QA Learning Platform 23
- Automating Cost and Sustainability Optimization in AWS
- Cost and Sustainability Optimization for AWS Storage and Databases
- AWS Non-Relational Databases
- AWS Relational Databases
- Deployment Orchestration With AWS Elastic Beanstalk
- Managing Database Access Permissions in AWS
- Training and Fine-Tuning Machine Learning and Foundation Models With Amazon SageMaker
- Configuring and Launching Hyperparameter Tuning Jobs With Amazon SageMaker AMT
- Monitoring Model Inference With Amazon SageMaker
- Optimize Machine Learning Models for Inference With SageMaker Neo
- Extracting Text, Handwriting, and Layout Elements Using Amazon Textract
- Monitoring and Analyzing Data Quality for XGBoost Churn Models With Amazon SageMaker Model Monitor
- Using Amazon Lex to Create Conversational AI Interfaces
- Detecting Abnormal Operating Patterns Using Amazon DevOps Guru
- Working With Amazon Rekognition for Video and Image Analysis
- Implementing Text-to-Speech with Amazon Polly
- Running Deep Learning Workloads with the AWS Neuron SDK
- Amazon SageMaker: Machine Learning Workflows
- AWS Security Best Practices For Developers
- Scaling GPUs with EC2 UltraClusters
- Create Web Applications Using AWS Amplify
- High-Performance Text Analysis with HuggingFace GPT-2 on AWS Neuron with AWS Inferentia
- Building and Running Serverless Applications Using the SAM CLI