📁 Folder Tree
- 📁 Introduction to Machine Learning on AWS
- 📂 CHAPTER 01 Introduction
- 📂 01-01 Course Introduction
- 📂 01-02 Fundamentals of Machine Learning
- 📂 01-03 Machine Learning Services on AWS
- 📂 CHAPTER 02 Artificial Intelligence Services
- 📂 02-01 Introduction to Artificial Intelligence Services
- 📂 02-02 Producing Text-to-Speech with Amazon Polly
- 📂 02-03 Demo Amazon Polly
- 📂 02-04 Decoding Speech-to-Text with Amazon Transcribe
- 📂 02-05 Demo Amazon Transcribe
- 📂 02-06 Extracting Text from Documents with Amazon Textract
- 📂 02-07 Demo Amazon Textract
- 📂 02-08 Interpreting Text with Amazon Comprehend
- 📂 02-09 Demo Amazon Comprehend
- 📂 02-10 Translating Languages Using Amazon Translate
- 📂 02-11 Demo Amazon Translate
- 📂 02-12 Analyzing Images and Videos with Amazon Rekognition
- 📂 02-13 Demo Amazon Rekognition
- 📂 02-14 Programming with Artificial Intelligence Using Amazon CodeWhisperer
- 📂 02-15 Demo Amazon CodeWhisperer
- 📂 02-16 Section Review
- 📂 CHAPTER 03 Platform Services
- 📂 03-01 Introduction to Platform Services
- 📂 03-02 Creating Natural Language Bots with Amazon Lex
- 📂 03-03 Generating Bespoke Recommendations with Amazon Personalize
- 📂 03-04 Forecasting Data with Amazon Forecast
- 📂 03-05 Analyzing Anomalies with Amazon Fraud Detector
- 📂 03-06 Searching with Machine Learning Using Amazon Kendra
- 📂 03-07 Section Review
- 📂 CHAPTER 04 SageMaker Family of Services
- 📂 04-01 Introduction to the Amazon SageMaker Family
- 📂 04-02 Setting Up Amazon SageMaker Studio
- 📂 04-03 Demo Using Stable Diffusion with SageMaker Studio
- 📂 04-04 Training Models in Amazon SageMaker
- 📂 04-05 Inference in Amazon SageMaker
- 📂 04-06 Demo Building a Custom Image Classification Model with SageMaker JumpStart
- 📂 04-07 Section Review
- 📂 CHAPTER 05 Conclusion
- 📂 05-01 Course Summary
- 📂 05-02 Cleaning Up
- 📂 05-03 Deeper Topics
- 📂 05-04 Recommended Reading
- 📂 05-05 Conclusion and What's Next