AWS CERTIFIED MACHINE LEARNING – SPECIALTY 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 CERTIFIED MACHINE LEARNING – SPECIALTY TRAINING

For More information call us on

0208 123 7574

COURSE INSIGHT

AWS Certified Machine Learning – The specialist course is designed for IT professionals who are working on the development of Data Science roles. This course validates the capacity of an individual to design, develop, deploy and configure Machine Learning (ML) solutions, as per the requirement of the organization. In this course, you will learn the feature engineering techniques including outliers, imputation, normalization, and binding. Through this course, you will also be able to learn Data Engineering with S3, Kinesis, DynamoDB, and Glue. Gradually, you will earn a comprehensive view of Deep Learning and hyperparameter tuning of Deep Neural Networks. The subject matter of this course also covers high-Level Machine services including comprehend, transcribe, translate, recognition, and more. This course will also cover Exploratory Data Analysis with scikit_learn, Apache Spark and EMI.

Prerequisites

 

  • You are required to have associate-level knowledge of AWS services, such as EC2.
  • It is ideal if you have familiarity with Machine Learning, but not required.
  • You are required to have an AWS account to work with the lab sessions.

What will you gain after this course

  • You will be recognized as an AWS certified Machine Learning Specialist.
  • You can work on Machine Learning products and/or services, with the help of this course.
  • You can expand your job opportunities with the help of this course.

COURSE OUTLINE

  • Create data repositories for machine learning.
  • Identify and implement a data-ingestion solution.
  • Identify and implement a data transformation solution.
  • Sanitize and prepare data for modeling.
  • Perform feature engineering.
  • Analyze and visualize data for machine learning.
  • Frame business problems as machine learning problems.
  • Select the appropriate model(s) for a given machine learning problem.
  • Train machine learning models.
  • Perform hyperparameter optimization.
  • Evaluate machine learning models.
  • Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance.
  • Recommend and implement the appropriate machine learning services and features for a given problem.
  • Apply basic AWS security practices to machine learning solutions.
  • Deploy and operationalize machine learning solutions.

Benefits of a IT Certification from iTraining London

  • 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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