Speak with all employers 1-2 times a week by phone or email. Look for jobs and post. 

I like how they focused on documentation being objective. Documentation should be informative and less subjective. You should go based on facts and stay away from being biased. 

There is a plethora of AI tools evolving to meet career support needs. Discernment, education, and focus are necessary in applying these technologies in an ethical and beneficial way. 

This module detailed the ways AI can be used to streamline career assistance. I am already integrating AI into my process. 

I am now aware of more AI resources useful in career support. 

I have some experience with AI. The speed with which AI technology is entering the workplace is impressive. I learned some more about the types of chatbot, and how to craft effective prompts. 

I learned that networking can fall into different categories and "ties." We can define our networks using this system to find where we can improve our networks. 

Employment verification and collecting accurate data are crucial. These two, along with great communication amongst departments, can prevent errors in the long run. I liked the examples of Self-review, Peer review, and Final review. 

Employment verification programs are important to collect the most accurate data the university or student is looking for. It is really important to gather the correct data and input accurate data to avoid any legal issues. 

Employment reporting is not just important to the university but also to the students. Employment reporting will keep records of students after graduation, including salaries and important documents that will help the University.