Fine-Tuning and Customization in Generative AI

Name: Fine-Tuning and Customization in Generative AI
Price: 199.00 USD

4 Lesson

4 Hours

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Fine-Tuning and Customization in Generative AI is a process that adapts AI models to specific tasks or datasets, improving their performance and relevance for targeted applications.

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Overview

Prerequisite

Introduction to Generative AI
Large Language Models in Generative AI
Prompt Engineering in Generative AI
Application Development with Generative AI
Retrieval-Augmented Generation in Generative AI
Multi-Model Implementation in Generative AI
Evaluation and Cost Optimization in Generative AI

What will you learn

Fundamentals of Fine-Tuning in Generative AI
Preparing Data for LLM Fine-Tuning
Fine-Tuning Large Language Models
Evaluating and Deploying Fine-Tuned Models

Course Curriculum

Lesson 1 - Fundamentals of Fine-Tuning in Generative AI

1. Introduction to Generative AI Model Customization

2. Fine-Tuning vs Prompt Engineering vs Retrieval-Augmented Generation (RAG)

3. Overview of OpenAI, Hugging Face Transformers, and LLM Fine-Tuning Workflows

Lesson 2 - Preparing Data for LLM Fine-Tuning

1. Dataset Collection, Cleaning, and Annotation for AI Training

2. Formatting Training Data using JSONL and Instruction-Based Datasets

3. Using Hugging Face Datasets and Pandas for Data Preparation

Lesson 3 - Fine-Tuning Large Language Models

1. Fine-Tuning LLMs with Hugging Face Transformers and PyTorch

2. Parameter-Efficient Fine-Tuning using LoRA and PEFT

3. Using OpenAI Fine-Tuning APIs for Custom Model Training

Lesson 4 - Evaluating and Deploying Fine-Tuned Models

1. Model Evaluation using BLEU, ROUGE, and Human Evaluation

2. Testing Model Performance with Prompt Benchmarks

3. Deploying Fine-Tuned Models using APIs and Inference Endpoints

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Course Fees

Online Class Room Program

US $ 199.00

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Duration : 4 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 13 Aug 2026
Weekday Batch 17 Aug 2026
Weekend Batch 15 Aug 2026

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