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Industrial AI

Revolutionizing Operations & harnessing Artificial Intelligence in Industrial Processes. Understand Industrial AI in practice & strategies for success
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Course Duration: 30 Hours
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Industrial AI (Artificial Intelligence) refers to the application of artificial intelligence technologies and techniques to industrial processes, aiming to enhance efficiency, productivity, and decision-making within various sectors such as manufacturing, energy, logistics, and more. By leveraging machine learning, data analytics, computer vision, and other AI methods, industrial AI helps organizations optimize operations, predict maintenance needs, improve quality control, and streamline supply chains.

Key Components of Industrial AI:

  1. Data Collection and Integration

    • a) Sensors and IoT Devices: Collect real-time data from machinery, equipment, and processes.
    • b) Data Integration Platforms: Aggregate data from various sources, including legacy systems, enterprise resource planning (ERP) systems, and the Industrial Internet of Things (IIoT).

  2. Data Processing and Storage

    • a) Data Lakes and Warehouses: Store vast amounts of structured and unstructured data for analysis.
    • b) Edge Computing: Process data closer to the source to reduce latency and bandwidth usage.

  3. Machine Learning and Analytics

    • a) Predictive Analytics: Use historical data and machine learning models to predict future events, such as equipment failures or demand fluctuations.
    • b) Prescriptive Analytics: Provide recommendations for optimal actions based on predictive insights.

  4. Computer Vision

    • a) Quality Control: Use image recognition and computer vision to inspect products for defects and ensure quality standards.
    • b) Automated Surveillance: Monitor production lines and work environments to ensure safety and compliance.

  5. Natural Language Processing (NLP)

    • a) Chatbots and Virtual Assistants: Assist workers by providing information, answering questions, and guiding through troubleshooting processes.
    • b) Document Analysis: Automate the extraction and processing of information from documents, manuals, and reports.

How Industrial AI Works:

  1. Data Acquisition

    • Sensors, cameras, and IoT devices continuously collect data from industrial processes.
    • Data is transmitted to central storage systems or processed at the edge for immediate insights.

  2. Data Preprocessing

    • Data is cleaned, transformed, and normalized to ensure quality and consistency.
    • Relevant features are extracted to feed into AI models.

  3. Model Training and Deployment

    • Machine learning models are trained using historical data to recognize patterns and make predictions.
    • Models are tested and validated before being deployed in the production environment.

  4. Real-Time Monitoring and Analysis

    • Deployed models continuously analyze real-time data to provide actionable insights.
    • Alerts and notifications are generated for anomalies, potential failures, or optimization opportunities.

  5. Decision-Making and Automation

    • Insights from AI models inform decision-making processes, from scheduling maintenance to adjusting production parameters.
    • Automated systems and robots can act on AI recommendations to perform tasks without human intervention.

Uplatz offers this extensive Industrial AI course focusing on the key concepts of Industrial Artificial Intelligence, practical applications of Industrial AI, and strategies for success in AI. You will be awarded a Course Completion Certificate by Uplatz upon successul completion of the course.

Course/Topic - Industrial AI - all lectures

  • Lecture 1 - Industrial AI in Practice - part 1

    • 34:27

  • Lecture 2 - Industrial AI in Practice - part 2

    • 32:41

  • Lecture 3 - Industrial AI in Practice - part 3

    • 33:30

  • Lecture 4 - Industrial AI in Practice - part 4

    • 32:37

  • Lecture 5 - Industrial AI in Practice - part 5

    • 36:31

  • Lecture 6 - Industrial AI in Practice - part 6

    • 32:44

  • Lecture 7 - Industrial AI in Practice - part 7

    • 33:06

  • Lecture 8 - Industrial AI in Practice - part 8

    • 31:38

  • Lecture 9 - Industrial AI in Practice - part 9

    • 31:22

  • Lecture 10 - Industrial AI in Practice - part 10

    • 36:53

  • Lecture 11 - Industrial AI in Practice - part 11

    • 45:24

  • Lecture 12 - Strategies for Success in AI - part 1

    • 36:19

  • Lecture 13 - Strategies for Success in AI - part 2

    • 39:03

  • Lecture 14 - Strategies for Success in AI - part 3

    • 47:21

  • Lecture 15 - Strategies for Success in AI - part 4

    • 43:01

  • Lecture 16 - Strategies for Success in AI - part 5

    • 37:20

  • Lecture 17 - Strategies for Success in AI - part 6

    • 48:35

  • Lecture 18 - Strategies for Success in AI - part 7

    • 43:14

  • Lecture 19 - Strategies for Success in AI - part 8

    • 35:08

  • Lecture 20 - Strategies for Success in AI - part 9

    • 34:27

  • Lecture 21 - Enterprise AI - part 1

    • 37:05

  • Lecture 22 - Enterprise AI - part 2

    • 36:28

  • Lecture 23 - Enterprise AI - part 3

    • 31:28

  • Lecture 24 - Enterprise AI - part 4

    • 37:11

  • Lecture 25 - Enterprise AI - part 5

    • 39:19

  • Lecture 26 - Enterprise AI - part 6

    • 40:24

  • Lecture 27 - Enterprise AI - part 7

    • 47:15

  • Lecture 28 - Enterprise AI - part 8

    • 37:37

  • Lecture 29 - Enterprise AI - part 9

    • 30:21

  • Lecture 30 - Enterprise AI - part 10

    • 34:20

  • Lecture 31 - Enterprise AI - part 11

    • 30:52

  • Lecture 32 - Enterprise AI - part 12

    • 48:03

  • Lecture 33 - Enterprise AI - part 13

    • 36:46

  • Lecture 34 - Enterprise AI - part 14

    • 34:32

  • Lecture 35 - Enterprise AI - part 15

    • 46:27

  • Lecture 36 - Enterprise AI - part 16

    • 52:19

  • Lecture 37 - Applications of AI in Engineering - part 1

    • 27:24

  • Lecture 38 - Applications of AI in Engineering - part 2

    • 21:28

  • Lecture 39 - Applications of AI in Engineering - part 3

    • 31:29

  • Lecture 40 - Applications of AI in Engineering - part 4

    • 19:27

  • Lecture 41 - Applications of AI in Engineering - part 5

    • 55:10

  • Lecture 42 - Applications of AI in Engineering - part 6

    • 17:56

  • Lecture 43 - Applications of AI in Engineering - part 7

    • 20:53

  • Lecture 44 - Applications of AI in Engineering - part 8

    • 22:58

  • Lecture 45 - Applications of AI in Engineering - part 9

    • 24:26

  • Lecture 46 - Applications of AI in Engineering - part 10

    • 22:45

  • Lecture 47 - Applications of AI in Engineering - part 11

    • 20:36

  • Lecture 48 - Applications of AI in Engineering - part 12

    • 24:02

  • Lecture 49 - Applications of AI in Engineering - part 13

    • 35:28

  • Lecture 50 - Applications of AI in Engineering - part 14

    • 18:01

  • Lecture 51 - Applications of AI in Engineering - part 15

    • 43:04

  • Lecture 52 - Applications of AI in Engineering - part 16

    • 48:59

  • Lecture 53 - Applications of AI in Engineering - part 17

    • 39:24

  • Lecture 54 - Applications of AI in Engineering - part 18

    • 19:50

  • Lecture 55 - Applications of AI in Engineering - part 19

    • 32:34

  • Lecture 56 - Applications of AI in Engineering - part 20

    • 39:44

  • Lecture 57 - Applications of AI in Engineering - part 21

    • 26:31

  • Lecture 58 - Applications of AI in Engineering - part 22

    • 31:19

  • Lecture 59 - Applications of AI in Engineering - part 23

    • 20:53

  • Lecture 60 - Applications of AI in Engineering - part 24

    • 36:59

  • Lecture 61 - Applications of AI in Engineering - part 25

    • 39:53

  • Lecture 62 - Applications of AI in Engineering - part 26

    • 45:32

  • Lecture 63 - Applications of AI in Engineering - part 27

    • 32:00

  • Lecture 64 - Applications of AI in Engineering - part 28

    • 26:39

  • Lecture 65 - Applications of AI in Engineering - part 29

    • 35:43

  • Lecture 66 - Applications of AI in Engineering - part 30

    • 21:35

  • Lecture 67 - Applications of AI in Engineering - part 31

    • 37:25

  • Lecture 68 - Applications of AI in Engineering - part 32

    • 19:34

  • Lecture 69 - Applications of AI in Engineering - part 33

    • 54:43

  • Lecture 70 - Applications of AI in Engineering - part 34

    • 33:08

  • Lecture 71 - Applications of AI in Engineering - part 35

    • 34:19

  • Lecture 72 - Applications of AI in Engineering - part 36

    • 54:52

  • Lecture 73 - Applications of AI in Engineering - part 37

    • 22:00

  • Lecture 74 - Applications of AI in Engineering - part 38

    • 23:45

  • Lecture 75 - Applications of AI in Engineering - part 39

    • 32:22

  • Lecture 76 - Applications of AI in Engineering - part 40

    • 36:36

  • Lecture 77 - Applications of AI in Engineering - part 41

    • 23:53

  • Lecture 78 - Applications of AI in Engineering - part 42

    • 21:16

  • Lecture 79 - Applications of AI in Engineering - part 43

    • 20:27

  • Lecture 80 - Applications of AI in Engineering - part 44

    • 17:30

  • Lecture 81 - Applications of AI in Engineering - part 45

    • 38:24

  • Lecture 82 - Applications of AI in Engineering - part 46

    • 33:28

  • Lecture 83 - Applications of AI in Engineering - part 47

    • 29:52
Course Objectives Back to Top
Course Syllabus Back to Top

Industrial AI - Course Syllabus

 

  1. Industrial AI in Practice - I

  2. Industrial AI in Practice - II

  3. Industrial AI in Practice - III

  4. Industrial AI in Practice - IV

  5. Industrial AI in Practice - V

  6. Industrial AI in Practice - VI

  7. Industrial AI in Practice - VII

  8. Industrial AI in Practice - VIII

  9. Industrial AI in Practice - IX

  10. Industrial AI in Practice - X

  11. Industrial AI in Practice - XI

  12. Strategies for Success in AI - I

  13. Strategies for Success in AI - II

  14. Strategies for Success in AI - III

  15. Strategies for Success in AI - IV

  16. Strategies for Success in AI - V

  17. Strategies for Success in AI - VI

  18. Strategies for Success in AI - VII

  19. Strategies for Success in AI - VIII

  20. Strategies for Success in AI - IX

  21. Enterprise AI - I

  22. Enterprise AI - II

  23. Enterprise AI - III

  24. Enterprise AI - IV

  25. Enterprise AI - V

  26. Enterprise AI - VI

  27. Enterprise AI - VII

  28. Enterprise AI - VIII

  29. Enterprise AI - IX

  30. Enterprise AI - X

  31. Enterprise AI - XI

  32. Enterprise AI - XII

  33. Enterprise AI - XIII

  34. Enterprise AI - XIV

  35. Enterprise AI - XV

  36. Enterprise AI - XVI

  37. Applications of AI in Engineering - I

  38. Applications of AI in Engineering - II

  39. Applications of AI in Engineering - III

  40. Applications of AI in Engineering - IV

  41. Applications of AI in Engineering - V

  42. Applications of AI in Engineering - VI

  43. Applications of AI in Engineering - VII

  44. Applications of AI in Engineering - VIII

  45. Applications of AI in Engineering - IX

  46. Applications of AI in Engineering - X

  47. Applications of AI in Engineering - XI

  48. Applications of AI in Engineering - XII

  49. Applications of AI in Engineering - XIII

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Career & Jobs Back to Top
Interview Questions Back to Top
Course Quiz Back to Top
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Q1. What are the payment options? A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay. Q2. Will I get certificate? A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php Q3. How long is the course access? A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience. Q4. Are the videos downloadable? A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app. Q5. Do you take exam? Do I need to pass exam? How to book exam? A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam. Q6. Can I get study material with the course? A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php Q7. What is your refund policy? A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php Q8. Do you provide any discounts? A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers. Q9. What are overview courses? A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100 Q10. What are individual courses? A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual Q11. What are bundle courses? A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle Q12. What are Career Path programs? A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done Q13. What are Learning Path programs? A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done Q14. What are Premium Career tracks? A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive. Q15. How unlimited subscription works? A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription Q16. Do you provide software access with video course? A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month. Q17. Does your course guarantee a job? A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey! Q18. Do you provide placement services? A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search: a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy. b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights. c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests. d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin. While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities. Q19. How do I enrol in Uplatz video courses? A19. To enroll, click on "Buy This Course," You will see this option at the top of the page. a) Choose your payment method. b) Stripe for any Credit or debit card from anywhere in the world. c) PayPal for payments via PayPal account. d) Choose PayUmoney if you are based in India. e) Start learning: After payment, your course will be added to your profile in the student dashboard under "Video Courses". Q20. How do I access my course after payment? A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses". Q21. Can I get help from a tutor if I have doubts while learning from a video course? A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.

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