MLOps Certification Course – Build & Deploy Scalable ML Pipelines
Join the MLOps Specialization Course at the School of Core AI — your path to mastering the complete machine learning lifecycle. Learn to version datasets, manage experiments, automate CI/CD pipelines, and scale ML models in production environments.
Gain hands-on expertise with industry-standard tools like Docker, MLflow, DVC, Jenkins, GitHub Actions, Ray, and Kubeflow. Deploy models on AWS SageMaker, Google Vertex AI, and Azure ML.
Skills you'll gain in MLOP's course
Perks of Our MLOps Certification Course
Industry-Ready Certification
Get an industry-recognized MLOps certificate to showcase your end-to-end deployment expertise.
CI/CD for Machine Learning
Master GitHub Actions, Jenkins, and ML-specific CI/CD workflows to automate ML model deployment.
Containerization & Orchestration
Build, scale, and manage models using Docker, Kubernetes, and cloud-native pipelines.
Model Monitoring & Drift Detection
Detect data drift, model degradation, and log production metrics using Prometheus and Evidently AI.
End-to-End ML Pipeline
Learn real-world ML workflows: data ingestion, preprocessing, model training, testing, and deployment.
Cloud & On-Prem Deployments
Deploy models on AWS Sagemaker, GCP Vertex AI, Azure ML, and edge servers.
Live Projects & Assignments
Work on real MLOps projects with CI/CD, Docker, MLflow, and live pipeline evaluations.
Placement Assistance
Get access to AI/ML engineer roles with MLOps-focused resume reviews and mock interviews.
MLOP's Program Overview
Machine Learning Specialization course offered by the School of Core AI immerses learners in the essential principles and advanced machine learning practices. This comprehensive course covers fundamental concepts, including data preprocessing and feature engineering, vital for transforming raw data into actionable insights. Learners will gain the expertise to leverage machine learning techniques across a broad spectrum of applications, fostering their ability to innovate and drive progress within the artificial intelligence domain.
As the demand for skilled professionals in machine learning continues to rise, this specialization provides the critical education needed to excel in this dynamic and rapidly advancing field. Participants will emerge with the knowledge and capabilities to effectively navigate and contribute to the evolving landscape of AI.
Who Is This Program For?
Aspirational candidates with zero experience who are willing to jumpstart their careers in data science with machine learning.
Anyone who wants to get acquainted with machine learning and data science as a software developer.
People who are looking to switch career paths for an AI and machine learning career.
Data analysts who wish to superimpose data science with machine learning into their career.
Line managers who wish to learn more about the opportunities that exists in AI and data science with an application of machine learning for the improvement of their teams.
Future managers willing to deepen their knowledge in the field of AI and machine learning.
Academic as the data science and AI in their field of specialty
Anyone interested in data science with machine learning and needs more information on the same
What Sets Us Apart?
| Feature | Our Program | Other Courses |
|---|---|---|
| Expert-Led Sessions | ✔ 24 weeks of instruction from top-tier professionals with industry experience | ✘ Often lack guidance from seasoned experts, relying on less experienced instructors |
| Flexible Learning Options | ✔ Accessible 24/7 with over 150 hours of on-demand content | ✘ Limited accessibility and rigid learning schedules |
| Practical Assessments | ✔ 15 practical assessments for hands-on practice | ✘ Minimal practical exposure and hands-on opportunities |
| Real-World Assignments | ✔ Engage in 14+ real-world assignments directly linked to industry challenges | ✘ Minimal practical exposure and hands-on opportunities |
| Live Doubt-Clearing Sessions | ✔ 11 live sessions with experts for doubt resolution | ✘ Limited opportunities for real-time support and query resolution |
| Capstone Projects | ✔ 2-3 capstone projects applying skills to real-world problems | ✘ Few or no chances to work on substantial, real-world projects |
| Live Interviews | ✔ 5 mock interviews to prepare you for the real world | ✘ Lack of structured live interview preparation |
| Mock Interviews | ✔ 10 mock interviews to prepare for real job scenarios | ✘ Lack of structured mock interview preparation |
| Career and Placement Support | ✔ Comprehensive support for job placements, including resume reviews and salary negotiation tips | ✘ Often lack continuous support for career advancement and placement |
Hiring Partners
MLOps Course Fees
- Refund up to 70% if not placed within 10 months (maximum refund ₹52,499).
Additional Benefits:
- Job Assistance: Full support until you secure a role.
- Real-World Projects: Work on industry-grade use cases.
- Comprehensive Curriculum: Includes CI/CD pipelines, Docker, MLflow, Ray, and cloud deployment tools like SageMaker and Vertex AI.
Testimonials of our Successful Learners
What our learners have to say
Frequently Asked Questions
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