Udemy
PaidAI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
Explore Ed Donner’s LLM engineering course on model selection, RAG, fine-tuning, and agents, with Python prerequisites and API cost notes.
Google Cloud — Google Cloud Training
Review Google Cloud’s short introductory LLM course for use cases, prompt tuning and its generative-AI development tools, aimed at beginners.
Opens on the provider’s site. Check current access and certificate terms there.
Google Cloud offers a compact introduction to large language models, their use cases and prompt tuning. Its published outcomes also introduce Google’s generative development tools. This is an orientation course for comparing concepts before committing to a longer model-development program.
Beginners; detailed prerequisites are not stated in the published course facts.
Check the current Google tool names and what enrollment includes. The short scope is suitable for orientation, while hands-on model training or application deployment needs additional study.
Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.
Choose one proposed LLM use case and write a clear input and output example. List the facts or constraints that the generated response would need to respect.
This overview is based on the provider's published information, checked on . It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.
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