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Duration 14 hours
Course Outline
Introduction to Vertex AI for Mobile & Web Applications
- Overview of Gemini’s capabilities within applications
- Integration pathways using Firebase and SDKs
- Key use cases for embedded AI solutions
Configuring the Development Environment
- Setting up and configuring Firebase projects
- Installing and configuring Vertex AI SDKs
- Practical lab: Environment setup
Integrating Gemini into Applications
- Invoking Gemini APIs from client-side applications
- Incorporating text, image, and audio functionalities
- Practical lab: Developing a Gemini-powered feature
Managing Multimodal Inputs
- Capturing and processing user inputs (voice, image, text)
- Designing interactive workflows with Gemini
- Practical lab: Implementing multimodal input features
Application Deployment and Oversight
- Rolling out AI-enhanced applications to production
- Tracking performance and usage via Firebase
- Practical lab: Deployment and testing procedures
Security and Compliance Insights
- Best practices for data management in AI features
- Ensuring user privacy and consent within apps
- Practical lab: Securing AI functionalities
Case Studies and Best Practices
- Examples of Gemini in consumer and enterprise contexts
- Key insights from real-world deployments
- Strategies for scaling AI features within applications
Wrap-up and Future Directions
Requirements
- Foundational programming skills in JavaScript, Kotlin, or Swift
- Understanding of mobile or web application development
- Practical experience with Firebase or cloud-based SDKs
Target Audience
- Mobile application developers
- Web developers
- Product development teams
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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