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Overview
Deploy ML Model with ViT, BERT and TinyBERT HuggingFace Transformers with Streamlit, FastAPI and Docker at AWS What you'll learn: Deploy Machine Learning Models with FastAPI: Learn to build and deploy RESTful APIs for serving ML models efficiently.Master Cloud-Based ML Deployments with AWS: Gain hands-on experience deploying, managing, and scaling ML models on AWS EC2 and S3.Automate ML Operations with Boto3 and Python: Automate cloud tasks like instance creation, data storage, and security configuration using Boto3.Containerize ML Applications Using...
Syllabus
- Introduction
- Introduction to ML Ops and Pipeline
- Introduction to AWS Services
- Managing AWS EC2 Servers with Boto3
- Managing AWS S3 with Boto3
- Sentiment Classification using TinyBERT Transformer
- Disaster Tweets Classification using TinyBERT Transformer
- Human Pose Image Classification using Vision Transformers (ViT)
- Deploy ML Model at Streamlit Server
- ML Model Deployment with Streamlit at AWS EC2 Server
Instructor
Laxmi Kant | KGP Talkie
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