AWS Certified Machine Learning – Specialty (MLS-C01)

This AWS Certified Machine Learning training course is specifically designed to help you prepare for the AWS Machine Learning - Specialty Certification, This training content has been carefully created to help you study for this AWS certification.

  • 30000
  • 35000
  • Course Includes
  • Live Class Practical Oriented Training
  • 60+ Hrs Instructor LED Training
  • 40+ Hrs Practical Exercise
  • 25 + Hrs Project Work & Assignment
  • Timely Doubt Resolution
  • Dedicated Student Success Mentor
  • Certification & Job Assistance
  • Free Access to Workshop & Webinar
  • No Cost EMI Option


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What you will learn

  • Amazon SageMaker's built-in machine learning algorithms (XGBoost, BlazingText, Object Detection, etc.)
  • Feature engineering techniques, including imputation, outliers, binning, and normalization
  • High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and more
  • Data engineering with S3, Glue, Kinesis, and DynamoDB
  • Exploratory data analysis with scikit_learn, Athena, Apache Spark, and EMR
  • Deep learning and hyperparameter tuning of deep neural networks
  • Automatic model tuning and operations with SageMaker
  • L1 and L2 regularization
  • Applying security best practices to machine learning pipeline

Requirements

  • Associate-level knowledge of AWS. Some existing familiarity with machine learning. Knowledge of architecting, developing, or running machine learning workloads in AWS. In addition, the AWS Certified Solutions Architect–Associate certification, or the AWS Certified Big Data Specialty certification are recommended before attempting the AWS Certified Machine Learning Specialty Training.

Description

|| About  AWS Certified Machine Learning – Specialty Training Course

The AWS Certified Machine Learning - Specialty Online Training is intended for individuals who perform a development or data science role. BIT’s AWS Certified Machine Learning Specialty certification Training is also for developers and data scientists who want to validate their machine learning skills on the AWS platform. Specifically, the exam tests a candidate’s ability to design, build, deploy and maintain machine learning solutions. This online course covers the four key test domains: Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation and Operations. The information and resources contained in this path will be vital in preparing to take the AWS Certified Machine Learning Specialty exam. Machine learning is an advanced certification, and it's best tackled by students who have already obtained associate-level certification in AWS and have some real-world industry experience. This exam is not intended for AWS beginners.

Exam: AWS Certified Machine Learning – Specialty (MLS-C01)

Course Content

Lecture 1

·      Create data repositories for machine learning.

·      Practical Exercise

Lecture 2

·      Identify and implement a data-ingestion solution.                  

·      Practical Exercise

Lecture 3

·      Identify and implement a data-transformation solution.        

·      Practical Exercise

Lecture 4

·      Sanitize and prepare data for modeling.

·      Practical Exercise

Lecture 5

·      Perform feature engineering.

·      Practical Exercise            

Lecture 6

·      Analyze and visualize data for machine learning.                    

·      Practical Exercise

Lecture 7

·      Frame business problems as machine learning problems.     

·      Practical Exercise

Lecture 8

·      Select the appropriate model(s) for a given machine learning problem.                  

·      Practical Exercise

Lecture 9

·      Train machine learning models.

·      Practical Exercise

Lecture 10

·      Perform hyperparameter optimization.

·      Practical Exercise

Lecture 11

·      Evaluate machine learning models.                   

·      Practical Exercise

Lecture 12

·      Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance. 

·      Practical Exercise

Lecture 13

·      Recommend and implement the appropriate machine learning services and features for a given problem.   

·      Practical Exercise

Lecture 14

·      Apply basic AWS security practices to machine learning solutions.  

·      Practical Exercise

Lecture 15

·      Deploy and operationalize machine learning solutions.          

·      Practical Exercise

Fees

Offline Training @ Vadodara

  • Classroom Based Training
  • Practical Based Training
  • No Cost EMI Option
40000 35000

Online Training preferred

  • Live Virtual Classroom Training
  • 1:1 Doubt Resolution Sessions
  • Recorded Live Lectures*
  • Flexible Schedule
35000 30000

Corporate Training

  • Customized Learning
  • Onsite Based Corporate Training
  • Online Corporate Training
  • Certified Corporate Training

Certification

  • Upon the completion of the Classroom training, you will have an Offline exam that will help you prepare for the Professional certification exam and score top marks. The BIT Certification is awarded upon successfully completing an offline exam after reviewed by experts
  • Upon the completion of the Online training, you will have an online exam that will help you prepare for the Professional certification exam and score top marks. BIT Certification is awarded upon successfully completing an online exam after reviewed by experts.
  • This course is designed to clear the following AWS Certification Exam: AWS Certified Machine Learning – Specialty (MLS-C01)