What if you could create an AI assistant in less than an hour, without writing a single line of code? With Vertex AI from Google Cloud, this is not just a promise, but an accessible reality for everyone, from developers to business teams.
What is Vertex AI and why it revolutionizes AI development
Vertex AI is the platform unified by Google Cloud designed to create, train, optimize, and deploy machine learning and generative artificial intelligence models.
Offers simplified access to the latest generation models, such as the Gemini family, and integrates prototyping, orchestration, and deployment tools within a single console.
Who it is designed for:
- Companies that want to integrate AI into their processes;
- Developers who wish to work with cutting-edge LLM;
- Data scientist looking for a flexible platform with integrated MLOps;
- Marketing team, customer service, or HR who want to create no-code AI agents.
Gemini: the heart of generative AI on Vertex
The flagship of Vertex AI is the modelli multimodali Gemini, capable of understanding text, images, code, audio, and video.
With Gemini Pro and Gemini Pro Vision, it is possible to:
- Perform advanced visual analysis;
- Generate personalized textual and visual content;
- Transform images into structured data (e.g., JSON);
- Develop intelligent applications in real-time.
The Gemini models are accessible via API, testable from Vertex AI Studio, and integrable into every type of business application.
Model Garden: choose from over 160 models
The power of Vertex AI also lies in the vast library of models, accessible through Model Garden. It includes:
- Proprietary Google models (Gemini, Imagen 3);
- Third-party models (Claude di Anthropic);
- Open-source models (Gemma, Llama 3.2, Mistral, etc.).
All are customizable and optimizable for different use cases: content generation, classification, summarization, image analysis, and code.
Training: for experts and beginners
Vertex AI makes every phase of model training simple:
- AutoML: automatic training for users without technical experience;
- Personalized training: support for TensorFlow, PyTorch, and other frameworks, with full control over code and resources;
- Integrated notebooks (Colab Enterprise, Workbench): ready to use and connected to BigQuery.
Example: model training with Python
model = genai.GenerativeModel(model_name=”gemini-pro-vision”)
response = model.generate_content([“Cosa c’è in questa foto?”, img])
MLOps: manage the entire lifecycle of models
Vertex AI includes a complete suite of MLOps tools, designed for:
- Automate workflows (with Vertex Pipelines);
- Manage and version models (Model Registry);
- Reuse feature (Feature Store);
- Evaluate and monitor the performance (Model Evaluation and Monitoring).
Agent Builder: create no-code AI assistants
With Vertex AI Agent Builder, you can build conversational agents without writing code. The tool offers:
- Drag-and-drop interface for creation;
- Orchestration of prompts;
- Customization with your business data.
Perfect for chatbot, customer support, internal search engines, intelligent FAQ.
Transparent and flexible prices
The costs of Vertex AI are modular:
- Text and code generation: from $0.0001 for 1,000 characters;
- AutoML immagini: from $1,375/hour node;
- Video: from $0.462/hour node;
- Personalized training: based on hourly rates and resources used.
Consult the price calculator for detailed estimates.
Real use cases
“`html
| Company | Developed Solution | Result |
| RetailX | Chatbot Gemini for ecommerce | +35% customer satisfaction |
| HealthAI | Automatic triage system | -50% support response times |
| MediaPro | Content generation for social | +60% production speed |
“`
Conclusion: the ultimate platform to innovate with AI
Vertex AI combines power, flexibility, and simplicity. From the idea to production deployment, every phase is supported by intuitive tools, advanced models, and transparent pricing.
Anyone can create intelligent applications today. Do you want to try? Start from here.
