Experimental machinist education requirements

1. Introduction to Mechanical Engineering Design and Manufacturing with Fusion 360

Design for manufacturing is the process of designing parts, components, or products with the understanding surrounding design requirements for a specific manufacturing method. This course explores the design for manufacture workflow and shows how to validate models and create the G code, the programming language needed to instruct the CNC machine on how to move. We practice the basics of part and assembly design, and tools such as animation, rendering, and simulations using Autodesk Fusion 360...

2. ANOVA and Experimental Design

This second course in statistical modeling will introduce students to the study of the analysis of variance (ANOVA), analysis of covariance (ANCOVA), and experimental design. ANOVA and ANCOVA, presented as a type of linear regression model, will provide the mathematical basis for designing experiments for data science applications. Emphasis will be placed on important design-related concepts, such as randomization, blocking, factorial design, and causality. Some attention will also be given to...

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. Experimental Methods in Systems Biology

Learn about the technologies underlying experimentation used in systems biology, with particular focus on RNA sequencing, mass spec-based proteomics, flow/mass cytometry and live-cell imaging. A key driver of the systems biology field is the technology allowing us to delve deeper and wider into how cells respond to experimental perturbations. This in turns allows us to build more detailed quantitative models of cellular function, which can give important insight into applications ranging from...

6. Multi-Axis CNC Toolpaths

Computer Numerical Controlled machines, or CNC for short, can have a nearly endless number of options. Most machines today control tool motion in 3-axes, X, Y and Z, but can be upgraded to include a 4th or 5th axis as well, A and B. Additionally, there are many machines on the market that are already 5-axis capable. The good news is that Autodesk® Fusion 360™ has you covered if you need to control multi-axis positioning or simultaneous motion in all 5 axes at once! Want to take your learning to...

7. Fusion 360 CAD/CAM for CNC routers

4.5

(397)

Make any part using your CNC router with Fusion 360...

8. Introduction to CNC Programming

4.5

(1,678)

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

9. 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...

10. Machine Learning and Data Science Hands-on with Python and R

4.5

(1,342)

Machine Learning, Statistics, Python, AI, Tensorflow, AWS, Deep Learning, R Programming, NLP, Bayesian, BI and much more...

11. Regression Analysis for Statistics & Machine Learning in R

4.8

(539)

Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning in R...

12. Machine Learning & Deep Learning in Python & R

4.4

(5,375)

Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R...

13. Learn Data Science & Machine Learning with R from A-Z

4.7

(1,340)

Become a professional Data Scientist with R and learn Machine Learning, Data Analysis + Visualization, Web Apps + more!...

14. Complete Course in CATIA

4.4

(674)

For Students, Engineers, and Designers...

15. Geometric Dimensioning and Tolerancing (GD & T) : Basics

4.3

(3,836)

Learn the essential concepts of GD & T , for mechanical and manufacturing engineers with practice exercises...

16. Species Distribution Models with GIS & Machine Learning in R

4.2

(520)

Mapping Habitat Suitability for Conservation Using Machine Learning and GIS in R...

17. Complete Machine Learning with R Studio - ML for 2023

4.6

(2,424)

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio...

18. Data Science and Machine Learning Bootcamp with R

4.7

(16,381)

Learn how to use the R programming language for data science and machine learning and data visualization!...

19. Mechanical design and Product development process

4.2

(604)

Learn the basic ideas and concepts behind developing mechanical products related to mechanical engineering...