Udemy – MLOps with AWS – Bootcamp – Zero to Hero Series 2025-1

Udemy – MLOps with AWS – Bootcamp – Zero to Hero Series 2025-1 Downloadly IRSpace

Udemy – MLOps with AWS – Bootcamp – Zero to Hero Series 2025-1
Udemy – MLOps with AWS – Bootcamp – Zero to Hero Series 2025-1

MLOps with AWS – Bootcamp – Zero to Hero Series, is a practical learning course for data scientists and DevOps engineers with AWS, published by Udemy Academy. Brush up on your MLOps knowledge. Increase your AI/ML (Artificial Intelligence and Machine Learning) mastery on AWS with expert guidance. Empower Your MLOps Journey: Unleash AI/ML Mastery on AWS with Expert Guidance – From Notebook to Production Operation

This comprehensive course is designed for individuals aspiring to excel in artificial intelligence and machine learning (AI/ML) development or data science roles, approaching them with a Production Level mindset. Throughout this course, you will enhance your skills in designing, building, deploying, optimizing, training, tuning, and maintaining ML solutions for real-world business challenges, leveraging the power of the AWS Cloud in conjunction with DevOps best practices tailored for Machine Learning.

While you may already possess a fundamental understanding of machine learning, it’s essential to recognize that employers seek more than just the basics that can be run on a local notebook.

What you will learn in the MLOps with AWS – Bootcamp – Zero to Hero Series:

  • Configuring the CI/CD Pipeline for Machine Learning Projects
  • Ability to track the source code & training images, configuration files with Git Based Repository – AWS CodeCommit
  • Ability to Perform the Build using AWS CodeBuild
  • Ability to Deploy the Application on Server using AWS CodeDeploy
  • Orchestrate the MLOps steps using AWS CodePipeline
  • Identify appropriate AWS services to implement ML solutions
  • Perform the Load testing
  • Monitoring the End Point Performance
  • Monitoring the Model Drift
  • The ability to follow model-training best practices
  • The ability to follow deployment best practices
  • The ability to follow operational best practices

Who is this course suitable for:

  • Anyone preparing for Data Science , Machine Learning & Deep Learning Interviews
  • Anyone interested in learning how Machine Learning is implemented on Large scale data
  • Anyone interested in AWS cloud-based machine learning and data science
  • Anyone looking to learn the best practices to deploy the Machine Learning Models on Cloud
  • Anyone looking to learn the best practices to Operationalize the Machine Learning Models

Course specifications

  • Publisher: Udemy
  • Instructor: Manifold AI Learning ®
  • Language: English
  • Training level: Introductory to Advanced
  • Number of courses: 186
  • Training duration: 37 hours and 47 minutes

Course topics

MLOps with AWS - Bootcamp - Zero to Hero Series

Course prerequisites

  • Basic knowledge of AWS
  • Account with AWS for practical Hand-On
  • Basic knowledge of Machine Learning & Deep Learning

Pictures

MLOps with AWS - Bootcamp - Zero to Hero Series

MLOps with AWS – Bootcamp – Zero to Hero Series introduction video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: English

Quality: 720p, 1080p

Previous title:

Master Practical MLOps for Data Scientists & DevOps on AWS

Changes:

Version 2024/5 compared to 2023/9 has increased the number of 11 lessons and the duration of 5 hours and 25 minutes.

Version 2024/8 compared to 2024/5 has increased the number of 2 lessons and the duration of 53 minutes. Also, the Quality of the course has increased from 720p to 1080p.

The 2025/1 version has increased by 19 lessons and a duration of 3 hours and 46 minutes compared to 2024/8.

Download link

1080p

Download Part 1 – 4 GB

Download Part 2 – 4 GB

Download Part 3 – 4 GB

Download Part 4 – 4 GB

Download Part 5 – 3.93 GB

720p

Download Part 1 – 3 GB

Download Part 2 – 3 GB

Download Part 3 – 3 GB

Download Part 4 – 3 GB

Download Part 5 – 1.07 GB

password file(s): www.downloadly.ir

File Size

19.3 \ 13 GB