuery ML
• Recognize the AI/ML framework on Google Cloud.
• Identify the major components of Google Cloud infrastructure.
• Define the data and ML products on Google Cloud and how they support the data-to-AI lifecycle.
• Build an ML model with BigQueryML to bring data to AI.
• Lab: Predicting Visitor Purchases with BigQuery ML

Module 02 – AI Development Options

• AI development options
• Pre-trained APIs
• Vertex AI
• AutoML
• Custom training
• Lab introduction: Natural Language API
• Define different options to build an ML model on Google Cloud.
• Recognize the primary features and applicable situations of pre-trained APIs, AutoML, and custom training.
• Use the Natural Language API to analyze text.
• Lab: Entity and Sentiment Analysis with Natural Language API

Module 03 – AI Development Workflow

• ML workflow
• Data preparation
• Model development
• Model serving
• MLOps and workflow automation
• Lab introduction: AutoML
• How a machine learns
• Define the workflow of building an ML model.
• Describe MLOps and workflow automation on Google Cloud.
• Build an ML model from end to end using AutoML on Vertex AI.
• Lab: Vertex AI: Predicting Loan Risk with AutoML

Module 04 – Generative AI

• Generative AI and workflow
• Gemini multimodal
• Prompt design
• Model tuning
• Model Garden
• AI solutions
• Lab introduction: Vertex AI Studio
• Define generative AI and foundation models.
• Use Gemini multimodal with Vertex AI Studio.
• Design efficient prompt and tune models with different methods.
• Recognize the AI ​​solutions and the embedded Gen AI features.
• Lab: Getting Started with Vertex AI Studio

Course Mode

Instructor-Led Remote Live Classroom Training;

Trainers

Trainers are GCP Official Instructors and certified in other IT technologies, with years of hands-on experience in the industry and in Training.

Lab Topology

For all types of delivery, the Trainee can access real Cisco equipment and systems in our laboratories or directly at the Cisco data centers remotely 24 hours a day. Each participant has access to implement the various configurations thus having a practical and immediate feedback of the theoretical concepts.
Here are some Labs topologies available: