ML Deployment on AWS: From Notebook to Production-Free Masterclass by AgileFever

ML Deployment using AWS
1. Learn how to take your ML model from Jupyter Notebook to real-world production using Amazon Web Services.
2. Deploy models using Amazon EC2, Amazon SageMaker and serverless options like AWS Lambda.
3. Understand real-time APIs, scaling and cost optimization.
4. Includes a hands-on live deployment demo.
Key Takeaways:
1. Deploy ML models independently on AWS
2. Create real-time prediction APIs
3. Understand cloud architecture for ML projects
4. Gain practical exposure to production workflows