Introduction To Vertex AI Login
Vertex AI Google Cloud ka unified machine learning (ML) platform hai jo aapko ML models ko easily build, deploy, aur manage karne mein enable karta hai.
Vertex AI access karne ke liye, pehle aapko apne Google Cloud account mein login karna hoga.
See Also: What is Vertex ai
What is Vertex AI?
Vertex AI saare Google Cloud AI services ko ek single, easy-to-use platform mein combine karta hai.
Ye poore machine learning workflow ke liye tools aur services provide karta hai, data preparation aur model training se lekar model deployment aur monitoring tak.
Vertex AI ke key capabilities mein ye shamil hain:
- AutoML: Code likhne ki zaroorat bina hi automatically high-quality custom models train karo
- Custom training: Apni choice ke frameworks jaise TensorFlow aur PyTorch se models build aur train karo
- Pre-built models: Google Cloud ke vision, language, conversation, aur structured data ke liye foundation models ko discover, customize aur deploy karo
- MLOps: Integrated MLOps tools ke saath ML lifecycle ko standardize, automate aur manage karo
- Generative AI: Text, image, video, aur code generation jaise generative AI models ko access, customize aur deploy karo
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Benefits of Using Vertex AI
Vertex AI use karne ke kuch key benefits ye hain:
- Unified platform: Saare ML tools aur services ek hi jagah par, taaki collaboration aasaan ho
- MLOps capabilities: ML workflows ko efficiently manage aur automate karne mein help karta hai
- Pay-as-you-go pricing: Sirf ussi ke liye pay karna padta hai jo aap consume karte hain
- Optimized infrastructure: Better performance aur scalability ke liye Google Cloud ki infrastructure ka leverage lete hain
- Generative AI access: Kisi bhi user ko generative AI models ki power leverage karne ki permission deta hai
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How To Vertex AI Login Steps
Vertex AI access karne ke liye, pehle aapko apne Google Cloud account mein login karna hoga. Yahan step-by-step instructions hain:
1. Navigate to the Google Cloud Console
console.cloud.google.com pe jaakar apne Google Cloud account credentials se login karo. Ye aapko Google Cloud Console pe le jaayega.
2. Enable the Vertex AI API
Console mein, “Navigation menu” par click karke “APIs and Services” pe jao. “Vertex AI API” search karo aur result par click karo. Agle page par, Vertex AI API ko activate karne ke liye “Enable” par click karo.
3. Navigate to Vertex AI
API enable karne ke baad, main console menu par vaapas aao. “Artificial Intelligence” section par hover karke “Vertex AI” par click karo. Ye aapko Vertex AI console pe le jaayega.
4. Explore the Vertex AI Console
Vertex AI console platform ke saare tools aur services access karne ki permission deta hai. Aap yahan se AutoML, custom training, pre-built models, MLOps aur generative AI capabilities access kar sakte ho.
Console mein intuitive UI hai jo ML workflows ko build, deploy aur manage karne mein aasaan banata hai.
The console has an intuitive UI which makes it super easy to build, deploy, and manage ML workflows.
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Accessing Vertex AI Programmatically
Console UI use karne ke alava, aap apne applications mein Vertex AI ko programmatically bhi access kar sakte hain through:
- Client Libraries: Vertex AI popular languages ke liye client libraries provide karta hai jaise Python, Java, Go, Node.js aur aur bhi
- REST API: Low-level REST API hai jisse aap Vertex AI se interact karne waale applications bana sakte ho
- gcloud CLI: Vertex AI resources ko manage karne ke liye ek command line interface
Yahan ek code snippet hai jo dikhata hai Python client library use karke Vertex AI ko authenticate kaise kiya jata hai:
from google.cloud import aiplatform aiplatform.init( project='my-project', location='us-central1' )
The init()
method handles authentication and authorization for you.
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Advanced Authentication Methods
Vertex AI zyada secure access ke liye kuch advanced authentication methods bhi support karta hai, jaise:
- Service Accounts: Ye special accounts hain jinko fine-grained IAM roles aur permissions di ja sakti hain
- Cloud Identity-Aware Proxies (IAP): Ye user identity ke basis par applications tak access control karta hai
- Signed URLs: Inke through aap Vertex AI resources tak limited access share kar sakte ho
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Conclusion
Vertex AI mein log in karna bahut straightforward hai – bas API ko enable karo aur Google Cloud Console mein Vertex AI console pe navigate karo.
Console ek intuitive interface provide karta hai to access all of Vertex AI’s capabilities.
Aap Vertex AI ko programmatically bhi access kar sakte ho apne applications se through client libraries, REST API, aur gcloud CLI.
Extra security ke liye, Vertex AI advanced authentication methods jaisa service accounts, IAP aur signed URLs ko bhi support karta hai.
Is unified and secure access ke through Vertex AI, aap easily apne AI applications ke liye machine learning models build, deploy aur manage kar sakte ho.