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Duration 14 hours
Course Outline
Introduction to Vertex AI for Mobile & Web Applications
- Exploring the capabilities of Gemini within application contexts.
- Examining integration strategies using Firebase and SDKs.
- Identifying practical use cases for embedded AI solutions.
Establishing the Development Environment
- Initializing and configuring Firebase projects.
- Installing and setting up Vertex AI SDKs.
- Practical session: Setting up the development workspace.
Integrating Gemini into Applications
- Invoking Gemini APIs from client-side codebases.
- Incorporating text, image, and audio processing capabilities.
- Practical session: Developing a feature powered by Gemini.
Managing Multimodal Inputs
- Capturing and processing varied user inputs, including voice, images, and text.
- Designing interactive workflows that leverage Gemini’s capabilities.
- Practical session: Implementing a multimodal input feature.
Deploying and Monitoring Applications
- Releasing AI-enabled applications to production environments.
- Tracking performance metrics and usage patterns via Firebase.
- Practical session: Deploying and testing application stability.
Addressing Security and Compliance
- Adopting best practices for data management in AI contexts.
- Ensuring user privacy and consent mechanisms are robust.
- Practical session: Securing AI-driven features.
Case Studies and Industry Best Practices
- Reviewing real-world examples of Gemini in consumer and enterprise applications.
- Analyzing insights gained from actual implementation challenges.
- Applying best practices for building scalable AI features.
Summary and Future Directions
Requirements
- Fundamental proficiency in programming languages such as JavaScript, Kotlin, or Swift.
- Working knowledge of mobile or web application development lifecycle.
- Practical experience utilizing Firebase or other cloud-based SDKs.
Target Audience
- Mobile application developers.
- Web development professionals.
- Product management and cross-functional teams.
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