AWS Certified Machine Learning Specialty 2024 – Hands On!

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84%OFF Coupon code for AWS Certified Machine Learning Specialty 2024 – Hands On! Udemy Course. This is an exclusive discount coupon from the course instructor, it will be active for few days. Check ENROLL NOW button to get a maximum discount. We manually verified coupon code on July 2nd, 2024 .

Pass the AWS Certified Database Specialty Certification DBS-C01. Learn RDS, Aurora, DynamoDB, DMS, ElastiCache in depth
Instructed by Stephane Maarek 12 hours on-demand video & 3 articles

What you’ll learn

  • What to expect on the AWS Certified Machine Learning Specialty exam
  • 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 pipelines 

This course is structured into the four domains tested by this exam: data engineering, exploratory data analysis, modeling, and machine learning implementation and operations. Just some of the topics we’ll cover include:

  • S3 data lakes
  • AWS Glue and Glue ETL
  • Kinesis data streams, firehose, and video streams
  • DynamoDB
  • Data Pipelines, AWS Batch, and Step Functions
  • Using scikit_learn
  • Data science basics
  • Athena and Quicksight
  • Elastic MapReduce (EMR)
  • Apache Spark and MLLib
  • Feature engineering (imputation, outliers, binning, transforms, encoding, and normalization)
  • Ground Truth
  • Deep Learning basics
  • Tuning neural networks and avoiding overfitting
  • Amazon SageMaker, in depth
  • Regularization techniques
  • Evaluating machine learning models (precision, recall, F1, confusion matrix, etc.)
  • High-level ML services: ComprehendTranslatePollyTranscribeLexRekognition, and more
  • Security best practices with machine learning on AWS

Who this course is for:

  • Individuals performing a development or data science role seeking certification in machine learning and AWS.

Recommended Courses

  1. [NEW] Ultimate AWS Certified Database Specialty
  2. AWS Certified Machine Learning Specialty Practice Exams
  3. [NEW] AWS Certified Advanced Networking Specialty
  4. AWS Certified Data Analytics Practice Test
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