Open Source Models Skills you will learn

  • Hugging Face Transformers
  • FineTuning PreTrained Models
  • Data Preprocessing and Tokenization
  • Text Classification and Sentiment Analysis
  • Building Chatbots with Hugging Face Models
  • Ethical AI and Bias Management

Who should learn this free Open Source Models course?

  • Machine Learning Engineer
  • NLP Engineer
  • Data Scientist
  • AI Solutions Architect
  • Deep Learning Engineer
  • AI Product Manager

What you will learn in this free Open Source Models course?

  • Open Source Models with Hugging Face

    • Introduction

      01:50
      • Introduction
        01:50

    • Lesson 1: Open Source Models in Hugging Face Hub

      05:14
      • Open Source Models in Hugging Face Hub
        05:14

    • Lesson 2: What is NLP?

      17:51
      • What is NLP?
        17:51

    • Lesson 3: Translate and Summarize Text using Hugging Face Transformers

      09:59
      • Translate and Summarize Text using Hugging Face Transformers
        09:59

    • Lesson 4: Sentence Embeddings using Hugging Face

      07:41
      • Sentence Embeddings using Hugging Face
        07:41

    • Lesson 5: Zero-Shot Audio Classification

      20:48
      • Zero-Shot Audio Classification
        20:48

    • Lesson 6: ASR using Hugging Face Transformer

      20:42
      • ASR using Hugging Face Transformer
        20:42

    • Lesson 7: Object Detection using Hugging Face Transformer and Gradio

      19:20
      • Object Detection using Hugging Face Transformer and Gradio
        19:20

    • Lesson 8: Image Segmentation and Depth Estimation

      23:10
      • Image Segmentation and Depth Estimation
        23:10

    • Lesson 9: Image Retrieval using BLIP Model

      08:21
      • Image Retrieval using BLIP Model
        08:21

    • Lesson 10: Image Captioning

      07:59
      • Image Captioning
        07:59

    • Lesson 11: VQA using BLIP Model

      06:49
      • VQA using BLIP Model
        06:49

    • Lesson 12: Zero-Shot Image Classification

      08:02
      • Zero-Shot Image Classification
        08:02

Get a Completion Certificate

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Why you should learn Open Source Models?

$424.01 Billion

Expected size of the global Machine Learning market by 2030.

$163K+ (USA) | INR 10.5 LPA

Average Salary of a Machine Learning Engineer annually.

About the Course

The Open Source Models with Hugging Face course teaches you how to work with Hugging Face’s powerful open-source models for natural language processing (NLP). Learn how to fine-tune pre-trained models, apply them to tasks like text classification, sentiment analysis, and machine translation, and deploy them in real-world applications. This hands-on course covers everything from model tokenization and data preprocessing to ethical considerations, helping you master NLP tasks using Hugging Face's tools and frameworks.

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FAQs

  • What is the Open Source Models with Hugging Face course about?

    This course covers the fundamentals of using Hugging Face's open-source models for building AI and machine learning applications. Learn how to integrate pre-trained models, fine-tune them, and deploy them for various natural language processing tasks.

  • Who should take this Open Source Models with Hugging Face course?

    This course is ideal for AI enthusiasts, machine learning engineers, data scientists, and developers who want to learn how to work with Hugging Face’s open-source models to solve real-world AI problems, especially in NLP.

  • Do I need prior experience with machine learning or Hugging Face?

    While prior knowledge of machine learning and basic Python programming is helpful, this course provides a beginner-friendly introduction to Hugging Face’s tools, making it suitable for both beginners and intermediate learners.

  • What skills will I learn in this Open Source Models with Hugging Face course?

    You will learn how to use Hugging Face's library for deploying, fine-tuning, and optimizing pre-trained models for various NLP tasks like text classification, translation, summarization, and sentiment analysis.

  • What kind of models will I work with in this Open Source Models with Hugging Face course?

    This course focuses on Hugging Face's popular open-source models such as BERT, GPT-2, T5, and DistilBERT, exploring how to apply them for text analysis, language generation, and other NLP applications.

  • Is this Open Source Models with Hugging Face course practical or theoretical?

    This course is hands-on, with real-world projects and examples where you will work with Hugging Face models to solve NLP challenges.

  • How long will it take to complete this Open Source Models with Hugging Face course?

     This Open Source Models with Hugging Face course is 2 hours long.

  • Will I receive any certificate after completing the Open Source Models with Hugging Face course?

     Yes, you will a certificate post successful completion of this Open Source Models with Hugging Face course.

  • What tools and platforms will I use in this Open Source Models with Hugging Face course?

    You will use the Hugging Face Transformers library, Jupyter Notebooks, Python, and popular deep learning frameworks like TensorFlow and PyTorch to work with pre-trained models, fine-tune them, and deploy them in various applications.

  • How can I apply what I learn in this Open Source Models with Hugging Face course?

    The skills you acquire will enable you to build AI-driven applications, such as chatbots, sentiment analysis tools, text summarizers, and more. You will also be able to contribute to open-source projects and develop custom NLP solutions for businesses and research.

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