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Aem Online Course Training

Aem Online Course Training

⏰24 hours | ▶️ 24 Videos | 📣 49 Participants | 🔥11 Reviews

Choose a Plan that Works for You

Course Description

Adobe Experience Manager is a complete CMS(Content Management Solution) for developing websites, Mobile Applications and Forms. It is used to handle your marketing assets. Through Adobe Experience Manager, you can increase your brand demand and Customer Loyalty. By 2025, Adobe Experience manager will become one of the top content management systems.

After analyzing its progress in the market, we have designed this course based on the latest trends.

Major companies using Adobe Experience Manager (AEM) are Dell, Barclays, Deloitte, Informatica, Mastercard, Microsoft, UBS, Thermo Fisher Scientific, DuPont, Palo Alto Networks.

The average salary of Adobe Experience Manager per annum is $168,200 – Neuvoo

Adobe Experience Manager (AEM) training will help you develop the skills and knowledge necessary for building custom AEM applications using templates and components.

It covers all the fundamentals of AEM including architecture, JCR, OSGi framework, etc., through real-life projects and this will enable you to become a certified AEM developer.

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

Course Content

1.AEM - Basic Developer Course Content

  • Overview of the OSGI Framework, JCR/OAK, REST, and Apache Sling Technologies
  • Overview of the Product and Platform architectures
  • Creating and Managing Templates and associated page-rendering Components
  • Installing and utilizing CRXDE and CRXDE Lite
  • Creating, Adding, and Managing Components
  • Taking input from Authors using Component and Design Dialogs
  • Defining and assigning a Design to a web site
  • Creating a custom Widget and CQ package
  • Overview of Workflow definition
  • Creating custom workflow process steps
  • OSGi bundles and consuming classed defined in them

2.Advanced Developer Course Content

  • OSGi components, services, annotations
  • Development models: Maven, vlt Sling,
  • Resource-Oriented architectures,
  • Resource Resolvers Sling Eventing
  • Sling Scheduling
  • JCR and Jackrabbit
  • JCR Search JCR Observations
  • JCR Versioning
  • JCR Import/Export Users,
  • Groups, Permissions
  • Unit Testing
  • Deployment & Packaging
  • Dispatcher and Caching
  • Reverse Replication
  • CQ-based Search

3.Advanced features in AEM 6.5

  • Dynamic Templates.
  • Policies
  • Layout
  • Creating base templates
  • Content fragments.
  • Creating content fragment templates
  • Content fragment variation and Authoring
  • Experience Fragments
  • Creating Experience fragment templates
  • Experience fragment variations and Authoring
  • Tagging
  • OSGI bundles(Create and Use).
  • Workflow basics.
  • Custom workflow.
  • Sling Models.
  • Sling Servlet.(Path based, Resource Based)
  • Query Builder.
  • Event handler.
  • Content services.

FAQ’s

(more…)

Terraform GCP Training

Terraform GCP Training

⏰36 hours | ▶️ 36 Videos | 📣 48 Participants | 🔥 27 Reviews

Choose a Plan that Works for You

Upcoming Batches PST

 Weekday 

May 16(1 HR A DAY)
06:30 PM PST
Enroll Now  →

 Weekday

May 31(1 HR A DAY)
06:00 AM PST
Enroll Now  →

 Weekend 

May 28(1 HR A DAY)
07:30 PM PST
Enroll Now  →

Upcoming Batches IST

 Weekday 

May 17(1 HR A DAY)
07:00 AM IST
Enroll Now  →

 Weekday 

May 31(1 HR A DAY)
06:30 PM IST
Enroll Now  →

 Weekend 

May 29(1 HR A DAY)
08:00 AM IST
Enroll Now  →

Course Description

Terraform Training enables you to discover an Opensource tool created by Hashicop.

Predominantly Terraform is a tool that is developing an Infrastructure for the project. We can put it as ‘Infrastructure as a code.’

Online Classes are the time-saving innovations introduced to the people who need to manage other works parallelly.

As I mentioned, Terraform is an Infrastructure as a  code tool that help with various multiple aspects like

It improves Automation speed, Improves reliability, Prevents configuration drift, and supports experimentation, testing, and Optimization.

Hashicorp administers a test to obtain Terraform Certification. You get facilitated with Certification if you performed well and qualified in that test.

Learn this exceptional course and benefit from an outstanding career.

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

Course Content

1. Introduction to Terraform

  • Introduction to terraform
  • Infrastructure Automation
  • Install Terraform
  • Providers
  • Resources
  • Basic Syntax
  • Exercise: Your First Script main.tf

2. Getting started with Terraform

  • Terraform Plan, show, Apply, Destroy
  • Exploring Terraform Registry
  • Interpolation
  • Tainting and Updating Resources
  • Terraform Console and Output
  • Terraform Variables
  • Breaking Out Our Variables and Outputs
  • Lab exercises: Breaking down main.tf into variables.tf, output.tf,

3. Terraform Modules

  • Introduction to Modules
  • Module repositories
  • First Basic Module
  • The Module codes
  • Main Terraform Code
  • Using git repositories to save modules
  • Lab exercises: Modules for Docker
  • Lab exercises: The Docker Image Module
  • Lab exercises: Modules the Container Module
  • Lab exercises: Modules – The Root Module

4. Terraform: Writing in a more organized way

  • Maps and Lookups
  • Terraform Workspaces
  • Breaking Out Our Variable Definitions
  • Null Resources and Local-Exec
  • Terraform Console

5. Terraform with AWS: lab Part 1

  • Setting up the system for AWS
  • AWS Storage: The S3 Bucket and Random ID
  • AWS Storage: The Root Module
  • AWS Compute: AMI Data, Key Pair, and the File Function
  • AWS Compute: The EC2 Instance
  • AWS Compute: User Data and Template Files
  • AWS Compute: The Root Module

6. Terraform

  • Remote state
  • Data Sources
  • Templates
  • Conditionals
  • Built-in Functions
  • Working with state files
  • Outputs, count and Join Function

7. Terraform Integration

  • Adding S3 backend
  • Integration with Git
  • Packer introduction
  • Terraform with Packer
  • Terraform with Jenkins
  • Terraform Formatting and Remote State
  • Terraform RandomID and S3 Buckets

8. Terraform with AWS: Lab Part 2

  • AWS Networking: VPC, IGW, and Route Tables
  • AWS Networking: Subnets, Security, and the Count Attribute
  • AWS Networking: The Root Module

9. Terraform Troubleshooting and Testing

  • Terraform Plan revisited
  • Debugging the script
  • Terraform Testing
  • Lab: Writing test scripts for Terraform.
  • Lab: Testing with Docker

10. Extending Terraform

  • Terraform with Azure cloud
  • Terraform with Google Cloud
  • Terraform Templates
  • Terraform plugins
  • Integrating Go Plugins

11. Terraform Best Practices

  • Best practices in writing terraform scripts
  • Terraform Workflow
  • Terraform projects
  • Other Hashicorp tools
  • New features of Terraform

FAQ’s

(more…)

Terraform Aws Training

Terraform Aws Training

⏰36 hours | ▶️ 36 Videos | 📣 48 Participants | 🔥 27 Reviews

Choose a Plan that Works for You

Upcoming Batches PST

 Weekday 

May 16(1 HR A DAY)
06:30 PM PST
Enroll Now  →

 Weekday

May 31(1 HR A DAY)
06:00 AM PST
Enroll Now  →

 Weekend 

May 28(1 HR A DAY)
07:30 PM PST
Enroll Now  →

Upcoming Batches IST

 Weekday 

May 17(1 HR A DAY)
07:00 AM IST
Enroll Now  →

 Weekday 

May 31(1 HR A DAY)
06:30 PM IST
Enroll Now  →

 Weekend 

May 29(1 HR A DAY)
08:00 AM IST
Enroll Now  →

Course Description

Terraform Training enables you to discover an Opensource tool created by Hashicop.

Predominantly Terraform is a tool that is developing an Infrastructure for the project. We can put it as ‘Infrastructure as a code.’

Online Classes are the time-saving innovations introduced to the people who need to manage other works parallelly.

As I mentioned, Terraform is an Infrastructure as a  code tool that help with various multiple aspects like

It improves Automation speed, Improves reliability, Prevents configuration drift, and supports experimentation, testing, and Optimization.

Hashicorp administers a test to obtain Terraform Certification. You get facilitated with Certification if you performed well and qualified in that test.

Learn this exceptional course and benefit from an outstanding career.

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

Course Content

1. Introduction to Terraform

  • Introduction to terraform
  • Infrastructure Automation
  • Install Terraform
  • Providers
  • Resources
  • Basic Syntax
  • Exercise: Your First Script main.tf

2. Getting started with Terraform

  • Terraform Plan, show, Apply, Destroy
  • Exploring Terraform Registry
  • Interpolation
  • Tainting and Updating Resources
  • Terraform Console and Output
  • Terraform Variables
  • Breaking Out Our Variables and Outputs
  • Lab exercises: Breaking down main.tf into variables.tf, output.tf,

3. Terraform Modules

  • Introduction to Modules
  • Module repositories
  • First Basic Module
  • The Module codes
  • Main Terraform Code
  • Using git repositories to save modules
  • Lab exercises: Modules for Docker
  • Lab exercises: The Docker Image Module
  • Lab exercises: Modules the Container Module
  • Lab exercises: Modules – The Root Module

4. Terraform: Writing in a more organized way

  • Maps and Lookups
  • Terraform Workspaces
  • Breaking Out Our Variable Definitions
  • Null Resources and Local-Exec
  • Terraform Console

5. Terraform with AWS: lab Part 1

  • Setting up the system for AWS
  • AWS Storage: The S3 Bucket and Random ID
  • AWS Storage: The Root Module
  • AWS Compute: AMI Data, Key Pair, and the File Function
  • AWS Compute: The EC2 Instance
  • AWS Compute: User Data and Template Files
  • AWS Compute: The Root Module

6. Terraform

  • Remote state
  • Data Sources
  • Templates
  • Conditionals
  • Built-in Functions
  • Working with state files
  • Outputs, count and Join Function

7. Terraform Integration

  • Adding S3 backend
  • Integration with Git
  • Packer introduction
  • Terraform with Packer
  • Terraform with Jenkins
  • Terraform Formatting and Remote State
  • Terraform RandomID and S3 Buckets

8. Terraform with AWS: Lab Part 2

  • AWS Networking: VPC, IGW, and Route Tables
  • AWS Networking: Subnets, Security, and the Count Attribute
  • AWS Networking: The Root Module

9. Terraform Troubleshooting and Testing

  • Terraform Plan revisited
  • Debugging the script
  • Terraform Testing
  • Lab: Writing test scripts for Terraform.
  • Lab: Testing with Docker

10. Extending Terraform

  • Terraform with Azure cloud
  • Terraform with Google Cloud
  • Terraform Templates
  • Terraform plugins
  • Integrating Go Plugins

11. Terraform Best Practices

  • Best practices in writing terraform scripts
  • Terraform Workflow
  • Terraform projects
  • Other Hashicorp tools
  • New features of Terraform

FAQ’s

(more…)

Terraform Azure Training

Terraform Azure Training

⏰36 hours | ▶️ 36 Videos | 📣 48 Participants | 🔥 27 Reviews

Choose a Plan that Works for You

Upcoming Batches PST

 Weekday 

May 16(1 HR A DAY)
06:30 PM PST
Enroll Now  →

 Weekday

May 31(1 HR A DAY)
06:00 AM PST
Enroll Now  →

 Weekend 

May 28(1 HR A DAY)
07:30 PM PST
Enroll Now  →

Upcoming Batches IST

 Weekday 

May 17(1 HR A DAY)
07:00 AM IST
Enroll Now  →

 Weekday 

May 31(1 HR A DAY)
06:30 PM IST
Enroll Now  →

 Weekend 

May 29(1 HR A DAY)
08:00 AM IST
Enroll Now  →

Course Description

Terraform Training enables you to discover an Opensource tool created by Hashicop.

Predominantly Terraform is a tool that is developing an Infrastructure for the project. We can put it as ‘Infrastructure as a code.’

Online Classes are the time-saving innovations introduced to the people who need to manage other works parallelly.

As I mentioned, Terraform is an Infrastructure as a  code tool that help with various multiple aspects like

It improves Automation speed, Improves reliability, Prevents configuration drift, and supports experimentation, testing, and Optimization.

Hashicorp administers a test to obtain Terraform Certification. You get facilitated with Certification if you performed well and qualified in that test.

Learn this exceptional course and benefit from an outstanding career.

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

Course Content

1. Introduction to Terraform

  • Introduction to terraform
  • Infrastructure Automation
  • Install Terraform
  • Providers
  • Resources
  • Basic Syntax
  • Exercise: Your First Script main.tf

2. Getting started with Terraform

  • Terraform Plan, show, Apply, Destroy
  • Exploring Terraform Registry
  • Interpolation
  • Tainting and Updating Resources
  • Terraform Console and Output
  • Terraform Variables
  • Breaking Out Our Variables and Outputs
  • Lab exercises: Breaking down main.tf into variables.tf, output.tf,

3. Terraform Modules

  • Introduction to Modules
  • Module repositories
  • First Basic Module
  • The Module codes
  • Main Terraform Code
  • Using git repositories to save modules
  • Lab exercises: Modules for Docker
  • Lab exercises: The Docker Image Module
  • Lab exercises: Modules the Container Module
  • Lab exercises: Modules – The Root Module

4. Terraform: Writing in a more organized way

  • Maps and Lookups
  • Terraform Workspaces
  • Breaking Out Our Variable Definitions
  • Null Resources and Local-Exec
  • Terraform Console

5. Terraform with AWS: lab Part 1

  • Setting up the system for AWS
  • AWS Storage: The S3 Bucket and Random ID
  • AWS Storage: The Root Module
  • AWS Compute: AMI Data, Key Pair, and the File Function
  • AWS Compute: The EC2 Instance
  • AWS Compute: User Data and Template Files
  • AWS Compute: The Root Module

6. Terraform

  • Remote state
  • Data Sources
  • Templates
  • Conditionals
  • Built-in Functions
  • Working with state files
  • Outputs, count and Join Function

7. Terraform Integration

  • Adding S3 backend
  • Integration with Git
  • Packer introduction
  • Terraform with Packer
  • Terraform with Jenkins
  • Terraform Formatting and Remote State
  • Terraform RandomID and S3 Buckets

8. Terraform with AWS: Lab Part 2

  • AWS Networking: VPC, IGW, and Route Tables
  • AWS Networking: Subnets, Security, and the Count Attribute
  • AWS Networking: The Root Module

9. Terraform Troubleshooting and Testing

  • Terraform Plan revisited
  • Debugging the script
  • Terraform Testing
  • Lab: Writing test scripts for Terraform.
  • Lab: Testing with Docker

10. Extending Terraform

  • Terraform with Azure cloud
  • Terraform with Google Cloud
  • Terraform Templates
  • Terraform plugins
  • Integrating Go Plugins

11. Terraform Best Practices

  • Best practices in writing terraform scripts
  • Terraform Workflow
  • Terraform projects
  • Other Hashicorp tools
  • New features of Terraform

FAQ’s

(more…)

Python Developer Training-the only course you need

Python Developer Training-the only course you need

⏰28 hours | ▶️ 26 Videos | 📣 279 Participants | 🔥 146 Reviews

Choose a Plan that Works for You

Course Description

So you want to learn Informatica IDQ? Great job!

Do you know Informatica IDQ is the most trending Data Quality course?

There are massive opportunities in Informatica IDQ as it leads the Data Quality market.

Our Informatica Data Quality course is a job oriented course ie at the end of the course you can
easily clear interviews or onboard into an ongoing Informatica IDQ project.

Also the salaries in Informatica IDQ is very impressive (Indeed.com report)

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

Course Content

1. Introduction to Data Quality

  • What is Data Quality?
  • Google trend report on DQ
  • What is the scope of this DQ course?
  • Why do we need DQ?
  • Is DQ a Hype or is it Real?
  • Where does Informatica stand (Compared to other competitors)?
  • Google trend report on Competitors and comparison
  • Naukri and Monster job openings
  • Salary report from Indeed & Payscale
  • A walk through on the course content.

2. What is Informatica Data Quality

  • Short Informatica Data Quality Demo with a Real time Project
  • Navigation
  • What is the scope of Informatica Data Quality Training
  • Important options and Shortcuts in the tool
  • Types of Tools in Informatica Data Quality (Walkthrough)
  • What’s the Architecture, SOA, Client server or Cloud
  • Informatica Data Quality Cloud?

3. Installation of Informatica Data Quality

  • Supported Systems (Is Windows, Linux, Mac supported)
  • What is the Alternative it it’s not Supported(Virtualbox)
  • Supported Databases
  • Integration with other tools.
  • Limitations

4. Different components of Informatica Developer tool

  • GUI and login
  • What are Mappings?
  • Mapplets
  • Transformations
  • Content Sets
  • Data Objects

5. Analyst Collaboration

  • Reviewing information from the Analyst
  • Comments/Tags
  • Creating/adding to Reference tables

6. Developer Profiling

  • Join Analysis Profiling
  • Column Profiling
  • Multi Object Profiling
  • Mappings and transformations
  • Mid-stream profiling
  • Comparative profiling

7. Data Standardization

  • Cleanse, transform and parse data
  • Develop data standardization mapplets and mappings

8. Address Validation

  • Reusable AV Transformation
  • AV Transformation Properties
  • AV Inputs and Outputs
  • Reusable AV Mapplet

9. Matching

  • Grouping data
  • Analyze Detail Report
  • DQ Matching
  • Cluster Analysis Report
  • Matching Mapplets

10. Labeling and parsing the data

  • What is data Labelling?
  • What is parsing and how to perform it.
  • Different use cases

11. Consolidation

  • Associate and Consolidate data

12. Data Quality Assistant

  • Build Mappings to create and populate the DQA tables
  • Perform manual Consolidation and Bad Record Management

13. PowerCenter Integration

  • Run DQ Mappings in PowerCenter

14. Object Import/Export

  • Import Projects using both Basic and Advanced methods
  • Export Projects

15. Parameters

  • How to use Parameters in Data Quality mappings, transformations and reference tables

16. Content

  • What content is available with IDQ9?
  • Content Management Service
  • Accelerators
  • Core Accelerator

17. CanopY project in IDQ

  • Project Overview
  • How to configure an End to end real-time project.
  • Project Guidance
  • Project Submission and Verification

18. Mock Interviews with Questions and Answers Discussion

  • Functional Q&A
  • Technical Q&A
  • Project Q&A (For Multiple Domains like Banking, Retail, Insurance, Ecommerce etc)
  • Question for Fresher’s and Experienced (How do they differ?)
  • How to justify if the resource is not certified.

19. Certification Preparation Session

  • How difficult is it to clear the certifications
  • Levels of certification
  • How to register for them(Technical details)
  • Can I apply for certification if my company is not a partner
  • If not, what is the alternative
  • Certification Mock Q&A discussion

20. Resume Preparation Help

  • What’s a Best resume
  • What if my resume is worst
  • How to prepare a great resume
  • Should I be on LinkedIn, Of course Yes
  • Providing Photo, Facebook, LinkedIn, Twitter Links in a Resume
  • Create Blog, Quora, Stackexchange etc and provide the links in resume.
  • SEO in Naukri (how to be on the Top)
  • Creating Multiple Profiles in case you need a job urgently(Naukri lookhole)
  • Floating your resume in Monster, indeed, Shine etc.
  • How to Search for Job providers and jobs in linkedIn
  • Aggressive Follow, that’s what counts

21. Post Job Support

  • How can we support you if you are in a project
  • Can we help you in a disaster recovery process
  • How to be in touch with my colleagues and experts

FAQ’s

(more…)

Python Certification Course

Python Certification Course

⏰28 hours | ▶️ 26 Videos | 📣 279 Participants | 🔥 146 Reviews

Choose a Plan that Works for You

Course Description

So you want to learn Informatica IDQ? Great job!

Do you know Informatica IDQ is the most trending Data Quality course?

There are massive opportunities in Informatica IDQ as it leads the Data Quality market.

Our Informatica Data Quality course is a job oriented course ie at the end of the course you can
easily clear interviews or onboard into an ongoing Informatica IDQ project.

Also the salaries in Informatica IDQ is very impressive (Indeed.com report)

Features

✅Lifetime access ✅Lifetime video access
✅Real-time case studies ✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

Course Content

1. Introduction to Data Quality

  • What is Data Quality?
  • Google trend report on DQ
  • What is the scope of this DQ course?
  • Why do we need DQ?
  • Is DQ a Hype or is it Real?
  • Where does Informatica stand (Compared to other competitors)?
  • Google trend report on Competitors and comparison
  • Naukri and Monster job openings
  • Salary report from Indeed & Payscale
  • A walk through on the course content.

2. What is Informatica Data Quality

  • Short Informatica Data Quality Demo with a Real time Project
  • Navigation
  • What is the scope of Informatica Data Quality Training
  • Important options and Shortcuts in the tool
  • Types of Tools in Informatica Data Quality (Walkthrough)
  • What’s the Architecture, SOA, Client server or Cloud
  • Informatica Data Quality Cloud?

3. Installation of Informatica Data Quality

  • Supported Systems (Is Windows, Linux, Mac supported)
  • What is the Alternative it it’s not Supported(Virtualbox)
  • Supported Databases
  • Integration with other tools.
  • Limitations

4. Different components of Informatica Developer tool

  • GUI and login
  • What are Mappings?
  • Mapplets
  • Transformations
  • Content Sets
  • Data Objects

5. Analyst Collaboration

  • Reviewing information from the Analyst
  • Comments/Tags
  • Creating/adding to Reference tables

6. Developer Profiling

  • Join Analysis Profiling
  • Column Profiling
  • Multi Object Profiling
  • Mappings and transformations
  • Mid-stream profiling
  • Comparative profiling

7. Data Standardization

  • Cleanse, transform and parse data
  • Develop data standardization mapplets and mappings

8. Address Validation

  • Reusable AV Transformation
  • AV Transformation Properties
  • AV Inputs and Outputs
  • Reusable AV Mapplet

9. Matching

  • Grouping data
  • Analyze Detail Report
  • DQ Matching
  • Cluster Analysis Report
  • Matching Mapplets

10. Labeling and parsing the data

  • What is data Labelling?
  • What is parsing and how to perform it.
  • Different use cases

11. Consolidation

  • Associate and Consolidate data

12. Data Quality Assistant

  • Build Mappings to create and populate the DQA tables
  • Perform manual Consolidation and Bad Record Management

13. PowerCenter Integration

  • Run DQ Mappings in PowerCenter

14. Object Import/Export

  • Import Projects using both Basic and Advanced methods
  • Export Projects

15. Parameters

  • How to use Parameters in Data Quality mappings, transformations and reference tables

16. Content

  • What content is available with IDQ9?
  • Content Management Service
  • Accelerators
  • Core Accelerator

17. CanopY project in IDQ

  • Project Overview
  • How to configure an End to end real-time project.
  • Project Guidance
  • Project Submission and Verification

18. Mock Interviews with Questions and Answers Discussion

  • Functional Q&A
  • Technical Q&A
  • Project Q&A (For Multiple Domains like Banking, Retail, Insurance, Ecommerce etc)
  • Question for Fresher’s and Experienced (How do they differ?)
  • How to justify if the resource is not certified.

19. Certification Preparation Session

  • How difficult is it to clear the certifications
  • Levels of certification
  • How to register for them(Technical details)
  • Can I apply for certification if my company is not a partner
  • If not, what is the alternative
  • Certification Mock Q&A discussion

20. Resume Preparation Help

  • What’s a Best resume
  • What if my resume is worst
  • How to prepare a great resume
  • Should I be on LinkedIn, Of course Yes
  • Providing Photo, Facebook, LinkedIn, Twitter Links in a Resume
  • Create Blog, Quora, Stackexchange etc and provide the links in resume.
  • SEO in Naukri (how to be on the Top)
  • Creating Multiple Profiles in case you need a job urgently(Naukri lookhole)
  • Floating your resume in Monster, indeed, Shine etc.
  • How to Search for Job providers and jobs in linkedIn
  • Aggressive Follow, that’s what counts

21. Post Job Support

  • How can we support you if you are in a project
  • Can we help you in a disaster recovery process
  • How to be in touch with my colleagues and experts

FAQ’s

(more…)