Build job-ready skills with our Classroom and Online LLM Engineering Training at WebAsha Technologies. Classes are hands-on and built around the work employers hire for.
Training overview:
This is an advanced, job-oriented program on engineering production systems with large language models. It covers the LLM application stack, advanced prompting and structured output, RAG architecture and optimization, fine-tuning (LoRA/QLoRA) and when to use it, function calling and agents, evaluation and testing (LLM-as-judge), guardrails and safety, cost, latency and caching, serving and scaling, and LLMOps. It prepares you to build reliable, production-grade LLM systems.
Intended audience:
The course suits developers and machine learning and AI engineers who want to build reliable, production-grade LLM systems and move into well-paid LLM engineering roles.
Topics covered:
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LLM app stack: How production systems are put together.
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Advanced prompting: Getting reliable outputs.
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RAG optimization: High-quality retrieval.
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Fine-tuning: LoRA/QLoRA, and when to use it.
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Evaluation: LLM-as-judge and tests.
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Guardrails & safety: Keeping systems safe and predictable.
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Cost & latency: Caching and streaming.
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Serving & LLMOps: Scaling and monitoring.
Requirements:
Basic computer familiarity is recommended. Online participants need a stable internet connection and a laptop/desktop for the live labs.
Prerequisites:
Python and familiarity with LLMs are recommended. Taking our Large Language Models and Generative AI courses first is a good way to prepare for this advanced program.
Career benefits:
LLM engineering is a well-paid specialisation. In India, LLM engineers typically earn ₹7 LPA to ₹46+ LPA.