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Course Outline
Introduction to Vertex AI and Machine Learning Platforms
- Overview of artificial intelligence and machine learning workflows relevant for government
- Introduction to Google Cloud Vertex AI
- Understanding Vertex AI architecture and key components
- Exploring the role of Vertex AI in machine learning development and deployment for government initiatives
Setting Up the Vertex AI Environment
- Configuring a Google Cloud project for Vertex AI
- Understanding workspaces, resources, and permissions
- Preparing datasets and development environments for government use
- Navigating Vertex AI tools and interfaces
Machine Learning Fundamentals with Vertex AI
- Understanding supervised learning concepts
- Overview of regression and classification models
- Preparing data for machine learning workflows aligned with government standards
- Evaluating model performance and accuracy
Natural Language Processing (NLP) with Vertex AI
- Introduction to NLP concepts
- Understanding text-based machine learning applications for government contexts
- Preparing and processing text data
- Exploring NLP capabilities within Vertex AI
Building and Training Machine Learning Models
- Preparing training code for Vertex AI in government environments
- Containerizing machine learning training applications
- Configuring training jobs
- Running and monitoring model training processes
Deploying Machine Learning Models
- Understanding model deployment workflows for government systems
- Creating model endpoints
- Deploying trained models for predictions in federal applications
- Managing deployed models and resources
Monitoring and Troubleshooting Vertex AI Solutions
- Monitoring training and deployment activities to ensure compliance
- Identifying common configuration issues in government deployments
- Troubleshooting model execution problems for operational reliability
- Applying best practices for reliable ML workflows across federal agencies
Practical Workshop and Course Review
- Building a complete machine learning workflow using Vertex AI for government use cases
- Training and deploying a sample model in a secure environment
- Reviewing key Vertex AI features and capabilities relevant to public sector needs
- Discussing next steps for advanced machine learning development within the federal context
Requirements
- Familiarity with machine learning principles
Target Audience
- Software engineering professionals
- Practitioners and stakeholders in machine learning applications for government initiatives
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.
