AWS 23
- 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
- Getting Started With Amazon Bedrock
- Detecting Abnormal Operating Patterns Using Amazon DevOps Guru
- Build GenAI-Integrated Serverless Contact Forms for Static Websites With AWS Lambda, API Gateway, Bedrock, and SES
- 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
- Setting Up Adobe Creative Cloud and After Effects on AWS EC2 with NVIDIA GPUs
- Create Web Applications Using AWS Amplify
- Animating the Cloud: Learning Adobe After Effects for AWS Content Creation
- High-Performance Text Analysis with HuggingFace GPT-2 on AWS Neuron with AWS Inferentia
- Set Up and Deploy a Documentation Site With Jekyll & Chirpy on AWS Cloud9
- Creating a Terraform Module for S3 Remote Backend with DynamoDB State Locking
- Setting Up Terraform Remote Backend With AWS Using A Bash Script