Automating AWS with Boto3 Part 2: Deploying PyTorch Models
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Live "Automate Boto3 with AWS S3: 

Deploying PyTorch models to AWS Lambda"

  • Learn and do some of the advanced concepts behind AWS lambda, integrating the best of
  • DevOps and ML skillsets.

By Selva Prabhakaran

  • English

  • May 25th, Sunday - 10:30 AM IST | 22:00 PDT | 6:00 AM BST

What you will learn

01

How to Deploy a PyTorch image recognition model in the serverless AWS Lambda service.

02

Enable event triggering via S3 storage and do batch inferencing of uploaded images

03

Store the results
in S3

Course Curriculum

Requirements

  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 High school maths

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers

About the course

You will learn the following skills by the end of the course:

  • LightGBM
  • XGBoost Random
  • Forest Decision Tree
  • Logistic Regression
  • Hyperparameter
  • Tuning Feature Importance Confusion Matrix
  • ROC AUC
  • Concordance and Discordance
  • Precision Recall Curve
  • Capture Rates and Gains
  • Feature Engineering
  • Label Encoding
  • Frequency Encoding
  • Chi-Square test ANOVA test
  • Exploratory Data Analysis
  • Memory
  • Optimization
  • Data Preprocessing

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

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 & 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 an on the job experience. Hope you love it!

  • 4.8+Instructor rating

  • 200+ reviews

  • 50K+students

  • 33+ Courses