MLOps
With Techpratham, you can learn how to use MLOps to make the machine learning lifecycle easier, from building models to deploying them in production. Learn how to automate, keep an eye on, and grow AI workflows.
Level
Advanced
Duration
8 weeks
Placement Client
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About MLOps
Techpratham's MLOps training gives students the tools they need to manage, automate, and improve the ML lifecycle. You'll learn a lot about CI/CD pipelines, model versioning, monitoring, and deployment strategies. The course also talks about containerization, cloud integration, and managing models in real time. By the end, you'll know how to make machine learning systems for businesses that can grow and are reliable.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
MLOps
Course Curriculum
Introduction to MLOps
Understand the fundamentals and importance of MLOps.
Machine Learning Lifecycle Management
Learn about different stages of an ML project including data collection, preprocessing, model building, deployment, and monitoring.
Version Control & Experiment Tracking
Explore versioning strategies for datasets, models, and experiments to ensure reproducibility and transparency in ML projects.
Continuous Integration & Continuous Deployment (CI/CD)
Implement CI/CD pipelines for machine learning models to automate testing, integration, and deployment processes.
Containerization & Orchestration
Understand the role of Docker and Kubernetes in packaging ML models and managing scalable deployments in cloud environments.
Model Serving & APIs
Learn how to serve ML models as APIs for integration with applications and enable real-time or batch inference.
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Who Should Take MLOps
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Key Projects
<h1><strong>MLOps</strong></h1>
End-to-End ML Pipeline with CI/CD
Use CI/CD tools like GitHub Actions or Jenkins to build a full ML pipeline that automates the process of getting data, training models, testing them, and deploying them. This project makes sure that students know how to use automation workflows.
Customer Churn Prediction System
Use CI/CD tools like GitHub Actions or Jenkins to build a full ML pipeline that automates the process of getting data, training models, testing them, and deploying them. This project makes sure that students know how to use automation workflows.
Real-Time Sentiment Analysis with Monitoring
Make a sentiment analysis model that can be used through APIs and add monitoring tools to keep an eye on how well the model is working, find drifts, and retrain it automatically. This project is all about making things work reliably in production.
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Knowledge Center
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What Makes TechPratham Training Different?
Course FAQs
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Industry-Recognized Certification
India
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Noida Office
C-2, Sector-1, Noida, Uttar Pradesh - 201301
India
Hyderabad Office
LVS Arcade, 6th Floor, Hitech City, Hyderabad