AWS SYSOPS ASSOCIATE TRAINING

COURSE OVERVIEW

WE OFFER

 

  • Instructor-led Classroom-based & Live Virtual Online Training
  • Hands-on Training
  • Free Study Material
  • Lab Exercises
  • Unlimited Lab Access
  • 100 % Passing Guarantee or Free Re-training

COURSE INFORMATION

 

  • Fast Track
    Days: Monday-Friday
    Duration: 5 days
  • Slow Track
    Days: Saturdays / Sundays / Evenings
    Duration: 5 Weeks

Study Modes:

  • Classroom / On-site
  • Live Virtual

AWS SYSOPS ASSOCIATE TRAINING

For More information call us on

0208 123 7574

COURSE INSIGHT

Data Science is an arena of reconstructing unstructured data to a structured model and confer it into knowledge. There are several tools and programming languages that are used in this process, and R is one such effective and required programming language for this purpose. Data Science R Training is one such training program that will help you to learn R Programming for Data Science from basic to advance level.

This training program will let you learn how to use variables, matrix, functions and other models of R programming required for Data Science. At advance level, you learn to use R programming language in collaboration of Machine learning algorithm for Data Science.

Prerequisites

  • This course has no specific prerequisites.
  • Fundamental knowledge in any high-level programming language (preferably R) is ideal but not required.
  • Basic knowledge of statistics would be considered as an added advantage.
  • Basic knowledge of computer hardware and software is ideal but not required.

What will you gain after this course

  • Through this course, you can stay on top of others in the talent race.
  • You will be recognized as a professional Data Scientist.
  • You will be recognized as an R Programmer, as well.
  •  With the help of this course, you will be recognized as a Business intelligence (BI) expert.

COURSE OUTLINE

  • Create and maintain metrics and alarms utilizing AWS monitoring services
  • Recognize and differentiate performance and availability metrics
  • Perform the steps necessary to remediate based on performance and availability metrics
  • Implement scalability and elasticity based on use case
  • Recognize and differentiate highly available and resilient environments on AWS
  • Identify and execute steps required to provision cloud resources
  • Identify and remediate deployment issues
  • Create and manage data retention
  • Identify and implement data protection, encryption, and capacity planning needs
  • Implement and manage security policies on AWS
  • Implement access controls when using AWS
  • Differentiate between the roles and responsibility within the shared responsibility model
  • Apply AWS networking features
  • Implement connectivity services of AWS
  • Gather and interpret relevant information for network troubleshooting
  • Use AWS services and features to manage and assess resource utilization
  • Employ cost-optimization strategies for efficient resource utilization
  • Automate manual or repeatable process to minimize management overhead

Benefits of a SAP Certification

  • Gain a highly recognised, on-demand accreditation of excellence
  • Differentiate yourself in a crowded market
  • Execute tasks with confidence and skills
  • Attain higher wages and billable rates with a highly valued credential

Dates And Prices

Start Date TimingDaysDuration Mode Of TrainingRequest Price/Future Dates
10/10/2021
10:00 – 18:00Sunday Only 5 WeeksClassroom Based / Live Virtual Online (Flexible schedule)
11/10/2021
10:00 – 18:00Monday-Friday 5 DaysClassroom Based / Live Virtual Online
31/10/2021
10:00 – 18:00Sunday Only 5 WeeksClassroom Based / Live Virtual Online
06/11/2021
10:00 – 18:00Saturday Only 5 WeeksClassroom Based / Live Virtual Online
08/11/2021
10:00 – 18:00Monday-Friday 5 DaysClassroom Based / Live Virtual Online
06/12/2021
10:00 – 18:00Monday-Friday 5 DaysClassroom Based / Live Virtual Online
27/12/2021
10:00 – 18:00Monday-Friday 5 DaysClassroom Based / Live Virtual Online
03/01/2022
10:00 – 18:00Monday-Friday 5 DaysClassroom Based / Live Virtual Online
10/01/2022
10:00 – 18:00Monday/Friday 5 WeeksClassroom Based / Live Virtual Online
15/01/2022
10:00 – 18:00Saturday Only 5 WeeksClassroom Based / Live Virtual Online
23/01/2022
10:00 – 18:00Sunday Only 5 WeeksClassroom Based / Live Virtual Online
07/02/2022
10:00 – 18:00Monday-Friday 5 DaysClassroom Based / Live Virtual Online
19/02/2022
10:00 – 18:00Saturday Only 5 WeeksClassroom Based / Live Virtual Online

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