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Hugging Face Mastery: Models, Datasets & Build AI Apps End-to-End

Learn how to explore, use, and deploy AI models with Hugging Face, including datasets, Spaces, and real-world applications.

🏷️ HuggingFace AIModels NLP GPT-2 ML Deep_Learning Datasets AIApps Transformers Development
0.0 (0 ratings) • 1 students
  1. ▶️ Recorded Course
  2. Course Instructor: Md Abdullah Al Mamun
  3. Category: Artificial Intelligence
  4. Sub Category: Generative AI
  5. Child Category: HuggingFace
  6. Last updated: 05/2026
  7. Language: English
Course Style Plan
🎬 Course Mode ⏰ Daily Spend 🗓️ Weekly Schedule 📊 Total Class ⏳ Course Duration
▶️Recorded Course 1 Hours Mon, Wed, Sat 1 1 Hours

Hugging Face Mastery: Models, Datasets & Build AI Apps End-to-End

Artificial Intelligence > Generative AI > HuggingFace
HuggingFace AIModels NLP GPT-2 ML Deep_Learning Datasets AIApps Transformers Development

Learn how to explore, use, and deploy AI models with Hugging Face, including datasets, Spaces, and real-world applications.

Course Requirements

  1. 💻 Basic Computer Knowledge: Familiarity with using a computer, installing software, and browsing the internet.
  2. 🧠 Basic Programming Understanding (Optional but Helpful): Knowledge of any programming language (like C, Java, or JavaScript) will be beneficial.
  3. ⚙️ Laptop / PC Configuration: Minimum 8GB RAM (recommended), SSD storage, and a modern processor for smooth development.
  4. 🌐 Internet Connection: Stable internet connection for downloading tools, dependencies, and accessing resources.
  5. 🧑‍💻 Software Installation: Ability to install tools like Flutter SDK, Android Studio, or VS Code.
  6. 📱 Android Device (Optional): A physical Android phone for real-device testing (emulator can also be used).
  7. 🧩 Google Account: Required for accessing Google services and publishing apps on Play Store.
  8. 🔥 Willingness to Learn & Practice: Dedication to coding, debugging, and building real-world projects.

Course Details

This course is designed to help you master Hugging Face, one of the most powerful and widely used platforms for building, sharing, and deploying AI models.

You’ll start with a complete introduction to Hugging Face, exploring its homepage, features, and ecosystem. Then, you’ll learn how to set up and customize your profile to become an active member of the AI community.

Next, you’ll dive deep into discovering and using models—from NLP to computer vision. You’ll gain hands-on experience running models like GPT-2 for text generation tasks.

The course also covers working with datasets—how to search, load, use, and even upload your own datasets with proper documentation. You’ll explore Hugging Face Spaces, where you can build and share AI-powered applications easily.

Additionally, you’ll understand how the Hugging Face community works, how to collaborate, and how to leverage official documentation for faster learning. The course also introduces enterprise solutions, pricing models, and additional tools that can help scale AI projects.

By the end of this course, you will:

  • Navigate and use the Hugging Face platform efficiently
  • Discover and run pre-trained AI models
  • Work with datasets for training and evaluation
  • Build and share AI apps using Spaces
  • Contribute to and collaborate with the community
  • Understand enterprise features and pricing options

This course is perfect for beginners, AI engineers, data scientists, and developers who want to build real-world AI applications using Hugging Face.