Die setter 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. Modern PR - How To Get Press Coverage For Your Business

4.5

(1,398)

A proven public relations / PR system to get press coverage for your company or product, from a journalist's perspective...

4. Press Coverage, Publicity & Public Relations For Branding

4.3

(496)

Public relations to reach 100,000+ people with influencer marketing, publicity, and press coverage for personal branding...

5. 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...

6. Productivity Machine: Time Management & Productivity Hacks

4.5

(27,996)

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

7. The Production Part Approval Process (PPAP)

4.5

(1,218)

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

8. Machine Learning Product Management: A Practical Guide 2023

4.5

(268)

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

9. ARM Assembly Language From Ground Up™ 1

4.6

(694)

Build over 50 Assembly Programs - ARM Instruction Set, Peripheral Driver Development, Algorithms, DSP routines etc...

10. Fusion 360 tutorial for CNC machinists

4.3

(575)

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

11. Machine Learning Practical: 6 Real-World Applications

4.5

(2,836)

Machine Learning - Get Your Hands Dirty by Solving Real Industry Challenges with Python...

12. 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...

13. The Ultimate Gmail Productivity System For Business

4.5

(506)

Learn over 20 different strategies and tools to cut your time spent on email in half and massively increase productivity...

14. Deployment of Machine Learning Models

4.5

(4,961)

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

15. Machine Learning with Javascript

4.7

(3,132)

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

16. Introduction to CNC Programming

4.5

(1,678)

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

17. Truck Dispatcher - Working with owner operators

4.6

(724)

Work and earn...

18. 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...

19. 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...