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Course Outline
Introduction to Vertex AI and Machine Learning Platforms
- Survey of artificial intelligence and machine learning workflows
- Overview of Google Cloud Vertex AI
- Comprehension of Vertex AI architecture and essential components
- Examining the role of Vertex AI in the development and deployment of machine learning solutions
Establishing the Vertex AI Environment
- Configuring a Google Cloud project for Vertex AI usage
- Understanding workspaces, resources, and permissions
- Preparing datasets and development environments
- Navigating Vertex AI tools and interfaces
Machine Learning Fundamentals with Vertex AI
- Understanding the principles of supervised learning
- Overview of regression and classification models
- Preparing data for integration into machine learning workflows
- Evaluating model performance and accuracy
Natural Language Processing (NLP) with Vertex AI
- Introduction to NLP concepts
- Understanding text-based machine learning applications
- Preparing and processing textual data
- Exploring NLP capabilities within the Vertex AI ecosystem
Constructing and Training Machine Learning Models
- Preparing training code for Vertex AI
- Containerizing machine learning training applications
- Configuring training jobs
- Executing and monitoring model training processes
Deploying Machine Learning Models
- Understanding the workflows for model deployment
- Creating model endpoints
- Deploying trained models for prediction tasks
- Managing deployed models and associated resources
Monitoring and Troubleshooting Vertex AI Solutions
- Monitoring training and deployment activities
- Identifying common configuration issues
- Troubleshooting problems related to model execution
- Applying best practices for reliable machine learning workflows
Practical Workshop and Course Review
- Building a complete machine learning workflow using Vertex AI
- Training and deploying a sample model
- Reviewing key Vertex AI features and capabilities
- Discussing next steps for advanced machine learning development
Requirements
- Familiarity with machine learning principles
Target 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.
