Mold machine operator education requirements

1. 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...

2. 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...

3. 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...

4. 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...

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. 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...

7. 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...

8. 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...

9. Write Your Own Operating System From Scratch - Step by Step

4.5

(293)

Build your own 64-bit operating system - for the x86 architecture...

10. 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!...

11. Operations Management in small businesses: key techniques

4.4

(2,020)

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

12. Operations Management A-Z: Business Processes and Systems

4.6

(4,741)

Operations Management: Supply Chain & Business Processes in Industry for Manufacturing and Services Organizations...

13. Executive Briefing: Machine Learning

4.1

(5,211)

Machine Learning for Executives and Top-Level Managers: understand Machine Learning in under 90 Minutes...

14. Machine Learning with Javascript

4.7

(3,132)

Master Machine Learning from scratch using Javascript and Tensorflow JS with hands-on projects...

15. MBA: Supply Chain and Operation management

4.5

(266)

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

16. Machine Learning No-Code Approach: Using Azure ML Studio

4.9

(542)

A hands-on approach to Machine Learning using the easy drag-n-drop environment of Azure Machine Learning Studio...

17. Azure Machine Learning & MLOps: Beginner to Advance

4.4

(465)

The most compressive course covering MLOps and machine learning on Azure Zero to Hero...

18. Machine Learning and Data Science Hands-on with Python and R

4.5

(1,342)

Machine Learning, Statistics, Python, AI, Tensorflow, AWS, Deep Learning, R Programming, NLP, Bayesian, BI and much more...

19. Machine Learning: A Beginner's Basic Introduction

4

(338)

Learn Machine Learning Basics with a Practical Example...