2025 - Understand ,Test ,Fine-tune AI Model with HuggingFace

Understand Transformer models and learn how to Test, Evaluate, and Train them with HuggingFace NLP library

What you'll learn
Understanding Machine learning and working with Machine learning models
Understanding Transformer models like GPT, BERT, DistilBERT, GPT2, GPT4
Working with Transformer libraries of HuggingFace
Testing AI Models with different cutting edge techniques
Working with AI Agents
Fine-Tuning AI Models and working with custom AI models

Requirements
Basics of Python
Basic understanding of working with ChatGPT or any AI tool
Basic concepts of any programing understanding

Description
Understanding, Testing, and Fine-tuning AI Models with the HuggingFace Library is a comprehensive course designed to guide you from the foundational concepts of machine learning all the way to advanced techniques for building your own Large Language Models (LLMs). Perfect for both newcomers and experienced engineers, this course ensures you gain hands-on expertise in every step of the machine learning pipeline—ranging from basic principles to sophisticated model testing, fine-tuning, and deployment.What You’ll Learn1. Introduction to Machine LearningLay a strong foundation by exploring key ML concepts and essential terminology.2. Working with Natural Language Processing (NLP) LibrariesDiscover how to process, analyze, and derive insights from textual data using popular NLP tools.3. In-Depth Understanding of the Transformers LibraryDive deep into HuggingFace’s Transformers, the gold standard for building state-of-the-art NLP and LLM solutions.4. Various Ways to Work with Large Language Models (LLMs)Learn multiple methods to interact with and utilize LLMs for diverse real-world applications.5. Functional Testing of AI ModelsEnsure your models work reliably under different scenarios by applying systematic testing strategies.6. Bias and Fairness TestingMaster techniques to detect and mitigate unintended bias, fostering ethical and equitable AI practices.7. Evaluating AI ModelsMeasure performance using robust metrics and refine your models for optimal results.8. Working with AI AgentsUnderstand how to build, configure, and integrate intelligent agents into your workflows.9. Fine-tuning and Training AI ModelsCustomize pre-trained models or build your own from scratch, tailoring them to your specific project requirements.By the end of this course, you’ll be equipped with the knowledge and practical experience to confidently develop, test, and optimize your own Transformer-based models and LLMs, setting you on an exciting path in the rapidly evolving world of AI.

Who this course is for
QA
Dev
SRE
Data scientists
Anyone who want to learn AI and upskill