Industrial IoT and Al Systems Engineer
Course title: Global Certificate Course in 5G and Wearable Technology
Target group: Mid Level Employee
Level: Extended Know-How
Global Certificate Course in 5G and Wearable Technology
Provider
level2.lsib.co.uk
Description
Global Certificate Course in 5G and Wearable Technology is designed for tech enthusiasts and professionals seeking to master the latest advancements in telecommunications and wearable devices. This comprehensive program covers 5G technology, IoT connectivity, wearable device design, and network optimization. Whether you are a telecom engineer, software developer, or aspiring entrepreneur, this course will equip you with the knowledge and skills to thrive in the rapidly evolving tech industry. Join us today and stay ahead of the curve in the world of 5G and wearable technology!Global Certificate Course in 5G and Wearable Technology is your gateway to a dynamic career in the cutting-edge fields of 5G and Wearable Technology. This comprehensive program equips you with the latest skills and knowledge to thrive in the rapidly evolving tech industry. With a focus on hands-on learning and real-world applications, you’ll gain a competitive edge in the job market. Our expert-led training ensures you are ready to tackle the challenges of tomorrow. Unlock exciting career prospects in telecommunications, IoT, healthcare, and more. Don’t miss this opportunity to future-proof your career with our unique blend of theory and practical experience.
Target
- Telecom engineers
- Software developers and engineers
- IT professionals focusing on networking and IoT
- Tech enthusiasts and aspiring entrepreneurs
- Professionals transitioning to 5G, IoT, or wearable domains
Sector
- Telecommunications
- Information Technology and Services
- Internet of Things (IoT)
- Healthcare technology (wearable health monitoring)
Area
- 5G technology fundamentals and deployment
- IoT connectivity and edge networking
- Wearable device design and integration
- Network optimization and performance analytics
- Real-world applications and use cases in telecom, IoT, and wearables
- Hands-on projects and practical implementation
Learning outcomes
- Explain the fundamentals of 5G technology and its applications across different industries.
- Analyze IoT connectivity models and assess their role in enabling smart devices and systems.
- Design and evaluate wearable devices with consideration of user experience, functionality, and integration with 5G networks.
- Apply principles of network optimization to improve performance, scalability, and reliability in 5G environments.
- Identify emerging trends in 5G and wearable technology and evaluate their business and societal impacts.
- Develop innovative solutions combining telecommunications, IoT, and wearable devices for real-world applications.
- Collaborate effectively in multidisciplinary teams to design, test, and deploy next-generation tech solutions.
- Demonstrate practical skills through hands-on projects that bridge theory with industry-driven applications.
Learning content
- Introduction to 5G Technology
- Evolution of Mobile Networks
- Fundamentals of Wearable Technology
- 5G Network Architecture
- Wearable Sensors and Devices
- 5G Applications and Use Cases
- Design and Development of Wearable Devices
- 5G Security and Privacy Concerns
- Integration of 5G and Wearable Technology
- Future Trends in 5G and Wearable Technology
Approach/method
Online
Duration
1 month (Fast-track mode)
2 months (Standard mode)
Assessment
No
Certification
Yes
Date
Always available
Location
Online
Website
Course title: Edge Computing : Master the Next Frontier of Computing
Target group: Junior (Fresh Employee)
Level: Awareness
Edge Computing : Master the Next Frontier of Computing
Provider
Udemy
Description
Edge Computing: From Buzzword to Breakthrough
Unleash the power of data processing where it happens – at the edge of the network. In this comprehensive course, you’ll unlock the secrets of Edge Computing, the transformative technology powering faster, smarter, and more efficient operations across industries.
No prior knowledge needed! Whether you’re a tech leader, data scientist, IT pro, or simply curious about this future-forward trend, this course will equip you with everything you need to:
- Master the fundamentals: Understand what Edge Computing is, its key benefits, and how it redefines data processing.
- Discover real-world potential: Explore diverse use cases in banking, manufacturing, retail, healthcare, and beyond.
- Tame the challenges: Learn best practices for overcoming security, data management, and implementation hurdles.
- Get hands-on: Put your knowledge into action with practical labs and industry-standard tools.
- Shape the future: Position yourself as an Edge Computing pioneer, ready to capitalize on this game-changing technology.
Target
- Tech Enthusiasts: Curious about the next frontier of computing and its impact on various industries?
- Tech Professionals: Looking to expand your skillset and stay ahead of the curve in the ever-evolving tech landscape?
- Data Science Leaders: Seeking new ways to optimize data processing and unlock faster, real-time insights?
- IT Professionals: Eager to understand how Edge Computing can revolutionize network infrastructure and security?
- Business Leaders: Visionaries driven to identify and implement transformative technologies for a competitive edge?
Sector
- Banking
- Manufacturing
- Retail
- Healthcare
- Other industries
Area
- Edge Computing
- Data Processing
- Industry-specific use cases
Learning outcomes
- Define Edge Computing & explain its core advantages like reduced latency and enhanced security.
- Identify potential use cases for Edge Computing across diverse industries like finance, manufacturing, and healthcare.
- Analyze the impact of Multi-access Edge Computing (MEC) and position yourself for the future of distributed processing.
- Position yourself as a thought leader in the Edge Computing space, gaining valuable skills for career advancement.
- Stay updated on emerging trends in Edge Computing, such as artificial intelligence and machine learning at the edge.
- Implement security best practices for protecting data and devices in an Edge Computing environment.
Learning content
- Introduction to Edge Computing
- Edge Computing: Challenges, Strategies and Best Practices
- Applications of Edge Computing
- Tools, Implementation & Multi-Access Edge Computing
- Edge Computing: Technologies, Vendors and Edge AI
- Project #1: Temperature Monitoring (Edge Computing in Healthcare Industry)
- Project #2: Vehicle Maintenance System (Edge Computing in Automobile Industry)
- Project #3: Production Line Monitoring System (Edge Computing in Manufacturing)
- #4: Inventory Management System (Edge Computing in Retail Industry)
Approach/method
Online
Duration
2 hours on-demand video
Assessment
No
Certification
Yes
Provider contacts
Date
Always available
Location
Online
Website
Course title: A Practical Introduction to OPC UA
Target group: Junior (Fresh Employee)
Level: Foundations
A Practical Introduction to OPC UA
Provider
Udemy
Description
In this course, you will learn the theory that you can directly apply to the real world of working with OPC UA Client and Server software. You will then be guided on how to download, install, configure and troubleshoot FREE OPC UA Client and Server software applications. That’s right, in this course you are actually going to get “hands-on” training in the various aspects of OPC UA software applications. This course is just over two hours, and at the end of it, you are not only going to know the theory behind the main aspects of OPC UA, but you will be able to immediately hit the ground running to be able to use any OPC UA software application in the field.
Target
- Electrical Engineers
- Electrical Technicians
- Electrical Tech or Engineering Students
- Process Control Technicians and Engineers
- Process Automation Engineers
Sector
- Manufacturing and Automation
- Industrial IoT / OT Networking
- Energy & Utilities
- Pharmaceutical / Process Industries
Area
- Theory-to-Practice of OPC UA
- Software Installation & Setup
- Hands-on Troubleshooting
- Operational Readiness
Learning outcomes
- Be aware of the industry forces that drove the development of OPC UA
- Understand where OPC UA fits in to the Automation field
- Be aware of the use of SDKs to implement OPC UA on platforms of various types
- Be aware of the two protocols that are currently used for OPC UA client – server communication
- Understand OPC UA security: authentication, modes and policies
- Understand the OPC UA Information model
- Be able to configure and connect an OPC UA client to a server under multiple conditions
- Be able to interpret error messages and diagnose OPC UA connection issues
Learning content
- Introduction
- Classic OPC vs. OPC UA
- Platform Independence
- Client/Server Communication Methods and Addressing
- Security – Certificates, Digital Signatures, Encryption
- The Information Model
- Installing, Configuring & Troubleshooting OPC UA Client & Server Applications
- Introduction to KEPServerEx: Industry Leader in OPC UA Servers
- Configuring OPC UA Client & Server Functionality in Ignition SCADA
- Programming Node-RED as an OPC UA Client to Connect to KEPServerE
- Bonus Lecture
Approach/method
Online
Duration
3.5 hours on-demand vide
Assessment
No
Certification
Yes
Provider contacts
Date
Always available
Location
Online
Website
Course title: Machine Learning and Advanced AI Techniques
Target group: Mid Level Employee
Level: Foundations
Machine Learning and Advanced AI Techniques
Provider
Alison
Description
Have you ever wondered how Amazon or Netflix knows exactly which product or show to recommend to you? The answer lies in the adoption of machine learning (ML) in business. In this course, we’ll explore, through real-world examples, the various applications of machine learning and deep learning across different types of businesses.
We’ll begin with an introduction to machine learning, where you’ll explore the different types of machine learning, the uses of labelled and unlabelled datasets, and the key algorithms that power machine learning models. Using examples from healthcare, finance, marketing, and more, you’ll learn the importance of selecting the right algorithm based on the specific problem and dataset characteristics. Next, we’ll introduce you to deep learning, where you’ll explore the architecture of neural networks and learn how neurons, layers, and activation functions work together to create powerful models capable of solving complex tasks. You’ll learn about the specific uses of Convolutional neural networks (CNN) and Recurrent neural networks (RNN), the challenges they offer and how to address them. You’ll explore methods to train models to prevent overfitting and optimising techniques for enhancing model performance. The prerequisite for taking this course is completing our previous course in this series, ‘ Introduction to AI in Business’. Enroll now and embark on a learning journey to unlock the transformative potential of AI.
Target
- Professionals and students interested in AI
- Machine learning, and deep learning
- Individuals seeking to apply AI in business contexts
Sector
- Business
- Healthcare
- Finance
- Marketing
- Technology
Area
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Data Science
Learning outcomes
- Define the foundational concepts and frameworks of Machine learning (ML)
- Illustrate how ML differs from traditional programming methodologies
- Recognise the different types of machine learning and their applications
- Analyse the applications, advantages and limitations of supervised and unsupervised ML
- Identify the key algorithms in machine learning, their functionalities and implementations
- Discuss the application of deep learning for optimising operations across various business domains
- Explain how neural networks are used to build intricate AI systems
- Create powerful models capable of solving complex tasks
- Describe how convolutional neural networks are used for image processing and computer vision applications
- Distinguish the uses of convolutional neural networks (CNN) and recurrent neural networks (RNN)
- Outline methods for training and optimising various types of AI models
Learning content
- Machine Learning and Use of Neural Networks
This module introduces different types of machine learning, their key algorithms and their applications across various industries, including healthcare, finance, marketing, and autonomous systems. You’ll learn the key concepts of deep learning, neural network architectures, and the techniques used to train and optimise AI models - Course assessment
Approach/method
Online
Duration
1.5-3 Hours on average
Assessment
Yes
Certification
Yes
Provider contacts
Date
Always available
Location
Online
Website
Course title: Introduction to EtherCAT: real time Ethernet communication
Target group: Mid Level Employee
Level: Foundations
Introduction to EtherCAT: real time Ethernet communication
Provider
Udemy
Description
Master Ether CAT: Industrial Ethernet for Real-Time Control
Unlock the of Ether CAT—the high-performance industrial Ethernet protocol revolutionizing automation. This comprehensive course equips engineers, technicians, and developers with end-to-end expertise in designing, implementing, and troubleshooting EtherCAT networks. This course concentrate more on the theoretical part of EtherCAT.
Key Modules:
- Fundamentals: Core principles, frame structure, and “process on the fly” operation, process data
- Implementation: Network topologies (daisy-chain, ring), ESI/ENI configuration, and PDO mapping. Main-Device and Sub-Device
- Mailbox Protocols: CoE (CANopen over EtherCAT), EoE (Ethernet over EtherCAT), FoE (File Access over EtherCAT), SoE (Servo over EtherCAT) and VoE (Vendor over EtherCAT).
- Timing and Distributed Clocks (DC)
- Error Detection and Diagnosis
Target
- SPS programmers, application developers in an automatisation field.
Sector
- Industrial automation and manufacturing
- Automotive, factory automation, process industries
- Manufacturing, packaging, robotics
- Industrial automation, motion control, CNC, packaging
- High-precision manufacturing, robotics, CNC, process control
- Industrial automation, any sector using EtherCAT
Area
- EtherCAT fundamentals
- Network topologies (daisy-chain, ring)
- ESI/ENI configuration
- PDO mapping
- Main-Device and Sub-Device concepts
- CoE, EoE, FoE, SoE, VoE communication mechanisms
- Timing concepts, distributed clock synchronization
- Real-time data alignment
- Error detection mechanisms, diagnostics, fault isolation, troubleshooting procedures
Learning outcomes
- You will understand how EtherCAT works
- You will know the various EtherCAT mailbox protocols
- You will have an idea about the members of an EtherCAT network
- You will be introduced to synchronization, distributed Clocks DC and Timing
Learning content
- Fundamentals
- Implementation
- Mailbox Protocols
- Timing and Distributed Clocks (DC)
- Error Detection and Diagnosis
Approach/method
Online
Duration
2 hours on-demand video
Assessment
No
Certification
Yes
Provider contacts
Date
Always available
Location
Online
Website
Course title: Cybersecurity for IoT (Internet of Things)
Target group: Expert
Level: Extended Know-How
Cybersecurity for IoT (Internet of Things)
Provider
Udemy
Description
professionals, security specialists, and IoT enthusiasts. Over seven modules, you’ll gain in-depth knowledge and practical skills to secure IoT ecosystems from evolving cyber threats.
Starting with the fundamentals of IoT and cybersecurity, you’ll quickly progress to advanced topics such as securing IoT devices, networks, and cloud backends. Through a combination of lectures, hands-on labs, and real-world case studies, you’ll learn to implement robust security measures, conduct thorough security testing, and respond effectively to IoT security incidents.
Key topics covered include:
- IoT device security and firmware management
- Secure network protocols and data encryption
- Cloud and backend security for IoT platforms
- Vulnerability assessment and penetration testing for IoT
- Implementation of IoT security best practices and standards
- Incident response and forensics in IoT environments
By the end of this course, you’ll be equipped with the knowledge and skills to design, implement, and maintain secure IoT systems. You’ll understand how to apply industry-standard frameworks like OWASP IoT Top 10 and NIST guidelines, and be prepared to tackle real-world IoT security challenges. Whether you’re looking to enhance your organization’s IoT security, develop secure IoT products, or advance your career in this rapidly growing field, this course provides the comprehensive training you need to succeed in IoT cybersecurity
Target
- IT professionals and network administrators who want to expand their expertise into IoT security
- Cybersecurity specialists looking to focus on the unique challenges of securing Internet of Things ecosystems
- Software developers and hardware engineers working on IoT products who need to integrate security best practices
- Information security managers and CISOs seeking to understand and address IoT-specific security risks in their organizations
- Computer science and IT students with a basic understanding of networking and cybersecurity, interested in specializing in IoT security
- IoT enthusiasts and makers with some technical background who want to ensure their projects are secure
- Business leaders and decision-makers who need a technical understanding of IoT security for their organization’s IoT implementations
Sector
- IoT security and cybersecurity
Area
- IoT ecosystems (devices, networks, cloud platforms)
Learning outcomes
- IT professionals and cybersecurity specialists looking to expand their knowledge into the growing field of IoT security
- Network administrators and system engineers responsible for implementing and maintaining IoT systems in their organizations
- Software developers and hardware engineers working on IoT products who want to integrate security best practices into their development process
- Information security managers and CISOs seeking to understand the unique challenges and solutions in securing IoT ecosystems
- Students and graduates in computer science, information technology, or cybersecurity fields interested in specializing in IoT security
- IoT enthusiasts and makers who want to ensure their projects and devices are secure from potential threats
- Business leaders and decision-makers who need to understand IoT security risks and mitigation strategies for their organizations
- Anyone with a basic understanding of networking and cybersecurity concepts who wants to dive deep into the world of IoT security
Learning content
- Securing IoT Devices
- IoT Network and Communication Security
- Cloud and Backend Security for IoT
- IoT Security Testing and Auditing
- IoT Security Best Practices and Standards
- IoT Security Incident Response and Forensics
Approach/method
Online
Duration
3 hours on-demand video
Assessment
No
Certification
Yes
Provider contacts
Date
Always available
Location
Online
Website
Course title: Cross Functional Collaboration
Target group: Mid Level Employee
Level: Awareness
Cross Functional Collaboration
Provider
Coursera
Description
This course equips supervisors and managers with practical strategies for effective cross-functional collaboration. Learners explore methods to overcome communication barriers, foster teamwork, and leverage diverse perspectives to achieve shared organizational goals. Through case studies and group activities, participants develop skills in conflict resolution, consensus-building, and providing constructive feedback. Designed for professionals with 3–5 years’ experience in leadership, supervision, or project management, the course addresses the realities of working across departments in diverse organizational settings. Participants learn how to improve information sharing, strengthen problem-solving capabilities, and make informed decisions in team-based environments. By the end of the course, learners will be able to manage cross-functional relationships more effectively, promote a culture of trust and cooperation, and apply collaboration techniques that enhance productivity and drive organizational success.
Target
- Professionals with 3–5 years’ experience in leadership, supervision, or project management
- Supervisors and managers seeking to improve cross-functional collaboration
- Team leads involved in multi-department initiatives
Sector
- Any industry with cross-functional teams and project-based work
- Emphasis on organizations requiring collaboration across departments (e.g., manufacturing, technology, services, healthcare, finance, public sector)
Area
- Cross-functional collaboration and coordination
- Communication barriers and information sharing
- Teamwork and diverse perspective leveraging
- Conflict resolution and consensus-building
- Constructive feedback and how to provide it
- Decision-making in team-based environments
- Relationship management across departments and functions
- Culture of trust, cooperation, and collaborative productivity
Learning outcomes
- Identify challenges, overcome barriers, foster teamwork, and leverage diverse perspectives for effective cross-functional collaboration.
- Learn techniques to enhance communication, establish clear channels, and promote active listening and feedback within cross-functional teams.
- Strengthen problem-solving skills, analyze different perspectives, and make informed decisions within collaborative efforts.
- Utilize techniques for collaborative problem-solving, decision-making, consensus-building, and informed choices as a team.
Learning content
- Module 1: Cross-Functional Collaboration
Approach/method
Online
Duration
4 hours to complete
Assessment
Yes
Certification
Yes
Provider contacts
Date
Always available
Location
Online
Website
Course title: People and Soft Skills for Professional and Personal Success Specialization
Target group: Junior (Fresh Employee)
Level: Awareness
People and Soft Skills for Professional and Personal Success Specialization
Provider
Coursera
Description
Knowledge of soft skills or people Skills are increasingly coming into focus and being recognized as critical for success – hence at IBM we call them “Success Skills”, and categorize them as “Hot Skills”.
Aresearch by Harvard University, Carnegie Foundation and Stanford Research Center has concluded that 85% of job success comes from having well developed soft skills and people skills,and only 15% of job success comes from Technical skills and knowledge (hard skills).
This specialization is aimed at helping you develop these powerful people and soft skills and behaviors that include:
- creating & delivering impactful presentations;
- working professionally to deliver quality work & experiences;
- collaborating effectively with teams;
- communicating productively and efficiently;
- dealing with challenges, solving problems & implementing solutions.
The program is made up of 5 short courses that you can take in any order, followed by a final assessment course. Upon completing this specialization, you will have developed knowledge and demonstrated an understanding of these essential skills.
This specialization can be taken by anyone no matter your age or work experience. And is especially beneficial for those entering the workforce or in early stages of their careers.
There are no course pre-requisites and this course can be completed either using the Coursera mobile app or a web browser on a laptop/desktop/tablet/mobile device.
Applied Learning Project The courses in this specialization include many examples and reallife inspired scenarios for you to develop critical people and soft skills. The final assessment is also made up of mini-case studies. This case study approach will not only help you you learn how to apply these fundamental skills, their mastery will enable you to gain an edge in your careers by having a better understanding of the skills you need to get ahead in your professional and personal life.
Target
- Early-career professionals and recent graduates seeking foundational soft skills
- Employees who prepare and deliver presentations to stakeholders
- Professionals responsible for producing and shaping customer or stakeholder experiences
- Team members, project collaborators, and new managers
- Professionals needing clearer, faster, and more effective communication
- Individuals tasked with solving problems and implementing solutions
- All learners from the specialization
Sector
- All sectors (cross-industry applicability)
Area
- Soft skills / people skills / professional development
- Communication, teamwork, problem-solving, presentation skills, professional behavior
Learning outcomes
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from IBM
- Create and deliver presentations that will leave a lasting impact on your audience
- Communicate with your peers in a way that builds your personal reputation and increases your eminence
- Demonstrate active listening skills and questioning styles to explore issues, enhance understanding, and resolve problems
- Complete work in an agile and effective manner that will ensure satisfaction and contribute to your career growth
Learning content
- Course 1: Collaborate Effectively for Professional Success
- Course 2: Present with Purpose: Create/Deliver Effective Presentations
- Course 3: Delivering Quality Work with Agility
- Course 4: Solving Problems with Creative and Critical Thinking
- Course 5: Developing Interpersonal Skills
- Course 6: People and Soft Skills Assessment
Approach/method
Online
Duration
4 weeks to complete at 10 hours a week
Assessment
No
Certification
Yes
Provider contacts
Date
Always available
Location
Online
Website