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Starts 23 June 2025 20:16

Ends 23 June 2025

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

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.
AICamp via YouTube

AICamp

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51 minutes

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Overview

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.

Syllabus

  • 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

Subjects

Computer Science