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Duration 14 hours
Course Outline
Introduction to Google Vertex AI
- Overview of the platform's functionality and integrated capabilities
- Core features and operational advantages for developing artificial intelligence models
- Analysis of the standard operational workflow within Vertex AI
Configuring the Google Vertex AI Environment
- Establishment of a Google Cloud account and initial platform setup
- Configuration of the environment and governance of computational resources
- Examination of the Vertex AI user interface and available utilities
Constructing AI Models Utilizing Vertex AI
- Data curation and preprocessing methodologies
- Training of proprietary AI models through the Vertex AI framework
- Assessment of model efficacy and precision metrics
Deployment and Oversight of AI Models
- Strategies for deploying AI models on the Google Cloud Platform
- Continuous monitoring and maintenance of deployed systems
Advanced Capabilities and Performance Optimization
- Application of advanced Vertex AI tools and specialized services
- Optimization of model performance tailored to specific operational needs
- Adoption of best practices for model development and release
Practical Applications and Analytical Case Studies
- Investigation of Vertex AI applications across various sectors
- Analysis of successful AI implementation examples
- Review of operational challenges and derived insights
Conclusion and Recommendations for Future Action
Requirements
- Fundamental knowledge of artificial intelligence and machine learning principles
- Proficiency in programming languages, with Python recommended
- Experience with cloud infrastructure, preferably Google Cloud Platform
Target Audience
- Software developers
- Data scientists
- Technical professionals
Testimonials (1)
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