AWS Sagemaker Hands on Training
Master AWS Sagemaker by Building Real World Projects
IT and Software ,IT Certifications,Amazon AWS
Lectures -119
Resources -1
Duration -6.5 hours
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Course Description
Master AWS Sagemaker by Building Real-world Projects
A well-groomed knowledge of the complete AWS Machine Learning ecosystem is required and SageMaker is one of the Most Important components of it.
This course includes real World Projects which enables you to learn and Solidify your concept on Sagemaker.
In this course you will learn:
General Overview of SageMaker
Breast Cancer Classification Using XgBoost
Predicting House Price using Linear Regression
Using KNN for MNIST SIGN Language
Object Detection
Dimension Reductionality using PCA
Recommender System using Factorization Machine
DeepAR for Time Series Forecasting
Blazing Text for Word2Vec
Hosting Custom Model on Credit Card Fraud Detection on Sagemaker
Other Built-in Algorithms
Hyper Parameter Tuning
AWS Lambda Basics
Integration and Deployment Options
We know that you're here because you value your time and Money. By taking this course, you can be assured that the course will explain everything in detail and if there are any doubts in the course, we will answer your doubts in less than 12 hours.
All the project Files are available for you.
So, What are you waiting for? Go Click on the Buy button and let's explore this exciting journey.
Goals
- Learn about Different Built-in Algorithm like XgBoost, Deep AR, Linear Learner, and Factorization Machines on SageMaker
- Learn To Deploy custom Machine learning algorithms on SageMaker
- Learn to implement Real-world Machine Learning Problems on SageMaker
- Learn to do Hyper Parameter Tuning on SageMaker
- Learn to Deploy Sagemaker Models using Lambda and API Gateway
Prerequisites
- Basic Machine Learning
- AWS Account

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
2 Lectures
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Introduction 02:40 02:40
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Course Files
General Overview of SageMaker
6 Lectures

Prerequisite of Sagemaker
3 Lectures

Basic of Implementing ML Model on Sagemaker
3 Lectures

CLASSIFICATION PROJECT : Breast Cancer Classification
13 Lectures

Predicting House Price using Linear Regression
9 Lectures

Using KNN in Sagemaker
6 Lectures

Object Detection
6 Lectures

Dimension Reductionality using PCA
7 Lectures

Blazing Text for Word2Vec
7 Lectures

Recommender System using Factorization Machine
5 Lectures

DeepAR for TimeSeries Forecasting
1 Lectures

Custom Model on Sagemaker - Fraud Detection
9 Lectures

Other Built-in Algorithms
8 Lectures

Hyper Parameter Tuning
4 Lectures

AWS Lambda Basics
4 Lectures

Integration and Deployment Options with DIABETES PREDICTION
13 Lectures

Other ML Services
11 Lectures

Conclusion
1 Lectures

Instructor Details

Akshay Deep Lamba
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