Course Outline
Predict Attrition & Decode Feedback with No-Code AI
Keeping top talent starts with understanding your people. But manually analyzing feedback or identifying at-risk employees is time-consuming—and often too late. That’s where Julius AI comes in.
Employee Feedback and Attrition Prediction with Julius AI is a hands-on course that shows you how to use this no-code AI platform to predict attrition, analyze sentiment, and build powerful HR dashboards. Whether you're an HR leader or a People Ops analyst, you'll learn to clean and upload datasets, train predictive models, and translate employee feedback into strategic action—no code or data science degree needed.
Learning Outcomes
- Build and interpret an AI-powered attrition prediction model
- Analyze and visualize key HR trends using Julius AI
- Apply AI insights to make proactive HR decisions with confidence
Who Is This Course For?
This course is perfect for HR professionals, People Analysts, and Talent Managers looking to integrate data science into their workflows without needing advanced technical skills. It’s also well-suited for business leaders and operations professionals who want to understand and leverage AI to optimize human capital strategies.
Why Enroll?
Julius AI empowers HR teams to harness the power of machine learning without relying on engineering support. By enrolling, you'll gain the ability to forecast attrition, uncover hidden patterns in employee data, and turn raw HR data into clear, actionable insights. The skills you learn in this course will help you make faster, smarter HR decisions and drive measurable impact in your organization.
Pre-requisites
- Basic familiarity with HR functions and workforce metrics
- Comfort working with spreadsheets and CSV files
- A curiosity to explore AI tools in decision-making
Let’s Get Started!
Don’t let valuable employee feedback sit unread.
Learn to automate, analyze, and act on feedback like a pro with Julius AI’s no-code AI workflows.
