📅 2025-02-23 — Session: Developed AI Task Prioritization and Course Automation
🕒 16:35–17:30
🏷️ Labels: AI, Task Management, Automation, Machine Learning, Course Development
📂 Project: Teaching
Session Goal
The session aimed to strategize the prioritization of AI tasks, automate course bibliography generation, and plan a comprehensive machine learning course structure.
Key Activities
- AI Task Prioritization: Developed a strategy for prioritizing AI tasks focusing on quick wins and reusable workflows.
- Course Bibliography Automation: Planned the automation of course bibliography generation using AI to create topic summaries from a CSV and output in markdown.
- Machine Learning Course Structure: Proposed a detailed structure for a machine learning course covering essential to advanced topics, including MLOps.
- Class Structure in Markdown: Created a markdown table for machine learning classes, outlining key topics and integration steps for a pipeline.
- Machine Learning Fundamentals Overview: Reviewed foundational concepts in machine learning, including classification, regression, and MLOps.
- Database and Pandas Course Proposal: Reformulated the curriculum for teaching databases and data manipulation using Pandas and SQL.
Achievements
- Established a clear strategy for AI task prioritization.
- Initiated plans for automating course bibliography generation.
- Developed a structured plan for a comprehensive machine learning course.
- Created initial markdown templates for class structures.
Pending Tasks
- Finalize the automation script for bibliography generation.
- Integrate markdown class structures into an automated pipeline.
- Further develop the database and Pandas course curriculum.