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You may be missing out on a 66.5% salary hike*

Nick Camilleri

Head of Career Skills Development & Coaching
*Based on past data of successful IK students
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FREE course on 'Sorting Algorithms' by Omkar Deshpande (Stanford PhD, Head of Curriculum, IK)

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Advanced Natural Language Processing Course

Designed by FAANG+ AI/ML Engineers to help you transform your career

  • Dive deep into cutting-edge NLP techniques and technologies
  • Gain skills to tackle complex language processing challenges of today
  • Get hands-on experience on end-to-end NLP projects
Front-end Engineers!
Get interview-ready with lessons from FAANG+ engineers
Master core Front-end interview concepts
Sharpen your coding and system design interview skills
Front End Developer
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500+

Instructors, Coaches & Interviewers from Top Companies

20,000+

Students

66.5%

Avg. salary hike for alums who upleveled

Tools you’ll learn

Who Is the NLP Course For?

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Data Scientists and Machine Learning Engineers
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AI/ML professionals already working in ML model-building roles

Prerequisites

Comprehensive Curriculum
Proficiency in Python
Rigorous Mock Interviews
Basic knowledge of Probability, Statistics, Linear Algebra, and Calculus
Plenty of 1 x 1 Help
Solid understanding of Classical Machine Learning

Curriculum Modules in the Advanced NLP Course

Overview of Deep Learning
1

Deep Learning & its applications

2

Deep Learning vs Neural Networks

3

Activation Functions

4

Loss Functions

Deep Learning Data Structures
1

Basic Tensor operations

2

NN model training using Pytorch

3

Notebooks on Keras

Feedforward Neural Network
1

FNN architecture

2

Applications & Limitations

Recurrent Neural Network
1

Backpropagation through time (BPTT)

2

Vanishing & Exploding Gradients

3

LSTM & GRU

Text Processing Basics
1

Text Cleaning & Normalization

2

Tokenization

3

Stemming/Lemmatization

4

POS tagging

5

Text Parsing & EDA

6

Text Representation (Bag of Words, TF-IDF)

Word Embeddings
1

Doc2Vec

2

Glove

Seq2Seq Modelling
1

Sentiment Analysis application

2

Deep LeSeq2Seq: Enoder-Decoder Architecturearning vs Neural Networks

Image Captioning
1

Architecture

2

Model training

Transformers
1

Transformers Architecture

2

Self Attention

3

Multi-head Attention

BERT
1

BERT Architecture

2

RoBERTa

3

AlBERT

4

ELECTRA

5

Fine Tuning BERTs

Bonus Content: Generative AI - Diffusion Models Overview
Capstone Project: Advanced Spoiler Shield with Natural Language Processing

Leverage deep learning and use advanced NLP techniques to accurately identify spoilers in movie and TV show reviews, enhancing user experience on platforms like IMDb.

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Why choose this course?

Comprehensive Curriculum

Market-focused NLP Course

Skills, case studies, and projects that provide exposure to AI/ML applications across industries, giving you a competitive edge in the job market
Rigorous Mock Interviews

Flexible Program by FAANG+ NLP Experts

25+ hours of premium video content featuring cutting-edge insights from FAANG+ engineers, offering direct access to industry best practices and emerging trends
Plenty of 1 x 1 Help

Capstone Projects for Hands-on Experience

Complete focus on real-world applications, ensuring you gain practical, job-ready skills in Natural Language Processing
Career Skills Development

Industry-relevant Concepts and Tools

Learn to apply Neural Architectures, Transformer Architectures, and BERT models, and tools such as Colab, TensorFlow, PyTorch, and Hugging Face
Salary Negotiation

Comprehensive Curriculum 

End-to-end coverage of Natural Language Processing designed to cater to everyone from beginners in ML/DS to advanced practitioners
Salary Negotiation

Comprehensive Coaching and Support

Weekly technical coaching sessions with industry veterans, plus 24x7 access to Teaching Assistants, ensuring prompt doubt resolution and continuous learning support

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  + Instructors to Train You in Live Classes

Shruti Goli

Senior Product Manager, Incode

Ahsan Ali

Applied Scientist

Randy Cogill

Senior Research Scientist

Jay Pillai

Engineering Leader - GenAI
FAANG+ Leader

The IK Experience: What Our Alumni Are Saying

Our engineers land high-paying and rewarding offers from the biggest tech companies, including Facebook, Google, Microsoft, Apple, Amazon, Tesla, and Netflix.

Mike Kane

Lead Data Engineer
Placed at :

For many working professionals, going through examples and different perspectives are very valuable…. Interview Kickstart was great because its structure helped me understand each problem in my interview. The high sense of comradery in Discord was also great! I had a study group with other people in my cohort and felt the engagement was much stronger than in an academic setting.

Davide Testuggine

Software Engineer
Placed at :

What turned me to Soham’s course is the way he talked about the course as not a substitute for hard work, not a “cheat sheet” of questions but a way to actually get good at algorithms, through a lot of perspiration. The course is very intense…practice, practice, practice. And it works!.... All that practice had a long-lasting effect on my ability as a software engineer. I am simply faster at coding than I ever was…. I can keep focused on the idea if the implementation takes a few minutes as I don't get lost on implementation details anymore, so the productivity increase I experienced is greater than just the delta in time for the implementation itself.

Mike Kane

Lead Data Engineer
Placed at :

For many working professionals, going through examples and different perspectives are very valuable…. Interview Kickstart was great because its structure helped me understand each problem in my interview. The high sense of comradery in Discord was also great! I had a study group with other people in my cohort and felt the engagement was much stronger than in an academic setting.

Davide Testuggine

Software Engineer
Placed at :

What turned me to Soham’s course is the way he talked about the course as not a substitute for hard work, not a “cheat sheet” of questions but a way to actually get good at algorithms, through a lot of perspiration. The course is very intense…practice, practice, practice. And it works!.... All that practice had a long-lasting effect on my ability as a software engineer. I am simply faster at coding than I ever was…. I can keep focused on the idea if the implementation takes a few minutes as I don't get lost on implementation details anymore, so the productivity increase I experienced is greater than just the delta in time for the implementation itself.

How to Enroll for Interview Kickstart’s Advanced NLP Course 

Learn more about Interview Kickstart and the Advanced NLP Course by joining the free pre-enrollment webinar.

Register for webinar
It's Free

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FAQs

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How do I enroll in the program?
2
Is the Advanced Natural Language Processing Course self-paced or live?
3
How much time would I need to put in each week for this NLP program?
4
What are the prerequisites for this Advanced Natural Language Processing Course?
5
Will I have access to the modules in Advanced Natural Language Processing after I complete the program?
6
Why is learning NLP important for ML Engineers and Data Scientists?
7
Is NLP difficult to learn?
8
Why should I take Interview Kickstart’s Advanced Natural Language Processing Course?
9
What kind of projects or real-world applications are part of the course?
10
Will the Advanced Natural Language Processing Program help my career?
11
How is NLP related to Generative AI?
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