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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
- Familiarization with Google Cloud Vertex AI
- Understanding the architecture and core components of Vertex AI
- Exploring how Vertex AI supports machine learning development and deployment
Setting Up the Vertex AI Environment
- Configuring a Google Cloud project for Vertex AI integration
- Understanding workspaces, resource allocation, and permission management
- Preparing datasets and setting up development environments
- Navigating the various tools and interfaces within Vertex AI
Machine Learning Fundamentals with Vertex AI
- Grasping the concepts of supervised learning
- Overview of regression and classification model types
- Data preparation techniques for machine learning pipelines
- Methods for evaluating model performance and accuracy
Natural Language Processing (NLP) with Vertex AI
- Introduction to core NLP principles
- Understanding text-based machine learning applications
- Techniques for preparing and processing text data
- Exploring the NLP-specific capabilities offered by Vertex AI
Building and Training Machine Learning Models
- Preparing training code optimized for Vertex AI
- Containerizing machine learning training applications
- Configuring specific training job parameters
- Executing and monitoring model training processes
Deploying Machine Learning Models
- Understanding the standard model deployment workflow
- Creating and managing model endpoints
- Deploying trained models to serve predictions
- Administering deployed models and associated resources
Monitoring and Troubleshooting Vertex AI Solutions
- Monitoring ongoing training and deployment activities
- Identifying and resolving 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
- Hands-on session: training and deploying a sample model
- Reviewing key features and capabilities of Vertex AI
- Discussing pathways for advanced machine learning development
Requirements
- Foundational knowledge of machine learning
Target Audience
- Software engineers
- Professionals with an interest in machine learning
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.
