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Duration 7 hours
Course Outline
Introduction to Vertex AI and Machine Learning Platforms
- An overview of artificial intelligence and machine learning workflows
- Getting started with Google Cloud Vertex AI
- Exploring the architecture and core components of Vertex AI
- The role of Vertex AI in streamlining machine learning development and deployment
Setting Up the Vertex AI Environment
- Configuring a Google Cloud project specifically for Vertex AI
- Understanding the management of workspaces, resources, and permissions
- Preparing datasets and setting up development environments
- Navigating the various Vertex AI tools and user interfaces
Machine Learning Fundamentals with Vertex AI
- Deep dive into supervised learning concepts
- An overview of regression and classification models
- Data preparation strategies for machine learning workflows
- Evaluating model performance and ensuring accuracy
Natural Language Processing (NLP) with Vertex AI
- Fundamentals of NLP concepts
- Understanding applications of text-based machine learning
- Techniques for preparing and processing text data
- Exploring the integrated NLP capabilities within Vertex AI
Building and Training Machine Learning Models
- Structuring training code optimized for Vertex AI
- Containerizing machine learning training applications
- Configuring efficient training jobs
- Executing and monitoring the model training lifecycle
Deploying Machine Learning Models
- Understanding the various model deployment workflows
- Creating and managing model endpoints
- Deploying trained models for real-time predictions
- Administering deployed models and associated resources
Monitoring and Troubleshooting Vertex AI Solutions
- Tracking training and deployment activities
- Identifying and resolving common configuration issues
- Troubleshooting challenges in model execution
- Implementing best practices for reliable and scalable ML workflows
Practical Workshop and Course Review
- Constructing a complete machine learning workflow using Vertex AI
- Hands-on training and deployment of a sample model
- Reviewing critical Vertex AI features and capabilities
- Discussing pathways for advanced machine learning development
Requirements
- Familiarity with machine learning principles
Target Audience
- Software engineers
- Enthusiasts and professionals in the machine learning field
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.
