Table of contents

• Lecture 1: Introduction
• Lecture 2: AWS Academy, EC2, and Linux shell
• Lecture 3: Processes, threads
• Lecture 4: Caching
• Lecture 5: Python data types
• Lecture 6: Python parallel processing
• Lecture 7: GFS/HDFS and MapReduce
• Lecture 8: Spark
• Midterm review
• Lecture 9: Ray
• Lecture 10: GenAI at Amazon
• Lecture 11: LLMs as OS
• Lecture 12: LLM agent fairness
• Lecture 13: Cloud computing fundamentals
• Lecture 14: Scaling LLM serving
• Lecture 15: LLM compression, training, and serving
• Lecture 16: Serverless computing
• Lecture 17: GPU-efficient notebook
• Lecture 18: AWS S3
• Lecture 19: Amazon Dynamo
• Final review
• Lecture 20: Xet and Hugging Face