Mobile Networks Training in Dartmouth

This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level telecom professionals, AI engineers, and IoT specialists who wish to explore how 5G networks accelerate Edge AI applications.

By the end of this training, participants will be able to:

• Understand the fundamentals of 5G technology and its impact on Edge AI.
• Deploy AI models optimized for low-latency applications in 5G environments.
• Implement real-time decision-making systems using Edge AI and 5G connectivity.
• Optimize AI workloads for efficient performance on edge devices.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at intermediate-level professionals who wish to understand and evaluate the behavior, scope, and implementation of 5G networks in technical environments.

By the end of this training, participants will be able to:

• Analyze the behavior of 5G networks in clustered environments.
• Understand the RF environment specific to 5G technology.
• Evaluate real-world cases of 5G implementation from other countries.
• Assess 5G coverage capabilities and limitations.
• Interpret and analyze 5G network quality parameters on a technical level.

The aim of the training is to explain what the 5G network is and what impact it has on smart technologies. I want to show you both the advantages and disadvantages of these technological relationships (5G / IoT) and show you the directions of development of the network, which - from the very beginning - was dedicated to the smart world.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at business managers who wish to learn only the critical information needed to make important decisions about the adoption of 5G. This course is not a technical course but rather a course on the strategic thinking needed to prepare for the arrival of 5G. The technical coverage and industry coverage will be adapted to the audience.

By the end of this training, participants will be able to:

• Identify the opportunities that 5G brings to the organization.
• Identify the risks that 5G poses to business and industry.
• Understand and distinguish the different technologies and standards underlying 5G.
• Understand the role that 5G will play in the further development of AI and IoT.
• Head up 5G initiatives that lead to improvements in customer service and operational efficiency.
• Initiate a strategy for adopting 5G products and services within the organization as well as across external partner organizations.

This instructor-led, live training in Dartmouth (online or onsite) is aimed at engineers who wish to understand the architectural components that make up 5G so as to begin implementing their own solutions on top of this groundbreaking new network.

By the end of this training, participants will be able to:

• Learn the fundamentals of 5G.
• Understand the 5G architecture and standards.
• Perform network function virtualization and network slicing.

This instructor-led, live training in Dartmouth (onsite or remote) is aimed at engineers who wish to implement security policies and technologies to secure 5G wireless networks.

By the end of this training, participants will be able to:

• Understand the 5G architecture and the challenges it poses to testing.
• Select and utilize the technology, tools, and applications available for 5G development and testing.
• Implement 5G testing practices to prevent failures at any of the different elements of a 5G network.
• Predict problems and optimize performance of 5G. 

This instructor-led, live training in Dartmouth (online or onsite) is aimed at technical persons who wish to use digital forensics tools and techniques to detect, extract, decode, analysis, interpret and report evidence recovered from a website or mobile device.

By the end of this training, participants will be able to:

• Understand and apply different forensic acquisition techniques to inspect web and mobile data.
• Select the most effective forensic tools to web and mobile data.
• Understand how to access and decode different types of data structures in web servers, databases, and mobile phones for analysis.
• Methodically extract, reconstruct, and inspect data as potential evidence of cybercrime.
• Understand the legal implications of surrounding digital forensic analysis.