Is your organization 5G ready?
Objectives of this course:
At the end of this course participants would achieve high level key aspects of 5G architecture (How the network will be designed and implemented),Use Cases (Market Aspects and Services that can generate revenue).
Participants will be introduced to 5G Network Applications & Use cases including machine-to-machine (M2M) Communications, Remote Healthcare Applications, Autonomous Cars, 5G Wearables, Smart Cities/Smart Grids, Industry Robotics, Massive Internet of Things (IoT) connectivity etc.
Participants will learn about Network Overview and various new approaches to be taken by telecommunication companies for implementing 5G.
Prerequisites:
Attendees should have General knowledge of Telecom Industry
Module 1: 5G Introduction
• 5G Introduction • Need of 5G • 5G market and Global Strategies • Evolution history of 5G Networks • 4G vs 5G • 5G Requirements • 5G Specifications • Speed • Standards • Capabilities • 5G Features • New 5G Use cases • Roadmap to 5G services
Module 02: 5G Overall Architecture and Deployment Options
• Current status of 5G with perspective of Global Deployment • 5G deployment options and current status • 5G Radio network architecture • 5G Core network • 5G Services • Slicing of 5G networks • 5G and IoT • 5G and V2X • Ultra-fast Internet with 5G
Course Trainer:
Gaurav Bhatia is a Senior Technologist & Telecom Consultant with expertise in 5G CS & PSIP Core solutions IMS, EPC, VoLTE, Charging, PCRF, VAS, SDM- HSS, OSS,4G,5G, IoT ,Wireless, Mobile messaging, with combined work experience of 13 plus years in Telecom Product & Technology Training and Technical Consultancy with Global Telecom Service Providers and Telecom Network Manufacturers including CISCO, AT&T, MEDITEL – Morocco, – PT telecom – Lisbon, CELCOM-Malaysia, , ‘Yes ‘Optus- Australia., O2 Czech Republic, , BANGLALINK, Reliance communications, Etisalat, Nokia Networks ,Huawei Telecommunications , Bharti -Airtel ,BSNL ,Idea Ericsson, Vodafone, NTT DoCoMo , SingTel M2 Singapore, DTAC -Bangkok, NAK- Iran,NTT – Japan, Ericson ,NBN Australia.
Introduction:
5G (5th generation mobile networks) is major overhaul of existing wireless communication networks with ability to cater and deploy new use cases .5G would bring lots of technologies under common platform It’s is a new type of network i.e. a platform for innovations that will not only enhances today’s mobile broadband services, but will also expand mobile networks to support a vast diversity of devices and services and connect new industries with improved performance, efficiency, and cost. 5G Explained would give participants insights of new uses case and new aspects of technologies and understanding of Overall architecture and associated concepts.
Objectives of this course:
At the end of this course participants will have an in-depth understanding of the following:
5G System architecture (Access Network, Transport,5G Core network), nodes / functions, interfaces / reference points, basic procedures and main architectural ideas.
The course will be building blocks to 5G like NFV/SDN and network slicing and how these are used to make the 5G System more efficient and flexible than earlier generations of 3GPP networks.
Prerequisites:
Attendees should have basic understand of any of below technologies
• Circuit
• packet switched
• Radio networks
• LTE
• EPC
• VoLTE
Module 1: 5G Introduction
• 5G Introduction • Need of 5G • Evolution history of 5G Networks • 4G vs 5G • 5G Requirements • 5G Specifications • Speed • Standards • Capabilities • 5G Features • 5G Use cases • Roadmap
Module 2 : Initial deployment of 5G Architecture Transition from 4G to 5G
• Initial Deployment of 5G with 4G EPC and 5G and 4G RAN • 4G Network nodes, Roles and Functions • EPS bearers • Key Reference points • Basic Signalling procedures • 4G QoS Introduction for 5G initial deployment • Architecture transition from Evolution from 4G to 5G • 5G Overall architecture
Module 3: 5G RAN
• 5G RAN Architecture • RAN Protocols • 5G Transport • NG-RAN Nodes Interfaces • NR- UP and CP Stack • New RRC State • Dual connectivity • Deployment Scenarios • RAN Identifiers
Module 4: 5G Core Network
• CUPS transition • Collocation of 5G with EPC • Network function transition from 4G Core • New 5GC networks functions • 5G Core Network Architecture and transition models • 5G Interfaces • 5G Core Protocols • 5G Service based Architecture • 3GPP and Non 3GPP access reference points • 5G Core identifiers
Module 5: Voice over 5G
• Vo5G • 5G Voice Alternatives • VoNR via IMS • IMS position in 5GC • IMS Core Architecture • IMS reference points • New 5G interfaces for IMS • IMS Identifiers
Module 06: Virtualization and Edge computing in 5G
• Claudication of elements and benefits • Virtualization Introduction • C-RAN • 5G Virtualized Architecture • Network Functions Virtualization • MANO • NFV in 5G • MEC Introduction • MEC in 5G • Benefits of MEC
Module 8: Network Slicing in 5G
• Network Slicing Introduction • Need of Slicing • 4G Vs 5G slicing • Slicing identifiers • Slicing call flows
Module 9 : QoS in 5G
• 5G QoS Overview • 4G vs 5G QoS • New QoS Architecture • QoS Specs • QoS Identifiers • 5G QoS Standards and parameters • New QoS protocol
Module 10: 5G Security
• New 5G Security features • 5G UE identifiers • 5G Authentication schemes • New Security network functions • Authentication call flow
Course Trainer:
Gaurav Bhatia is a Senior Technologist & Telecom Consultant with expertise in 5G CS & PSIP Core solutions IMS, EPC, VoLTE, Charging, PCRF, VAS, SDM- HSS, OSS,4G,5G, IoT ,Wireless, Mobile messaging, with combined work experience of 13 plus years in Telecom Product & Technology Training and Technical Consultancy with Global Telecom Service Providers and Telecom Network Manufacturers including CISCO, AT&T, MEDITEL – Morocco, – PT telecom – Lisbon, CELCOM-Malaysia, , ‘Yes ‘Optus- Australia., O2 Czech Republic, , BANGLALINK, Reliance communications, Etisalat, Nokia Networks ,Huawei Telecommunications , Bharti -Airtel ,BSNL ,Idea Ericsson, Vodafone, NTT DoCoMo , SingTel M2 Singapore, DTAC -Bangkok, NAK- Iran,NTT – Japan, Ericson ,NBN Australia.
This is a comprehensive two weeks course designed to help participants learn and understand how to use GIS in projects monitoring and evaluation.
The participants will be exposed to Data Collection, Management, Updating, Analysis, Visualization and Reporting in a GIS environment.
They will also learn how to integrate spatial and non-spatial data from different sources and displaying the same in a GIS environment.
Course Outline:
Day 1
- Basic concepts of GIS
- The QGIS Interface
- Understanding GIS data models
- Adding GIS data to QGIS
Day 2
- GIS Data sources and types
- Exploring the GIS data and features on Map View
- Creating a new project
- Saving your project
Day 3
- Geoprocessing vector data
- Working with tables in QGIS
- Migrating data into QGIS
Day 4
- Understanding the coordinate system
- Displaying and overlying data from different sources
- Statistical analysis and spatial queries
- Field and raster calculators
Day 5
- Data Classification
- Symbolizing GIS data
- Labeling of features
- Designing GIS Maps for communication
Day 6
- Database Management
- Spatial Analysis
Day 7
- Development of field data collection tools
- Basics of mobile mapping
- Designing field data collection tools
Day 8
- Coding data collection tools using ODK
- Understanding real time, near-real time and downloading of field data
Day 9
- Practical field data collection
- Processing of field data
Day 10
- An understanding of data and information sharing methods
- Dissemination and Reporting in monitoring and evaluation
Course Evaluation, Award of Certificates and Closure!
Course Overview:
This intensive course provides the foundation for: Understanding and appreciating GIS, What it can do, and How others are using it.
Participants shall learn the basic functions of a GIS, GIS Terminologies, and why GIS is powerful tool for data analysis, retrieval and visualization using Esri’s ArcGIS for Desktop software.
In course exercises, students work with ArcMap, an application within ArcGIS Desktop, to visualize geographic data, create maps, query a GIS database, and perform spatial analysis.
Participants shall also use ArcGIS online to share GIS data and analysis results.
Target Audience:
This course is for those who are new to geographic information systems (GIS) and ESRI’s ArcGIS Software and that wish to learn what GIS is and how one can use it in his area of specialisation.
Prerequisites and recommendations:
No GIS experience required. This is a beginner level class. Participants should know how to use Windows-based software for basic file management and browsing.
Course Goals:
After successfully completing this course, you will have acquired an understanding of general GIS terms and the basic functionality of Esri’s ArcGIS Desktop software. These new skills include:
• Explain what a GIS is and what it can do
• Create GIS maps in ArcMap
• Access and query a GIS database using ArcMap
• Display map data using symbology and labels
• Describe common GIS data formats
• Perform simple GIS Analysis
Course Outline:
Day 1: INTRODUCTION TO GIS & GIS DATA
Day 2: DESIGNING MAPS: SPATIAL ANALYSIS AND MAP SHARING
Day 3: MAP AUTHORING AND VISUALIZATION
Day 4: DATA EDITING AND MAP LAYOUTS
Day 5: SPATIAL ANALYSIS AND INFORMATION SHARING
: Course Recap
: Course Evaluation
: Course Conclusion and Award of E-Certificates
Course Content
Day 1 Introduction to GIS
- What is GIS?
- Applications of GIS
- Components of GIS?
- Benefits of GIS?
GIS Data
- GIS Data Types & Models
GIS Data Acquisition Methods
- Sources of GIS Data
- Characteristics of GIS Data
Day 2 Introduction to QGIS
- Software Installation
- Software configuration
- User Interface
- Data Processing Tools
- Working with Data in QGIS
Introduction to GIS Maps
- Type of maps
- Use of maps
Day 3 GIS Data Management
- Data Creation
- Data Attribution
- Metadata
- Data Editing
- Data Storage
Spatial Data Analysis
- Using Geoprocessing Tools
- Labels
Day 4 Spatial Data Analysis
- Data Styling
- Data Queries
- Writing query methods
- Using field calculator
Day 5 Data Classification
Map Making
Course Recap
Course Overview:
This intensive five day course provides the foundation for: Building GIS databases and performing analysis in ArcGIS.
Participants shall learn how to create GIS databases and manage their data in a GIS databases. In addition, they will learn the general guidelines of performing all types of analysis. The course will offer an understanding of the types of analysis that can be performed in ArcGIS desktop environment, the kind of questions that each type answers and the tools used to perform each type. The course will be delivered through presentations, practical exercises and lesson reviews. Esri ArcGIS desktop application will be used in this course.
The programme is designed to help you use GIS to solve spatial related problems and challenges, from disaster analysis, development and policy planning.
Course Goals:
After successfully completing this course, you will have acquired an understanding of Esri’s geodatabase format and performing spatial analysis in ArcGIS Desktop platform. These new skills include:
• Building GIS databases
• Managing spatial and non-spatial datasets in a geodatabase
• An in-depth understanding of ArcGIS analysis workflow and its application in answering specific analysis questions
• Building geoprocessing models to automate the analysis process
• Sharing geoprocessing results
Course Requirements:
Participant to have installed ArcGIS software
Advanced GIS using QGIS
Period: 5 Days
Course Outline:
Day 1
Spatial Data Preparation
- Elements of Spatial data
- Metadata
- Vector vs Raster data
Spatial data Storage
Methods of data storage
Introduction to geo-databases
Day 2:
Geo-Databases
- Types of geodatabase
- Data Access from Geodatabase
Data Relationships
- Joins
- Intersects
Day 3:
Advanced spatial Analysis
- Proximity Analysis
- Overlay Analysis
- Statistical Analysis
Data Symbology & Classification
- Layer Styles
- Data classes
Day 4:
Introduction to raster data
- Sources of Raster data
- Raster data analysis
- Overlay analysis
- Suitability Analysis
Day 5:
Analyzing spatial relationships
Sharing GIS Solutions
Course Recap
Course Conclusion
In these courses, the trainees will be provided with:
- Daily exercises will be done after the training for the day
- Power Point presentations for the day
- Written guides, where necessary
- 12 hrs support (During the day)
Web mapping is the process of using maps delivered by geographical information systems (GIS) on the internet through client- server architecture.
Web mapping usually involves a web browser to consume services.
These services include serving interactive maps, GIS data and location based services.
Participants will learn how to prepare and share geographic information so that it can effectively be used by colleagues, decision-makers, and non-GIS audiences.
The course will focus on:
– Web Mapping Technology,
– Web Mapping architecture, application and tools.
The goal of this training course is to introduce users to the concept of web mapping.
This course will cover the following topics
Day 1:
Web GIS Basics
Basics of Web GIS Architecture
Web Services and Mashups
An introduction / Review of ArcGIS Online
Day 2:
Basics of Web programing and development:
HTML, JavaScript and CSS.
Day 3:
Spatial Databases: Postgres-Postgis spatial database
Day 4:
Publishing map services on Geoserver
Day 5:
Consuming map services and sharing data:
Introduction to open source and proprietary web mapping API’s and scripting environments.
Software/Applications to be used
– Text editor / Notepad++
– Qgis v 2.8+
– Postgres
– Tomcat
– Geoserver
– ArcGIS (Desktop& Server where applicable)
This course aims at providing a complete field to office mobile mapping workflow to the participants. Participants shall use their mobile devices (Mobile Phones and GPS) to collect data, load the data into GIS and create maps from data collected. The course will enable the participants to also edit existing databases in the field and creating new data using field data collection techniques (Kobo and ODK).
MODULE I
• General Introduction to Mobile Data gathering
• Data and types of Data
• Introduction to ODK collect and Kobo Collect
• Data aggregation, storage and dissemination using ODK and Kobo Collect
• Types of questions
Preparing the mobile phone for data collection
• Installing applications: ODK Collect
• Configuring the device (Mobile Phones)
• Uploading the form into the mobile devices
(Hands-on Exercise)
MODULE II
Basic Survey Authoring
Intermediate Survey Authoring
Advanced Survey Authoring
• Conditional Survey Branching
• Grouping questions
• Making dynamic calculations
MODULE III: Hosting and Exporting survey data (Online)
Introduction to the server side component of ODK
• ODK Aggregate
• Kobo Toolbox
Hosting Survey Data (Configuring a local server)
• Configuring ODK Aggregate on a local server
• Ona account registration
Downloading data
• Manual download (ODK Briefcase)
• Using the online server interface (ona.io)
Hands-on Exercise (Practical with a sample questionnaire)
ANALYSIS
ODK and GIS data conversion
Exporting data to Fusion tables using
Hand-on Exercise
Course Summary
Discussion on the Choice of Platform
Considerations for Integrating Mobile Data Gathering Tools into the Project
The objective of this hands-on course is to teach Statistical and Spatial Data Analysis in a practical manner to enable you solve any complex Analysis with ease using R programming.
The training will take 5 days comprising of presentations and practical sessions facilitated by our team of data experts.
The R-studio software will be used for the training.
Course Outline:
Day One: Course Introduction
- Presentation on understanding and analyzing big data
- Overview on basics of R-studio software
- Installation of R software and packages to be used throughout the training
- Overview of the data used for practice and training
Day Two: Data Quality Check and Exploration
- Overview of dlookr package for data diagnosis, exploration and transformation
- Calculating descriptive statistics, testing normality in continuous data
- Use of diagnosis function to run data quality checks and generate data diagnosis report
- Visualization of the data using plots i.e box plots, scatter and bar charts
Day Three: Correlation and Regression Analysis
- Use of correlation coefficient to determine a relationship between continuous variables using correlation function and other correlation test e.g Pearson and Spearman test.
- Visualization of the correlation matrix using plots
- Regression analysis for modeling relationship between variables using simpler linear regression and multiple linear regression model
- Interpretation of results and visualization of the results using plots
Day Four: Simulation and Statistical Tests
- Data simulation
- Use of commonly used statistical tests to measure significance of data. E.g. One sample and two sample-Test, Chi-Squared Test, and Shapiro
- Explore more tests
Day Five: Working with Real Data
- Spatial Analysis
- Correlation analysis
- Modeling
- Accuracy assessment
- Presentation
Course Conclusion
Course Evaluation by the participants
Award of Certificates