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INDIA'S NO. 1 INTERNSHIP PORTAL
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🎁INDIA'S NO. 1 INTERNSHIP PORTAL
Cloud-native AI platform offering powerful tools for machine learning, generative AI, and data science. Trusted by developers and enterprises for speed, scale, and innovation.
Unified ML workflow for training, tuning, deploying, and monitoring models in production.
Access cutting-edge models like PaLM and Gemini for text, code, and multimodal generation.
Use ready-made APIs for vision, speech, translation, and natural language understanding.
Runs on Google Cloud’s secure, high-performance infrastructure with autoscaling and GPUs.
Create a GCP project and enable billing to access AI services.
Select Vertex AI, Generative AI Studio, or pre-trained APIs based on your use case.
Train custom models with Vertex AI or use PaLM/Gemini for generative tasks.
Deploy models via endpoints and monitor performance with built-in dashboards.
Connect models to apps via REST or SDKs and scale with Kubernetes or Cloud Functions.
from google.cloud import aiplatform
# Initialize Vertex AI
aiplatform.init(project="your-project-id", location="us-central1")
# Load model
model = aiplatform.Model(model_name="text-bison@001")
# Predict
response = model.predict(instances=["Explain quantum computing in simple terms."])
print(response)Build chatbots, code assistants, and creative tools using PaLM/Gemini models.
Train and deploy models for fraud detection, forecasting, and personalization.
Combine text, image, and video inputs for rich AI experiences.
Used for medical imaging, genomics, and clinical data analysis.
Explore Google Cloud AI’s ecosystem and find the tools, platforms, and docs to accelerate your workflow.
Common questions about Google Cloud AI’s capabilities, usage, and ecosystem.