Course Overview

Learn Medical Image Processing with Machine Learning - Batch 2 🩺💻

Course Code: MC35001
Course Title: Learn Medical Image Processing with Machine Learning
Start Date: October 15, 2025 📅
Duration: 6 weeks (24 hours) ⏰
Mode: Blended (online + in-person labs or fully online) 🌐
Class Size: Max 30 participants 👥
Course Equivalent: 2 Credit Hours

Course Fee 💸

• Discount Price: 3,500 BDT; Regular Price: 5,000 BDT

Course Description 🩻
Learn Medical Image Processing with Machine Learning (MC35001) taps into the transformative power of AI in healthcare, addressing the growing demand for skills in medical image analysis. This hands-on course teaches you to process medical images (MRI, CT, X-rays) using Python and build machine learning/deep learning models for diagnostics. From tumor detection to pneumonia classification, you’ll master preprocessing, segmentation, feature extraction, and model training. Culminating in a capstone project, this course prepares you for careers in health tech, AI startups, or research, with real-world datasets and industry-standard tools. 🚀

Learning Outcomes ✅
Participants will:

• Process medical images (MRI, CT, X-rays) using Python. 🖥️

• Apply preprocessing, segmentation, and feature extraction. 🛠️

• Train ML/DL models for diagnostic classification. 🤖

• Build a complete medical imaging pipeline. 🔄

• Create a publication- or deployment-ready capstone project. 📜

• Prepare for health tech or AI research careers. 🌟

Target Audience 🎓

• Final-year undergrad/postgraduate students (CSE, BME, EEE).

• Medical professionals, radiologists, biomedical engineers.

• Data scientists, AI enthusiasts interested in healthcare.

Entry Requirements 📋

• Basic Python programming.

• Basic ML/image processing knowledge (helpful, not mandatory).

• Minimum age: 18 years.

Career Pathways 🚀

• Careers in health tech, AI startups, clinical data science.

• Research roles in biomedical/computer vision fields.

• Foundation for MSc/PhD in related disciplines.

Course Overview

Applied Data Analytics Masterclass 

Course Code: MC15002
Course Title: Applied Data Analytics Masterclass
Start Date: July 10, 2025 📅
Duration: 40 hours (30 hours classwork + 10 hours self-study, 2 classes/week) ⏰
Mode: Blended (online lectures, live sessions, hands-on labs, project work) 🌐
Class Size: 20-30 participants 👥
Course Equivalent: 2 Credit Hours
Course Fee: 3,500 BDT (discounted from 5,000 BDT) 💸

Course Description 🚀
Applied Data Analytics Masterclass (MC15002) meets the surging demand for data professionals, with a projected 25% growth in analytics roles over the next 5 years (McKinsey, Deloitte). This hands-on course equips learners with skills in Python, SQL, machine learning, and visualization tools like Power BI and Plotly. Through real-world datasets and a capstone project, participants will master data wrangling, predictive modeling, and business intelligence, preparing for high-demand roles in data science, analytics, and machine learning. 🌟

Learning Outcomes ✅
Participants will:

• Master core data analytics concepts and tools. 📊

• Create visualizations and dashboards with Power BI, Plotly. 🖼️

• Build and evaluate machine learning models. 🤖

• Perform time series forecasting with ARIMA, Prophet. ⏳

• Complete a capstone project showcasing analytics skills. 📜

Target Audience 🎓

• Data analysts, data scientists, business analysts.

• Fresh graduates (Computer Science, Economics, Engineering, Mathematics).

• Professionals transitioning to data analytics/ML roles.

Entry Requirements 📋

• Bachelor’s degree in Computer Science, Engineering, Business, or related fields.

• Basic statistics/programming knowledge (helpful, not mandatory).

• Minimum age: 18 years.

Career Pathways 🚀

• Roles: Data Scientist, Business Intelligence Analyst, ML Engineer.

• Advanced studies in data science, AI, or machine learning.