ML Deployment in AWS EC2
Learn how to convert your ML models to a productionizable app. Host it in AWS EC2 instance performed live and learn all the intermediate steps, purpose behind it and best practices.
Prabhakaran SPrincipal Data Scientist
Included in All-Access, one membership for every course.
- Lessons
- 21
- Video
- 1 h 59 min
- Free to watch
- 3 lessons
- Certificate
- On completion
What you'll be able to do
- How to Productionize ML Models
- How to convert ML models to a Flask app
- Design the frontend and backend of the app
- Creating an EC2 Instance live and in detail
- Connecting to EC2 from local and transferring files
- Improve the UI of the app using Bootstrap framework
- Best practices while hosting ML apps in AWS EC2
Course content
1 chapter · 21 lessons · 1 h 59 min · 3 free to preview
01Deployment of ML Models21 lessons · 2 h 1 min
- Demo of the ML AppPreview3:39
- Download Resources1:00
- Plan of ActionPreview3:58
- Running-the-appPreview4:18
- Productionization of ML Models11:24
- Building the ML Model8:23
- HTML Frontend Basics10:25
- Starting the app1:37
- Building the Input Form10:37
- Python Flask - Backend14:12
- Course Review1:00
- Before creating AWS account3:19
- Creating an EC2 Instance10:30
- Connect to AWS EC2 from Local3:38
- Transferring the files3:06
- Install packages and run app in EC25:57
- How to use screen software to keep the app running after disconnecting termin6:05
- Better UI0:46
- Upgrading to the new UI1:59
- How to work with Bootstrap Templates9:14
- Updating the form5:43
What you need
- Basics of Python
- Foundational knowledge of Data Science
- High school maths
Who this course is for
- Data Science Aspirants
- Data Science Professionals
- Software/Data engineers interested in quantitative analysis
- Professionals working with large datasets
- Data analysts, economists, researchers
Your instructor
Prabhakaran S
Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this course!
I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.
I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!
- from 3,965 ratings
- 4.92
- learners
- 57K+
- courses
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Questions
How do I get this course?
It is part of All-Access: one membership that opens all 85 courses. The plans and prices are on our course site. You can watch the free preview lessons before you join.
Can I get a refund?
Yes. If the membership is not right for you, ask for a refund within 30 days of your first payment.
Can I learn on my phone?
Yes. Lessons play in the browser on any phone, tablet or computer, and your place is saved for the next device.
I am already a member. Where are my courses?
On our course site, edu.machinelearningplus.com. Sign in there with the email you joined with. The courses move to this site later, with your access, and you will not pay again.
