“Gaming Disorder” Is A Mental Health Condition, WHO Declares

 If you open the latest edition of the International Statistical Classification of Diseases (ICD) handbook of the World Health Organization, you’ll notice that Gaming Disorder has been classified as a mental health condition.

In the handbook, the organization has placed it under the “Disorders due to substance use or addictive behaviors” category–it’s the same category which includes “Gambling Disorder” as well. Some people might find this placement apt as video games were already being called “digital drugs” by concerned parents and health specialists.

The organization further lists different reasons that could trigger the disorder:
  • Impaired control over gaming
  • Priority is given to gaming over other tasks
  • Escalation of gaming despite negative consequences
  • However, this inclusion isn’t being well received by all; many experts aren’t convinced that gaming disorder even exists in the first place.
On the other hand, Vladimir Poznyak, the WHO member who proposed the diagnosis, told CNN that the inclusion is a result of the trends and developments in the professional field as well as daily lives.

The experts have also argued that WHO’s criteria needs to be more narrowed down as it doesn’t offer a way to distinguish between severe and mild addiction.
Wednesday, 20 June 2018
Posted by Siva Priya
Tag :

Cloud Infrastructure and Services Training

Overview :
This course educates participants on building cloud infrastructure based on a cloud computing reference model. The reference model includes five fundamental layers (physical, virtual, control, orchestration, and service) and three cross-layer functions (business continuity, security, and service management) for building a cloud infrastructure. 

For each layer and cross-layer function, this course covers the comprising technologies, components, processes, and mechanisms. This course takes an open-approach to describe the concepts and technologies. Upon completing this course, participants will have the knowledge to make informed decisions on technologies, processes, and mechanisms required to build a cloud infrastructure.

Course Duration :
5 Days

Audience :
This course is intended for: 
Experienced IT professionals, who may not have had exposure to cloud computing
IT professionals responsible for architecting and managing cloud infrastructure
Students and professionals who are looking to pursue career in cloud computing

Prerequisite Knowledge/Skills :
Basic understanding of computer architecture, operating system, and database
Experience in compute system, storage and network infrastructure will be an added advantage

Course Objectives :
Upon successful completion of this course, participants should be able to:
  1. Describe cloud computing, its deployment and service models.
  2. Describe the cloud computing reference model and the key considerations to build a cloud infrastructure.
  3. Describe the key components and processes required to build physical, virtual, control, and service layers of a cloud infrastructure.
  4. Describe the service orchestration, business continuity, security, and service management functions for a cloud infrastructure.

Course Outline :
The content of this course is designed to support the course objectives.

• Module 1: Introduction to Cloud Computing
▬ Essential characteristics of cloud computing
▬ Cloud service models and cloud service brokerage
▬ Cloud deployment models

• Module 2: Building the Cloud Infrastructure
▬ Cloud computing reference model
▬ Deployment options and solutions for building cloud infrastructure
▬ Considerations for building cloud infrastructure

• Module 3: Physical Layer
▬ Compute system
▬ Storage system architectures
▬ Network connectivity

• Module 4: Virtual Layer
▬ Virtual layer functions
▬ Virtualization software
▬ Resource pool and virtual resources

• Module 5: Control Layer
▬ Control layer functions
▬ Control software
▬ Software-defined approach for managing IT infrastructure
▬ Resource optimization techniques

• Module 6: Service and Orchestration Layers
▬ Service layer functions
▬ Cloud portal
▬ Cloud interface standards
▬ Protocols for accessing cloud services
▬ Service orchestration
▬ Cloud service lifecycle

• Module 7: Business Continuity
▬ Business continuity and service availability
▬ Fault tolerance mechanisms
▬ Backup and replication
▬ Cloud application resiliency

• Module 8: Security
▬ Cloud security threats
▬ Cloud security mechanisms
▬ Governance, risk, and compliance

• Module 9: Service Management
▬ Service portfolio management processes
▬ Service operation management processes

For More Details : 
Learnage Academy
No :9/20 Palamner Road,
Kondasamuthram 
Gudiyatham.
+91 8189985551 
Tuesday, 23 January 2018
Posted by Siva Priya

Advanced Search Engine Optimization (SEO) Certification Training

What’s the focus of this course?
Redback's advanced SEO course has been designed to help you organically increase the visibility of your business. Not only do you learn the concepts of SEO (Search Engine Optimization) but you also get the best-in class hands-on practice on all the industry-related SEO tools and applications. With Simpliearn’s online SEO training, you will learn all the necessary skills to maintain your website/webpage’s listing at the top of the search engine’s list.

Our online SEO course will be a 360-degree learning module where you will get in-depth knowledge of SEO concepts such as keyword management and research, on-page and off-page optimization, website management, link building, URL management, planning and marketing a website, and a full round of coverage of analytics.

This SEO training course empowers you to manage the programming, content, and visibility of your website.

This course will not only help you to understand your customer’s needs but it will also help your website/webpage to stand out from that of your competitors. Our objective is to not only make you well versed in the SEO strategies and concepts but to give you the expertise to become an SEO specialist where you can influence the growth and strategic decision-making for your brand.

What are the course objectives?
Learn Basic to Advanced skills for Search Engine Optimization
Attract organic traffic to the website, boosting visibility and new customers
Understand how Search Engines Work
Learn multiple research methods for effective data collection
Apply research concepts to market your website successfully
Employ Best Practices and techniques to promote search engine rankings of your website
Learn how to manage your website and troubleshoot problems
SEO best practices, and tips and tricks on link building
Effectively measure the success of your website and increase your skillset with Analytics

Course Modules
SEO - Home
SEO - What is SEO?
SEO - Tactics & Methods
SEO - Web Site Domain
SEO - Relevant Filenames
SEO - Design & Layout
SEO - Optimized Keywords
SEO - Optimized Metatags
SEO - Title Optimization
SEO - Optimized Anchor
SEO - Content is the King
SEO - Verifying Web Site
SEO - Hiring an Expert
SEO - Link Building
SEO - Mobile SEO Techniques
SEO - Misc Techniques

What are the prerequisites for the certification?
Although not required, ideally, participants will first complete our Search Engine Optimization (SEO) Foundations course. Ultimately, participants will need a basic working knowledge of HTML, internet usage, and Microsoft Office for a successful learning experience.

For More Details Contact :
Learnage IT Academy 
No : 9/20 Palamaner Road,
Kondasamuthram, Gudiyatham.
+91 819985555
Sunday, 24 December 2017
Posted by Siva Priya

VMware vSphere: Skills for Operators [V6] training in Gudiyatham

Summary:  
- Formats: Classroom, Live Online, Onsite
- Length: 2 Days
Overview:
This two-day technical classroom training course is designed to help operators and administrators who create and manage virtual machines. This course provides you with a strong understanding of VMware virtual machine features in vSphere 6.0. By combining lecture and hands-on labs, this course will help you gain the skills required to work effectively with VMware virtual machines. This course is based on VMware ESXi™ 6.0 and VMware vCenter Server™ 6.0.

Objectives:   
By the end of the course, you should be able to meet the following objectives:
•  Describe virtualization, virtual machines, and vSphere components
•  Describe the concepts of server, network, storage, and desktop virtualization
•  Deploy, configure, clone, and manage virtual machines
•  Use vCenter Server to monitor virtual machine resource usage
•  Use VMware vSphere® vApp(s)™ to bundle and manage multiple interoperating virtual machines and software applications
•  Use VMware vSphere® vMotion® and VMware vSphere® Storage vMotion® to migrate virtual machines
•  Use VMware vSphere® Distributed Resource Scheduler™, VMware vSphere® High Availability, VMware vSphere® Fault Tolerance, VMware vSphere® Data Protection™, and VMware vSphere® Replication™ to optimize the performance of your vSphere virtual environment

Intended Audience:   
Technical professionals with system administration skills and operators responsible for managing virtual machines using ESXi and vCenter Server

Prerequisites:   
•  System administration experience on Microsoft, Linux, Solaris 
•  Understanding of basic network and storage concepts

Outline:   
1. Course Introduction
Introductions and course logistics
Course goals and objectives
Online vSphere resources
Location of online vSphere documentation

2. VMware Virtualization Overview
Compare the components and concepts of traditional architecture and virtual architecture
Identify the benefits of virtual architecture
Describe the VMware virtualization infrastructure
Describe vSphere products and features
Describe inventory objects managed by vSphere
Describe the main features of vCenter Server

3. vSphere Client and vSphere Web Client
Identify the differences between the VMware vSphere® Client™ and VMware vSphere® Web Client interfaces
Access, navigate, and customize vSphere Web Client
Use vSphere Web Client to monitor and manage vSphere objects
Perform searches in vSphere Web Client
Explain how roles and permissions can be assigned to users and user groups using vSphere Web Client

4. Creating and Managing Virtual Machines 
Create and manage virtual machines
Install a guest operating system and VMware Tools™
Explain how to use clones and templates to manage virtual machines
Explain the importance of content libraries
Configure virtual machines
Manage virtual machines using snapshots
Explain how raw device mapping (RDM) allows a virtual machine to directly access and use a storage device

5. Monitor Virtual Machine Resources
Explain virtual machine resource monitoring concepts
Monitor virtual machine resource usage using vCenter Server performance graphs and alarms
Describe and monitor tasks
Describe, monitor, and manage events
Describe, monitor, manage, and acknowledge alarms

6. Using vSphere vApp(s)
Describe a vApp
Create a vApp
Add objects to a vApp
Edit vApp settings
Clone a vApp
Manage power operations for a vApp

7. Migrating Virtual Machines
Describe the types of vSphere migration
Explain the importance of vSphere vMotion
Identify and verify vSphere vMotion requirements
Perform a vSphere Storage vMotion migration
Perform a shared-nothing vSphere vMotion migration
Explain how to migrate virtual machines across virtual switches, vCenter Server systems, and long distances

8. Using vSphere for Scalability and Business Continuity
Explain how vSphere DRS can be used to optimize the performance of the hosts and virtual machines in a cluster
Explain how vSphere HA can be used to increase the availability of your virtual machines
Explain how vSphere Fault Tolerance can be used for continuous availability of a virtual machine
Explain how vSphere Data Protection and vSphere Replication can be used to replicate backup and restore data in your virtual environment 

For More Details :
Contact :
Learnage Academy
No : 9/20 Palamaner Road,
Kondasamuthram, Gudiyatham.
+91 8189985551
Saturday, 18 November 2017
Posted by Siva Priya

Linux Course in Gudiyatham | Vellore

Overview
Linux has grown into an industry-leading software and service delivery platform that is used for everything from super computers and Web servers to virtualized systems and your Android phone. This growth creates a high demand for qualified Linux professionals. With CompTIA’s Linux+ Powered by LPI certification, you’ll acquire the fundamental skills and knowledge you need to successfully configure, manage and troubleshoot Linux systems.

Linux+ keeps you relevant 
The Linux footprint continues to grow. In addition to its significant presence in the server room, all the major public cloud providers offer Linux images as a way of speeding up virtual instance creation. Add on that Linux-based Android accounts for approximately 80% of the smartphone market and you’ll find many IT careers are founded on Linux skills.

Linux+ is widely recognized
Large organizations such as the U.S. Navy, Dell, HP, BAE Systems, Northrop Grumman and the U.S. Department of Defense employ CompTIA Linux+ Powered by LPI certified IT professionals.

Linux+ is your stepping stone for higher goals
IT professionals who earn their CompTIA Linux+ certification can receive the LPIC-1 from LPI. Earning a Linux+ certification is the beginning of a path that will lead you to advanced, distribution-specific Linux certifications such as SUSE Certified Engineer. 

Duration 
1 Month

Difficulty
Beginner

Contact :
Learnage Academy 
No : 9/20, Palamaneer Road,
Kondasamuthram .
Gudiyatham.
+91 8189985551
Tuesday, 7 November 2017
Posted by Siva Priya

Data Analytics and Big Data Training in Gudiyatham

What Will I Learn?
Successfully perform all steps in a complex Data Science project
Create Basic Tableau Visualisations
Perform Data Mining in Tableau
Understand how to apply the Chi-Squared statistical test
Apply Ordinary Least Squares method to Create Linear Regressions
Assess R-Squared for all types of models
Assess the Adjusted R-Squared for all types of models
Create a Simple Linear Regression (SLR)
Create a Multiple Linear Regression (MLR)
Create Dummy Variables
Interpret coefficients of an MLR
Read statistical software output for created models
Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical models
Create a Logistic Regression
Intuitively understand a Logistic Regression
Operate with False Positives and False Negatives and know the difference
Read a Confusion Matrix
Create a Robust Geodemographic Segmentation Model
Transform independent variables for modelling purposes
Derive new independent variables for modelling purposes
Check for multicollinearity using VIF and the correlation matrix
Understand the intuition of multicollinearity
Apply the Cumulative Accuracy Profile (CAP) to assess models
Build the CAP curve in Excel
Use Training and Test data to build robust models
Derive insights from the CAP curve
Understand the Odds Ratio
Derive business insights from the coefficients of a logistic regression
Understand what model deterioration actually looks like
Apply three levels of model maintenance to prevent model deterioration
Install and navigate SQL Server
Install and navigate Microsoft Visual Studio Shell
Clean data and look for anomalies
Use SQL Server Integration Services (SSIS) to upload data into a database
Create Conditional Splits in SSIS
Deal with Text Qualifier errors in RAW data
Create Scripts in SQL
Apply SQL to Data Science projects
Create stored procedures in SQL
Present Data Science projects to stakeholders

Requirements
Only a passion for success
All software used in this course is either available for Free or as a Demo version

Description
Extremely Hands-On... Incredibly Practical... Unbelievably Real!
This is not one of those fluffy classes where everything works out just the way it should and your training is smooth sailing. This course throws you into the deep end.
In this course you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities - you name it!
This course will give you a full overview of the Data Science journey. 

Upon completing this course you will know:
How to clean and prepare your data for analysis
How to perform basic visualisation of your data
How to model your data
How to curve-fit your data
And finally, how to present your findings and wow the audience

This course will give you so much practical exercises that real world will seem like a piece of cake when you graduate this class. This course has homework exercises that are so thought provoking and challenging that you will want to cry... But you won't give up! You will crush it. In this course you will develop a good understanding of the following tools:
SQL
SSIS
Tableau
Gretl
This course has pre-planned pathways. Using these pathways you can navigate the course and combine sections into YOUR OWN journey that will get you the skills that YOU need.

Who is the target audience?
Anybody with an interest in Data Science
Anybody who wants to improve their data mining skills
Anybody who wants to improve their statistical modelling skills
Anybody who wants to improve their data preparation skills
Anybody who wants to improve their Data Science presentation skills

The choice is yours. Join the class and start learning today!
Or you can do the whole course and set yourself up for an incredible career in Data Science.

For More Details :
Learnage Academy 
No: 9 , Palamaner Road,
Kondasamthram , Gudiyatham.
+ 91 8189985555.
Wednesday, 27 September 2017
Posted by Siva Priya

Cloud Computing Training at Gudiyatham

Course Introduction :
This graduate-level course investigates cloud computing models, techniques, and architectures. Cloud computing has evolved as a very important computing model, which enables information, software, and other shared resources to be provisioned over the network as services in an on-demand manner. Students will be exposed to the current practices in cloud computing.
Topics may include distributed computing models and technologies, Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS), virtualization, security and privacy issues, performance and systems issues, capacity planning, disaster recovery, Cloud OS, federated clouds, challenges in implementing clouds, data centers, hypervisor CPU and memory management, cloud hosted applications, and other advanced and research topics in cloud computing.

WHAT KIND OF BACKGROUND DO I NEED ?
A working knowledge of Internet, browsers, MS Windows and Web applications is helpful but not required. Programming experience is also helpful but not required. If you do not possess knowledge of Linux we teach you that too.

WHAT BENEFIT I DO GET FROM THE CLOUD COMPUTING COURSE?
Yes! The course presents the business advantages of the cloud and also the technical benefits it can provide. The technical discussions are at a level that attendees with a business background can understand and apply. Where technical knowledge is required, sufficient guidance for all backgrounds is provided to enable activities to be completed and the learning objectives achieved.

World's Most Popular Cloud Computing Technologies are,
Salesforce.com-The Worlds No.1 CRM.
VMware, Inc-Virtualizes Computing.
Amazon Web Services(AWS)-Broad & Deep Core Cloud Infrastructure Services.
Linux OpenStack-Open source software for creating private and public clouds.
Microsoft Azure.

Syllabus :
#MODULE - 1
Introduction to Computing
Recent Stages in the cloud Computing
About Grid Computing in Cloud
Utility Computing in Cloud
Basics of Cloud Cluster Computing
Distributed system Computing and Evolutions in Cloud Computing

#MODULE - 2
Overview of Cloud Computing
(NIST) Model Overview
Basics, Cloud Service History . Cloud Computing history.
Properties,Characteristics.
Advantages and Disadvantages of Cloud Computing,Cloud computing

#MODULE - 3
Architecture of Cloud Computing
stacks in Cloud computing
Traditional computing architecture Comparison, Services providers.
How Cloud Computing Works, Networking and web services roles in Cloud computing, (XaaS)Service Models, protocols used.
(PaaS) -Platform as a Service.
(IaaS) -Infrastructure as a Service.
(SaaS) -Software as a Service.

#MODULE - 4
Infrastructure as a Service
Resource Virtualization of Cloud Computing
Server and Network in Infrastructure as a service
Storage Virtualization in Cloud Computing

#MODULE - 5
Platform as a Service (PAAS)
IBasics of PaaS
(SOA) Service Oriented Architecture and What is PaaS?
Cloud Management and Platform
Computation,storage,Google app engine's,Salesforce explanations
Microsoft Azure in Platform as a service
Working of Salesforce platform

#MODULE - 6
Software as a Service (SAAS)
Basics to SaaS
Web services in Cloud Computing
Web OS and Web 2.0 working Principles
Case Studies

#MODULE - 7
Service Management
Agreements and Service Level
Accounting and Billing in Service Management
Cloud vs Traditional Discussions
Working of Scaling factor

#MODULE - 8
Data Management
Cloud Services and Scalability
Data in cloud Computing
Large Scale Data Processing
Cloud and infrastructure Management
Host level security
Network level security
Application level security

For Details contact :
Learnage Academy
No : 9, Palamaner Road,
Kondasamuthram ,
Gudiyatham.
+91 8189985555

Sunday, 24 September 2017
Posted by Siva Priya

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