AWS offers several services for building AI and Machine Learning (ML) solutions, depending on your skill level and use case:
1. Amazon SageMaker
A fully managed service to build, train, and deploy ML models easily. It’s one of the most popular tools for developers and data scientists.
2. AWS AI Services (Pre-built AI tools)
These are ready-to-use services that don’t require ML expertise:
Amazon Rekognition – image and video analysis
Amazon Comprehend – text and sentiment analysis
Amazon Lex – chatbot and voice assistants
Amazon Polly – text-to-speech
Amazon Transcribe – speech-to-text
3. AWS Bedrock
Used to build applications with foundation models (generative AI) from providers like Anthropic and others.
4. AWS Lambda + AI integration
Used to run serverless code that can trigger or support AI/ML workflows.
SageMaker = Build custom ML models
AI Services = Ready-made intelligence tools
Bedrock = Generative AI platform
If you're exploring AWS AI/ML, structured learning platforms like Sterling Next can help you understand these services step by step in a practical way.
