Wrapping 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. 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...

3. Machine Learning Product Management: A Practical Guide 2023

4.5

(268)

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

4. Productivity Machine: Time Management & Productivity Hacks

4.5

(27,996)

Productivity & Time Management Strategies for Goal Setting, Eliminating Distractions, & Building Habits for Success...

5. 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...

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. Deployment of Machine Learning Models

4.5

(4,961)

Learn how to integrate robust and reliable Machine Learning Pipelines in Production...

8. Quality Systems, Models and Theories

4.1

(251)

Understand, Develop and Implement Quality Systems for Success and Profit...

9. The Production Part Approval Process (PPAP)

4.5

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The 18-step process for ensuring new parts are consistently manufactured and meet their customers' quality expectations...

10. 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...

11. Data Quality Fundamentals

4.2

(557)

Understand key concepts, principles and terminology related to Data Quality...

12. ISO 9001:2015 Quality management system auditor

4.5

(7,832)

Upgrade your career by learning how to implement and audit a quality management system according to ISO 9001...

13. Machine Learning: Build neural networks in 77 lines of code

4.5

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Machine Learning and Artificial Intelligence for beginners. How to build a neural network in 77 lines of Python code...

14. Operations Management in small businesses: key techniques

4.4

(2,020)

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

15. ISO9001 Quality Management System

4.4

(318)

Learn why your business should be using Quality Management TODAY and create your own QMS (Quality Management System)...

16. 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!...

17. Certified Quality Engineer Training [2022]

4.6

(1,829)

Comprehensive Certified Quality Engineer (CQE) Exam Preparation Course (2022 Body of Knowledge)...

18. Data Quality Masterclass - The Complete Course

4.5

(1,220)

Learn Data Quality Management from A to Z. This complete guide covers all Data Quality Principles, Techniques and more...

19. Cost of Quality Analysis and Reporting using Microsoft Excel

4.4

(533)

Expertly collect, analyze and present quality cost data (using Microsoft Excel) to help drive continual improvement...