Build job-ready skills with our Classroom and Online Large Language Models (LLMs) Training at WebAsha Technologies. It is hands-on, practical and focused on employability.
Training Overview:
is a hands-on, job-oriented program on large language models - the engines behind modern AI. It covers how transformers and LLMs work, tokenization and embeddings, using open and closed models, prompting, fine-tuning and parameter-efficient fine-tuning (LoRA/QLoRA), retrieval-augmented generation, evaluation, and deploying and serving LLMs - preparing you for LLM developer and AI engineer roles.
Intended Audience:
This course is ideal for developers, machine learning practitioners and data professionals who want deep, practical large language model skills and to move into LLM and AI engineering roles.
Topics Covered:
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Transformers: How LLMs work.
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Tokenization & Embeddings: Text to vectors.
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Open & Closed Models: Llama, Mistral, GPT.
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Prompting: In-context learning.
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Fine-Tuning: LoRA and QLoRA.
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RAG: Grounding in data.
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Evaluation: Benchmarking LLMs.
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Deployment: Serving models.
Requirements:
Basic computer familiarity is recommended. Online participants need a stable internet connection and a laptop/desktop for the live labs.
Pre-Requisites:
Basic Python and some familiarity with machine learning help. If you are new to Python, our Python Programming course is the ideal first step; our Machine Learning course is a good companion.
Career Benefits:
LLM skills are premium. In India, LLM developers and AI engineers typically earn ₹6 LPA to ₹45+ LPA.