MLOps Course with Placement Assistance

  • 100% Job Guarantee Program
  •  Job Offer Letter From Reputed Company
  • Post Graduate Diploma From The State University Of New York
  • Pan India and International Placement Support
  • No Prior Coding Experience? No Problem!

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Eligibility

College Degree in STEM related fields – Science, Mathematics, Engineering, Software Technology and Business.

No programming knowledge needed. You will learn from scratch!

Who should sign up?

  • Aspiring Analytics Professionals
    Those aiming to build careers in domain-specific analytics .

  • Graduates seeking careers in analytics and forecasting
    Freshers from IT, business, economics, statistics, life sciences, engineering, or related fields looking to enter analytics roles in their chosen domain.

After Successfully completing the programme you should be able to

Demonstrate Expertise Across Core Analytics & MLOps Technologies
Master Machine Learning, Deep Learning, Cloud Platforms, Big Data, SQL & NoSQL, CI/CD pipelines, containerization (Docker, Kubernetes), model versioning, monitoring, and automated deployment workflows tailored for MLOps.

Deliver High-Impact MLOps Projects
Work on projects involving end-to-end ML pipeline automation, model deployment at scale, real-time model monitoring, data drift detection, model retraining workflows, A/B testing for models, and integrating ML systems into production environments.

Synopsis of MLOps Course

This program is designed for graduates and professionals eager to leverage MLOps and earn a valuable PG Diploma from a leading U.S. university. The blended curriculum brings together the best of multiple courses, delivering in-depth knowledge without compromising content quality or quantity.

Participants will experience rigorous, multi-platform training that includes live virtual classes, pre-recorded lectures, interactive chat support, expert mentoring, domain-specific projects (end-to-end capstone and mini projects in marketing analytics), pre-assessments, post-assessments, quizzes, and more.

Curriculum of MLOps Course

Chart Your Career with Industry Specific blended Core Modules Designed for Expanding Job Roles

Foundations of MLOps

  • Introduction to MLOps concepts

  • Differences between ML, DevOps, and MLOps

  • MLOps lifecycle and workflows

  • Industry use cases and best practices

Data Management & Pipeline Automation

  • Data versioning with DVC / LakeFS

  • Feature engineering pipelines

  • Automated ETL/ELT processes

  • Scheduling with Airflow / Prefect

Model Development & Experiment Tracking

  • Version control for ML models

  • Experiment tracking with MLflow / Weights & Biases

  • Hyperparameter tuning workflows

  • Model registry setup and usage

Containerization & Deployment Strategies

  • Docker for ML models

  • Kubernetes for scalable deployments

  • REST APIs with FastAPI / Flask

  • Batch vs. real-time inference

  • Monitoring & Maintenance in Production

    • Model performance monitoring

    • Data drift and concept drift detection

    • Automated retraining pipelines

    • Logging and alert systems

Capstone Project & Career Preparation

  • End-to-end business analytics project

  • Real-world case studies with domain context

  • Resume building, mock interviews

  • Analytics roles & career path support

Industry Projects in collaboration with DERIVE

DERIVE provide customised and innovative solutions for the clients. The organisation is keen to support and encourage upcoming data professionals and they believe that the need for skilled data scientists in only going grow in the coming years. Fuzen IT in collaboration with DERIVE offers hands-on Internships to students where they can work on real world problems and solve real-world challenges.

Programming Languages & Tools Covered

Our Alumni Work At

FAQs

The duration varies based on the learning pace, but typically, the program can be completed within a structured timeframe.

Not necessarily. Many of our beginner-level courses are designed for freshers and non-IT students. However, for advanced programs like AI and Cybersecurity, a basic understanding of programming is helpful

Yes. All enrolled students receive lifetime access to course materials, resources, and updates even after completing the course.

You can reach out through our contact page, WhatsApp support, or visit our nearest branch for one-on-one guidance.