Complete Research Pathway with Machine Learning
Course Module
Python Programming Fundamentals
Data Structures and Functional Programming
File Handling, Error Management, and Object-Oriented Programming
Advanced Python Applications & Projects
Mathematics for Machine Learning
Intro to Research with Machine Learning
Foundation of Machine Learning
Model Optimization & Applied Project
Neural Network Foundations
Computer Vision with CNNs
Advanced CNN Techniques
Time Series Forecasting Models
Natural Language Processing
End-to-End Recap Sessions
Research Formulation
Experimental Design for Research
Research Writing & Refining
Paper Formatting
Career Development
Instructors and Mentors
Arif Mahmud Sisir
BSc. in Computer Science and Engineering
Southeast University
Mamunur Rashid Alex
MSc. in Computer Science and Engineering
North South University
Md Nafee Al Islam, PhD
Assistant Professor of Computer Science
University of San Diego, California
M Azizul Hakim Shuvo
PhD in Computer Science
University of Nevada, Reno
What You will Get in This Course
3-Month Guided Study Plan
A structured, beginner-friendly learning path with no prior experience required
Research Paper Writing Guidance
Learn to write a research paper from topic selection to submission
36+ Live Classes
Hands-on learning in real-time from experienced professionals
5 Real-World Projects
Build practical projects to showcase your skills and portfolio
Higher Study Guidelines
Expert guidance on studying abroad, from program selection and applications to exams, and scholarships
Publication Strategy & Peer Review
Master journal selection, submission process, and get constructive feedback
Active Research Community
Collaborate, discuss, and grow alongside fellow learners
Unlimited Live Support
Get instant help and guidance whenever you need it
Completion Certificate
Earn a verified certificate to enhance your resume and LinkedIn profile
Projects You will Build
Predicting Housing Prices using Regression Model
Handwritten Digits Classification using KNN
Image Classification on MNIST using CNN
Activity Recognition from Sensor Data
Question Answering with Small Language Model
Who This Course is For
Graduate students and researchers interested in conducting high-quality research using machine learning
Professionals aiming to build a career in data science, artificial intelligence (AI), and research fields
Members of technology and research organizations seeking to enhance their skills and Effectiveness
Individuals who are eager to build a strong research profile for fully funded MSc or PhD opportunities
What You will Need to Get Started
Laptop/Desktop with at least 8 GB RAM, Core i3 processor (minimum), and 256 GB SSD (recommended)
Stable internet connection for live classes, downloads, and research
Basic computer skills, including Microsoft Office, Google Docs and web browsing
Basic programming knowledge is preferred but not mandatory
Growth mindset and commitment to practice consistently and complete the full research process