Milestones
Project Milestones - Overview
| Milestones | Brief Description | Due Date | Grade % |
|---|---|---|---|
| MS1 | Project Proposals, Team formation - Students submit project proposals and form teams. Staff reviews proposals and return feedback and project approvals by 02/25. | 2/20 | 4 |
| MS2 | MLOps Infrastructure & Advanced Training Workflows - Build atomic containers, implement versioned data pipelines, and develop scalable computing solutions for efficient deployment.Scalable and Modular Computing Infrastructure – Enhance training workflows with TensorFlow, experiment tracking, multi-GPU support, and serverless training environments. | 3/13 | 10 |
| MS3 | Midterm Presentation - Present your AI application as an investor pitch, covering the problem, value proposition, scalability, future development, and technical details, with slides and code submitted via GitHub by Mar 27. | 3/27 | 25 |
| MS4 | Full-Stack Development - Develop, test, and deploy a user-facing application integrating all previous components, with clean code, robust APIs, CI setup, and automated testing for real-world usage. | 4/17 | 14 |
| MS5 | Final Presentation and Deliverables - Students will complete the project by deploying and scaling it, documenting the work through a Medium blog post, a 6-minute video presentation, and a well-structured GitHub repository. | 5/10 | 35 |
Guidelines, submission instruction for milestones (and medium page) for future project events will be posted as they approach.