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AWS Certified Machine Learning Specialty 2024 – Hands On!

AWS Certified Machine Learning Specialty 2024 – Hands On!

What you’ll learn -14 hours

  • 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:

  • How generative AI and large language models (LLM’s) work, including the Transformer architecture (GPT) and attention-based neural networks (masked self-attention)
  • Amazon’s newest generative AI services: BedrockSageMaker JumpStart for Generative AICodeWhisperer, and SageMaker Foundation Models
  • 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, including SageMaker StudioSageMaker Model MonitorSageMaker Autopilot, and SageMaker Debugger.
  • Regularization techniques
  • Evaluating machine learning models (precision, recall, F1, confusion matrix, etc.)
  • High-level ML services: ComprehendTranslatePollyTranscribeLexRekognition, and more
  • Building recommender systems with Amazon Personalize
  • Monitoring industrial equipment with Lookout and Monitron
  • Security best practices with machine learning on AWS

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.

If there’s a more comprehensive prep course for the AWS Certified Machine Learning – Specialty exam, we haven’t seen it. Enroll now, and gain confidence as you walk into that testing center.

How to Enroll AWS Certified Machine Learning Specialty 2024 – Hands On! course?

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