Machine Learning Operations (MLOps) Masterclass

Psitron Technologies is an IoT and AI startup. Our mission at Psitron is to connect the world with innovative technologies. Psitron has responsibility for developing innovative innovations for addressing current problems in industries, especially focusing on industry 4.0 solutions.

This is the best time to learn machine learning as the trends in the market suggest. The global machine learning market is estimated at US dollar 8.43 billion in 2019 and is expected to reach 117 billion by 2027, at a CAGR of 39.2%. Thus, job opportunities in this sector are going to grow with a boom in the coming years.

AI and machine learning are not only used in machine learning applications but also in the Internet of things, like self-driving cars, smart homes, digital assistants, etc. In fact, during COVID-19, statistical machine learning played a significant role in generating advanced models for predicting virus spread and aided in the management of the pandemic across the world. Machine learning in finance has also secured a respectable place among business leaders using technology for generating automatic models for stock management.

Artificial intelligence can no longer be considered a technology of the future it is already shaping our everyday lives. There is no doubt that we are entering the age of artificial intelligence.

Psitron Technologies Pvt. Ltd presents a workshop on Machine Learning Operations (MLOps). In this workshop, participants will be able to experience and explain the following things.

MLOps is a set of practices for collaboration and communication between data scientists and operations professionals. Applying these practices increases the quality, simplifies the management process, and automates the deployment of Machine Learning and Deep Learning models in large-scale production environments.

2 consecutive days with 4 hours of sessions each day, for a total of 8 hours consisting of theory and hands-on practical sessions.

• 6:30 PM to 11 PM IST

• 9:00 AM to 1:30 PM EST

• 3:00 PM to 7:30 PM CET

• Machine Learning Operations (MLOps) Introduction

• Getting started with AWS for Machine Learning

• AWS SageMaker

• AWS Machine Learning Operations (MLOps)

• AWS MLOps - Build, Train & deploy ML Model

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

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 *

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 *

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

1. SageMaker Studio & SageMaker domain *

2. SageMaker Projects *

3. Repositories *

4. Pipelines & Graphs *

5. Experiments *

6. Model groups *

7. Endpoints *

• 10 Hours of Training

• Service tax and VAT

• Certification

Register as a group of 2 or more and get Rs.200/- off per person on registrations.

Participants will be certified by Psitron Technologies Pvt. Ltd.

• Every participant must have one laptop of their own.

• Required Software installation assistance will be provided from Psitron

Sarathkumar.C

Founder & CEO

Psitron Technologies Pvt. Ltd.

+918940876397 / +918778033930

sarath@psitrontech.com