Course Highlights
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No prior experience required.

Live demos to leave you saying "WOW!"

Gain in-demand skills that top companies are hiring for.

Learn MLflow, Docker, CI/CD pipelines, and more.

Receive a certificate of completion to boost your resume.
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What Will You Learn?
- How MLOps works and why it's transforming industries.
- Real-world tools and workflows like MLflow, Docker, and CI/CD pipelines.
- Step-by-step guidance to deploy and monitor ML models effectively
Course Curriculum
15 Days
22hr 30 min Total class
Session 1: The Basics of MLOps.
- Understand MLOps and why it's important.
Session 2: The Machine Learning Workflow.
- Understand the stages of the ML workflow.
Session 3: Introduction to Tools in MLOps.
- Learn about the tools that enable MLOps.
Session 4: Setting Up the Environment.
- Prepare a hands-on environment for MLOps.
Session 5: Experiment Tracking with MLflow.
- Learn how to track ML experiments.
Session 6: Introduction to Data Versioning.
- Understand the importance of data versioning.
Session 7: Containerization with Docker (Part 1).
- Learn the basics of containerization.
Session 8: Containerization with Docker (Part 2).
- Build and run Docker containers for ML models.
Session 9: Introduction to CI/CD in MLOps.
- Understand automation in ML workflows.
Session 10: Building a Simple CI/CD Pipeline.
- Automate ML model training and deployment.
Session 11: Deploying ML Models on the Cloud.
- Deploy an ML model using a cloud platform.
Session 12: Monitoring ML Models (Part 1).
- Learn the basics of model monitoring.
Session 13: Monitoring ML Models (Part 2).
- Create dashboards for real-time model monitoring.
Session 14: Putting It All Together.
- Build an end-to-end MLOps pipeline.
Session 15: Final Review and Next Steps.
- Consolidate learning and motivate further exploration.
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Seamlessly Integrate Machine Learning Operations to Accelerate Your AI Journey

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Resource Persons

An accomplished corporate trainer with over 15 years of industry experience in Information Technology. He is a recognized Cloud Native Specialist and a DevSecOps expert. Basil has also served as a Liaison at Akamai, where he played a crucial role in bridging communication between teams and clients. As a frequent speaker at industry conferences, he shares his extensive knowledge and insights with a wider audience. Additionally, Basil is an ardent Open-Source Enthusiast, actively contributing to and supporting the open-source community.
Basil Varghese