Production machinist 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. Fusion 360 tutorial for CNC machinists

4.3

(575)

CAD CAM training for CNC machinists using fusion 360...

4. 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...

5. Productivity Machine: Time Management & Productivity Hacks

4.5

(27,996)

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

6. Machine Learning Product Management: A Practical Guide 2023

4.5

(268)

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

7. Introduction to CNC Programming

4.5

(1,678)

Learn to program CNC Routers and CNC Milling machines that use the GCODE language...

8. Deployment of Machine Learning Models

4.5

(4,961)

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

9. Deployment of Machine Learning Models in Production Python

4.5

(341)

Deploy ML Model with BERT, Distil BERT, Fast Text NLP Models in Production with Flask, u WSGI, and NGINX at AWS EC2...

10. Azure Machine Learning & MLOps: Beginner to Advance

4.4

(465)

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

11. 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...

12. Executive Briefing: Machine Learning

4.1

(5,211)

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

13. 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!...

14. DP-100: A-Z Machine Learning using Azure Machine Learning

4.4

(6,728)

Microsoft Azure DP-100: Designing and Implementing a Data Science Solution Exam Covered. Learn Azure Machine Learning...

15. Machine Learning with Javascript

4.7

(3,132)

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

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. AWS Certified Machine Learning Specialty 2023 - Hands On!

4.6

(10,643)

AWS machine learning certification preparation - learn Sage Maker, generative AI, data engineering, modeling & more...

18. Excel for Data Science and Machine Learning

4.5

(413)

Perform Machine Learning and Advanced Statistical Analysis On Your Own - Even If You Don't Code! 100% in Excel...

19. Google Cloud Machine Learning Engineer Certification Prep

4.5

(434)

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