Summary: https://www.udemy.com/course/aws-certified-cloud-practitioner-new/learn/lecture/20245410
AI & Machine Learning (ML) 101
- A very brief introduction to AI and ML: AI 101
- Recommended to pursue the AWS AIF-C01 certification to learn the basics and buzzwords of AI and ML, as well as ML/AI applied to AWS
- For CLF-C02, you only need to know some AWS-managed AI services at a very high level
AWS-managed AI Services
- Amazon Rekognition: detect objects in images and videos
- e.g. face detection, labeling, celebrity recognition
- Amazon Comprehend: Natural Language Processing (NLP)
- e.g. identify people's names from text, understand tone of text (happy, sad, etc)…
- Amazon Textract: detect text and data in documents
- e.g. extract data on costs from scanned receipts (total cost, VAT…)
- Amazon Transcribe: Automatic Speech Recognition (ASR), audio-to-text
- e.g. subtitles/captions, transcribing phone calls…
- Amazon Polly: Text-to-Speech (TTS), text-to-audio
- Amazon Translate: translations between human languages
- Amazon Kendra: ML-powered search engine
- e.g. find semantically related keywords in different documents
- Amazon Lex: build intentional and/or conversational bots – chatbots
- ‼️ These chatbots are very different from GenAI/LLM chatbots!! Lex chatbots are trained to understand user intent and perform corresponding actions… like Amazon Alexa.
- Amazon Connect: contact/call center in the cloud
- Amazon Personalize: real-time personalized recommendations
- Underlying tech for product recommendations of amazon.com
- Amazon SageMaker: end-to-end process for custom Machine Learning (ML) models
- Collect data, train & deploy ML models
- 💡 Main focus of the MLA-C01 and MLS-C01 certifications