Course Description
This bootcamp takes you from beginner-level Python all the way to building and deploying machine learning models. You will work with real datasets from Kaggle, build classification, regression, and clustering models, and learn industry best practices for ML engineering.
What you'll learn
- Perform exploratory data analysis (EDA) on real datasets
- Apply deep learning with TensorFlow and Keras
- Deploy ML models as web services
- Create compelling data visualizations
- Build and evaluate classification and regression models
- Process natural language and build NLP models
- Use Pandas and NumPy for data manipulation
This course includes:
- 60.00 hours on-demand video
- Assignments
- 1 article
- 1 downloadable resource
- Access on mobile and TV
- Certificate of completion
Course Content
150 lessons • 60.00h total length
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Requirements
- Basic Python programming knowledge
- High school level mathematics
- A computer with at least 8GB RAM for ML model training
Instructor
Farida Khanam
PhD in Mathematics | Data Scientist | ML/AI ResearcherData Scientist and ML Engineer with a PhD in Applied Mathematics from the University of Dhaka. Has published peer-reviewed research in NLP and computer vision. Teaches data science with a strong practical, industry-first focus — bridging the gap between academia and real-world applications.
Nabil Ahmed
Flutter & Mobile Dev Expert | 20+ Apps on Play Store & App StoreMobile developer specializing in Flutter and React Native. Has built and shipped 20+ production apps with millions of combined downloads across the Google Play Store and Apple App Store. Deeply passionate about great mobile UX, performance optimization, and helping developers launch their first app.
Rahim Hassan
Python & Django Expert | Full-Stack Developer | 8+ Years ExperienceSenior full-stack developer with 8+ years of experience in Python and Django. Passionate about clean code, system architecture, and mentoring the next generation of developers. Has led engineering teams at multiple startups and delivered production systems serving thousands of users.