AWS Certified Machine Learning Certification Training

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About Course

As of my last update, AWS does not offer a specific “AWS Certified Machine Learning” certification. However, AWS does provide a variety of certifications related to machine learning and artificial intelligence, such as:

  1. AWS Certified Machine Learning – Specialty: Validates skills in designing, implementing, deploying, and maintaining machine learning solutions on AWS.
  2. AWS Certified Data Analytics – Specialty: Focuses on skills related to designing and implementing AWS services to derive value from data.

These certifications benefit professionals by validating their expertise in machine learning and data analytics on AWS, enhancing career opportunities in data science, AI engineering, and cloud computing.

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What Will You Learn?

  • 1. In-Demand Skills
  • 2. Career Advancement
  • 3. Efficient CRM Management
  • 4. Data Security
  • 5. Workflow Automation
  • 6. Reporting Insights
  • 7. Job OpportunitiesHours On Demanded Videos

Course Content

Lab 1: Introduction to Python Basics

Lab 2: Introducing the Pandas Library

Lab 3: Mean, Mode & Median

Lab 4: Percentiles and Moments

Lab 5: Standard Deviation

Lab 6: Using matplotlib & Seaborn

Lab 7: Linear Regression

Lab 8: Polynomial Regression & Multiple Regression

Lab 9: K -F old cross -v alidation to avoid overfitting

Lab 10: Handling outliers

Lab 11: AWS Free Tier Account Setup and Overview

Lab 12: Creating AWS S3 Bucket and Uploading Data into S3

Lab 13:Introduction to Amazon S3

Lab 14: AWS Glue Data Catalog & Crawlers

Lab 15: Running ETL Job Using Glue

Lab 16: Kinesis Data Streams & Kinesis Data Firehose

Lab: 17: Running Data Analytics using Kinesis

Lab 18: Amazon Athena With Glue Integration

Lab 19: Overview of Amazon Quicksight

Lab 20: Hadoop Overview & Elastic MapReduce (EMR)

Lab 21: Apache Spark on EMR

Lab 22: EMR Notebooks, Security, and Instance Types

Lab 23: Amazon Lex

Lab 24: Amazon Polly

Lab 25: Amazon Rekognition

Lab 26: Amazon Translate

Lab 27: Image Classification Algorithm

Lab 28: Learner algorithm

Lab 29: Random Cut Forest (RCF) Algorithm

Lab 30: Monitoring with CloudWatch

Lab 31: Logging with CloudWatch

Lab 32: Logging in SageMaker API Calls with AWS CloudTrail

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