Course Overview
This 14-week intensive program takes you through the complete machine learning lifecycle — data preparation, feature engineering, model training, evaluation, and production deployment. You will build over 10 real ML projects across classification, regression, clustering, NLP, and computer vision domains.
What You Will Learn
- Supervised and unsupervised learning algorithms
- Feature engineering and selection techniques
- Python ML stack — Scikit-learn, Pandas, NumPy
- Deep Learning with TensorFlow and Keras
- Natural Language Processing (NLP) fundamentals
- Computer Vision with OpenCV and CNNs
- Model deployment using Flask/FastAPI and Docker
- MLOps basics — tracking experiments with MLflow
Who Is This For?
- Software developers transitioning to ML engineering
- Data analysts wanting to move into data science
- Researchers and academics applying ML techniques
Prerequisites
Python programming and basic statistics. Linear algebra fundamentals recommended.
Course Highlights
- ⏱ Duration: 14 Weeks
- 📜 Industry-recognized certificate
- 🚀 10+ real-world ML projects
🚀 Ready to Transform Your Career?
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Course Curriculum
Curriculum details coming soon. Contact us for the full syllabus.
What You'll Learn
Your Instructor
AstrikCoders Expert Trainer
Prerequisites
- 📌Course Start Date - February 10th, 2026
- 📌CLASS Mode Online - ZOOM Meeting
🚀 Enroll in This Training
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