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LLM & Advanced AI Technical Training

Master Large Language Models, fine-tuning techniques, RAG systems, and agentic AI architectures

5-7 Days

ML Engineers & Data Scientists

Hands-On Labs

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Program Overview

Deep technical training on Large Language Models covering architecture fundamentals, fine-tuning methodologies, Retrieval-Augmented Generation (RAG), prompt engineering, and building production-ready agentic systems. This hands-on program equips ML engineers and data scientists with the skills to build, customize, and deploy LLM-powered applications.

Through practical labs and real-world projects, you'll gain expertise in state-of-the-art techniques including LoRA, QLoRA, PEFT, vector databases, and multi-agent architectures.

What You'll Master

LLM fundamentals and transformer architecture
Fine-tuning with LoRA, QLoRA, and PEFT techniques
Retrieval-Augmented Generation (RAG) systems
Vector databases and embedding strategies
Advanced prompt engineering and optimization
Building agentic AI systems and multi-agent workflows
Model evaluation, monitoring, and deployment

Learning Outcomes

Fine-Tuning Mastery

Implement efficient fine-tuning using LoRA, QLoRA, and PEFT for domain-specific applications

RAG Systems

Build production-ready RAG pipelines with vector databases and advanced retrieval strategies

Agentic AI

Design and deploy autonomous agents and multi-agent systems for complex workflows

Production Deployment

Deploy, monitor, and optimize LLM applications at scale with MLOps best practices

Who Should Attend

ML Engineers

Building and deploying LLM applications

Data Scientists

Experimenting with LLMs and fine-tuning

AI Researchers

Advancing LLM capabilities and techniques

Technical Leads

Architecting LLM-powered solutions