Gear machine operator education requirements

1. Machine Learning Engineering for Production (MLOps)

Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well.\n\nEffectively deploying machine learning models requires competencies more commonly found in technical fields such as software engineering and DevOps. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and...

2. Build and Operate Machine Learning Solutions with Azure

Azure Machine Learning is a cloud platform for training, deploying, managing, and monitoring machine learning models. In this course, you will learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions. This is the third course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam. The certification exam is an opportunity to prove knowledge and expertise operate...

3. Operating Systems from scratch - Part 1

4.5

(4,324)

Learn the concepts of Operating Systems from scratch as Operating System forms the core of Computer Science...

4. Operating Systems from scratch - Part 2

4.7

(1,078)

Learn memory management in operating systems as operating system forms the core of computer science...

5. Build Image Quality Inspection using AWS Lookout for Vision

In this guided project, you will learn how to build automated image quality inspection using Amazon Lookout for Vision. Amazon Lookout for Vision is a Machine Learning as a Service from Amazon Web services which you could leverage to do Image Analytics and address interesting use cases such as drone detection, defect detection, object detection, smile detection, fall detection without writing a single line of code. Please note: As part of this course, you would need your AWS Account to complete...

6. MLOps | Machine Learning Operations

This comprehensive course series is perfect for individuals with programming knowledge such as software developers, data scientists, and researchers. You'll acquire critical MLOps skills, including the use of Python and Rust, utilizing GitHub Copilot to enhance productivity, and leveraging platforms like Amazon SageMaker, Azure ML, and MLflow. You'll also learn how to fine-tune Large Language Models (LLMs) using Hugging Face and understand the deployment of sustainable and efficient binary...

7. Operating Systems Part 3: Synchronization and Deadlock

4.4

(684)

Learn the concepts of Operating Systems from scratch as Operating System forms the core of Computer Science...

8. CNC Milling machine programming using G-Code

4.7

(331)

Learning to read and write CNC programs with FANUC G Code has never been so easy...

9. Deploying Machine Learning Models in Production

In the fourth course of Machine Learning Engineering for Production Specialization, you will learn how to deploy ML models and make them available to end-users. You will build scalable and reliable hardware infrastructure to deliver inference requests both in real-time and batch depending on the use case. You will also implement workflow automation and progressive delivery that complies with current MLOps practices to keep your production system running. Additionally, you will continuously...

10. Machine Learning Product Management: A Practical Guide 2023

4.5

(268)

Kick start your career in Machine Learning Product Management with just one course...

11. Operating Systems Final Part (4): File Systems & Threads

4.6

(518)

Learn the concepts of Operating Systems from scratch as Operating System forms the core of Computer Science...

12. The Complete Machine Learning Course with Python

4.5

(6,881)

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!...

13. MBA: Supply Chain and Operation management

4.5

(266)

Tactics, Tools, and Techniques required to become a Supply chain and operation manager...

14. Operations Management in small businesses: key techniques

4.4

(2,020)

A toolkit for making small business operations effective and efficient...

15. 7 Quality Tools for Quality Management and Improvements.

4.4

(434)

A complete Crash Course on the 7 Basic Tools for Quality Management and its Implementation using MS Excel...

16. Mastering the Seven Basic Quality Improvement Tools [2022]

4.6

(506)

Master the 7 QC tools for process improvement using MS Excel + Certification 2 case studies included...

17. Quantum Computing and Quantum Machine Learning - Part 1

4.3

(295)

Foundational Course for Quantum Computing and Quantum Machine Learning...

18. Machine Learning: A Beginner's Basic Introduction

4

(338)

Learn Machine Learning Basics with a Practical Example...

19. The Operations Management Training Program

4.1

(748)

Learn how to design, plan, direct, and improve all the activities that transform resources into goods or services...