Complete MLOps Engineer Career Program

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About Bundle

Learn how real companies deploy and scale AI systems in production

The MLOps Engineer Career Program is a comprehensive, industry-focused training designed to equip learners with the skills required to deploy, manage, and scale machine learning systems in production environments. This program bridges the gap between data science and DevOps by focusing on automation, orchestration, and cloud-based ML workflows.

Learners will gain hands-on experience with CI/CD pipelines, containerization, and cloud platforms, enabling them to build reliable and scalable machine learning systems. The program also covers real-time deployment, monitoring, and system optimization, ensuring learners understand how AI systems operate in real-world environments.

Through practical projects and real-world use cases, learners will develop expertise in designing end-to-end ML pipelines and production systems. By the end of this program, learners will be ready for roles such as MLOps Engineer, ML Engineer, and AI Platform Engineer.

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What Will You Learn?

  • Understand MLOps lifecycle and production ML workflows
  • Build CI/CD pipelines for machine learning systems
  • Use Docker and Kubernetes for scalable deployments
  • Deploy ML models using cloud platforms (AWS, GCP, Azure)
  • Monitor models and detect performance drift
  • Implement automated testing and validation for ML systems
  • Work with real-time ML pipelines and streaming systems
  • Use Infrastructure as Code for scalable deployments
  • Ensure security, compliance, and governance in ML systems
  • Integrate ML workflows with data engineering pipelines
  • Build portfolio-ready MLOps projects
  • Prepare for MLOps and ML engineering roles

Courses in the Bundle (2)

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