Prerequisite Knowledge
- Comfort using digital tools
- Curiosity about AI use cases
- Willingness to test and document outputs
Build the data literacy and AI basics needed to support analytics, automation, and modern business tools.
Veterans who want practical AI skills tied to real workplace workflows and modern automation tools.
Learn the core concepts, vocabulary, and hands-on basics for Data + AI Foundations. Build one small practice project or lab and document what you learned.
Use Python, Excel in a more realistic scenario, practice troubleshooting, and create portfolio evidence tied to the skills employers ask for.
Move from task execution to ownership by improving reliability, security, communication, and delivery quality within Data + AI Foundations workflows.
Each step includes free learning links so users can move straight from plan to practice.
Learn the fundamentals of Data + AI Foundations and complete one introductory course.
Install or access Python, Excel and finish one guided lab.
Capture notes, unfamiliar terms, and a short weekly reflection so you can see progress.
Build a practice project that demonstrates Data concepts and Model basics.
Review at least one certification objective from Microsoft Certified: Azure AI Fundamentals.
Update LinkedIn and your resume with concrete tools, projects, and results.
Create a portfolio-ready artifact or demo tied to Data Analyst responsibilities.
Practice explaining your project, your learning process, and your transferable veteran strengths.
Start applying to internships, apprenticeships, support roles, or junior positions connected to Data + AI Foundations.