AI & Machine Learning

ML & MLOps

Md. Asif Mredha George Tonmoy Roy

George Tonmoy Roy

·Last updated June 21, 2026·No reviews yet

Md. Asif Mredha

Data Science and Artificial Intelligence Instructor

George Tonmoy Roy

NLP & LLM instructor

About this course

This program is conducted in collaboration with SheSTEM, an organization dedicated to women’s empowerment in STEM and technology.

This course bridges the gap between academic machine learning and real-world production systems. Students learn the end-to-end ML lifecycle with a strong production mindset—covering data preparation, modeling, deployment, automation, and monitoring using industry-standard tools.

The program is completely hands-on, focusing on real deployment platforms and understanding why ML systems fail in practice.

Course objectives

Build ML and NLP models for real applications
Perform EDA and feature engineering
Track experiments using MLflow
Build reproducible pipelines with DVC
Serve models using FastAPI
Containerize applications using Docker
Deploy models online (Render
Hugging Face Spaces)
Automate deployment using CI/CD pipelines
Monitor deployed models and manage data & concept drift
Understand and mitigate real-world ML failures

Course benefits

Internship provided after successful course completion

What you'll learn

Step-by-step modules
Hands-on assignments

Who this course is for

Women participants only
Students from STEM disciplines (Science
Technology
Engineering
and Mathematics)
Basic knowledge of Python is expected

Skills covered

AI & Machine Learning
Beginner

Course curriculum

4 modules · 13 lessons

Meet your trainers

Trainer

Md. Asif Mredha

Data Science and Artificial Intelligence Instructor

Managing Director, Kryzotech Machine Learning Trainer, Hamdard University Bangladesh Former Data Scientist, Nighthawk Former Data Science Trainer, Microland IT Institute

Trainer