AWS Certified Machine Learning Specialty 2024 – Hands On!

• 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: Bedrock, SageMaker JumpStart for Generative AI, CodeWhisperer, 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 Studio, SageMaker Model Monitor, SageMaker Autopilot, and SageMaker Debugger.
• Regularization techniques
• Evaluating machine learning models (precision, recall, F1, confusion matrix, etc.)
• High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, 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.