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Course Schedule

Being less concrete further out, the course scheduling is tentative and subject to changes.

Introduction, AI systems foundation

Week 1

08/26: Lec1: Course introduction

Week 2

08/31: Lec2: Data types, model training
09/02: Lec3: Model compression

Week 3

09/07: Lec4: Hardware acceleration I
09/09: Lec5: Hardware acceleration II; A1 due (09/09)

AI infrastructure

Week 4

09/14: Lec6: AI compute infrastructure I; Projects
09/16: Lec7: AI compute infrastructure II; Project team signup due (09/16)

Week 5

09/21: Lec8: AI network fabrics I
09/23: Lec9: AI network fabrics II; A2 due (09/23)

Week 6

09/28: Lec10: AI storage infrastructure I
09/30: Lec11: AI storage infrastructure II

Distributed training

Week 7

10/05: Reading day (no class)
10/07: Lec12: Distributed training I; Project proposal due (10/07)

Week 8

10/12: Lec13: Distributed training II
10/14: Lec14: Performance engineering (FlashAttention); Paper presentation signup due (10/14)

Inference at scale

Week 9

10/19: Lec15: LLM inference I (vLLM, KVC, speculative decoding)
10/21: Lec16: LLM inference II (vLLM, KVC, speculative decoding)

Week 10

10/26: Lec17: AI agents
10/28: Project checkpoint presentation

Student paper presentations, guest lectures

Week 11

11/02: TBD
11/04: TBD

Week 12

11/09: TBD
11/11: TBD

Week 13

11/16: TBD
11/18: TBD

Week 14

11/23: TBD
11/25: Thanksgiving recess (no class)

Week 15

11/30: Project presentation I
12/02: Project presentation II

Week 16

12/07: Project presentation III
12/09: Project everything due