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Master LLM Fine-tuning& Production Deployment

Comprehensive program covering model fine-tuning, quantization, RAG systems, and production deployment. Includes 17+ video lessons, Python Fundamentals, and 15+ Colab notebooks. All in 199 Rs

Sample Lesson Preview

How back propagation works?

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Interactive Video Lessons

17+ HD video lessons with watchtime and progress traking

Hands-on Colab Notebooks

15+ Google Colab notebooks

Production Deployment

Step-by-step guides for fine-tuning, quantizing and deploying LLMs using vLLM and Haystack

RAG Implementation

Build retrieval-augmented generation systems from scratch

Comprehensive Curriculum

Detailed curriculum covering from foundational concepts to advanced implementations

Module 1: Python and Neural Network Foundations

Python Fundamentals with Google Colab

Deep dive into Python, covering advanced data structures, functional programming, and scientific computing libraries

Neural Networks Fundamentals

From perceptrons to deep learning: comprehensive exploration of neural network architectures and learning algorithms

Module 2: Transformer Architecture

Understanding Transformers

Comprehensive analysis of attention mechanisms, self-attention, multi-head attention, and transformer innovations

Advanced Transformer Implementations

Implementation of state-of-the-art transformer models

Module 3: Large Language Models

LLAMA and Foundation Models

Deep exploration of LLAMA architectures, scaling laws, and foundation model capabilities

Advanced Fine-tuning Techniques

Instruction tuning and model adaptation strategies

Module 4: Model Optimization and Deployment

Advanced Quantization

Cutting-edge model compression techniques, 4-bit quantization, and efficient inference strategies

AI Deployment

Deploying the fine-tuned model as a RESTful API using vLLM and Haystack

What You'll Achieve

Practical skills and knowledge to implement LLM solutions in real-world scenarios

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Fine-tuning Mastery

Learn fine-tuning techniques (LoRA, QLoRA, Adapters) across Llama model architecture

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Optimization Techniques

Model quantization for production deployment

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RAG Architecture

Build end-to-end RAG systems with semantic search and hybrid retrieval

Frequently Asked Questions

Everything you need to know about the course and learning process

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Join 1,500+ developers who've transformed their LLM skills. Everything you need to go from theory to production-ready solutions.

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