5G Network and IoT Systems Engineer
Course title: Private 5G: Transform, Build, Deploy, and Monetize
Target group: Mid Level Employee
Level: Foundations
Private 5G: Transform, Build, Deploy, and Monetize
Provider
Udemy
Description
Private 5G: Transform, Build, Deploy, & Monetize,” an all-encompassing course tailored for telecommunications professionals keen on transforming the future of connectivity. In this course, you’ll journey through the intricacies of Private 5G networks—from the foundational principles to monetization opportunities. Engineered to be both educative and engaging, this course is the launchpad you need for mastering Private 5G
What You Will Learn
Section 1: Introduction to Private 5G
· The architecture and operation of Private 5G networks.
· Market drivers pushing the rapid adoption of private 5G.
· Diverse applications and use-cases across industries.
Section 2: Understanding 5G Technology
· The architecture of 5G and how it dovetails into private networks.
· Key performance metrics: Latency, Reliability, and Throughput.
· Spectrum allocation and its impact on network performance.
Section 3: Building your Private 5G Network
· Deployment strategies, from self-built to cloud-based solutions.
· Key considerations for phased migration and integration.
· Building a secure and compliant network from the ground up.
Section 4: Business and Monetization Opportunities
· How Private 5G unlocks new revenue streams across various industries.
· Financial models: CapEx and OpEx considerations.
· Trends and regulatory landscapes that will shape the future of Private 5G.
Key Features
· 4 Comprehensive Sections
· Interactive Quizzes and Assignments
· Access to a List of Leading Vendors and Industry Players · Certificate of Completion
Target
- Telecom Engineers
- Network Architects
- CTOs and Tech Decision-Makers
- Industry Consultants
- Students pursuing a career in Telecommunications
Sector
- Telecommunication
- Information Technology
- Connectivity
Area
- Private 5G networks
- Network architecture
- Deployment
- Monetization
Learning outcomes
- Understand 5G architecture, key features, and spectrum allocations to set the foundation for Private 5G exploration.
- Learn the benefits, limitations, and regulatory considerations that distinguish Private 5G from public networks.
- Master real-world use-cases of Private 5G in sectors like manufacturing, healthcare, and smart cities.
- Acquire the know-how for planning, designing, and implementing Private 5G networks, including QA and testing.
- Explore business models and consulting opportunities to successfully monetize Private 5G networks.
Learning content
- Introduction to Private 5G5 lectures
- Understanding 5G Technology5 lectures
- Building your Private 5G network6 lectures
- Business and Monetization Opportunities
- Recap and Resources
Approach/method
Online
Duration
4.5 hours on-demand video
Assessment
Yes
Certification
Yes
Date
Always available
Location
Online
Website
Course title: Site Reliability Engineering Network Optimization
Target group: Mid Level Employee
Level: Foundations
Site Reliability Engineering Network Optimization
Provider
skillsoft
Description
Network performance optimization is an important component of site reliability engineering (SRE). It allows IT systems to deliver a better user experience by improving the speed, responsiveness, and efficiency of IT systems. In this course, examine network optimization principles for SRE, network bottlenecks and solutions, and how to measure network performance and latency. Next, discover techniques for optimizing bandwidth and reducing latency, the impact of network design on service reliability, and implementation strategies for redundant network pathways. Finally, learn about network troubleshooting and diagnostics, network monitoring and management tools, load balancing and traffic management approaches, and methods for securing network communications in SRE practices. At the end of this course, you’ll be able to identify key elements of network optimization in site reliability engineering.
Target
- IT engineers and SRE practitioners responsible for reliability and performance; network engineers; platform teams
- SREs, network engineers, performance engineers, system architects
- SREs, site reliability analysts, observability engineers, IT operations
- Network engineers, performance engineers, platform architects, SREs
- Solutions architects, network designers, SRE leads, IT strategists
- Network engineers, infrastructure engineers, SREs, disaster-recovery planners
- NOC engineers, SREs, incident responders, support engineers
- SREs, network and platform operators, observability engineers
- SREs, platform engineers, DevOps engineers, site reliability leads
- Security engineers, SREs, network engineers, compliance specialists
- All roles involved in SRE and network reliability
Sector
- Information Technology
- Software as a Service (SaaS)
- Cloud platforms
- DevOps
- Telecommunications
- Data centers
- Enterprise IT
- Managed services
Area
- Network performance
- Latency
- Throughput optimization
- SRE practices
- Bottleneck identification
- Root cause analysis
- Remediation strategies
- Metrics, monitoring, benchmarking
- Bandwidth optimization
- Caching
- Compression
- Routing
- Prioritization
- Network topology
- Redundancy
- Fault isolation
- Resilience
- Troubleshooting workflows
- Diagnostic tools
- Fault isolation
- Monitoring stacks
- Telemetry
- Alerting
- Management interfaces
- Load balancing strategies
- Traffic shaping
- Autoscaling
- Global traffic management
- Encryption
- TLS/DTLS
- Secure transport
- Network security best practices
Learning outcomes
- Discover the key concepts covered in this course
- Identify the principles of network optimization in an sre context
- List common network bottlenecks and their solutions
- Outline methods for measuring network performance and latency
- Name techniques for optimizing bandwidth and reducing latency
- Recognize the impact of network design on service reliability
- Outline strategies for implementing redundant network pathways
- Identify the process for network troubleshooting and diagnostics
- Compare different network monitoring and management tools
- Outline approaches for load balancing and traffic management
- List methods for securing network communications in sre practices
- Conduct network performance analysis using Wireshark
- Implement a basic Linux load balancing solution for web traffic
- Summarize the key concepts covered in this course
Learning content
- Course Overview
- Network Optimization for Site Reliability Engineering (SRE)
- Common Network Bottlenecks
- Network Performance and Latency
- Network Performance Optimization
- Network Design and Service Reliability
- Redundant Network Pathway Strategies
- Network Troubleshooting and Diagnosis
- Network Monitoring and Management Tools
- Network Load Balancing and Traffic Management
- Network Communication Security
- Conducting Wireshark Network Performance Analysis
- Implementing Linux IPVS Load Balancing
- Course Summary
Approach/method
Online
Duration
Approximately 1h 30m
Assessment
Yes
Certification
Yes
Date
Always available
Location
Online
Website
Course title: Advanced IoT Systems Integration and Industrial Applications
Target group: Senior Employee
Level: Extended Know-How
Advanced IoT Systems Integration and Industrial Applications
Provider
Coursera
Description
Welcome to the transformative journey into Advanced IoT Systems Integration and Industrial Applications! In this course, we’ll delve into cutting-edge topics that go beyond the basics, covering advanced topics such as edge computing, analytics, security, and fusion of IoT with robotics and automation technologies. This course is tailored for professionals eager to deepen their understanding of IoT systems in industrial contexts. Throughout the course, you’ll delve into key areas such as edge computing, data analytics, security, and the integration of IoT with robotics and automation technologies. The emphasis is in practical skills, ensuring that you are well-equipped to apply your knowledge to real-world industrial challenges. By the end of this Advanced IoT Systems Integration and Industrial Applications course, learners will be able to: – Understand the concepts, benefits, and challenges of edge computing in industrial IoT applications. – Apply advanced data analytics techniques for processing and deriving insights from IoT data, enabling data-driven decision-making in industrial applications. – Identify and mitigate security and privacy risks in IoT systems, applying best practices and developing comprehensive security and compliance plans for industrial applications. – Analyze and strategize the integration of IoT systems with robotics and automation technologies, designing holistic solutions for specific industrial use cases.
Target
- Professionals: IoT engineers, IIoT specialists, control systems engineers
- Technical Managers: IoT program/project managers, digital transformation leads
- Data Scientists/Analysts: Focused on industrial data analytics and predictive maintenance
- Security Practitioners: ICS/OT security engineers, cybersecurity specialists in manufacturing
Sector
- Industrial/Manufacturing: discrete manufacturing, process industries, energy and utilities
- Automation and Robotics: integration with factory robotics, PLC/SCADA ecosystems
- Logistics and Supply Chain: connected asset tracking, indoor/outdoor asset management
Area
- Edge Computing: deployment architectures, edge analytics, resource-constrained devices
- Data Analytics: real-time streaming, predictive maintenance, anomaly detection
- Security and Compliance: OT/ICS security, risk assessment, governance, privacy
- IoT-Robotics/Automation Fusion: integrating sensors/actuators with robotics and automated processes
- Outcome Focus
- Practical skills for implementing industrial IoT solutions
- Hands-on ability to design end-to-end architectures combining edge, analytics, security, and robotics integrations
Learning outcomes
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Learning content
- Module 1: Edge Computing and Advanced Data Analytics in IoT
- Module 2: IoT Security, Privacy, and Compliance
- Module 3: Integration of IoT with Robotics and Automation Technologies
Approach/method
Online
Duration
1 week
Assessment
Yes
Certification
Yes
Date
Always available
Location
Online
Website
Course title: Network Security
Target group: Mid Level Employee
Level: Extended Know-How
Network Security
Provider
Netacad
Description
In today’s digital world, network security is crucial. A network’s security can be compromised by many different sources. If mishandled, the risk can rapidly escalate into a high-consequence event that requires prompt and informed action. Network Security professionals play a vital role in an organization’s defensive line against theft, damage or disruption.Take this course to level up your Network Security skills and get ready for in-demand security job roles. You’ll get lots of practice, with 45 hands-on labs. Build your skills in implementing security measures, detecting vulnerabilities, and responding to incidents while ensuring network integrity. This comprehensive course helps you develop a deep understanding of Network Security and build expertise in designing, implementing, and supporting secure networks and data protection.
Target
- Aspiring and current Network Security professionals seeking hands-on practice
- IT professionals aiming to level up skills in security
- Security analysts and incident responders looking to strengthen network protections
Sector
- Information Technology (IT) / Cybersecurity sectors
- Enterprise/Corporate networks requiring robust security controls
- Technology services and consulting organizations focusing on security posture
Area
- Security implementation: designing and deploying secure network architectures
- Vulnerability detection and risk assessment: identifying and prioritizing weaknesses
- Incident response and recovery: detecting, containing, and recovering from security incidents
- Network integrity and data protection: maintaining secure communications and safeguarding data
Learning outcomes
- Understand Network Security Fundamentals
- Implement Security Measures
- Detect and Analyze Vulnerabilities
- Respond to Security Incidents
- Ensure Network Integrity and Data Protection
- Develop Practical Hands-On Skills
- Prepare for Security Roles
Learning content
- Module 1: Securing Networks
- Module 2: Network Threats
- Module 3: Mitigating Threats
- Module 4: Secure Device Access
- Module 5: Assigning Administrative Roles
- Module 6: Device Monitoring and Management
- Module 7: Authentication, Authorization, and Accounting (AAA)
- Module 8: Access Control Lists
- Module 9: Firewall Technologies
- Module 10: Zone-Based Policy Firewalls
- Module 11: IPS Technologies
- Module 12: IPS Operation and Implementation
- Module 13: Endpoint Security
- Module 14: Layer 2 Security Considerations
- Module 15: Cryptographic Services
- Module 16: Basic Integrity and Authenticity
- Module 17: Public Key Cryptography
- Module 18: VPNs
- Module 19: Implement Site-to-Site IPsec VPNs
- Module 20: Introduction to the ASA
- Module 21: ASA Firewall Configuration
- Module 22: Network Security Testing
- Network Security 1.0 Practice Final
- Network Security 1.0 Final Exam
Approach/method
Online
Duration
70 Hours
Assessment
No
Certification
Yes
Date
Always available
Location
Online
Website
Course title: Learning Network Troubleshooting: Practical Network Diagnostics and Solutions
Target group: Senior employee
Level: Foundations
Learning Network Troubleshooting: Practical Network Diagnostics and Solutions
Provider
Description
Troubleshooting network issues is a key skill for a wide range of IT professionals and network professionals. In this course, instructor Robert McMillen teaches you the skills and tools that you need to start network troubleshooting. Robert begins with an overview on how to triage network problems, including basic TCP/IP issues and causes, then steps you through some common home networking and wireless issues. He covers the most common issues with corporate wireless networks and how to troubleshoot Wi-Fi interference. Robert explains different types of VPN, common errors you may encounter, and how to fix them. After showing you some network tools that administrators need to know, he discusses how to fix problems you may run into with routing, switching, and firewalls.
Target
- IT professionals
- network professionals
- network administrators
Sector
- Information Technology
- Networking
Area
- Network troubleshooting
- TCP/IP
- Home and corporate wireless networks
- VPNs
- Routing
- Switching
- Firewalls
Learning outcomes
- Network Troubleshooting
Learning content
- Training Network Problems
- Troubleshooting Remote User Network Problems
- Troubleshooting Corporate Wireless Network Problems
- Troubleshooting VPN Network Problems
- Network Tools Administrators Need to Know
- Troubleshooting Routing, Switching, and Firewalls
Approach/method
Online
Duration
Approximately 2 hours
Assessment
Yes
Certification
Yes
Cost
Free
Date
Always available
Location
Online
Website
Course title: Applied Industrial Internet of Things
Target group: Junior (Fresh Employee)
Level: Foundations
Applied Industrial Internet of Things
Provider
Coursera
Description
Today, there exists a changing paradigm for every organization towards Digital Transformation in alignment with rapid growth of Industrial Automation. As automation impacts the business-returns directly, every organization, be it Designing, Manufacturing, Assembling or Logistics sector, sincerely is getting transformed as Digital Industries. The major objective of this course is to equip learners with advanced technical process of Data Collection in such Digital Industries. Thus, comprehensive course on “Applied Industrial IoT” provides a deep dive into the evolution of industrialization, from the phases of the Industrial Revolution to the transformative landscape of the Industrial Internet of Things (IIoT). The course begins with a historical review of industrial evolution, understanding core IIoT concepts, and dissecting the drivers, benefits, and challenges of IoT through real-world examples like Dam Water Level Monitoring and STP Monitoring. Next, the course delves into Solar Plant Management, Utility Monitoring in Railways, and a detailed breakdown of IIoT Architecture components. Engagements for learners include hands-on experiences with Annunciator Monitoring and Dairy Product Processing. The course makes the learners understand sensor fundamentals, types, and selection criteria. The course also explores applications in Pharma, Electricity distribution, and Energy Measurement. Practical demonstrations on Machine Status highlight real-world relevance, explore Edge Computing intricacies, Gateway types, and configurations. Practical insights are gained through Packaging, Bottle Manufacturing, and demonstrations on Pulse counting and Video Analytics. Grasp IoT Connectivity, Wireless Protocols, and witness an IIoT example with a Wheel Loader. Real-world applications in the course include Automotive Component Casting, Diesel Generators Monitoring, Aerospace Parts Manufacturing, and Bulk Milk Cooler Monitoring. Finally, the course caps off with IIoT Security Concerns and a case study on an IoT Connected Workplace Solution.
Target
- Design engineers
- manufacturing engineers
- maintenance engineers
- operations managers
- QA/QC professionals
- supply chain/logistics coordinators
- instrumentation technicians
- IT/OT engineers
- plant supervisors
- and technical students pursuing automation and industrial engineering.
Sector
- Designing
- Manufacturing
- Assembling
- Logistics (Digital Industries / Industrial Automation)
Area
- Industrial IoT concepts
- IIoT architecture
- Data collection
- Sensor fundamentals
- Edge computing
- Gateways
- Connectivity and protocols
- Industrial applications (pharma, electricity distribution, energy measurement, packaging, dairy processing, automotive, aerospace, dairy, railways, solar plants)
- Real-world demos (Dam Water Level Monitoring, STP Monitoring, Annunciator Monitoring, Wheel Loader, Pulse counting, video analytics)
- Security
- IoT workplace solutions
Learning outcomes
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Learning content
- Module 1: Introduction to Industrial IoT and Industrial IoT Architecture – Part I
- Module 2: Industrial IoT Architecture – Part II
- Module 3: Data Acquisition
- Module 4: The Edge Computing and The Gateway
- Module 5: IoT Connectivity Protocols, Platform Architecture and Security
Approach/method
Online
Duration
1 week
Assessment
Yes
Certification
Yes
Cost
Free
Date
Always available
Location
Online
Website