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Duration 7 hours
Course Outline
Introduction to Vertex AI and Machine Learning Platforms
- Overview of artificial intelligence and machine learning workflows
- Introduction to Google Cloud Vertex AI
- Understanding the architecture and key components of Vertex AI
- Examining the role of Vertex AI in the development and deployment of machine learning solutions
Setting Up the Vertex AI Environment
- Configuring a Google Cloud project specifically for Vertex AI
- Understanding workspaces, resource allocation, and permission management
- Preparing datasets and development environments
- Navigating the various Vertex AI tools and interfaces
Machine Learning Fundamentals with Vertex AI
- Exploring supervised learning concepts
- Overview of regression and classification models
- Preparing data for integration into machine learning workflows
- Evaluating model performance and accuracy metrics
Natural Language Processing (NLP) with Vertex AI
- Introduction to core NLP concepts
- Understanding text-based machine learning applications
- Techniques for preparing and processing text data
- Exploring the NLP capabilities offered within Vertex AI
Building and Training Machine Learning Models
- Preparing training code compatible with Vertex AI
- Containerizing machine learning training applications
- Configuring training jobs efficiently
- Running and monitoring model training processes
Deploying Machine Learning Models
- Understanding the workflow for model deployment
- Creating model endpoints for service
- Deploying trained models to handle predictions
- Managing deployed models and associated resources
Monitoring and Troubleshooting Vertex AI Solutions
- Monitoring activities during training and deployment phases
- Identifying common configuration issues
- Troubleshooting problems related to model execution
- Applying best practices to ensure reliable ML workflows
Practical Workshop and Course Review
- Constructing a complete machine learning workflow using Vertex AI
- Training and deploying a sample model end-to-end
- Reviewing key features and capabilities of Vertex AI
- Discussing next steps for advanced machine learning development
Requirements
- Foundational understanding of machine learning
Target Audience
- Software engineers
- Machine learning enthusiasts
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.
