fix chapter sort
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Yan Lin
parent
592da6cad6
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23 changed files with 87 additions and 28 deletions
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title = "AI Systems & Infrastructure"
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sort_by = "date"
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sort_by = "weight"
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paginate_by = 10
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[extra]
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abbr = "AIsys"
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display_chapter = true
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Basics of streamlined interaction with AI systems, peripherals that enable such interaction, and deployment of AI systems on real-world infrastructure.
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title = "A.2-Advanced APIs in the Era of AI"
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title = "Advanced APIs in the Era of AI"
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date = 2025-09-11
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description = ""
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weight = 12
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[extra]
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chapter = "A.2"
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> **TL;DR:**
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title = "C.10-Advanced Deployment Strategies"
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title = "Advanced Deployment Strategies"
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date = 2025-11-08
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description = ""
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weight = 32
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[extra]
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chapter = "C.10"
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> **TL;DR:**
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title = "B.4-AI Compute Hardware"
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title = "AI Compute Hardware"
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date = 2025-09-25
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description = ""
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weight = 24
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[extra]
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chapter = "B.4"
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> **TL;DR:**
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@ -1,7 +1,11 @@
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title = "A.1-API Fundamentals"
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title = "API Fundamentals"
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date = 2025-09-03
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description = ""
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weight = 11
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[extra]
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chapter = "A.1"
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> **TL;DR:**
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title = "B.6-Cloud Deployment"
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title = "Cloud Deployment"
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date = 2025-10-09
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description = ""
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weight = 26
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[extra]
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chapter = "B.6"
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> **TL;DR:**
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title = "B.7-Edge & Self-hosted Deployment"
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title = "Edge & Self-hosted Deployment"
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date = 2025-10-16
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description = ""
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weight = 27
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[extra]
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chapter = "B.7"
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> **TL;DR:** Cloud deployment isn't the only option. Learn about edge computing and self-hosted deployment: running AI systems closer to where data is generated or on your own hardware. Discover when these approaches make sense and how to implement them on devices like Raspberry Pi and home servers.
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title = "Exam Format"
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date = 2025-09-02
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description = ""
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weight = 50
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[extra]
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chapter = ""
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## Modality and duration
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title = "C.9-High Availability & Reliability"
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title = "High Availability & Reliability"
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date = 2025-10-26
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description = ""
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weight = 31
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[extra]
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chapter = "C.9"
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> **TL;DR:**
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> When your service goes down, users leave. Learn how to measure availability with industry-standard metrics (MTBF, MTTR), and implement practical strategies like redundancy and backups to keep your AI API running reliably.
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title = "B-Infrastructure & Deployment of AI"
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title = "Infrastructure & Deployment of AI"
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date = 2025-09-25
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description = ""
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weight = 20
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[extra]
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chapter = "B"
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> **TL;DR:**
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title = "A-Interact with AI Systems"
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title = "Interact with AI Systems"
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date = 2025-09-03
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description = ""
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weight = 10
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[extra]
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chapter = "A"
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> **TL;DR:**
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> Learn why standardized interactions between applications are essential for making AI models practical in real-world scenarios, moving beyond simple function calls to robust communication methods that work across different programming languages and distributed systems.
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title = "Introduction to AI Systems & Infrastructure"
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date = 2025-09-02
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description = ""
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weight = 1
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[extra]
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chapter = ""
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What is AI composed of, and how companies like OpenAI, Anthropic, Google, and Microsoft are pushing AI for millions of people around the globe to use (whether people want it or not)?
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title = "B.8-Mini Project"
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title = "Mini Project"
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date = 2025-10-21
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description = ""
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weight = 28
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[extra]
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chapter = "B.8"
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Leveraging the knowledge from the [phase A and B](@/ai-system/_index.md) of this course (and optionally the advanced techniques from the phase C), we will develop and deploy a multi-functional AI API server in our mini project.
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title = "B.5-Packaging & Containerization"
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title = "Packaging & Containerization"
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date = 2025-10-02
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description = ""
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weight = 25
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[extra]
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chapter = "B.5"
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> **TL;DR:**
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title = "C-Production-ready AI Systems"
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title = "Production-ready AI Systems"
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date = 2025-10-25
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description = ""
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weight = 30
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[extra]
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chapter = "C"
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Now you can deploy your AI system on different hardware infrastructures with ease, and also enable everyone in the world to access (and hopefully pay for) your AI services. Now you won't run into situations where your friends are calling you to play CS2 but your laptop is running an AI service so you cannot.
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title = "A.3-Wrap AI Models with APIs"
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title = "Wrap AI Models with APIs"
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date = 2025-09-18
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description = ""
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weight = 13
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[extra]
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chapter = "A.3"
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> **TL;DR:**
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> Build your own APIs for serving AI models, covering everything from basic server setup and AI model integration to authentication, database-backed user management, and rate limiting—transforming you from an API consumer to an API producer.
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title = "Deep Learning for Trajectory"
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sort_by = "none"
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sort_by = "weight"
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paginate_by = 10
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[extra]
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abbr = "DL4traj"
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use_chapter_sort = true
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display_chapter = true
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+++
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Deep learning approaches for analysis and utilization of spatiotemporal trajectories.
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title = "End-to-end Learning of Trajectories"
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date = 2026-02-02
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description = ""
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weight = 2
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[extra]
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chapter = "2"
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title = "Trajectory Generation"
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date = 2026-02-04
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description = ""
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weight = 4
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[extra]
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chapter = "4"
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title = "Introduction to Deep Learning for Trajectories"
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date = 2026-02-01
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description = ""
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weight = 1
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[extra]
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chapter = "1"
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title = "Self-supervised Learning of Trajectories"
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date = 2026-02-03
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description = ""
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weight = 3
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[extra]
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chapter = "3"
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