Building with Google's Most Advanced AI: Leveraging Gemini and Vertex AI

Übersicht

Join our comprehensive session on how to build cutting-edge AI applications using Google's Gemini model family along with the Vertex AI platform. Dive deep into their multimodal capabilities, enhance your understanding of AI reasoning, and explore enterprise-ready deployment options.

Perfect for those passionate about artificial intelligence and looking to leverage the latest advancements from Google.

Lehrplan

• Introduction to Google AI
Overview of Google’s AI initiatives
Introduction to Gemini and Vertex AI
Importance of AI in modern applications
• Understanding the Gemini Model Family
Architecture and capabilities of Gemini
Multimodal capabilities in AI
Case studies and use cases
• Overview of Vertex AI Platform
Platform features and benefits
Tools and resources available
Integration with other Google Cloud services
• Building AI Models with Vertex AI
Setting up your Vertex AI environment
Data preprocessing and management
Training and deploying models
• Leveraging Multimodal Capabilities
Understanding multimodal inputs and outputs
Implementing multimodal features in applications
Use cases for multimodal AI
• Advanced Reasoning with Gemini
Deep dive into Gemini’s reasoning capabilities
Building applications with advanced reasoning features
Best practices and optimization
• Enterprise-Ready Deployment
Scaling AI applications with Vertex AI
Security and compliance considerations
Monitoring and maintaining AI models
• Real-World Applications and Case Studies
Industry-specific examples
Successful deployment stories
• Hands-On Projects and Workshops
Guided project: Building a simple AI application with Gemini
Workshop: Using Vertex AI for a custom solution
Team project: Designing an AI system with multimodal inputs
• Future Trends and Innovations in AI
Emerging trends in AI technology
The future of Google's AI offerings
Preparing for advancements in AI research and applications
• Conclusion and Next Steps
Recap of the course highlights
Resources for further learning
Certificate of completion requirements

---

Fachgebiete

Computer Science