1. MLOps and LLMOps: Deploying and Scaling AI in Production
Coursera
CI/CD, deployment, and production observability
AIITE Certificate Program · Track 5 of 5
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LLM Serving & Production Deployment
Deploy, serve, and scale LLM applications in production — inference optimization, MLOps, and cloud-scale AI architecture. Complete every course below and submit a screenshot of each completion.
Course links open each provider’s own site in a new tab. AIITE does not control their content, pricing, or availability. Some providers charge for graded assignments, completion records, or certificates even when the course itself is free to audit.
7Courses in this track
Intermediate–AdvancedSkill level
Certificate earnedAIITE Certificate of Completion in LLM Serving & Production Deployment
Learning PathAIITE Certified AI Practitioner (given only when all tracks are completed)
Providers in this track
CourseraDeepLearning.AIDeepLearning.AI (Coursera)
There are 7 courses in this track
2. LLMOps
DeepLearning.AI
Erwin Huizenga, Google Cloud
3. Fast and Efficient LLM Inference with vLLM
DeepLearning.AI
Cedric Clyburn, Red Hat
4. Efficiently Serving LLMs
DeepLearning.AI
Travis Addair, Predibase
5. Serverless LLM Apps with Amazon Bedrock
DeepLearning.AI
Mike Chambers, AWS
6. Blueprint to Bytecode: Architecting Scalable AI Systems
Coursera
Kubernetes, GPU infrastructure, and MLOps
7. Machine Learning in Production
DeepLearning.AI (Coursera)
Andrew Ng, DeepLearning.AI
AIITE independently curates these learning resources and is not affiliated with, sponsored by, or endorsed by the listed providers unless expressly stated. Provider certificates and AIITE credentials are separate awards. AIITE issues certificates in this program after verifying the completion evidence you submit; this is not an independent AIITE examination of competency.