Natural Language Processing Course by SimpliLearn - Course Review

As we navigate through the waves of the digital era, the understanding and application of Natural Language Processing (NLP) has become increasingly relevant. To meet this need, SimpliLearn has offered a course focused on NLP. This review aims to shed light on the main features of the course, along with the pros and cons, to help prospective learners make an informed decision.

Course Overview

SimpliLearn’s Natural Language Processing course offers a well-structured syllabus designed to help learners understand the principles of NLP and its implementation. The course is targeted at both beginners and mid-level professionals who are keen to enhance their skills and understanding of NLP.

Natural Language Processing Course by SimpliLearn - Course Review

Key Features

Without any specific order, let’s delve into the key features of the course:

1. Comprehensive Curriculum.

The course covers a broad spectrum of NLP topics, including text preprocessing, text classification, sentiment analysis, and machine translation among others.

2. Industry-led Projects.

The course comes with several real-world projects that provide hands-on experience, an important aspect for learners aiming to apply their knowledge in a practical setting.

3. Expert Instructors.

The course is led by industry professionals with substantial experience in the field of NLP. Their teaching methodology bridges the gap between theoretical knowledge and practical applications.

4. Online and Flexible.

Being an online course, learners can access the course materials at any time and progress at their own pace, making it convenient for working professionals.

5. Certification.

Upon completion, learners receive a certificate, which can be a valuable addition to their professional portfolio.

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What do we like about this course?


  1. Flexibility: The flexibility offered by SimpliLearn’s online format allows learners to manage their own learning pace, which is a major advantage for working professionals.

  2. Practical Experience: The real-world projects provide learners with a practical understanding of the concepts, which is critical in the current job market.

  3. Knowledgeable Instructors: The expertise of the instructors enhances the learning experience, enabling learners to gain in-depth knowledge and get answers to their queries.


  1. Cost: Compared to some other courses available online, the cost of this course might be slightly on the higher side.

  2. Prior Knowledge Required: The course requires learners to have a basic understanding of Python and machine learning. This might pose a challenge for absolute beginners.

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Frequently Asked Questions

Natural Language Processing Course by SimpliLearn - Course Review

1. What exactly is Natural Language Processing (NLP)?

Natural Language Processing (NLP), often associated with text analytics or text mining, is a branch of artificial intelligence that applies analytical tools to decipher meaningful conclusions from vast collections of natural language data. It’s the driving force behind the creation of chatbots and virtual assistants that serve millions of user inquiries daily. In essence, NLP is instrumental in enhancing the interactions between humans and computers, acting as a bridge between human communication and digital data interpretation.

2. How can I establish myself as an NLP Engineer?

Our course is designed to offer a comprehensive understanding of Natural Language Processing, equipping you with the knowledge and skills required to embark on a promising career as an NLP Engineer. Upon completion, you will be awarded Simplilearn’s NLP certification, which serves as proof of your acquired expertise and readiness for professional challenges in the NLP field.

3. How can a beginner start learning Natural Language Processing?

Our NLP certification course is an ideal starting point for beginners interested in learning Natural Language Processing. The course delves into vital NLP concepts such as statistical machine translation, deep semantic similarity models (DSSM), neural knowledge base embedding, deep reinforcement learning techniques, and the application of neural models in areas like image captioning and visual question answering. These topics are taught using Python’s Natural Language Toolkit, providing beginners with a comprehensive understanding of NLP.

4. Who are the course instructors and what is the selection process?

All of our NLP trainers are seasoned industry professionals with vast expertise in the field. They undergo a stringent selection process, which includes profile screening, a technical evaluation, and a training demonstration before they are accredited to teach for us. At Simplilearn, we also ensure that only trainers who consistently receive high ratings from alumni are selected as our faculty members.

5. Could you explain the nature of online classroom training?

The online classroom training for our NLP certification course is delivered through live streaming. These sessions are conducted by a certified NLP trainer with over 15 years of professional and training experience, guaranteeing you a comprehensive learning journey in NLP.

6. Is this a live training course, or will I have to watch pre-recorded videos?

Our NLP course is conducted through live streaming rather than pre-recorded videos. These are interactive sessions where you can pose questions and engage in discussions in real-time. However, we do provide recorded versions of each session you attend for your future reference and further study. The classes attract a global audience, offering you a rich learning experience through diverse perspectives.

In conclusion, SimpliLearn’s Natural Language Processing course is a comprehensive program that provides a solid foundation in NLP. The practical projects and experienced instructors are its strongest points. However, the cost and the prerequisite knowledge might be a deterrent for some. Overall, for those willing to invest in learning and have a basic background in Python and machine learning, this course can be a valuable resource to step into or advance in the world of NLP.