Applied Machine Learning
Train, evaluate and ship machine learning models on real datasets.
A structured path from HTML and JavaScript fundamentals to shipping a full-stack application. You write code every week, get it reviewed by working engineers, and finish with a deployed product you can walk an interviewer through line by line.
6 modules, each with hands-on assignments reviewed by a mentor.
Design, build and deploy a scheduling product with authentication, role-based access, payments in test mode and an admin dashboard. You present the architecture and trade-offs in a recorded demo.
No. The first modules cover fundamentals. You should be comfortable using a computer and able to commit 10–12 hours a week.
Every session is recorded and posted the same day. Your mentor can go over anything you missed in the next review.
Graduates who complete the capstone and assessment can opt into the Veloxara talent directory, which companies use to find trained candidates. We do not promise a job.
A counsellor shares the payment options for your batch when confirming your seat. You don't pay anything until then.
Train, evaluate and ship machine learning models on real datasets.
Build software with AI in the loop: coding assistants, LLM features and evaluation.
Answer business questions with SQL, Python and clear dashboards.