MLOps & LLMOps Practice Tests: Test Your Production Skills
Test your skills in CI/CD for AI, Docker, Kubernetes, model monitoring, and production-grade LLM system design.
26
students
1383 questions
content
Jul 2025
last update
$19.99
regular price
What you will learn
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.
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6732567
udemy ID
21/07/2025
course created date
24/07/2025
course indexed date
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