Master MLOps with our industry-aligned program at GloryTecks. Learn from expert mentors, work on real-time projects, and become job-ready with dedicated placement support.
What you will learn
Introduction to MLOps (Lifecycle, MLOps vs DevOps, Production Challenges)
Python for MLOps (Automation, Pipelines, APIs, Logging)
ML Fundamentals (Workflow, Training, Feature Engineering, Validation)
Version Control & Collaboration (Git, GitHub, Branching, Experiment Tracking)
ML Pipelines & Workflow Automation (Data, Training, Orchestration)
Experiment Tracking & Model Management (MLflow, Registry, Versioning)
Model Deployment (Pickle/Joblib, Flask/FastAPI, Batch vs Real-time)
Containerization (Docker, Images, Compose, Dockerizing ML Apps)