Introduction to Transformers and Attention Mechanisms

  • IntermediateLevel

  • 2732+Students Enrolled

  • 3 Hrs Duration

  • 4.6Average Rating

hero fold image

About this Course

  • Build NLP models with real-world applications, applying practical techniques and insights.
  • Master self-attention, multi-head attention & Transformer architectures for NLP tasks
  • Explore RNNs, GRUs & LSTMs to efficiently process sequential data and text inputs.
  • Apply NLP techniques for text classification, generation, and translation with real-world use cases.

Course Benefits

  • Understand how transformers and attention mechanisms power modern AI models like BERT, GPT, and T5 used in real-world NLP systems.
  • Build a strong foundation in sequence models by learning RNNs, GRUs, LSTMs, encoder-decoder models, and self-attention step-by-step.
  • Gain hands-on experience implementing text classification, headline generation, and pretrained transformer applications using practical examples.

Learning Outcomes

Transformers in Action

Understand how Transformers revolutionize NLP models and tasks.

Master in Self-Attention

Master self-attention and multi-head attention mechanisms.

Building NLP Models

Develop models for classification, translation, and generation.

Who Should Enroll

  • AI & ML enthusiasts eager to explore NLP and deep learning models for real-world applications.
  • Data Scientists & Engineers – Professionals looking to master Transformers and self-attention.
  • Students & Researchers – Learners aiming to apply NLP techniques to real-world challenges.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

tools

  1. 1. Understanding RNN

  2. 2. Back Propogation in RNN

  3. 3. Types of RNN

  4. 4. Building a basic classification model

  5. 5. Word Embeddings

  6. 6. Hands on : Building a RNN model with word indexing

  7. 7. Advanced RNN Architecture

  8. 8. Hands on : Advanced RNN Architecture

  9. 9. Understanding GRUs

  10. 10. Hands on: Bi-Directional GRU model

  11. 11. Understanding Long Short Term Memory (LSTM) Network

  12. 12. Hands on: Bi-Directional LSTM model.

  1. 1. Introduction to Seq2Seq Models

  2. 2. Working of Encoder Decoder in Traning and Testing Page

  3. 3. Introduction to Problem Statement: Text Summarization

  4. 4. Hands on: Buidling a Seq2Seq Models for Headline Extraction

  5. 5. Attention Mechanism

  6. 6. Hands On: Encoder Decoder Attention

  7. 7. Introduction to Transformers

  8. 8. Flow of information in Transformers.

  1. 1. Origin of Transformers

  2. 2. Pre Trained Transformers : BERT

  3. 3. Hands on: Using Pre Trained Transformer BERT

  4. 4. Hands On: Headline extraction using T5

  5. 5. BERT v/s GPT.

Meet the instructor

Our instructor and mentors carry years of experience in data industry

company logo
Apoorv Vishnoi

Head-Training vertical

Apoorv is a seasoned AI professional with over 14 years of experience. He has founded companies, worked at start-ups and mentored start-ups at incubation cells.

Get this Course Now

With this course you’ll get

  • 3 Hours

    Duration

  • Apoorv Vishnoi

    Instructor

  • 4.8

    Average Rating

Certificate of completion

Earn a professional certificate upon course completion

  • Industry-Recognized Credential
  • Career Advancement Credential
  • Shareable Achievement
certificate

Frequently Asked Questions

Looking for answers to other questions?

NLP is the field of computer science focused on enabling machines to understand, interpret, and generate human language. It powers applications like chatbots, translation services, and sentiment analysis.

RNNs are neural networks designed to work with sequences. They maintain a form of memory of previous inputs, which is useful for processing language where the order of words matters.

Self-attention is a mechanism that helps a model determine the relevance of each word in a sentence relative to others. It allows the model to weigh different words based on their importance, capturing context and relationships effectively.

Related courses

Expand your knowledge with these related courses and expand way beyond

Card cap

1 Hour 20 Minutes 6 Lessons 4.6

Getting Started with Large Language Models

Card cap

30 Minutes 1 Lesson4.8

Navigating LLM Tradeoffs: Techniques for Speed, Cost, Scale & Accuracy

Card cap

1 Hour6 Lessons 4.5

Framework to Choose the Right LLM for Your Business

Popular free courses

Discover our most popular courses to boost your skills

Card cap

5 Hours5 Lessons 5

Real World Projects on RAG

4.6
Card cap

12 Hours10 Lessons 10

Data Analyst Learning Path

4.7
Card cap

9 Hours5 Lessons 5

Vibe Coding Learning Path

4.6
Card cap

9 Hours7 Lessons 7

GenAI Learning Path

4.6
Card cap

30 Hours9 Lessons 9

Data Science Learning Path

4.7
Card cap

2 Hours 30 Minutes 6 Lessons 6

Mastering Claude Cowork

Card cap

3 Hours1 Lesson1

AI Interview Questions & Answers Masterclass

Card cap

3 Hours3 Lessons 3

Agentic AI Masterclass: Building Multi-Agent Systems with AutoGen, LangGraph & CrewAI

Card cap

2 Hours5 Lessons 5

LLMOps in Action: Build, Deploy & Scale RAG-Powered AI Systems

Card cap

1 Hour 30 Minutes 2 Lessons 2

Graph RAG: Build Knowledge Graph Powered Retrieval Systems

Card cap

1 Hour 30 Minutes 4 Lessons 4

Mastering Google Antigravity

Card cap

2 Hours0

Building RAG Applications

4.8
Card cap

1 Hour 30 Minutes 3 Lessons 3

Foundations of LangGraph

4.6
Card cap

40 Minutes 0

NotebookLM Essentials to Pro: The Complete Practical Guide

4.7
Card cap

40 Minutes 0

Foundations of Vector Database

4.7
Card cap

1 Hour5 Lessons 5

Gemini 3: The AI That Thinks, Sees and Creates

4.7
Card cap

1 Hour1 Lesson1

RIP Data Scientists

4.7
Card cap

2 Hours1 Lesson1

Building Multi Agent Systems with Strands Agents

4.7
Card cap

1 Hour2 Lessons 2

Vibe Coding with Cursor

4.8
Card cap

1 Hour 30 Minutes 1 Lesson1

Advanced Strands Agents with MCP

4.7
Card cap

2 Hours4 Lessons 4

GenAI to Build Exciting Games

4.9
Card cap

1 Hour1 Lesson1

MCP: Unlock AI integrations with real-world demos

4.8
Card cap

1 Hour2 Lessons 2

ChatGPT as Your Assistant

4.6
Card cap

2 Hours6 Lessons 6

Data Science Course

4.5
Card cap

2 Hours 30 Minutes 4 Lessons 4

LangChain Fundamentals

4.5
Card cap

50 Minutes 2 Lessons 2

Introduction to CrewAI: Building a Researcher Assistant Agent

4.7
Card cap

2 Hours2 Lessons 2

Understanding the working of Neural Networks

4.7
Card cap

1 Hour2 Lessons 2

Vibe Coding with Replit

4.8
Card cap

2 Hours5 Lessons 5

Online Excel Course for Beginners

4.6
Card cap

2 Hours1 Lesson1

A Complete MLops Journey

4.6
Card cap

2 Hours3 Lessons 3

Data Analysis with Apache Hive

4.7
Card cap

1 Hour1 Lesson1

No Code Predictive Analytics with Orange

4.5
Card cap

45 Minutes 1 Lesson1

Building Intelligent Chatbots using AI

4.5
Card cap

1 Hour2 Lessons 2

GenAI for Everyone

4.6
Card cap

4 Hours5 Lessons 5

A B C of Coding to Build AI Agents

4.9
Card cap

30 Minutes 1 Lesson1

Getting Started with Kimi K2

4.7
Card cap

2 Hours2 Lessons 2

Getting Started with Tableau

4.5
Card cap

40 Minutes 2 Lessons 2

How to Build an Image Generator Web App with Zero Coding

4.7
Card cap

2 Hours2 Lessons 2

Building and Evaluating RAG System

4.6
Card cap

40 Minutes 1 Lesson1

Guide to Vibe Coding in Windsurf

4.8
Card cap

30 Minutes 1 Lesson1

Build Products 10x Faster with GenAI

4.8
Card cap

30 Minutes 1 Lesson1

Building a Collaborative Multi-Agent system

4.7
Card cap

2 Hours4 Lessons 4

Building Smarter LLMs with Mamba and State Space Model

4.6
Card cap

1 Hour2 Lessons 2

Nano Banana : Image Magic with Gemini 2.5 Flash

4.8
Card cap

1 Hour1 Lesson1

n8n - A Complete Guide to Automation Tool

4.8
Card cap

2 Hours6 Lessons 6

Building ML Pipelines using MLflow & DVC

4.9
Card cap

1 Hour6 Lessons 6

Generative AI on AWS

4.7
Card cap

1 Hour3 Lessons 3

Model Deployment using FastAPI

4.5
Card cap

30 Minutes 6 Lessons 6

Demystifying OpenAI Agents SDK

4.7
Card cap

30 Minutes 1 Lesson1

Build a Document Retriever Search Engine with LangChain

5
Card cap

1 Hour1 Lesson1

Exploring Stability. AI

4.9
Card cap

45 Minutes 6 Lessons 6

Knowledge Bases & Memory for Agentic AI

4.5
Card cap

1 Hour1 Lesson1

Building Data Analyst AI Agent

4.6
Card cap

40 Minutes 1 Lesson1

Building Scalable Industry Applications with RAG and Agents

4.8
Card cap

1 Hour2 Lessons 2

OpenEngage: Build a complete AI Driven Marketing Engine

4.5
Card cap

1 Hour1 Lesson1

Building a Deep Research AI Agent

4.5
Card cap

5 Hours4 Lessons 4

Mastering Multimodal RAG & Embeddings with Amazon Nova & Bedrock

4.8
Card cap

60 Minutes 3 Lessons 3

Frameworks for effective Problem Solving

4.7
Card cap

1 Hour6 Lessons 6

Framework to Choose the Right LLM For your Business

4.5
Card cap

1 Hour3 Lessons 3

Introduction to AI & ML

4.9
Card cap

3 Hours6 Lessons 6

Microsoft Excel Formulas & Functions

4.8
Card cap

15 Minutes 7 Lessons 7

Tableau for Beginners

4.7
Card cap

5 Hours4 Lessons 4

Introduction to Natural Language Processing

4.6
Card cap

1 Hour20 Lessons 20

Introduction to Python

4.9
Card cap

1 Hour 15 Minutes 3 Lessons 3

Docker for Absolute Beginners

4.8
Card cap

1 Hour3 Lessons 3

Foundations of Data Science

4.8
Card cap

1 Hour 20 Minutes 1 Lesson1

Building Agentic AI System with Bedrock

4.5
Card cap

3 Hours9 Lessons 9

Build Data Pipelines with Apache Airflow

5
Card cap

1 Hour1 Lesson1

Building a Sentiment Classification Pipeline with DistilBert and Airflow

4.6
Card cap

3 Hours3 Lessons 3

Introduction to Transformers and Attention Mechanisms

4.6
Card cap

40 Minutes 1 Lesson1

Mastering Agentic Conversation Pattern with AG2

4.6
Card cap

1 Hour1 Lesson1

Coding a ChatGPT-style Language Model From Scratch in Pytorch

4.6
Card cap

30 Minutes 1 Lesson1

Navigating LLM Tradeoffs Techniques for Speed & Accuracy

4.8
Card cap

1 Hour1 Lesson1

Data Preprocessing on a Real-World Problem

4.5
Card cap

1 Hour 20 Minutes 6 Lessons 6

Getting Started With Large Language Models

4.6
Card cap

4 Hours4 Lessons 4

Exploring-natural-language processing using deep learning

4.5
Card cap

30 Minutes 5 Lessons 5

Ensemble Learning and Ensemble Learning Techniques

4.8
Card cap

2 Hours4 Lessons 4

Evaluation Metrics for Machine Learning Models

4.6
Card cap

1 Hour3 Lessons 3

Exploring OpenAI o3 and o4-mini

4.7
Card cap

1 Hour1 Lesson1

Deep Dive Into QwQ-32B

4.8
Card cap

30 Minutes 1 Lesson1

Build a Resume Review Agentic System with CrewAI

4.8
Card cap

1 Hour 30 Minutes 3 Lessons 3

Getting Started with OpenAI o3-mini

4.8
Card cap

30 Minutes 30 Lessons 30

Reimagining GenAI: Common Mistakes and Best Practices for Success

4.8
Card cap

2 Hours3 Lessons 3

Building LLM Applications using Prompt Engineering

4.7
Card cap

1 Hour6 Lessons 6

Bagging and Boosting ML Algorithms

4.5
Card cap

1 Hour 20 Minutes 1 Lesson1

Understanding Linear Regression

4.7
Card cap

1 Hour1 Lesson1

The A to Z of Unsupervised ML

4.8
Card cap

2 Hours3 Lessons 3

Build your first RAG system using LlamaIndex

4.9
Card cap

9 Hours4 Lessons 4

Getting Started with Deep Learning

4.8
Card cap

1 Hour2 Lessons 2

Dreambooth: Stable DIffusion for Custom Images

4.8
Card cap

1 Hour2 Lessons 2

Nano Course: Building Large Language Models for Code

4.7
Card cap

9 Hours 30 Minutes 5 Lessons 5

Building Data Stories using Excel and Tableau

4.7
Card cap

30 Minutes 2 Lessons 2

Naive Bayes from Scratch

4.5
Card cap

3 Hours2 Lessons 2

Building Agent using AutoGen

4.5
Card cap

3 Hours 30 Minutes 2 Lessons 2

Analyzing Data with Power BI

4.5
Card cap

30 Minutes 1 Lesson1

Foundations of Model Context Protocol

4.8
Card cap

30 Minutes 1 Lesson1

Revolutionizing Query Resolution with a RAG System Assisted by Agents

4.6
Card cap

20 Minutes 6 Lessons 6

xAI Grok 3: Smartest AI on Earth

4.5
Card cap

1 Hour1 Lesson1

DeepSeek from Scratch

4.6
Card cap

34 Minutes 2 Lessons 2

Getting Started with DeepSeek-AI

4.9
Card cap

30 Minutes 1 Lesson1

End to end RAG Application Development with LangChain and Streamlit

4.5
Card cap

1 Hour1 Lesson1

Learning Autonomous Driving Behaviors with LLMs and RL

5
Card cap

1 Hour1 Lesson1

GenAI for Quantitative Finance & Control Implementation

4.8
Card cap

1 Hour1 Lesson1

Creating Problem-Solving Agents with GenAI for Actions

4.5
Card cap

4 Hours3 Lessons 3

Generative AI - A Way of Life

4.5
Card cap

30 Minutes 5 Lessons 5

K-Nearest Neighbors (KNN) Algorithm in Python and R

4.8
Card cap

1 Hour 30 Minutes 9 Lessons 9

Fundamentals of Regression Analysis

4.9
Card cap

1 Hour9 Lessons 9

Pandas for Data Analysis in Python

4.8
Card cap

45 Minutes 1 Lesson1

Building a Customized Newsletter AI Agent

4.6
Card cap

2 Hours4 Lessons 4

Agentic AI Design Patterns

4.5
Card cap

30 Minutes 1 Lesson1

Build a QA RAG system with Langchain

5
Card cap

1 Hour1 Lesson1

Improving Real World RAG Systems :Key Challenges

4.8
Card cap

34 Hours1 Lesson1

Building Your First Computer Vision Model

4.8
Card cap

1 Hour 10 Minutes 1 Lesson1

MidJourney: From Inspiration to Implementation

4.6
Card cap

1 Hour 10 Minutes 2 Lessons 2

Building Text Classification Models in NLP

4.8
Card cap

38 Minutes 1 Lesson1

Nano Course Cutting Edge LLM Tricks

4.6
Card cap

19 Minutes 1 Lesson1

Introduction to Data Visualization

4.9
Card cap

1 Hour5 Lessons 5

Introduction to Business Analytics

4.5
Card cap

31 Minutes 4 Lessons 4

Introduction to PyTorch for Deep Learning

5
Card cap

30 Minutes 4 Lessons 4

Time Series Forecasting using Python

4.7
Card cap

2 Hours3 Lessons 3

Build Your 2025 Winning Data Science Resume with AI

4.5
Card cap

2 Hours2 Lessons 2

Essential : SQL Skills for Data Beginners

Card cap

2 Hours3 Lessons 3

A comprehensive Learning path to become a Data Analyst

4.6
Card cap

1 Hour1 Lesson1

Mastering Multilingual GenAI Open-Weight for Indic Language

4.6
Card cap

2 Hours5 Lessons 5

A Comprehensive Learning Path to Become a Data Scientist in 2025

4.8
Card cap

1 Hour1 Lesson1

Introduction to Cloud

4.7
Card cap

30 Minutes 5 Lessons 5

Dimensionality Reduction for Machine Learning

4.9
Card cap

30 Minutes 1 Lesson1

Getting Started with Decision Trees

4.6
Card cap

30 Minutes 1 Lesson1

Twitter Sentiment Analysis (Using Python)

4.8
Card cap

30 Minutes 1 Lesson1

Big Mart Sales Prediction Using R

4.6
Card cap

30 Minutes 1 Lesson1

Loan Prediction Practice Problem (Using Python)

4.8

Contact Us Today

Take the first step towards a future of innovation & excellence with Analytics Vidhya

Unlock Your AI & ML Potential

Get Expert Guidance

Need Support? We’ve Got Your Back Anytime!

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.

Show details