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Industry 4.0: Harnessing Cloud Services for Smart Manufacturing and Digital Transformation

1st-HUB-IT

About This Course

This Industry 4.0 Project-Based Training Course, powered by AWS, provides engineers and entrepreneurs with the essential skills and hands-on experience to thrive in modern industrial environments. The course offers a comprehensive learning journey, starting with the fundamental concepts of Industry 4.0 and progressing to practical applications of cutting-edge technologies.

Participants will delve into the core principles of the fourth industrial revolution, gaining a solid understanding of the forces shaping the future of industry. The course then transitions into hands-on modules, empowering learners to implement these transformative technologies using Amazon Web Services.

Key modules include:

  • Implementing IoT in Industrial Settings: Connect industrial systems to the cloud using AWS IoT services, enabling real-time monitoring, data analysis, and enhanced control.
  • Artificial Intelligence in Manufacturing: Harness the power of machine learning to optimize manufacturing processes, predict equipment failures, reduce downtime, and improve product quality.
  • Blockchain for Secure Supply Chains: Explore the implementation of blockchain technology to create secure, transparent, and tamper-proof supply chains, fostering trust and efficiency.
  • Robotics and Automation with AWS RoboMaker: Develop, test, and deploy intelligent robotic automation solutions in industrial settings using AWS RoboMaker, streamlining operations and increasing productivity.
  • Digital Twin Technology with AWS IoT TwinMaker: Create dynamic, virtual representations of physical assets and systems with AWS IoT TwinMaker, facilitating better understanding, analysis, and optimization of real-world operations.
  • Advanced Data Analytics in Industry 4.0: Master the techniques of big data analytics and predictive modeling to extract valuable insights from industrial data, enabling data-driven decision-making.
  • Edge Computing in Industrial IoT: Learn to deploy computing resources closer to data sources at the network edge, reducing latency and empowering real-time responses in industrial IoT applications.
  • Cybersecurity in Industry 4.0: Understand the critical importance of cybersecurity in Industry 4.0 and acquire the knowledge and skills to secure industrial systems against evolving cyber threats.

The course culminates in a Capstone Project: Building a Smart Factory, where participants integrate their acquired knowledge and skills to design and develop a fully functional smart factory system. This project leverages the power of IoT, AI, robotics, and digital twins, all deployed on the robust and scalable AWS cloud infrastructure.

By the end of this comprehensive training program, participants will be well-equipped to lead Industry 4.0 initiatives, drive innovation, and transform traditional industrial environments into intelligent, interconnected, and highly efficient ecosystems.

Target Audience

  1. Industrial Engineers and Managers: Professionals in charge of streamlining manufacturing and production processes.

  2. IT Professionals in Manufacturing: Those responsible for implementing and managing technology solutions in industrial settings.

  3. Security Analysts in Industrial Sectors: Specialists focused on ensuring the security and integrity of industrial IoT and other connected technologies.

  4. Innovators and Entrepreneurs: Individuals looking to develop new solutions or startups focused on smart manufacturing and Industry 4.0.

Course Staff

Samir Amri 

Mr.Samir is a Cloud arhictecture Solution & Consultant at Firt-HUB IT . He has designed and delivered numerous training sessions on diverse computer science and pedagogy topics, specializing in interactive enrichment development and Cloud based e-content creation  across various platforms. As a certified Cloud solutions architect and Ai  consultant, with expertise on Azure and AWS, and further proficiency in Generative AI F-Models for Industries , Mr.Samir  is a proven leader in planning, executing, and delivering impactful IT projects and training programs.

Malek Amri  

Malek is an aspiring data scientist with a strong foundation in mathematics and computer science, currently working towards a PHD in Computer Science for Data Science at Université Paris Saclay after completing her Master Degree at the same French University and an undergraduate studies at Sorbonne Université and Université Paris Cité. She is gaining valuable practical experience as an apprentice at Groupement Les Mousquetaires, where she applies advanced Data modelisaiton  for sales forecasting, develops personalized recommendation systems, and utilizes Cloud services and Generative IA tools for computer vision tasks.  Malek, who completed her IB at a private school in Bahrain, is proficient in French, English, Arabic and Turkish, demonstrating her adaptability and commitment to lifelong learning.

Prerequisites

  • Basic understanding of cloud computing concepts: Participants should have a foundational understanding of cloud computing terminology and its general applications.
  • Familiarity with core IT technologies: A working knowledge of networking, operating systems, and fundamental IT security principles is recommended.
  • Basic programming knowledge: While not mandatory for all modules, some understanding of programming concepts (preferably Python) would be beneficial for certain hands-on exercises.
  • Enthusiasm for learning: A positive attitude and a willingness to engage with new technologies and concepts are essential for a successful learning experience.

Frequently Asked Questions

What web browser should I use?

The Open edX platform works best with current versions of Chrome, Edge, Firefox, or Safari.

See our list of supported browsers for the most up-to-date information.

What specific AWS services will be covered in the course?

The course will cover AWS services including AWS IoT Core, AWS SageMaker, Amazon Managed Blockchain, AWS RoboMaker, AWS IoT TwinMaker, Amazon Redshift, Kinesis, and AWS IoT Greengrass. You can find more details on the AWS website: https://aws.amazon.com/

What is the level of difficulty of the hands-on projects?

The hands-on projects are designed to be progressively challenging, starting with foundational concepts and building towards more complex scenarios. We provide ample support and guidance throughout the program.

What are the specific hardware or software requirements for participating in the online version of the course?

Specific hardware and software requirements will be communicated to registered participants before the course begins. Generally, a computer with a stable internet connection and a modern web browser is sufficient.

Are there any optional learning resources or supplementary materials available?

Yes, we provide a curated list of supplementary materials, including relevant documentation, white papers, and online resources, to enhance your learning experience.

What kind of support will be provided outside of the scheduled sessions?

We offer dedicated support channels, including email and online forums, where you can ask questions and receive assistance from instructors and fellow participants.

How will my learning be assessed throughout the course?

Your learning will be assessed through a combination of quizzes, project assignments, and a final capstone project that integrates all the concepts covered in the course.

What are the career advancement opportunities after completing this course?

This course equips you with in-demand skills for roles like Industrial Engineer, Data Scientist, IoT Specialist, and Cloud Solutions Architect, opening doors to exciting career opportunities in Industry 4.0.

Is there a certification exam associated with this training program?

While this specific program does have a dedicated certification exam, it prepares you as well  for relevant AWS certifications that can further validate your skills and knowledge. You can explore AWS Certification here: https://aws.amazon.com/certification/

About Prerequisites and Difficulty

What are the prerequisites for this course? A basic understanding of cloud computing, core IT technologies, and a willingness to learn are essential. Some programming knowledge is beneficial but not mandatory.

Is prior experience with AWS services required? No, the course starts with an introduction to AWS services relevant to Industry 4.0, making it suitable for those with limited AWS experience.

What is the difficulty level of the course? The course is designed to be accessible to both engineers and entrepreneurs. The hands-on projects are structured to progressively build your skills and confidence.

About Career Relevance and Outcomes

How will this training impact my career prospects?  The course equips you with in-demand skills for roles like Industrial Engineer, Data Scientist, IoT Specialist, and Cloud Solutions Architect, enhancing your career prospects in Industry 4.0.

Does the course prepare me for any specific certifications? While the course doesn't have a dedicated certification, it aligns with relevant AWS certifications, which you can explore further on the AWS Certification website: https://aws.amazon.com/certification/

What are the key learning outcomes of the program? You'll gain practical skills in key Industry 4.0 technologies, learn to implement smart industrial solutions, enhance operational efficiency, secure industrial systems, and lead Industry 4.0 projects.

Course Summary

  1. Course Number

    FS-102
  2. Classes Start

  3. Classes End

  4. Estimated Effort

    3:00
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