The Certificate Program in Applied Machine Learning follows a four-module pathway from the machine-learning workflow and supervised learning to predictive analytics, unsupervised learning and model evaluation. The first module combines theory sessions, course materials and a hands-on session, while the remaining modules use theory sessions and course materials to build the source-defined progression.
Learners examine regression, classification and predictive analytics before moving to unsupervised learning, clustering and feature engineering. The final module focuses on model evaluation, tuning, explainability and projects, bringing the learning pathway toward practical model assessment and application. Designed for students, technical learners and professionals building applied ML knowledge, the program is delivered online over six weeks and remains strictly aligned to the supplied modules and topic counts.
Build practical machine learning workflows from models to evaluation
The project submission process helps learners apply Generative AI concepts in a practical and structured way. Therefore, participants complete project work to demonstrate their understanding, originality, and professional application.
First, explore the project topics available in the LMS. Review the project description, learning outcomes, and required skills before selecting your topic.
If required, ask your guide or mentor for support. After that, finalize your topic and begin your project work.
Once your project report is complete, follow the project submission guidelines for formatting, font, spacing, citations, and originality.
Your report will go through a plagiarism check. Therefore, keep the work original, properly structured, and clearly written.
Finally, upload your final PDF report and any supporting files to the LMS.
After submission, your project is evaluated by an organization mentor and an internal faculty supervisor.
The evaluation focuses on report quality, depth of understanding, concept application, problem-solving skills, professional behaviour, and timely submission. In some cases, a viva or presentation may also be required.
Credits may be awarded as per applicable UGC NEP 2020 guidelines. In addition, your internship certificate will be issued after report approval, evaluation completion, and uploading of the required organization certificate.
Thereafter, learners can download the internship completion certificate directly from the LMS.
