ML
Advanced
Machine Learning Engineering
Master end-to-end ML pipeline development with real-world projects. Learn from supervised learning to advanced deep learning architectures.
Duration
16 Weeks
Class Size
Max 20 Students
Format
Hybrid Learning
Certificate
Professional ML Engineer
Course Curriculum
Machine
Learning Fundamentals and Mathematics
Supervised Learning: Regression and Classification
Unsupervised Learning: Clustering and Dimensionality Reduction
Deep
Learning with TensorFlow and PyTorch
Natural
Language Processing and Computer Vision
MLOps:
Model Deployment and Monitoring
Feature
Engineering and Data Preprocessing
Model
Evaluation and Hyperparameter Tuning
Ensemble Methods and Advanced Algorithms
Capstone Project: End-to-End ML Pipeline
What You'll Get
16
weeks of comprehensive training
Real-world industry projects
Expert instructors from FAANG companies
Job
placement guarantee
Professional certificate
Access to premium ML tools and platforms
Become a Machine Learning Engineer
Join our comprehensive program and build production-ready ML systems that solve real business problems.