Build job-ready skills with our Classroom and Online LLM Engineering Training at WebAsha Technologies. It is hands-on, practical and focused on employability.
Training Overview:
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 - preparing you to build reliable, production-grade LLM systems.
Intended Audience:
This course is ideal for developers, machine learning and AI engineers who want to engineer reliable, production-grade LLM systems and move into premium LLM engineering roles.
Topics Covered:
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LLM App Stack: Architecture.
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Advanced Prompting: Reliable outputs.
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RAG Optimization: High-quality retrieval.
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Fine-Tuning: LoRA/QLoRA and when.
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Evaluation: LLM-as-judge and tests.
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Guardrails & Safety: Reliable systems.
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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.
Pre-Requisites:
Python and familiarity with LLMs are recommended. Our Large Language Models and Generative AI courses are ideal companions before this advanced program.
Career Benefits:
LLM engineering is a premium specialisation. In India, LLM engineers typically earn ₹7 LPA to ₹46+ LPA.