Coating line worker education requirements

1. 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...

2. Build your first Machine Learning Pipeline using Dataiku

As part of this guided project, you shall build your first Machine Learning Pipeline using DataIku tool without writing a single line of code. You shall build a prediction model which inputs COVID daily count data across the world and predict COVID fatalities.DataIku tool is a low code no code platform which is gaining traction with citizen data scientist to quickly build and deploy their models...

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

4.5

(284)

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

4. 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...

5. Dataproc: Qwik Start - Command Line

This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to create a Google Cloud Dataproc cluster, run a simple Apache Spark job in the cluster, then modify the number of workers in the cluster, all from the gcloud Command Line. Watch these short videos, Dataproc: Qwik Start - Qwiklabs Preview and Run Spark and Hadoop Faster with Cloud Dataproc...

6. Game Asset Crash Course - 3D Modeling in Blender and 3D-Coat

4.8

(439)

Learn 3D modeling, texturing, and rendering with Blender and 3D-Coat by creating AAA ready game assets...

7. Machine Learning Product Management: A Practical Guide 2023

4.5

(268)

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

8. Productivity Machine: Time Management & Productivity Hacks

4.5

(27,996)

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

9. Linux Command Line for Beginners

4.7

(602)

Introductory course on Linux Command Line (Bash Shell)...

10. Machine Learning for Data Analysis: Data Profiling & QA

4.6

(3,130)

Machine Learning made simple with Excel! Learn data profiling for advanced analysis & business intelligence (no coding!)...

11. Data Science: Master Machine Learning Without Coding

4.7

(911)

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

12. 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...

13. SonarQube SonarCloud - Continuous Inspection and Code Review

4.3

(867)

Automated continuous inspection and code quality. Sonar Qube and Sonar Cloud to analyse 25+ languages in real time...

14. Microsoft Word & Excel 2016/365 Productivity Tips

4.6

(666)

How to make your workday more productive...

15. Data Science: Supervised Machine Learning in Python

4.6

(2,941)

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn...

16. Product and Service Management

4.7

(957)

Know the Work that is Involved in Getting a Product Onto the Shelf and a Service Ready for Effective Delivery...

17. Machine Learning for Data Analysis: Classification Modeling

4.7

(439)

Machine Learning made simple with Excel! Classification for advanced data analysis & business intelligence (no coding!)...

18. Linux Command Line

4.1

(276)

Master the Command Line...

19. Continuous Code Inspection with SonarQube

4.3

(368)

How to integrate Sonar Qube with your Maven projects...