Generative AI and LLMOps: Building Blocks and Applications
Learn how to leverage LLMs for industry applications — from architecting prompts and chains to evaluating and deploying generative-AI systems in production.
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Online Courses
Four LinkedIn Learning courses I designed and instructed, covering generative AI, LLMOps, MLOps on Google Cloud, and on-device ML. 26,000+ learners across the catalog. Built for practitioners who want to ship, not just understand.
Learning TinyML
A hands-on course on implementing machine learning on resource-constrained IoT devices — quantization, on-device inference, and the tradeoffs that come with running models at the edge.
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Learning Vertex AI: MLOps with Google Cloud
Master end-to-end machine learning operations on Google Cloud's Vertex AI platform — pipelines, model registry, deployment, monitoring, and the production glue that holds it all together.
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Advanced LLMOps: Deploying and Managing LLMs in Production
Take LLMs from prototype to production. Covers serving infrastructure, evaluation, observability, cost optimisation, and the operational patterns that keep LLM systems reliable at scale.
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Explore the full catalog
26,000+ learners across the four courses above — plus a 40-hour Udacity program on ML for Intel devices used in Intel's enterprise enablement (30,000+ students).
See my full catalog on LinkedIn Learning →