Syllabus Information |
Fall 2024
Nov 13, 2024 |
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| DEF 4640P - Machine Learning Ops |
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Associated Term:
Fall 2024
Learning Objectives: Master the MLOps landscape: Infrastructure, Automation, Pipelining. Dive into the DevOps-MLOps relationship and their tools. Incorporate Active Learning, engaging engineers in data labeling. Optimize AI/ML development with MLOps techniques. Uncover cutting-edge insights on LLMs and Federated Learning. Scale AI/ML development with MLOps and Active Learning. Perfect your CI/CD setup and containerize AI/ML models for optimal delivery. Required Materials: Recommended Prerequisites: Electromagnetic Warfare Data Analysis (DEF 2523P) Basic RF Electronic Warfare Concepts (DEF 2501P) Basic Electronic Warfare Modeling (DEF 4006P) Required Materials: Computer (personal or work device with internet connectivity); Internet connection Technical Requirements: Downloadable course materials (slide decks, lab guides, student handouts) available from the GT campus course platform |
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