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Introduction to NLP

Standard Course
Intermediate
Fully Ready

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

  • Module 1: Logistic Regression

    Overview:

    This module demonstrates the fundamentals of logistic regression and its application in binary classification tasks.

    Topics to Cover:

    • What is Logistic Regression?
    • Understand the predictions of Logistic Regression
    • Implement a Logistic Regression

  • Module 2: Neural Networks

    Overivew:

    This module dives into neural network (NN) mathematics and implementation, including hands-on work with PyTorch.

    Topics to Cover:

    • Mathematical calculations involved in Neural Network
    • Creating NN from scratch
    • Implement NN with PyTorch

  • Module 3: NLP Basics

    Overview:

    This module teaches the basic text processing techniques using NLTK and Spacy, along with regular expressions.

    Topics to Cover:

    • What is NLTK?
    • Introduction to text processing
    • Traditional NLP model using Spacy
    • Application of Regular Expression

  • Module 4: Language Representation

    Overview:

    This module explores various techniques for representing text data, including TF-IDF, word co-occurrence, GloVe, and Word2Vec.

    Topics to Cover:

    • Application of various language processing
    • Apply Ttext processing techniques
    • What is Word2Vec?
    • Work with Gensim Models

  • Module 5: Traditional ML for NLP

    Overview:

    This module examines various NLP tasks and traditional machine learning algorithms for solving them.

    Topics to Cover:

    • Understand the different NLP tasks
    • Apply different encoding methods
  • Module 6: Neural Network for NLP

    Overview:

    This module studies the application of RNNs, LSTMs, and GRUs in NLP tasks, including their architecture and functionality.

    Topics to Cover:

    • Understanding the basic NN and RNN models
    • Applying single-layered and multi-layered RNN
    • Understand LSTM and GRU
    • Apply LSTM and GRU model with single and multi-layers

  • Module 7: Bidirectional LSTM for NLP

    Overview:

    This module teaches about bidirectional LSTMs and their advantages for NLP applications.

    Topics to Cover:

    • Understand Bidirectional LSTM models
    • Apply different encoding methods to Bidirectional LSTM models

  • Module 8: Evaluating NLP Models

    Overview:

    This module examines evaluation metrics for different NLP tasks, including loss functions and performance measures.

    Topics to Cover:

    • What are the evaluation metrics?
    • Different metrics and their applications
    • Examine various many to many metrics

Tools

Python
Jupyter
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STUDENT REVIEWS

What our graduates are saying

I had an incredible experience at this data science bootcamp! Coming in with no prior knowledge, I was amazed at how quickly I gained a solid understanding of the field. The curriculum is intensive and hands-on, allowing me to learn real, applicable skills through working on real client projects. The staff are exceptionally supportive and always ready to help. This bootcamp truly transformed my career path, and I couldn’t be more grateful for the knowledge and confidence I’ve gained. Highly recommended for anyone looking to break into data science!

My experience was awesome. I was taught by professional data engineers who shared their insights based on their professional experience. The topics covered are relevant to what employers are looking for and I enjoyed hands-on projects. I learned all the skills I needed to be a data engineer and I got a full-time offer as a data engineer, thanks to the mentors from WecloudData. I highly recommend this program. I was able to land interviews at Amazon, Yelp, CI Financial e.t.c

Deciding to go with WeCloudData was one of the best decisions I made during my career switch. Their Bootcamps are intense but they get you where you need to go. The instructors are amazing and the TAs very knowledgeable. Their client projects taught me a lot even after the bootcamp was done. I was able to land my current job thanks to the skills and training from the course.

I had the pleasure of attending WeCloudData’s Data Fundamentals bootcamp, which was fantastic. The highly qualified instructors used cutting-edge teaching techniques that greatly facilitated understanding the logic of coding and programming. They carefully progressed us from fundamental to more complex subjects, avoiding any feeling of overload. I wholeheartedly endorse this course for anyone hoping to become a data analyst—it’stheonly one you’ll need. The teachers are very outstanding!

This bootcamp provided me with the necessary technical skills and industry knowledge to secure a data job. The instructors are knowledgeable and shared everything they know to help me achieve my goals. The TAs are resourceful and patient answering my questions. The projects in the bootcamp enhanced my knowledge and impressed interviews. This is a wonderful bootcamp if you are looking to either imporve your skills or switch career!

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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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