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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.
- Exploring the role of Vertex AI in developing and deploying machine learning solutions.
Setting Up the Vertex AI Environment
- Configuring a Google Cloud project specifically for Vertex AI.
- Understanding workspaces, resources, and access permissions.
- Preparing datasets and development environments.
- Navigating the tools and interfaces of Vertex AI.
Machine Learning Fundamentals with Vertex AI
- Understanding concepts related to 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 foundational NLP concepts.
- Understanding text-based machine learning applications.
- Preparing and processing textual data.
- Exploring the NLP capabilities available within Vertex AI.
Building and Training Machine Learning Models
- Preparing training code for use in Vertex AI.
- Containerizing machine learning training applications.
- Configuring training jobs.
- Running and monitoring the model training processes.
Deploying Machine Learning Models
- Understanding the workflows associated with model deployment.
- Creating model endpoints.
- Deploying trained models to enable predictions.
- Managing deployed models and their 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 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.
- Reviewing key features and capabilities of Vertex AI.
- Discussing next steps for advancing in machine learning development.
Requirements
- Fundamental knowledge of machine learning principles.
Target Audience
- Software engineers.
- Enthusiasts of machine learning.
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.
