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🧠 Understand, Test, and Fine-tune AI Models with Hugging Face

💡 Note

All the courses are available on Udemy, and they almost always have a coupon code available.
For discounts, please feel free to reach out at karthik@techgeek.co.in.

🎯 Course Link:
Understand, Test, and Fine-tune AI Models with Hugging Face

📚 Course Description​

This course provides a complete journey into Understanding, Testing, and Fine-tuning AI Models using the Hugging Face library. Whether you are a beginner or an experienced engineer, this course equips you with hands-on expertise in every step of the machine learning pipeline, from basic concepts to advanced model testing, fine-tuning, and deployment.

🚀 What You’ll Learn​

  1. 📈 Introduction to Machine Learning:
    Lay a strong foundation by exploring key ML concepts and essential terminology.

  2. 📊 Working with Natural Language Processing (NLP) Libraries:
    Learn how to process, analyze, and derive insights from textual data using popular NLP tools.

  3. 💡 Deep Dive into the Transformers Library:
    Master Hugging Face’s Transformers, the industry standard for building state-of-the-art NLP and LLM solutions.

  4. 🧠 Working with Large Language Models (LLMs):
    Explore multiple methods to interact with and utilize LLMs for diverse real-world applications.

  5. 🧪 Functional Testing of AI Models:
    Ensure your models perform reliably across different scenarios using systematic testing strategies.

  6. ⚖️ Bias and Fairness Testing:
    Implement techniques to detect and mitigate unintended bias, promoting ethical and fair AI practices.

  7. 📏 Evaluating AI Models:
    Measure performance with robust metrics and refine your models for optimal results.

  8. 🤖 Working with AI Agents:
    Build, configure, and integrate intelligent agents into your workflows.

  9. 🔬 Fine-tuning and Training AI Models:
    Customize pre-trained models or create your own from scratch to meet specific project requirements.

By the end of this course, you’ll gain the knowledge and practical experience needed to confidently develop, test, and optimize your own Transformer-based models and LLMs, empowering you to thrive in the rapidly evolving world of AI.