The Machine Learning Pipeline on AWS

The Machine Learning Pipeline on AWS course provides comprehensive training on building, deploying, and managing machine learning pipelines using AWS services. This course covers the entire process of developing machine learning models, from data preparation to model deployment.

Course Code: MLS-C01

Information Of Course
Category
Duration Time
4 days 8 hours each or 8 days 4 hours each
Level
Beginner
Price
$1250
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The Machine Learning Pipeline on AWS course provides comprehensive training on building, deploying, and managing machine learning pipelines using AWS services. This course covers the entire process of developing machine learning models, from data preparation to model deployment.

Throughout the course, participants will learn how to use AWS machine learning services such as SageMaker and deep learning frameworks to build and train machine learning models. They will gain skills in AWS ML pipeline development, implementation, and deployment, as well as pipeline automation, optimization, and best practices.

The course instructors are experienced AWS machine learning experts who will provide personalized one-to-one training. Participants will have access to comprehensive training materials, including videos, tutorials, and hands-on exercises, to reinforce their learning.

Upon completion of this course, participants will be equipped with the skills necessary to build and manage machine learning pipelines using AWS services. They will also have the option to take online AWS ML pipeline certification exams to validate their skills.

Enroll in The Machine Learning Pipeline on AWS course today and take the first step towards mastering machine learning on the AWS platform. Learn from real-world case studies and get hands-on experience with the AWS ML pipeline architecture and workflow.

This program is ideal for professional consultants looking to specialize and master in Oracle Databasing.

The following are the few professional profiles that are ideal students for this course:

  • Developers
  • Solutions Architects
  • Data Engineers
  • Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker
     
  • Overview of machine learning
  • Use Cases
  • Types of Machine Learning
  • Overview of the ML Pipeline
  • Introduction to Course Projects and Approach
     
  • Overview of Amazon SageMaker
  • Demo Mode
  • Hands-On Approach
     
  • Overview of Problem Formulation
  • Opting for ML 
  • Demo Mode
  • Hands-On Approach
  • Practice Sets
     
  • Data Collection and Integration
  • Techniques for Data Preprocessing and Visualization
  • Practice Problems
  • Preprocess Project Data
  • Class Discussion
     
  • Choosing Right Algorithm
  • Formatting and Splitting Data
  • Loss Functions
  • Gradient Training
  • Demo Mode
     
  • Evaluation of Classification Models
  • Evaluation of Regression Models
  • Practice Sets
  • Training and Evaluating Models
  • Initial Project Presentations
     
  • Feature Extraction, Selection, Creation & Transformation
  • Hyperparameter Tuning
  • Demo Mode
  • Practice Sets
  • Applying Feature Engineering
  • Final Project Presentations
     
  • Deploy, Inference, and Monitor Model
  • Deploying ML at the Edge
  • Demo Mode
     

AWS Certified Machine Learning - Specialty

This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Machine Learning - Specialty validates expertise in building, training, tuning, and deploying machine learning (ML) models on AWS.

Source: https://aws.amazon.com/certification/certified-machine-learning-specialty/ 
 

Here are some job opportunities for AWS ML engineers in industry:

  • AWS Machine Learning Engineer
  • MWS Data Scientist4
  • AWS AI/ML Architect
  • AWS ML Operations Engineer
  • AWS ML Solutions Architect

According to sources, AWS Machine Learning Engineer earns an average annual salary of $146,832.

AWS Machine Learning Engineer Average Salary Across the U.S.

Range

Annual Salary

Monthly Salary

Weekly Wage

Hourly Wage

25th Percentile

$117,491

$9,790.92

$2,261.18

$56.53

75th Percentile

$190,000

$15,833.33

$3,656.66

$91.41

Average

$146,832

$12,236

$2,824

$70.59

Source: https://www.talent.com/salary?job=machine+learning+engineer