Programme Parameters
Graduate / Intermediate
4 Weeks (40 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
AI-Driven Learning Analytics for Higher Education Faculty equips educators to use data to teach better. You learn how learning analytics turns data from courses and learning platforms into insight — identifying struggling students, understanding engagement, and evaluating what teaching approaches work — and how AI enhances it. The course is aimed at faculty applying analytics ethically and practically to their own teaching. You finish able to use learning analytics to improve courses and student outcomes. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course covers AI-driven learning analytics for higher-education faculty — using student-learning data to understand, support and improve teaching and outcomes.
📋 Course Objectives
1. Turn learning data into teaching insight.
2. Identify at-risk and disengaged students.
3. Evaluate teaching approaches with data.
4. Apply AI to learning analytics.
5. Use analytics ethically with students.
👥 Who Should Enroll?
• Higher-education faculty and staff
• Instructional designers
• Academic and learning-analytics teams
• Students of education
🚀 Key Learning Outcomes
• The ability to apply learning analytics.
• A data-informed teaching perspective.
• A course-improvement toolkit.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Data Engineering, Preprocessing, and Feature Pipelines
Implement Analytics with Driven for practical data engineering, preprocessing, and feature pipelines applications and outcomes. • Design Education with Learning for practical data engineering, preprocessing, and feature pipelines applications and outcomes. • Analyze Analytics with Driven for practical data engineering, preprocessing, and feature pipelines applications and outcomes. • Implement Analytics with Driven for practical model architecture, algorithm design, and aidriven learning analytics leveraging artificial intelligence to enhance teaching and learning outcomes for higher education faculty methods applications and outcomes. • Design Education with Learning for practical model architecture, algorithm design, and aidriven learning analytics leveraging artificial intelligence to enhance teaching and learning outcomes for higher education faculty methods applications and outcomes. • Analyze Analytics with Driven for practical model architecture, algorithm design, and aidriven learning analytics leveraging artificial intelligence to enhance teaching and learning outcomes for higher education faculty methods applications and outcomes.
Training, Hyperparameter Optimization, and Evaluation
Implement Analytics with Driven for practical training, hyperparameter optimization, and evaluation applications and outcomes. Gain hands-on experience and produce real-world projects. • Design Education with Learning for practical training, hyperparameter optimization, and evaluation applications and outcomes. Gain hands-on experience and produce real-world projects. • Analyze Analytics with Driven for practical training, hyperparameter optimization, and evaluation applications and outcomes. Gain hands-on experience and produce real-world projects.
Deployment, MLOps, and Production Workflows
Implement Analytics with Driven for practical deployment, mlops, and production workflows applications and outcomes. Gain hands-on experience and produce real-world projects. • Design Education with Learning for practical deployment, mlops, and production workflows applications and outcomes. Gain hands-on experience and produce real-world projects. • Analyze Analytics with Driven for practical deployment, mlops, and production workflows applications and outcomes. Gain hands-on experience and produce real-world projects.
Ethics, Bias Mitigation, and Responsible AI Practices
Implement Analytics with Driven for practical ethics, bias mitigation, and responsible ai practices applications and outcomes. • Design Education with Learning for practical ethics, bias mitigation, and responsible ai practices applications and outcomes. • Analyze Analytics with Driven for practical ethics, bias mitigation, and responsible ai practices applications and outcomes.
Industry Integration, Business Applications, and Case Studies
Implement Analytics with Driven for practical industry integration, business applications, and case studies applications and outcomes. • Design Education with Learning for practical industry integration, business applications, and case studies applications and outcomes. • Analyze Analytics with Driven for practical industry integration, business applications, and case studies applications and outcomes. • Implement Analytics with Driven for practical advanced research, emerging trends, and aidriven learning analytics leveraging artificial intelligence to enhance teaching and learning outcomes for higher education faculty innovations applications and outcomes. • Design Education with Learning for practical advanced research, emerging trends, and aidriven learning analytics leveraging artificial intelligence to enhance teaching and learning outcomes for higher education faculty innovations applications and outcomes. • Analyze Analytics with Driven for practical advanced research, emerging trends, and aidriven learning analytics leveraging artificial intelligence to enhance teaching and learning outcomes for higher education faculty innovations applications and outcomes. • Implement Analytics with Driven for practical capstone: end-to-end aidriven learning analytics leveraging artificial intelligence to enhance teaching and learning outcomes for higher education faculty ai solution applications and outcomes. • Design Education with Learning for practical capstone: end-to-end aidriven learning analytics leveraging artificial intelligence to enhance teaching and learning outcomes for higher education faculty ai solution applications and outcomes. • Analyze Analytics with Driven for practical capstone: end-to-end aidriven learning analytics leveraging artificial intelligence to enhance teaching and learning outcomes for higher education faculty ai solution applications and outcomes.
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Driven |
| Covered Tool / Platform | Learning |
Frequently Asked Questions
Scholar Feedback & Reviews
Based on 0 scholar submissions
Rating Breakdown
No verified reviews published yet. Be the first to share your academic experience.
Leave Scholar Feedback
Your rating will help prospective scholars. Ratings below 3 stars are routed privately to the faculty mentor for immediate response.
