Learn Machine Learning Operations (MLOps) the hands-on way at just ₹1999/-. 😌

Master MLOps, one of the most in-demand skills in the ML and AI industry today!

Two days of complete hands-on and certificate Masterclass on Machine Learning Operations (MLOps) to help you learn to design ML Pipelines and to build, train and deploy ML models in a real-time production environment.

Workshop Curriculum:
(Note: * represents hands-on experience. Download Curriculum: https://bit.ly/mlops-curriculum)

A. Machine Learning Operations (MLOps) Introduction
1. What is MLOps?
2. MLOps Motivation
3. MLOps Components
4. Automated ML pipelines vs CI/CD ML pipelines
5. Different Roles involved in MLOps (ML Engineering + Operations)
6. Machine Learning Life Cycle
7. MLOps Vs DevOps
8. Different tools for MLOps
9. Benefits Of AWS MLOps

B. Getting started with AWS for Machine Learning
1. Tour of AWS cloud platform *
2. AWS Machine Learning & AI Platforms services
3. Amazon S3 introduction
4. Amazon S3 for Machine Learning *
5. Creating your first S3 Bucket *

C. AWS SageMaker
1. Introduction to Amazon Sagemaker
2. Using Amazon S3 along with Sagemaker *
3. Amazon SageMaker Notebooks and SDK *
4. Notebook instance type, IAM Role & VPC *
5. Build, Train & deploy ML Model using TensorFlow *
6. Endpoint & Endpoint configurations *
7. Generate inference from deployed model *

D. AWS Machine Learning Operations (MLOps)
1. Introduction Sagemaker pipelines
2. AWS CodeCommit *
3. AWS CodePipeline
4. AWS CodeBuild *
5. Containers for Amazon SageMaker
6. AWS MLOps - ML Model Monitoring
7. AWS MLOps - Amazon Sagemaker Feature Store
8. AWS MLOps - Post Deployment Challenges

E. AWS MLOps - Build, Train & deploy ML Model
1. SageMaker Studio & SageMaker domain *
2. SageMaker Projects *
3. Repositories *
4. Pipelines & Graphs *
5. Experiments *
6. Model groups *
7. Endpoints *

Why you shouldn't miss this Masterclass?
 • 15+ hands-on exercises.
 • 2 Real-life industry projects.
 • Dedicated mentoring sessions from industry experts.
 • 10 hours session consisting of theory + Hands-on.

Schedule: 6th and 7th August 2022.

✍🏼 Highlights of this Masterclass:
•Machine Learning Operations (MLOps) Introduction
•Getting started with AWS for Machine Learning
•AWS SageMaker
•AWS MLOPs Tools
•AWS MLOps - Build, Train & deploy ML Model

Workshop fee: Rs. 1999 (including taxes).

🦾 Register soon: https://bit.ly/AWS-MLOps