Courses Details
Course Overview
This course focuses on advanced telecom topics covering M2M, IOT, SDN, NFV and cloud. Machine-to-Machine (M2M) communications have emerged as a cutting edge technology for next generation communications systems. It connects ‘things’ to the internet, transforming them into intelligent devices that exchange real time information and open up a range of possibilities for how telecom businesses are run. M2M along with Software Defined Networks, the Cloud   and Network Functions Virtualization (NFV). Participants attending the course will gain an understanding of the fundamental concepts, architecture and services provided of M2M, IOT, SDH, NFV and Cloud
Course Schedule
Target Audience
Telecom and IT Managers, Engineers and Technician
Course Prerequisites
Telecom Fundamentals
Expected Accomplishments
    Describe features, benefits, and operation of cloud computing
? Understand the evolution of the cloud computing
? Learn about common platforms and applications
? List cloud computing products and services
? Explore pros and cons of implementing a cloud computing platform
? Describe cloud computing standards and best practices
? Describe what IoT technology trends, deployments and convergence. 
? Step through the dynamics of the IoT markets, technology, trends and the convergence of platforms and services, with a special focus on the     product design, architecture and implementation.
? Describe what Network Functions Virtualization (NFV) is
? Describe virtualization, cloud computing and its service models 
? List NFV architecture and building blocks
? List NFV benefits and requirements
? Define NFV in the context of network functions 
Course Outline
Cloud Computing 
 What is 'The Cloud'™? 
 Traditional Models vs Cloud Computing 
 Cloud Characteristics 
 Cloud Deployments Models – Private, Community, Public, Hybrid 
 Enabling Technologies o Traditional Data Centres 
 Virtualization & MultiTenanting 
 SOA & Web Services 
 Service Grids & Autonomic Computing 
 Types of Cloud Services o SaaS, PaaS and IaaS o XaaS Payment Models 
 Examples of XaaS Services & Providers
 Pros & Cons of Cloud Computing
 Pros: Cost, Scalability, Resilience, Collaboration o Cons: Security, Availability, Trust, Deskilling 
 The Future of Cloud Computing 
 M2M Applications 
 M2M Standardization 
 M2M Protocols and Networking Technologies 
 M2M Security o Cellular M2M 
 M2M Challenges and Issues 
 M2M Ecosystem and Market 
 Communications for Home Software Defined Networking (SDN) 
 Limitations of Current Networking Technologies 
 Principals behind Network Transformation 
 SDN technical and business drivers 
 SDN What and Why o Analyzing the key Drivers of SDN 
 Cloud Computing, Big Data, Video and Multimedia and Mobile o Common centralized IT policies o Creating new applications and services 
 Software Defined Networking for service providers 
Network Functions Virtualization (NFV) 
 What is Network Functions Virtualization (NFV) 
 Relationship with Cloud Computing and Software Defined Networks (SDN) 
 SDN, OpenFlow, OpenStack and Cloud Computing (IaaS) principles o Principles of virtualization of servers 
 Benefits of Network Functions Virtualization (NFV) 
 The Changing Telecoms Industry Landscape and Transformation 
 Enablers for Network Functions Virtualization (NFV) o Principles of Cloud Computing o Industry Standard High Volume Servers o Challenges   for NFV
 NFV architecture o Why NFV and The IP Multimedia Subsytem (IMS) 
 VoLTE, LTE and IMS NFV requirements and benefits 
Internet of Things (IoT) 
 Concepts and Definitions of The Internet of Things (IoT) 
 Applications o IoT standards o Requirements 
 Functionalists and structure 
 IoT enabling technologies 
 IoT Architecture o Major component of IoT 
 Hardware, sensors, Systemson-a-Chip, firmware, device drivers, application software, connectivity, cloud, and security o Role of wired and   wireless communication 
 IoT communication and networking protocols 
 IoT services and applications o Security 
 Cloud Computing and the Internet of Things 
 Semantic Web 3.0 Standard for M2M and IoT 
 IoT Platforms 
 Challenges of adapting the concepts