Our NLP Courses Duration and Fees

NLP certifications typically range from a few weeks to several months, with fees varying based on program and institution.

Program NameDurationFees
AI & Machine Learning Bootcamp

Cohort Starts: 9 Oct, 2023

6 Months$ 9,999
AI for Decision Making: Business Strategies and Applications

Cohort Starts: 10 Oct, 2023

3 Months$ 3,000
Caltech Coding Bootcamp

Cohort Starts: 16 Oct, 2023

6 Months$ 8,000
Post Graduate Program in AI and Machine Learning

Cohort Starts: 25 Oct, 2023

11 Months$ 4,500

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NLP Courses Advisors

  • Dave Todaro

    Dave Todaro

    Professor, Caltech CTME

    Dave Todaro is a software visionary, entrepreneur, and agile project management expert. Dave has taught agile software development techniques to thousands of people worldwide and regularly advises companies on a wide range of product strategy and software engineering topics.

    Twitter  LinkedIn
  • Rick Hefner

    Rick Hefner

    Caltech CTME, Program Director

    Dr. Rick Hefner serves as the Program Director for Caltech’s CTME, where he develops customized training programs for technology-driven organizations. He has over 40 years of experience in systems development and has served in academic, industrial, and research positions. 

    Twitter  LinkedIn
  • Venkata N Inukollu

    Venkata N Inukollu

    Assistant Professor, Purdue University

    Venkata N Inukollu earned his Ph.D. in Computer Science from Texas Tech University. He received his Master’s degree in Software Systems from BITS - Pilani, India. He has interests in software engineering and testing in AI and machine learning.

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NLP Courses Learner's Reviews

  • Alison Rezabek

    Alison Rezabek

    Senior Client Lead

    The training allowed me to increase my knowledge and acquire new projects. I learned new facts about the subject and broadened my expertise by receiving more information throughout the training, which helped me become more productive at work and improve my work performance.

  • Eduardo Marquis

    Eduardo Marquis

    Management Analyst

    This course has been instrumental in highlighting various use cases that would allow organizations to benefit by leveraging AI and ML to model their HR and Financial business processes.

  • Hans Friedhoff

    Hans Friedhoff

    Senior Manager, Digital Communications

    After completing the bootcamp, I transitioned to a Machine Learning Engineer within my organization. I was also able to obtain an 18% salary increase.

  • Fritz Canon

    Fritz Canon

    Project Manager Business Development

    My overall experience with Simplilearn was extremely positive and enriching. One aspect that stood out to me was the comprehensive curriculum offered by Simplilearn. The course content was well-structured and covered all the essential topics related to my chosen field of study.

  • Chris Hayes

    Chris Hayes

    Scrum Master

    I was able to keep up and comprehend all the courses presented and learned a bunch about programming in Python along the way. I'm looking forward to having the opportunity to work in the field and learning yet more!

  • Ting L.

    Ting L.

    Expense Report App Developer

    This AI program is not only easy to follow, but the materials are organized. Even a beginner like me was able to grasp the concept and practice with real-world projects. I have grown my portfolio quite a bit since I joined. Their affordable fees were also a big bonus for me.

  • Anthony Palomba

    Anthony Palomba

    Simplilearn’s course turned out to be the best decision of my life. I joined a marketing firm as a consultant and a permanent position at my university with a 35% salary increment. Moreover, I can execute my knowledge in my teaching and research.

  • Kiet Nguyen

    Kiet Nguyen

    After the completion of the course, I will be able to kickstart my career with the skills I am learning from this course. I am enjoying the hands-on experience with practice labs during the course. They are crucial for people like me with no experience. I found the instructors immensely knowledgeable and willing to help students.

  • Kiet Nguyen

    Kiet Nguyen

    After the completion of the course, I will be able to kickstart my career with the skills I am learning from this course. I am enjoying the hands-on experience with practice labs during the course. They are crucial for people like me with no experience. I found the instructors immensely knowledgeable and willing to help students.

  • Rogelio Lotho

    Rogelio Lotho

    Software Developer

    My experience with Simplilearn was great. The curriculum is excellent, and the video lessons are incredible. The curriculum and course content is very relevant to the industry currently. The instructors were also very knowledgeable and helpful.

  • Diego Sabajo

    Diego Sabajo


    My learning experience with Simplilearn was outstanding. The course material is very thoughtfully designed. The way of explaining was simple and easy to understand. The instructors were good; the support was really helpful. I recommend this course to others who want to start something in the AI domain.

  • Venkatesan Sundaram

    Venkatesan Sundaram

    I absolutely enjoyed my classes at Simplilearn. I learned a lot of new and interesting concepts. This course covered important AI topics including, image processing, deep learning, etc. The real life examples helped us understand the concepts better.

  • Shekhar Lele

    Shekhar Lele

    Business Innovation Lead

    The certification helped me with my career. After finishing the course, I was assigned new projects within my organization. My long-term career goal is to become a leader in the new age of tech for the upliftment of the needy. The course will really help me do it.

  • Filipe Theodoro

    Filipe Theodoro

    Machine Learning Engineer

    This course gave me the basic knowledge required to start building my own models, from organizing and selecting the data to run and testing the models. Also, the trainers were very clear when explaining and gave us lots of tips.

  • Filipe Theodoro

    Filipe Theodoro

    Machine Learning Engineer

    This course gave me the basic knowledge required to start building my own models, from organizing and selecting the data to run and testing the models. Also, the trainers were very clear when explaining and gave us lots of tips.


FAQs On NLP Certification Courses

  • What is Natural Language Processing in 2023?

    NLP is a subfield of AI and machine learning for reading, deciphering, and comprehending human speech. It is a technology allowing devices to imitate dialogue and understand messages in content and voice form. It operates computer software that transforms messages from one language to another, encapsulates them, and reacts to verbal orders in real time.

    If anyone has used a smartphone, they must have used NLP as a voice-operated GPS, virtual attendant, voice-to-text transcription tool, and chatbot. However, it has a significant part in company solutions by integrating processes, enhancing staff capacity, and streamlining strategic procedures.

    The most important NLP programs consist of the following:

    • Speed Perception

    • Part Of Language Tagging

    • Word Meaning Disambiguation

    • Named System Understanding

    • Sentiment Computation

    • Natural Speech Generation

    • Co-Reference Solution

  • Which NLP Course is Highly Prestigious?

    Also known as Neuro-Linguistic Programming, NLP is a mixture of instruments and ideas employed for teaching Business Analytics. The system was founded on the belief that a person can alter their opinions and actions to attain particular outcomes.

    The method is ideal for personal advancement, occupation advice, and relation teaching. Because of these reasons, it is hard for an individual to pick the most suitable NLP credential program. To help students decide easily, we have prepared a checklist of the leading six NLP lessons and diploma programs to study this year.

    • Simplilearn Nlp Courses

    • Microsoft: Study Natural Speech Process

    • Microsoft Nlp Certification: Azure Ai Fundamentals

    • Improved Credential Programme In Machine Learning And Nlp

    • Natural Language Processing With Deep Understanding

  • What are the top NLP courses to pursue?

  • Is NLP Course in High Demand?

    Natural Language Processing (NLP) is a component of architecture, speedily becoming a highly in-demand job in the technological field in recent times. With the advancing automation, the requirement for NLP architects is also rising, and their paychecks are. Whether healthcare, finance, or e-commerce, all industries require NLP creators to determine, resolve, and identify problems accurately.

    The rising requirement for NLP courses is mainly attributed to the increasing usage of speech-activated special attendants, chatbots, and other interfaces. Since businesses find it convenient to resolve consumer inquiries by incorporating such interfaces on the webpage, it has become an in-demand job option, which is anticipated to expand by $26.4 billion the following year.

  • Is there a Future in NLP in 2023?

    Although NLP is in high demand today, its future is unpredictable. But it is tough to deny that it will remain a constant element of our life since it allows machines and computers to comprehend our speech. Whether Alexa, Google, or Siri, people will require a permanent personal assistant to do small tasks.

    This technology already powers many of the everyday things we do. So, for those wondering whether to step into this field, it is the perfect time. The future of taking the best NLP courses is favorable, as people will need machines that can interpret their dialect and make interaction easier.

    Although its development has been relatively slow, it has climbed to success with massive strides in recent times.

  • Is NLP Developer a Well-paid Job?

    Those who are wondering how much they can make yearly by obtaining Natural Language Processing Certification, there is wonderful news waiting for them. The annual earnings of an NLP creator change depending on the firm's reputation, knowledge, position, mastery, and job location. Since they have several job options, go for the one that fits them perfectly.

    However, their average salary ranges between $1,16,708 to $7,36,609. If they work for a well-paying industry and have experience, their earning potential will be higher than the rest.

  • What are the Two Main Areas of NLP?

    The two main areas of the NLP course are Syntax and Semantic analysis. Here is a small table to help understand their differences in a better way:





    Only the syntax of a sentence is used to interpret the text.

    The overall context of a text is considered during the analysis.


    It focuses on the relation between words in a sentence.

    It concentrates on the overall meaning of the text.


    It can narrow down a problem to corner cases.

    It can further solve that problem.


    It gives good results for simple-use cases but not for complex-use.

    It offers much better results for complex-use problems.


    Sentence Splitting, Parsing, Word Distribution, Stemming, and Morphological Distribution

    Named Entity Awareness, Word Sense Disambiguation, and Natural Language Generation.

  • Is NLP the Fate of Artificial Intelligence?

    NLP is a subfield of Artificial Intelligence that facilitates systems to discern, interpret, and understand human speech. Because of the progress in AI chips, firms can develop more complicated NLP prototypes. NLP certification will favorably influence the contributions and acceptance pace of technology.

    Soon, informal AI devices might be brighter and easily acknowledge the implication of our languages, all because of the improvements in NLP models. It will let firms automate responding to consumer requests. Learning Business Strategies will help produce authentic content on any subject with the help of Artificial Intelligence.

  • What are the Leading Language Structures for NLP in 2023?

    Language structures help create NLP software. They use transmission learning approaches to carry out\ different NLP procedures on varied datasets. Since this technology is utilized across various industries, here are the leading language structures for NLP programs 2023:

    • Bert (Bidirectional Encoder Representations From Transformers)

    • Chat Gpt-3

    • Gpt-2 By Open Ai Training Course

    • Lamda (Language Models For Dialogue Applications) By Google

    • Palm (Pathways Language Model) By Google

    • Roberta (Robustly Optimized Bert)

    • Albert

    • Xlnet

    • T5 (Text-To-Text Transfer Transformer)

  • Which Language is Highly Suitable for NLP?

    Out of all the speech structures, Java and R are the most frequently used ones for NLP. However, the highly suitable language for NLP is Python, due to its vast data collection, straightforward syntax, translucent semantics, and capacity to accommodate other programming styles. For those planning to take NLP training, try Python, as it will also diminish their understanding curve.

    Python offers developers a broad collection of tools and data centers to manage NLP-related jobs, such as data distribution, subject modeling, part-of-speech (POS) identifying, word vectors, and sentiment study.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.