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Schedule
NB: This schedule is tentative and might change as the quarter progresses.
| Week | Topic | Slides |
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1 | Introduction; From AI to AGI
(Task-Agnosticism, Domain-Generality, Promptability) | PDF PPTX |
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1-4 | Topic 1: Creating Data and Evals
(Feedback, Annotation, Structure, Curation, Synthesis, Multimodality, LLM-as-Judge, Code/SLMs for Evals) | PDF1 PPTX1
PDF2 PPTX2
PDF3 PPTX3 |
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4-6 | Topic 2: Retrieval and Context Engineering
(Prompt Eng., VectorRAG, GraphRAG, Search, Retrieval vs. Long Context) | PDF1 PPTX1
PDF2 PPTX2
PDF3 PPTX3 |
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6 | Invited Guest Lecture: Ajay Rayasam (Osage University Partners) on Thu, May 7 | - |
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7 | Invited Guest Lecture: Lakshya Agrawal (UC Berkeley) on Tue, May 12 | MP4 PDF PPTX |
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7 | Review Discussion on Topics 0-2 on Wed, May 13 | - |
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7 | Midterm Exam on Topics 0-2 on Thu, May 14 | - |
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8-10 | Topic 3: Agent Engineering
(Agentic Workflows, Tool Use, Memory, Reasoning, MCP, A2A, Multi-Agent Workflows, Observability) | PDF PPTX |
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9 | Invited Guest Lecture: Kabir Nagrecha (Tessera Labs) on Thu, May 28 | - |
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8-10 | Topic 4: Model Customization
(SFT, RFT, Continued Pretraining, Transfer Learning, Training vs. Inference-Only Customization) | PDF PPTX |
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11 | Final Exam on Thu, Jun 11 | -
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