Mobile Subscriber Services & NetAct KPI Introduction Training Course

This instructor-led live training session, conducted in US (either online or onsite), targets intermediate-level telecommunications professionals, AI engineers, and IoT specialists seeking to examine how 5G networks drive the acceleration of Edge AI applications for government use.

Upon completion of this training, participants will be equipped to:

• Articulate the foundational principles of 5G technology and its specific impacts on Edge AI performance.
• Execute the deployment of AI models specifically optimized for low-latency operations within 5G environments.
• Establish real-time decision-making systems utilizing Edge AI and 5G connectivity standards.
• Refine AI workloads to achieve optimal efficiency on edge computing devices.

This training aims to define the 5G network landscape and its profound influence on smart technology infrastructure. It provides a balanced assessment of the benefits and constraints inherent in the 5G and IoT relationship. Additionally, it explores the evolutionary path of network architecture, which was fundamentally designed to facilitate a smart, interconnected environment.

This facilitator-led live training session, conducted in US via online or in-person formats, is intended for intermediate-level professionals seeking to evaluate the operational behavior, scope, and deployment of 5G networks in technical settings.

Upon completion of this program, participants will be equipped to:

• Examine the operational behavior of 5G networks in clustered configurations.
• Comprehend the radio frequency (RF) environment associated with 5G technology.
• Assess international case studies regarding 5G implementation.
• Evaluate the capabilities and inherent limitations of 5G coverage.
• Interpret and analyze technical parameters related to 5G network quality.

This instructor-led, live training in US (delivered online or onsite) is designed for intermediate-level telecommunications professionals who aim to understand the complete 5G network lifecycle, spanning from architecture and design through deployment, operations, and security.

This 21-hour training in US guides IT architects in designing next-generation distributed systems. Explore 6G, edge computing, and AI integration for low-latency, scalable infrastructures for government. Gain practical skills for secure, resilient, and intelligent edge architectures to meet future public sector demands.

6G represents the next-generation wireless communication standard designed to revolutionize IoT ecosystems by delivering ultra-high-speed connectivity, advanced sensing capabilities, and integrated artificial intelligence.

This instructor-led, live training session (available online or in-person) is designed for advanced-level professionals seeking to understand and utilize the emerging intersection of 6G technologies and IoT applications for government purposes.

Upon completion of this course, participants will be able to:

• Articulate the fundamental technical concepts underpinning 6G networks.
• Assess how 6G will transform IoT device communication and overall architecture.
• Evaluate 6G-enabled IoT use cases across various sectors.
• Develop strategies for integrating 6G capabilities into existing IoT solutions.

Course Format

• Concept-oriented lectures supplemented by expert discussion.
• Applied exercises intended to reinforce key engineering principles.
• Case-based exploration and scenario analysis within a guided environment.

Course Customization Options

• For tailored versions of this training aligned with your organizational technology roadmap, please contact us to coordinate.

This instructor-led, live training in US prepares intermediate telecommunications engineers to evolve 4G/5G infrastructure for 6G readiness. The course covers cloud-native RAN, edge compute, and AI-native operations through hands-on laboratories and design workshops, enabling practical migration strategies for government and enterprise networks.

This live, instructor-led training program, available in online or in-person formats, is designed for senior leadership responsible for evaluating the global 6G ecosystem, assessing strategic value, and directing early-stage investments.

Upon completion, participants will possess the strategic insight required to:

• Recognize key market shifts and international initiatives defining the 6G technological landscape.
• Analyze regulatory frameworks and spectrum allocation schedules associated with IMT-2030.
• Assess the competitive vendor environment and the current state of technology readiness.
• Formulate a strategic plan for early capital allocation, research collaborations, and pilot program execution.

This advanced, instructor-led course in US explores how digital twin technology and AI converge to model and operate next-generation 6G infrastructures. Participants will build twin models, apply AI for closed-loop optimization, and integrate real-time telemetry for intent-based network control.

Examine the technical and strategic foundations of 6G in this introductory course. Delivered in US, it addresses key technologies, spectrum policies, and high-value use cases. Participants will learn to differentiate 6G from 5G and draft a readiness roadmap to support informed decision-making for government and public sector operations.

This instructor-led live training, delivered online or on-site, is designed for entry-level and intermediate-level telecom engineers and field professionals seeking to apply structured deployment methodologies and industry best practices. The objective is to successfully install, supervise, integrate, and manage multi-vendor wireless networks from 2G to 5G across operator and enterprise environments, with a focus on standards relevant for government and public sector infrastructure.

Upon completion of this training, participants will be able to:

• Install and configure multi-vendor BTS systems (Huawei, ZTE, Ericsson) from 2G to 5G.
• Supervise site deployment activities and coordinate RF, transmission, power, civil, and core network teams during integration.
• Prepare telecom sites for ATP (Acceptance Test Procedure) compliance and manage operator handover processes.
• Monitor wireless KPIs and manage cluster-based and region-based network operations within commercial and technical reporting structures.