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Course Outline
Introduction to Google Vertex AI
- Overview of Google Vertex AI capabilities and functionality
- Key features and advantages for artificial intelligence model development
- Understanding the Vertex AI operational workflow
Establishing Google Vertex AI
- Creating a Google Cloud account and initializing Vertex AI services
- Configuring the operating environment and managing computational resources
- Exploring the Vertex AI interface and available tools
Developing Artificial Intelligence Models with Vertex AI
- Data preparation and preprocessing methodologies
- Training custom artificial intelligence models using Vertex AI
- Evaluating model performance metrics and accuracy
Deploying and Managing Artificial Intelligence Models
- Deployment strategies for artificial intelligence models on the Google Cloud Platform
- Monitoring and maintaining deployed model infrastructure
- Scaling artificial intelligence solutions to meet operational demand
Advanced Features and Optimization
- Utilizing Vertex AI advanced tools and services for government applications
- Optimizing model performance for specific operational use cases
- Implementing best practices for model development and deployment
Real-World Applications and Case Studies
- Exploring use cases of Vertex AI across various industries
- Case studies demonstrating successful artificial intelligence implementations
- Discussion on challenges encountered and lessons learned
Summary and Next Steps
Requirements
- Foundational knowledge of artificial intelligence and machine learning principles
- Proficiency in programming languages, with Python as the preferred option
- Operational experience with cloud infrastructure, specifically Google Cloud Platform
Audience
- Software engineers
- Analytics specialists
- Technology practitioners
14 Hours
Testimonials (1)
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