Machine Learning on Google Cloud
The Machine Learning on Google Cloud course is designed to teach students how to build, train, and deploy machine learning models using Google’s Vertex AI platform, without writing a single line of code. During the course, students will learn how to create models with Vertex AI AutoML and BigQuery ML, manage datasets with Vertex AI Managed Datasets, and add features to the Feature Store. They will be introduced to tools such as Analytics Hub, Dataplex, and Data Catalog, and learn how to use parameter tuning using Vertex Vizier to improve model performance. The course covers creating notebooks managed by Vertex AI Workbench and preparing custom training jobs using Docker containers. Students will also gain knowledge of batch and online predictions, model monitoring, and data quality. Key technologies covered include TensorFlow, Keras, tf.data, and Keras APIs for building models. The course helps prepare students for the Google Professional Machine Learning Engineer Certification exam .
Course Objectives
Below is a summary of the main objectives of the Machine Learning on Google Cloud Course :
- Build, train, and deploy machine learning models without writing code using Vertex AI AutoML.
- Use BigQuery ML to build and train models with SQL.
- Manage datasets and features with Vertex AI Managed Datasets and Feature Store.
- Optimize models by tuning parameters with Vertex Vizier.
- Implement scalable machine learning models using TensorFlow and Keras.
- Integrate machine learning models into applications with Vertex AI endpoints.
- Monitor and evaluate model performance using Google Cloud’s tools.
- Implement best practices for machine learning model lifecycle management.
Course Certification
This course helps you prepare to take the:
Google Cloud Certified Professional Machine Learning Engineer Exam;
Course Outline
Module 1: Introduction to AI and Machine Learning on Google Cloud
- AI Foundations
- AI Development Options
- AI Development Workflow
- Generative AI
Module 2: Launching into Machine Learning
- Improve data quality
- Exploratory Data Analysis
- Regression
- Classification
- Train AutoML Models using Vertex AI
- Optimization
- Train AutoML Models using BQML
- Generalization
- Sampling
Module 3: TensorFlow on Google Cloud
- Design and build a TensorFlow 2.x input data pipeline
- Build, train and deploy machine learning models using TF/Keras
- keras preprocessing layers
Module 4: Feature Engineering
- Purpose of feature engineering and how it helps to improve model performance
- Introduction to Vertex AI Feature Store
Module 5: Machine Learning in the Enterprise
- Understanding the ML Enterprise Workflow
- Data in the Enterprise; Data Management & Governance
- Data Preprocessing Options
- Training ML models using Vertex AI AutoML
- Science of ML and Custom Training
- Vizier Hyperparameter tuning
- Building a Vertex AI Pipeline
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:
Course Details
Course Prerequisites
Attendance at the Google Cloud Big Data and Machine Learning Fundamentals course is recommended .
Course Duration
Intensive duration 5 days
Course Frequency
Course Duration: 5 days (9.00 to 17.00) - Ask for other types of attendance.
Course Date
- Machine Learning on Google Cloud Course (Intensive Formula) – 13/01/2025 – 09:00 – 17:00
- Machine Learning on Google Cloud Course (Intensive Formula) – 10/03/2025 – 09:00 – 17:00
- Machine Learning on Google Cloud Course (Intensive Formula) – 12/05/2025 – 09:00 – 17:00
- Machine Learning on Google Cloud Course (Intensive Formula) – 07/07/2025 – 09:00 – 17:00
Steps to Enroll
Registration takes place by asking to be contacted from the following link, or by contacting the office at the international number +355 45 301 313 or by sending a request to the email info@hadartraining.com
