5G and IoT Application Training Course

Did you know that the number of IoT-connected devices worldwide is projected to exceed 30 billion by 2030, with 5G networks providing the foundational infrastructure for the vast majority of new industrial, healthcare, and smart city deployments? This compelling statistic underscores the critical importance of integrated 5G and IoT expertise in today’s rapidly evolving technology landscape.

Course Overview

The 5G and IoT Application Training Course by Alpha Learning Centre is meticulously designed to equip professionals with essential skills in understanding 5G network architecture, evaluating IoT application frameworks, and developing the strategic knowledge needed to plan and implement 5G-enabled connected solutions. This course focuses on 5G New Radio capabilities, network slicing for IoT, edge computing integration, and sector-specific use case analysis to ensure participants can effectively navigate the sophisticated landscape of modern 5G and IoT convergence across industry, healthcare, transport, and smart infrastructure.

Why Select This Training Course?

Selecting this 5G and IoT Application Training Course offers numerous advantages for professionals involved in network planning, IoT solution design, and enterprise digital transformation. Participants will gain advanced knowledge of 5G core network concepts including network slicing and Service Based Architecture, massive Machine Type Communications, and Ultra-Reliable Low Latency Communications for critical IoT applications. The course provides in-depth exposure to real-world 5G and IoT deployments across multiple sectors, enabling attendees to evaluate, plan, and advocate for connected solutions with technical credibility and strategic clarity.

For organisations, investing in this training accelerates IoT adoption and reduces the risk of costly integration failures. By ensuring that technical and managerial staff understand how 5G networks support diverse IoT requirements, organisations make smarter procurement decisions, design more resilient architectures, and engage more effectively with technology partners and vendors. Research from the Ericsson Mobility Report demonstrates how private 5G networks in industrial environments enable sub-millisecond latency for robotic control, simultaneous connectivity for thousands of sensors, and network slicing for critical and non-critical traffic capabilities that demand exactly the integrated 5G and IoT understanding this course develops.

Individuals who complete this course will benefit from enhanced career prospects as they become more valuable assets in their respective fields. The skills acquired through this training can lead to professional growth and increased responsibilities across telecoms, technology, and industry sectors. Studies from the GSMA indicate that professionals with structured knowledge of 5G and IoT integration are increasingly sought after not only within telecommunications but across manufacturing, utilities, healthcare, and transport sectors where connected technology is redefining operational models.

Transform your 5G and IoT capabilities Register now for this critical advanced training programme.

Who Should Attend?

This course is suitable for:

• Telecommunications engineers and network planners
• IoT solution architects and application developers
• IT managers and enterprise technology officers
• Systems integrators working on connected device platforms
• Product managers and business developers in the IoT space
• Engineers in smart manufacturing, utilities, transport, or healthcare
• Government and regulatory professionals overseeing digital infrastructure
• Technical consultants advising on 5G and IoT strategy

What are the Training Goals?

This course aims to:

• Explain key architectural differences between 5G and previous mobile generations
• Describe 5G core network concepts including network slicing, SBA, and edge computing
• Understand 5G NR performance characteristics for diverse IoT use cases
• Identify main IoT connectivity standards and their integration with 5G networks
• Analyse IoT applications across industrial, smart city, healthcare, and transport sectors
• Evaluate requirements for mMTC and URLLC service categories
• Assess security challenges and solutions specific to 5G IoT deployments
• Apply 5G and IoT knowledge to real-world planning and decision-making scenarios

How will this Training Course be Presented?

The 5G and IoT Application Training Course employs a comprehensive and innovative approach to ensure maximum knowledge retention and skill development. Expert-led instruction from professionals with live 5G and IoT deployment experience forms the core of the course, providing up-to-date insights into real-world connected technology applications across multiple industries.

The course utilises a blend of theoretical understanding and practical applications, allowing participants to apply their knowledge to realistic scenarios. Advanced educational methodologies create a personalised and engaging learning journey through:

• Instructor-led sessions by 5G and IoT deployment specialists
• Technology demonstrations and application scenario walkthroughs
• Sector-specific use case analysis covering industry, healthcare, transport, and smart cities
• Group discussions on IoT architecture design and network slicing strategies
• Interactive exercises on 5G performance requirements for different IoT categories
• Peer discussions on emerging standards and deployment best practices

Join us now and elevate your 5G and IoT expertise to new heights!

Course Syllabus

Module 1: Foundations of 5G and IoT Convergence

• Evolution from 4G/LTE to 5G and impact on IoT ecosystems
• IMT-2020 specifications and 5G service categories (eMBB, URLLC, mMTC)
• IoT application characteristics and connectivity requirements
• Massive Machine-Type Communications (mMTC) architecture and capabilities
• Critical IoT and Ultra-Reliable Low-Latency Communications (URLLC)
• Industrial IoT, Broadband IoT, and Cellular IoT (CIoT) classifications
• 3GPP standards evolution for IoT (Release 13-18)
• Comparative analysis: NB-IoT, LTE-M, and 5G NR for IoT​

Module 2: 5G Network Architecture for IoT Applications

• 5G System Architecture and Service-Based Architecture (SBA)
• 5G Core Network (5GC) functions and IoT-specific enhancements
• Radio Access Network (RAN) architecture for IoT connectivity
• Network Function Virtualisation (NFV) and Software-Defined Networking (SDN)
• Integration of IoT devices with 5G New Radio (NR)
• Interface protocols: N1, N2, N3, N4, N6 for IoT services
• Interworking with legacy IoT platforms (2G, 3G, 4G)
• Cloud-native architecture and microservices for IoT​

Module 3: Massive IoT Technologies: NB-IoT and LTE-M

• NB-IoT (Narrowband IoT) architecture and deployment modes
• LTE-M (LTE Cat-M1) technology fundamentals
• Coverage enhancement techniques (CE Mode A and B)
• Power consumption optimisation: Power Saving Mode (PSM) and extended Discontinuous Reception (eDRX)
• Half-duplex and full-duplex operation modes
• Link budget analysis and spectrum efficiency
• Device complexity reduction and battery life optimisation
• Deployment strategies: standalone, guard-band, and in-band modes
• Migration path from LTE-M/NB-IoT to 5G IoT​

Module 4: 5G Network Slicing for IoT

• Network slicing principles and architecture
• Slice types: eMBB, URLLC, mMTC, and custom vertical slices
• Network Slice Selection Function (NSSF) and slice management
• Dynamic resource allocation and orchestration
• End-to-end slice lifecycle management
• Quality of Service (QoS) and Service Level Agreements (SLA) per slice
• Network Slice Specific Authentication and Authorisation Function (NSSAAF)
• Use cases: smart factories, autonomous vehicles, healthcare, smart cities
• Static vs. dynamic slicing strategies​

Module 5: Multi-Access Edge Computing (MEC) and 5G

• Edge computing fundamentals and architecture
• ETSI MEC framework and reference architecture
• MEC integration with 5G Service-Based Architecture
• Edge application functions and deployment scenarios
• Local Data Network (LDN) and Application Function (AF) traffic routing
• Uplink classifiers, branching points, and Session and Service Continuity (SSC)
• Latency reduction through edge processing
• Edge computing for industrial IoT and real-time applications
• MEC orchestration and lifecycle management​

Module 6: Private 5G Networks for Enterprise IoT

• Private 5G network architecture and deployment models
• Standalone (SA) vs. Non-Standalone (NSA) private networks
• Spectrum options: licensed, shared, and unlicensed bands
• Integration with enterprise IT and OT infrastructure
• Network design for Industry 4.0 applications
• Private network security and isolation
• Campus networks, smart factories, and logistics use cases
• Business models and ROI analysis for private 5G
• Vendor ecosystem and equipment considerations​

Module 7: IoT Radio Access Technologies in 5G

• 5G New Radio (NR) for IoT applications
• Frequency bands: FR1 (sub-6 GHz) and FR2 (mmWave) for IoT
• Massive MIMO and beamforming for IoT connectivity
• RedCap (Reduced Capability) IoT devices in 5G
• eRedCap and further IoT optimisations
• Non-Terrestrial Networks (NTN) for IoT: satellite and UAV connectivity
• Coverage, capacity, and spectrum efficiency for IoT
• Radio resource management and scheduling​

Module 8: 5G IoT Deployment and Use Cases

• Industrial automation and Industry 4.0 applications
• Smart cities: infrastructure, transportation, and utilities
• Intelligent healthcare and remote patient monitoring
• Smart agriculture and environmental monitoring
• Connected and autonomous vehicles (V2X)
• Smart grids and energy management
• Retail, logistics, and asset tracking
• Smart buildings and intelligent venue management
• Deployment scenarios: urban macro, indoor hotspot, rural coverage​

Module 9: Security and Privacy in 5G IoT

• 5G security architecture for IoT
• Authentication and authorisation mechanisms
• End-to-end encryption and integrity protection
• Network Slice Specific Authentication and Authorisation
• IoT device security and lifecycle management
• Privacy protection and data governance
• Threat modelling and security risk assessment
• Regulatory compliance: GDPR, IoT security standards
• Zero-trust security frameworks for IoT​

Module 10: Quality of Service (QoS) and Performance Optimisation

• 5G QoS model and traffic handling
• QoS Flow Identifiers (QFI) and 5QI parameters
• Priority handling and policy control for IoT
• Latency, throughput, and reliability requirements
• Traffic steering and application function influence
• KPI monitoring and performance analytics
• Network optimisation techniques for IoT traffic
• Service Capability Exposure Function (SCEF) for IoT​

Module 11: Artificial Intelligence and Machine Learning in 5G IoT

• AI/ML use cases in 5G-IoT convergence
• Network optimisation using machine learning algorithms
• Predictive maintenance and anomaly detection
• Intelligent traffic management and resource allocation
• AI-driven network slicing and orchestration
• Edge AI for real-time IoT data processing
• ML for massive MIMO optimisation and beamforming
• Autonomous network management and self-organising networks (SON)
• AI-as-a-Service for IoT applications​

Module 12: Spectrum Management and Regulatory Aspects

• 5G spectrum allocation for IoT applications
• Licensed, unlicensed, and shared spectrum models
• ITU-R and 3GPP frequency band designations
• Spectrum efficiency and coexistence strategies
• Regulatory frameworks and regional variations
• Interference management and dynamic spectrum access
• Global harmonisation and cross-border IoT connectivity
• Future spectrum planning for 6G and beyond​

Module 13: Advanced 5G IoT Technologies and Future Trends

• 5G-Advanced (Release 18) IoT enhancements
• RedCap evolution and new IoT device categories
• Integrated Access and Backhaul (IAB) for IoT
• Satellite-based 5G IoT and Non-Terrestrial Networks
• Extended Reality (XR) and immersive IoT applications
• Digital twins and cyber-physical systems
• Energy-efficient IoT: green 5G and sustainability
• Convergence with blockchain for secure IoT transactions
• 6G vision and IoT roadmap

Training Impact

The impact of 5G and IoT training is evident through various real-world deployments and data, which demonstrate the effectiveness of structured programmes in enhancing technical decision-making and accelerating connected technology adoption across diverse sectors.

Research indicates that organisations implementing structured 5G and IoT training programmes demonstrate measurable benefits in deployment efficiency and technology integration outcomes. A case study from Bosch’s private 5G deployment at its Reutlingen semiconductor facility in Germany showed that applying comprehensive knowledge of 5G network slicing, Quality of Service frameworks, and edge computing integration enabled a dense ecosystem of connected machines, automated guided vehicles, and real-time quality inspection systems operating simultaneously outcomes achievable only with the integrated 5G and IoT understanding that structured training provides.

These case studies highlight the tangible benefits of implementing advanced 5G and IoT expertise:

• Improved IoT solution design through systematic understanding of 5G core architecture and network slicing methodologies
• Enhanced deployment outcomes through comprehensive knowledge of mMTC and URLLC service requirements and design trade-offs
• Increased integration success through structured understanding of IoT connectivity standards and 5G NR capabilities
• Strengthened security posture through systematic application of 5G IoT security frameworks and threat assessment methodologies

By investing in this advanced training, organisations can expect to see:

• Significant improvement in IoT project outcomes and connected technology deployment success rates
• Improved ability to evaluate and specify 5G IoT solutions with technical accuracy and strategic alignment
• Enhanced decision-making capabilities through comprehensive 5G network understanding and IoT architecture frameworks
• Increased competitiveness through advanced 5G and IoT expertise across technical and managerial functions

Transform your career and organisational performance Enrol now to master the 5G and IoT Application Training Course!