Project Overview
As a core component of this course, each student is required to complete a course project. The project offers students the opportunity to delve deeper into a specific topic related to serverless computing and AI systems, addressing a practical pain point in real world.
We will provide necessary resources, including {coding agent CLI (Qwen3 Coder) and cloud infrastructure (Google Cloud)}. More details will be shared soon…
Requirements
Team: Form a team of two members to start the project. Contact the instructor if you need help in finding your teammates.
Topics: You are highly suggested to choose a topic from the instructor’s project idea list. We prepared a list of big topics where each big topic is divided into multiple smaller, palatable projects that are self-contained while correlated with each other.
Proposal report: Submit a brief project proposal outlining your chosen topic, your research questions, and a preliminary outline of your design. The proposal should be 1-2 pages long.
Checkpoint report: Submit a short checkpoint report describing what you have accomplished (implementation progress, challenges encountered, preliminary testing/validation results). The checkpoint report should be 2-3 pages long.
Final report: Write a report summarizing your findings. The report should include an introduction to your topic, a summary of your design, implementation, evaluation, and findings, and a conclusion discussing the implications of your work for serverless AI. There is no strict requirement on report length.
Project presentation: Prepare a 10-15 minute (tentative, and will be determined by class size) presentation to share your findings with the class. You should aim to make your presentation accessible to all students, regardless of their familiarity with your specific topic. You are highly encouraged to include a live (or video-recorded) demo in your final presentation.
Assessment Criteria
Your project will be assessed based on the following criteria:
- Depth of understanding: Does your project demonstrate a thorough understanding of your chosen topic?
- Quality of deliverables:
- A demonstrable MVP: How complete, robust, practical, and efficient is your system?
- A complete report: Is your report well-structured, clearly written, and properly referenced?
- Presentation & demo: Can you effectively communicate and pitch your idea and product to the class? Is the presentation engaging and the demo compelling?
Project Milestones
- Week 2: Team signup
- Week 4: Proposal report submission
- Week 9: Checkpoint report submission
- Week 15-16: Project presentation and report submission