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Are you curious about how machines understand human language? Whether it’s voice-activated assistants like Siri, spam filters in your email, or smart chatbots that help you shop online—these are all powered by Natural Language Processing (NLP) systems.
If you’ve ever wanted to explore this fascinating area of artificial intelligence (AI) but don’t know where to start, Interview Kickstart’s NLP online course is designed just for you. This isn’t just theory — it’s practical, hands-on NLP training that will help you understand and apply advanced concepts to real business tasks. Read More
NLP is a branch of Artificial Intelligence that allows computers to interpret, generate, and respond to human language in a way that’s both easy to comprehend and useful. It powers voice recognition in virtual assistants, language translation apps, sentiment analysis tools, and much more.
In simple terms, NLP helps machines read, listen, and even “talk” back in the same way a human would. NLP experts are in demand for industries including tech, finance, healthcare, e-commerce, and many others.
Our NLP classes online take you through foundational concepts to advanced techniques used by innovative corporations such as Google, Amazon, and Meta.
This comprehensive NLP online course is built for software engineers, data scientists, and machine learning enthusiasts who want to develop their skills and knowledge of AI. Even if you’re new to NLP, our course begins with the basics before covering:
Each topic at Interview Kickstart is taught by experienced instructors who’ve worked at leading tech companies. Our NLP training is structured to include one-to-one coaching, lectures, live sessions, coding assignments, and mock interviews to prepare you for technical roles.
Join Interview Kickstart’s NLP course and take the first step toward mastering one of the most cutting-edge fields in tech. Read Less
Skills, case studies, and projects that provide exposure to AI/ML applications across industries, giving you a competitive edge in the job market
25+ hours of premium video content featuring cutting-edge insights from FAANG+ engineers, offering direct access to industry best practices and emerging trends
Complete focus on real-world applications, ensuring you gain practical, job-ready skills in Natural Language Processing
Learn to apply Neural Architectures, Transformer Architectures, and BERT models, and tools such as Colab, TensorFlow, PyTorch, and Hugging Face
End-to-end coverage of Natural Language Processing designed to cater to everyone from beginners in ML/DS to advanced practitioners
Weekly technical coaching sessions with industry veterans, plus 24x7 access to Teaching Assistants, ensuring prompt doubt resolution and continuous learning support
+ Instructors to Train You in Live Classes
Our engineers land high-paying and rewarding offers from the biggest tech companies, including Facebook, Google, Microsoft, Apple, Amazon, Tesla, and Netflix.
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Learn more about Interview Kickstart and the Advanced NLP Course by joining the free pre-enrollment webinar.
FAQs
How do I enroll in the program?
The best way to join the course is to first register for our pre-enrolment session here. You will learn all about the course, its cost, and other useful details.
Is the Advanced Natural Language Processing Course self-paced or live?
The Advanced Natural Language Processing Program comprises self-paced classes, i.e. recorded videos. There will be live sessions for assignments and Capstone Project evaluations.
How much time would I need to put in each week for this NLP program?
The learners can do the program at their own pace. A commitment of 8-10 hours per week is recommended. This includes time for watching the self-paced videos, completing hands-on assignments, and revisiting key concepts for practice and revision. You can complete the course, including all exercises and projects, in 6 to 8 weeks. Consistent effort will help you stay on track and absorb the material effectively, especially when working through advanced topics like BERT models, Seq2Seq architectures, and transformer-based models.
What are the prerequisites for this Advanced Natural Language Processing Course?
Will I have access to the modules in Advanced Natural Language Processing after I complete the program?
Why is learning NLP important for ML Engineers and Data Scientists?
Is NLP difficult to learn?
You will not find NLP difficult to learn if you are a Data Scientist or ML Engineer. You do, however, need to have knowledge/understanding of Python, Probability, Statistics, Linear Algebra, Calculus, and Classical Machine Learning to be able to excel in this technology.
Why should I take Interview Kickstart’s Advanced Natural Language Processing Course?
What kind of projects or real-world applications are part of the course?
Will the Advanced Natural Language Processing Program help my career?
How is NLP related to Generative AI?
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