Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Vertex AI and Machine Learning Platforms
- Fundamentals of artificial intelligence and machine learning workflows
- Getting acquainted with Google Cloud Vertex AI
- Understanding the architecture and core components of Vertex AI
- Examining the role of Vertex AI in developing and deploying machine learning solutions
Setting Up the Vertex AI Environment
- Configuring your Google Cloud project for Vertex AI
- Understanding workspaces, resources, and permission management
- Preparing datasets and development environments
- Navigating the tools and interfaces within Vertex AI
Machine Learning Fundamentals with Vertex AI
- Core concepts of supervised learning
- Overview of regression and classification models
- Data preparation strategies for machine learning workflows
- Assessing model performance and accuracy
Natural Language Processing (NLP) with Vertex AI
- Introduction to NLP principles
- Text-based machine learning applications
- Techniques for preparing and processing text data
- Exploring NLP capabilities within the Vertex AI platform
Building and Training Machine Learning Models
- Writing training code compatible with Vertex AI
- Containerizing machine learning training applications
- Configuring training jobs
- Executing and monitoring model training processes
Deploying Machine Learning Models
- Understanding the workflow for model deployment
- Creating model endpoints
- Deploying trained models for predictive analysis
- Managing deployed models and associated resources
Monitoring and Troubleshooting Vertex AI Solutions
- Tracking training and deployment activities
- Identifying common configuration issues
- Resolving model execution problems
- Implementing best practices for reliable ML workflows
Practical Workshop and Course Review
- Constructing a complete machine learning workflow using Vertex AI
- Training and deploying a sample model
- Reviewing key features and capabilities of Vertex AI
- Discussing pathways for advanced machine learning development
Requirements
- Familiarity with machine learning
Audience
- Software engineers
- Machine learning enthusiasts
7 Hours
Testimonials (4)
easy steps in ML
John Erick Baltazar - Globe telecom
Course - Vertex AI
Got additional knowledge about Vertex AI/ML.
Jerico Torres - Globe telecom
Course - Vertex AI
Attends to the questions very well and explain things very well
Renzt Racela - Globe telecom
Course - Vertex AI
Overall, the training was very informative, the trainer provided different use case scenario and exercises so we can be familiarized with the Vertex AI application.