Test your skills in CI/CD for AI, Docker, Kubernetes, model monitoring, and production-grade LLM system design.
Sub Category
- Data Science
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Objectives
- Validate your ability to design and implement end-to-end CI/CD pipelines for AI systems.
- Test your skills in containerizing and scaling ML applications with Docker and Kubernetes.
- Solve complex problems related to monitoring, detecting, and mitigating model and data drift.
- Demonstrate your expertise in architecting and managing production-grade LLM systems.
- Benchmark your knowledge of versioning practices for data, code, and models.
- Test your ability to select and optimize vector databases for RAG applications.
- Troubleshoot common deployment issues in a simulated production environment.
- Apply cost-management and security best practices for AI infrastructure.
- Prepare for demanding MLOps and LLMOps job interviews by solving realistic problems.
- Assess the trade-offs between different deployment strategies like canary releases and A/B testing.
- Gain the confidence that your skills are aligned with industry best practices and expectations.
- Identify personal knowledge gaps to guide your future learning and development.
Pre Requisites
- Strong, hands-on experience with Python programming and ML frameworks (e.g., Scikit-learn, PyTorch).
- Prior experience building and training machine learning models.
- A solid understanding of the MLOps lifecycle, from development to production.
- Practical experience with Git for version control.
- Working knowledge of Docker for containerization.
- Familiarity with CI/CD concepts and tools (e.g., GitHub Actions, Jenkins).
- A conceptual understanding of Kubernetes or other container orchestration systems.
- Familiarity with at least one major cloud provider (AWS, GCP, or Azure).
- Previous exposure to the challenges of deploying and monitoring systems in production.
- This is not a beginner course; it is designed to test existing knowledge.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)