Custom AI Solutions with Google Vertex AI

• 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

Google Vertex AI is a comprehensive machine learning platform that enables users to build, deploy, and scale AI models efficiently. It simplifies the process of developing custom AI solutions by providing integrated tools and services.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers, data scientists, and tech professionals who wish to leverage Google Vertex AI for creating and deploying custom AI models.

By the end of this training, participants will be able to:

• Understand the capabilities and features of Google Vertex AI.
• Set up and configure the Google Vertex AI environment.
• Develop and train custom AI models using Vertex AI.
• Deploy and manage AI models on Google Cloud Platform.
• Utilize Vertex AI's tools for monitoring and optimizing model performance.
• Implement best practices for AI model development and deployment.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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