The Developing with Gemini and Vertex AI training course enables developers and technical professionals to learn how to build generative AI applications within the Google Cloud environment. It covers how to use Gemini in Vertex AI, structure model calls, integrate grounding, manage context and prepare production-ready enterprise applications.
An advanced training course to expand your skills into the Google ecosystem
During this training course, participants discover how to connect to Vertex AI, interact with Gemini models, structure application workflows, prepare generation and question-answering use cases, and understand the fundamentals of grounding, function calling and tuning.
Module 1: Understanding Gemini and Vertex AI
Module 2: Getting Started with Vertex AI
Module 3: Developing Applications with Gemini
Module 4: Grounding and Contextual Enrichment
Module 5: Customization, Security and Quality
Module 6: Use Cases and Architecture
Gemini is the family of artificial intelligence models developed by Google DeepMind. Vertex AI is the Google Cloud platform that provides access to these models and enables building complete AI applications. The native integration with the Google ecosystem gives this combination a unique advantage for organizations already using Google services.
Mastering Gemini and Vertex AI is a strategic skill for developers working within the Google Cloud ecosystem.
Gemini stands out through its native multimodal capabilities. The model can simultaneously process text, images, audio and video, opening unique possibilities for applications that combine different data types. The quality of visual understanding and the accuracy of multimodal analysis are among the best on the market.
Integration with Google Search allows Gemini to provide up-to-date information, a significant advantage for applications requiring recent data.
Vertex AI offers an integrated environment for the entire AI application lifecycle. The Model Garden provides access to hundreds of pre-trained models. ML pipelines automate development workflows. Endpoints manage deployment and scaling in production.
The platform also supports open source models, allowing you to combine the power of Gemini with specialized models or custom solutions based on project requirements.
Developing with the Gemini API follows patterns similar to other language model APIs, with specific features. Multimodal processing, grounding with Google Search, function calls and structured generation are distinctive capabilities to master.
Integration with other Google Cloud services such as BigQuery, Cloud Storage and Pub/Sub enables building complete AI architectures that leverage the entire Google ecosystem.
Google Cloud has a region in Switzerland that allows data and processing to be localized on Swiss territory. This availability is decisive for organizations subject to data localization requirements.
ITTA trains French-speaking Swiss developers in Geneva and Lausanne on Gemini and Vertex AI, with a hands-on approach focused on building AI applications that leverage the specific strengths of the Google ecosystem.
The Swiss AI application development market is experiencing sustained growth. Technology companies, startups, financial institutions and international organizations are actively seeking developers capable of building intelligent solutions. AI development skills with Python, language model APIs and frameworks like LangChain are among the most in-demand skills on the job market in French-speaking Switzerland.
The presence of AWS, Google and Azure cloud regions in Switzerland facilitates the development and deployment of AI applications that comply with local data protection requirements. Developers trained on these platforms benefit from direct access to the necessary infrastructure and active technical communities in French-speaking Switzerland. This dynamic creates a favorable ecosystem for innovation and career development in the AI field.
Developers trained in Gemini and Vertex AI have a complete mastery of the Google Cloud AI ecosystem. They are able to build sophisticated multimodal applications that leverage the specific strengths of Gemini. This expertise is particularly valued in organizations that have chosen Google Cloud as their primary platform, an increasingly common choice in Switzerland thanks to the availability of a local region.
Mastering Gemini and Vertex AI is a strategic asset for developers looking to fully leverage the advanced multimodal capabilities of the Google Cloud platform in their professional artificial intelligence projects.
Do I need to know Google Cloud for this training?
A basic knowledge of Google Cloud is recommended. The training covers the specific services needed for AI development, but familiarity with the console and cloud concepts facilitates learning.
Is Gemini better than GPT or Claude?
Each model has its strengths. Gemini excels in multimodal processing and Google integration. The choice depends on the use case, the technology ecosystem and the specific requirements of the project.
Can Gemini be used for free?
The Gemini API offers a free tier with request limits. For production use, a Google Cloud account with billing enabled is required. Pricing is competitive compared to alternatives.
Does Vertex AI support models other than Gemini?
Yes, the Vertex AI Model Garden provides access to hundreds of models, including open source models such as LLaMA, Mistral and specialized models. This flexibility allows you to choose the best model for each task.
Does data stay in Switzerland with Vertex AI?
Yes, the Google Cloud region in Zurich ensures data localization in Switzerland. Proper configuration of projects and services is covered in the training.
Monday to Friday
8:30 AM to 6:00 PM
Tel. 058 307 73 00
ITTA
Route des jeunes 35
1227 Carouge, Suisse
Monday to Friday, from 8:30 am to 06:00 pm.
