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Course Outline
Introduction to Google Vertex AI
- Overview of Google Vertex AI and its capabilities
- Key features and benefits for AI model development
- Understanding the Vertex AI workflow
Setting Up Google Vertex AI
- Creating a Google Cloud account and setting up Vertex AI
- Configuring the environment and managing resources
- Exploring Vertex AI's interface and tools
Developing AI Models with Vertex AI
- Data preparation and preprocessing techniques
- Training custom AI models using Vertex AI
- Evaluating model performance and accuracy
Deploying and Managing AI Models
- Deployment strategies for AI models on Google Cloud Platform
- Monitoring and maintaining deployed models
- Scaling AI solutions to meet demand
Advanced Features and Optimization
- Utilizing Vertex AI's advanced tools and services
- Optimizing model performance for specific use cases
- Implementing best practices for model development and deployment
Real-World Applications and Case Studies
- Exploring use cases of Vertex AI in various industries
- Case studies of successful AI implementations
- Discussion on challenges and lessons learned
Summary and Next Steps
Requirements
- Basic understanding of AI and machine learning concepts
- Familiarity with programming languages (Python recommended)
- Experience with cloud platforms (Google Cloud Platform preferred)
Audience
- Developers
- Data scientists
- Tech professionals
14 Hours
Testimonials (1)
Responses with solutions and practical use.