Introduction to NLP

Standard Course
Intermediate
Early Access

About the Course

A comprehensive introduction to NLP, from basic text processing to advanced models like RNNs and transformers. Through hands-on projects with popular libraries, learn to build and evaluate solutions for tasks such as text classification, sentiment analysis, and machine translation.

Learning Outcomes

By the end of this course, participants will be able to:

  • Explain the architecture and working principles of transformers and attention mechanisms.
  • Implement transformer encoders and decoders from scratch.
  • Develop and fine-tune large language models like BERT and GPT for various NLP tasks.
  • Evaluate and deploy LLMs effectively in real-world applications.
  • Utilize RAG techniques to enhance the capabilities of LLMs in information retrieval and generation tasks.

Curriculum

Tools

Python
Jupyter
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Common Questions

Find answers to your questions about the Learning Track
  • Standard Courses: Focused, short courses that build foundational or intermediate skills through hands-on exercises, enabling you to apply what you learn immediately.
  • Track Courses: Structured learning paths that guide you from beginner to advanced levels. They include practical projects that integrate multiple tools and workflows, aligned with industry best practices, helping you gain the skills and confidence to tackle real-world challenges.

No. Track Courses are only accessible through the Professional or Unlimited+ subscription plans.

  • Standard Plan gives you access to all Standard Courses.
  • Professional Plan gives you access to both Standard and Track Courses within your chosen domain.
  • Unlimited+ Plan provides full access to all courses — both Standard and Track — across all domains.

 

Yes, all courses are designed to be self-paced. Learn when it fits your schedule.

Each course includes prerequisites if needed. Many Standard Courses are beginner-friendly.

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