Machine Learning Operations (MLOps) Masterclass
Mar 11 - 12 '23 | 06:30 PM (IST)
Online Event
Event Information
Masterclass Curriculum:
Machine Learning Operations (MLOps) Introduction
- What is MLOps?
- MLOps Motivation
- MLOps challenges
- MLOps challenges similar to DevOps
- MLOps Components
- Automated ML pipelines vs CI/CD ML pipelines
- Different Roles involved in MLOps (ML Engineering + Operations)
- Machine Learning Life Cycle
- MLOps Vs DevOps
- Different tools for MLOps
- Benefits Of AWS MLOps
Getting started with AWS for Machine Learning
- Tour of AWS cloud platform [Hands-on]
- The AWS ML Stack
- AWS SageMaker
- AWS AI services
Amazon S3
- Amazon S3 introduction
- Amazon S3 for Machine Learning [Hands-on]
- Creating your first S3 Bucket [Hands-on]
- Storage Class in Amazon S3
- S3 Lifecycle, S3 Encryption & S3 Security
AWS SageMaker
- Introduction to Amazon Sagemaker
- Using Amazon S3 along with Sagemaker [Hands-on]
- Built-in algorithms
- Amazon Elastic Container Service (Amazon ECS)
- Amazon SageMaker Notebooks and SDK [Hands-on]
- Notebook instance type, IAM Role & VPC [Hands-on]
- Build, Train & deploy ML Model using TensorFlow [Hands-on]
- Endpoint & Endpoint configurations [Hands-on]
- Generate inference from deployed model [Hands-on]
CI/CD Tools in AWS
- AWS CodeCommit [Hands-on]
- AWS CodePipeline [Hands-on]
- AWS CodeBuild [Hands-on]
Sagemaker Studio tools
- Introduction Sagemaker pipelines
- Containers for Amazon SageMaker
- AWS MLOps - ML Model Monitoring [Hands-on]
- AWS MLOps - Amazon Sagemaker Feature Store
- AWS MLOps - Post-Deployment Challenges
AWS MLOps - Build, Train & deploy ML Model
1. SageMaker Studio & SageMaker domain [Hands-on]
2. SageMaker Projects [Hands-on]
3. Repositories [Hands-on]
4. Pipelines & Graphs [Hands-on]
5. Experiments [Hands-on]
6. Model groups [Hands-on]
7. Endpoints [Hands-on]
What is MLOps?
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.
Highlights of the Masterclass:
- Machine Learning Operations (MLOps) Introduction
- Getting started with AWS for Machine Learning
- Amazon S3
- AWS SageMaker
- CI/CD Tools in AWS
- Sagemaker Studio tools
- AWS MLOps - Build, Train & deploy ML Model
Do you know?
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 aid 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.
About Masterclass:
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.
About Psitron Technologies:
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.
Duration:
2 consecutive days with 4 hours of sessions each day, for a total of 8 hours consisting of theory and hands-on practical sessions.
Schedule:
Note: All sessions are on Weekends
Date & Time:
Sat 11th - Sun 12th March
- 6:30 PM - 11 PM IST
- 8:00 AM - 12:30 PM EST
- 2:00 PM - 6:30 PM CET
Program price includes:
• 10 Hours of Training
• Service tax and VAT
• Certification
Group Discount:
Register as a group of 2 or more and get 10% OFF per person on registrations.
Certification:
Participants will be certified by Psitron Technologies Pvt. Ltd.
Rules and Requirements:
• Every participant must have one laptop of their own.
• Required Software installation assistance will be provided from Psitron
For more information contact.
Sarathkumar. C
Founder & CEO
Psitron Technologies Pvt. Ltd.
+918940876397 / +918778033930
sarath@psitrontech.com
P.S. - Today, don't play it safe, play it smart.
Have a question?
Send your queries to the event organizer
CONTACT ORGANIZER
Host Virtual Events with
Townhall Learn More
Townhall Learn More