Drying 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. 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...

3. 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!...

4. MBA: Supply Chain and Operation management

4.5

(266)

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

5. 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...

6. 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...

7. 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...

8. Machine Learning with Javascript

4.7

(3,132)

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

9. Deployment of Machine Learning Models

4.5

(4,961)

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

10. Machine Learning Classification Bootcamp in Python

4.5

(934)

Build 10 Practical Projects and Advance Your Skills in Machine Learning Using Python and Scikit Learn...

11. Mathematical Foundation For Machine Learning and AI

4.6

(1,262)

Learn the core mathematical concepts for machine learning and learn to implement them in R and python...

12. Operations Management in small businesses: key techniques

4.4

(2,020)

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

13. Azure Machine Learning & MLOps: Beginner to Advance

4.4

(465)

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

14. No-Code Machine Learning: Practical Guide to Modern ML Tools

4.4

(563)

Build Powerful Machine Learning Models w/Zero Coding! Master Google Vertex AI, Microsoft Azure ML Designer, & Data Robot...

15. Executive Briefing: Machine Learning

4.1

(5,211)

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

16. Data Science: Master Machine Learning Without Coding

4.7

(911)

Learn Fundamentals Of Data Science & Machine Learning With Rapidminer (No Coding). Dataset & Solutions Included...

17. Machine Learning Product Management: A Practical Guide 2023

4.5

(268)

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

18. Google Cloud Machine Learning Engineer Certification Prep

4.5

(434)

Building, Deploying, and Managing Machine Learning Services at Scale...

19. 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...