College Degree in STEM related fields – Science, Mathematics, Engineering, Software Technology and Business.
No programming knowledge needed. You will learn from scratch!
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.
Demonstrate Expertise Across Core MLOps & Cloud-Native ML Technologies
Master Machine Learning, Deep Learning, AWS SageMaker, Cloud Platforms, Big Data, SQL & NoSQL, CI/CD pipelines, containerization (Docker, Kubernetes), model versioning, monitoring, and automated deployment workflows tailored for scalable ML operations.
Deliver High-Impact MLOps Projects on AWS
Work on projects involving end-to-end ML pipeline automation with AWS SageMaker, large-scale model deployment using SageMaker Endpoints, real-time model monitoring with SageMaker Model Monitor, automated data drift detection, retraining workflows with SageMaker Pipelines, A/B model testing using SageMaker Inference, and seamless integration of ML systems into production environments.
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.
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
End-to-end business analytics project
Real-world case studies with domain context
Resume building, mock interviews
Analytics roles & career path support
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.
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.
Fuzen It Solutions is a global AI-first EdTech and technology solutions company leading the way in education and workforce transformation.
To deliver future-ready IT programs that align with industry demand and learner aspirations. FUZEN IT is committed to expanding access, improving outcomes,
and continuously evolving our courses to help students achieve growth, confidence, and success in the digital and AI world.
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