LLM (Large Language Models) – IT CERTIFICATION PROGRAM 2026
A complete 6-month program covering Python, Machine Learning, Deep Learning, NLP, Transformers, Fine-Tuning, RAG Systems, LLM Deployment, Agents, and Interview Preparation.
Skills you will learn
- Month 1: Python, Math for ML & ML Fundamentals
- Month 2: Deep Learning Foundations
- Month 3: NLP Foundations & Vector Embeddings
- Month 4: LLMs, Fine-Tuning & RAG Systems
Get a Completion Certificate
Showcase your LLM an AI expertise and boost your LinkedIn profile.

About the Course
A comprehensive, industry-aligned LLM (Large Language Models) program designed to take you from beginner to job-ready AI professional. This course covers the complete modern LLM stack—including NLP fundamentals, transformer architecture, prompt engineering, fine-tuning, embeddings, vector databases, and building real-world LLM-powered applications using industry-standard tools and frameworks.
You will learn how to design, deploy, and optimize intelligent applications powered by large language models. The curriculum emphasizes hands-on learning through real-world projects, case studies, and practical assignments covering chatbots, AI agents, retrieval-augmented generation (RAG), document intelligence, API integrations, and cloud deployment of LLM solutions.
By the end of the program, you will have built production-ready LLM applications, gained a strong understanding of model behavior, performance optimization, and ethical AI practices, and developed the confidence to apply for AI engineer, LLM engineer, machine learning engineer, or generative AI developer roles. This course is ideal for students, freshers, and professionals who want to build a future-proof career in artificial intelligence and generative AI.
FAQs

Abhishek Kumar Shaw
7+ years of experience in AI/ML, LLMs, RAG systems, and end-to-end deployment. Expert in Python, Deep Learning, LLM Fine-Tuning, and AI System Architecture.
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Learn LLMs, Fine-Tuning, Agents, and build enterprise-level AI applications.