Artificial Intelligence in Manufacturing: Quality 4.0 Intro

Focused View

Alex Lima,Carlos A Escobar

1:22:41

5 View

1. Ch. 1 - Introduction

1. Introduction Innovation Importance of Quality 4.0.mp4

00:33

2. About the Creator and Curriculum of Quality 4.0 Institute.mp4

01:45

3. Meet the Team.mp4

00:24

4. About the Program.mp4

00:42

5. Belts Levels Overview.mp4

00:43

6. Yellow Belt Curricula.mp4

00:47

7. Project and Algorithms Courses Sequence.mp4

00:59

8. Candidates and Aspects.mp4

00:31

9. Course Structure.mp4

00:38

2. Importance of Quality and Learning Quality Control

1. Yellow Belt Certification Process.mp4

00:44

2. Did You Know Artificial Intelligence and Quality.mp4

01:30

3. Q4I Bot Introduction.mp4

00:28

4. Learning Quality Control - Overview.mp4

00:25

5. LQC Evolution of Statistical Process Control.mp4

01:41

6. Learning Quality Control - Explained.mp4

01:37

7. Dimension Definition.mp4

01:00

8. Manufacturing Importance.mp4

01:24

9. Manufacturing Quality Importance.mp4

01:39

10. Quality Management Systems.mp4

01:05

11. LQC AI and the Zero Defects Vision.mp4

01:07

3. Smart Manufacturing

1. Smart Manufacturing Introduction.mp4

00:47

2. Smart Manufacturing Economical Impact.mp4

00:41

3. Smart Manufacturing Technologies.mp4

00:48

4. Smart Manufacturing Cyber Physical Systems.mp4

00:50

5. Smart Manufacturing Reading Activity.html

6. Smart Manufacturing Activity Remarks.mp4

00:17

7. Smart Manufacturing Data Driven Approaches.mp4

01:06

8. New Generation of Data Driven Approaches.mp4

00:48

9. Data Driven Modeling.mp4

00:59

10. Real Time Iterations.mp4

00:46

11. Self Learning Adaptations and Executions.mp4

00:35

12. Smart Manufacturing Remarks.mp4

00:34

4. Modern Quality Movement

1. Problem Solving Strategy Defined.mp4

00:51

2. Evolution of the Manufacturing Quality Control Movement.mp4

00:37

3. Plateau of Six Sigma and the Rise of Quality 4.0.mp4

00:49

5. Breakdown of Traditional Quality Control

1. Breakdown of Traditional Quality control.mp4

00:34

2. Six Sigma Decline.mp4

00:38

3. Limitation 1. ANN.mp4

00:56

4. Limiitation 2. Curse of Dimensionality.mp4

00:35

5. Lost Key in Dimensionality.mp4

00:35

6. Limitation 3. Computation Time.mp4

00:39

7. Limitation 4. Vision Systems.mp4

00:39

8. Limitation 5. Control Charts.mp4

00:57

6. The Rise of Quality 4.0

1. Rise of Quality 4.0 Defined.mp4

00:49

2. Douglas Montogomery Recommnedation.mp4

00:24

3. Remarks Rise of Quality 4.0.mp4

00:52

4. Areas of Knowledge.mp4

00:23

5. Beyond Six Sigma.mp4

01:00

6. Implementing Quality 4.0.mp4

00:39

7. Chapter 1 Quiz 1.html

7. Ch. 2 - Quality 4.0 Technologies

1. Intro Quality 4.0 Technologies Overview.mp4

00:17

8. Artificial Intelligence

1. Narrow AI vs. General AI.mp4

01:47

2. History & Statistics.mp4

01:26

3. AI Machine Learning.mp4

00:34

4. Machine Learning Techniques.mp4

01:28

5. Supervised Learning.mp4

00:43

6. Classification.mp4

00:25

7. Machine Learning Projects Characteristics.mp4

01:02

8. Machine Learning Ill Conceived Projects.mp4

00:48

9. AI Business Impact.mp4

00:38

9. ChatGPT

1. ChatGPT.mp4

00:43

2. ChatGPT Activity.mp4

00:24

3. Activity ChatGPT.html

4. Results - ChatGPT Activity.mp4

00:19

10. Cloud Storage and Computing

1. Cloud Storage and Computing.mp4

00:43

2. Cloud Storage.mp4

00:46

3. Cloud Computing.mp4

01:17

4. CSC Statistics & Benefits.mp4

00:41

5. Framework for Quality 4.0.mp4

01:03

6. Online Deployment.mp4

00:43

7. Fog Computing.mp4

00:47

8. Edge Computing.mp4

00:55

11. Industrial Internet of Things

1. Internet of Things.mp4

00:37

2. Industrial Internet of Things.mp4

00:28

3. IIot Manufacturing Things.mp4

00:26

4. Smart Sensors.mp4

00:31

5. Actuators.mp4

00:14

12. Cyber Physical Systems

1. Cyber Physical System Development.mp4

00:45

2. Cyber Physical System Components.mp4

00:41

3. Cyber Physical System Cognition.mp4

00:14

4. Cyber Physical System Control.mp4

00:36

5. Cyber Physical System Examples.mp4

00:26

6. Chapter 2 Quiz 2 Congratulations.html

13. Big Data

1. Big Data Defined.mp4

01:03

2. Structured Data.mp4

00:32

3. Unstructured Data.mp4

00:22

4. Industrial Big Data.mp4

00:32

14. Manufacturing Data

1. Manufacturing Big Data Defined.mp4

00:28

2. Manufacturing Big Data Statistics.mp4

00:42

3. Manufacturing Big Data Considerations.mp4

00:45

4. 10 Vs of Manufacturing Big Data.mp4

01:11

15. Transforming Big Data into Learning Data

1. Data Frames.mp4

01:26

2. Activity Data Frames.html

3. Learning Data Sets.mp4

01:04

4. Model Development.mp4

01:19

5. Data Splits & Hyper-parameters.mp4

01:27

6. Activity Data Sets.html

7. Data Types.mp4

01:37

16. Binary Classification of Quality

1. Data Sets.mp4

01:03

2. Data Labeling.mp4

01:24

3. Data Annotations.mp4

00:32

4. Data Characteristics.mp4

00:42

5. Data Sets Examples Unstructured Data.mp4

00:47

6. Data Set Examples Strucutred Data.mp4

00:28

7. Activity Binary Classification of Quality Data.html

8. BCoQ Recap.mp4

00:27

9. Project Selection Introduction.mp4

00:20

10. Chapter 3 Quiz 3 Congratulations.html

11. Yellow Belt Knowledge Acquired.mp4

00:57

12. Going the Distance.mp4

00:40

13. The Green Belt.mp4

00:22

14. Thank You Yellow Belt Completion.mp4

00:14

Description

Yellow Belt Training: Enhance Your Strategic Decision Making Around the Use of Key AI Technologies.

What You'll Learn?

How AI tools are applied to solve complex problems
Understand the challenges posed by manufacturing big data.
Learn to develop Cyber-Physical Systems to solve engineering intractable problems
How to drive innovation in manufacturing
Limitations of quality control systems
Advantages of learning Quality 4.0

Who is this for?

Manufacturing technicians, engineers, managers and directors

Professionals interested in smart manufacturing

Professionals interested in learning how machine learning can be applied to drive innovation.

What You Need to Know?

No programming or machine learning background is required

More details

Description
In the manufacturing industry, the transformative potential of artificial intelligence (AI) is widely acknowledged. The current era witnesses the pervasive industrialization of AI, with a particular emphasis on its role in enhancing quality control, a focal point across industries.
This course centers around pivotal AI technologies, notably machine learning and deep learning, aiming to empower managers in crafting a visionary outlook for Quality 4.0 and assisting engineers in devising and executing intelligent quality systems. Rooted in theory, empirical evidence, a diverse array of techniques, and the author's extensive experience studying complex manufacturing systems, the course content is meticulously curated.
Our deliberate approach ensures that mathematical and coding complexities remain accessible to engineers, enabling a sharper focus on practical problem-solving through AI. Engage in an immersive exploration encompassing key technology introductions, profound manufacturing insights, compelling case examples, and the opportunity to undertake a business-oriented project.
Embark on a journey that illuminates the essence of central Quality 4.0 today and its potential to catalyze innovation to solve a whole new range of engineering intractable problems. The course encompasses a broad spectrum of knowledge areas, including programming, smart manufacturing, quality control, statistics, optimization, machine learning, and a novel 5-step problem-solving strategy tailored for Quality 4.0 deployment.
Who this course is for:
Manufacturing technicians, engineers, managers and directors
Professionals interested in smart manufacturing
Professionals interested in learning how machine learning can be applied to drive innovation.

User Reviews

Rating

average 0

Total votes0

Focused display

Artificial Intelligence

Alex Lima

Instructor's Courses

Alex Herrera is a highly accomplished professional with a strong technology background of over 25 years and a wealth of experience in various facets of the business world.With a solid foundation in technology and an extensive background in marketing and project management, his analytical and problem-solving skills have proven to be a valuable asset from start-ups, to small businesses, entrepreneurs and Fortune 500 companies.He is known for his dedication, creativity, strategic thinking, and ability to adapt to dynamic business environments. His passion for business and commitment to achieving results make him a sought-after professional in the field. With a strong foundation in technology, and a proven track record in making businesses profitable and more efficient, He is poised to continue making a significant impact in the business world.His ability to manage complex tasks and drive projects to successful completion sets him apart as a capable and reliable leader.

Carlos A Escobar

Instructor's Courses

Carlos obtained his PhD in Engineering Sciences with concentration in AI/ML from Tec de Monterrey. He worked as a Research Assistant at Harvard. Research Scientist at Amazon, Last Mile Delivery Technology Team, where he developed and applied algorithms to speed up customer delivery times and provide new innovations to customers. Before joining Amazon, Carlos worked for General Motors (GM) as a Senior Researcher at the Manufacturing Systems Research Lab. He conducted research in Industry 4.0 and Quality 4.0; applied and developed algorithms to drive manufacturing innovation.Carlos founded the Quality 4.0 Institute and is the author of the book “Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision”. His research work interest lies within the 99% percentile as compared with the cohort of researchers registered in the ResearchGate platform and it has been recognized as one of the most innovative and high impact research topics by the TecReview magazine. He was ranked in the top 3% in TEXATA, the Big Data Analytics World Championships.Carlos was recognized as the SHPE Star of Today by the Society of Hispanic Professional Engineers (SHPE). This award honors an engineer/scientist who has demonstrated outstanding technical excellence resulting in significant accomplishments. It also recognizes dedication, commitment, and selfless efforts to advance Hispanics in STEM careers. Carlos was in the Mexican national team of martial arts. Today he enjoys teaching his colleagues this sport.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.