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
Professional Certificate Course in Generative AI and Machine Learning

Cohort Starts: 15 Apr, 2025

11 months$2,500

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NLP Courses Advisors

  • Madhusudhanan Baskaran

    Madhusudhanan Baskaran

    Principal Consultant, IIT Madras Pravartak

    Dr. Baskaran, with 31 years of experience in AI/ML and a Ph.D. in AI, is a Principal Consultant at IIT-M Pravartak, has expertise spanning Deep Learning, NLP, IoT, and Generative AI, and noted contributions in multimodal AI systems, drone data analytics, and AI-driven healthcare solutions.

      LinkedIn
  • Nicholas Beaudoin

    Nicholas Beaudoin

    Caltech CTME, Director of Strategic Partnerships

    Mr. Beaudoin is the Director of AI Programs at Caltech’s CTME where he works with strategic AI partnerships and also advises and teaches many of the CTME AI/ML related offerings.

      LinkedIn
  • Rick Hefner

    Rick Hefner

    Caltech CTME, Executive Director

    Dr. Rick Hefner serves as the Executive 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
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NLP Courses Learner's Reviews

  • Radhakrishna Mothukuri

    Radhakrishna Mothukuri

    CTO

    After working as a Client Technical Architect in Dubai for over 13.5 years, I wanted a career switch and looked for new opportunities in the United States. The course with Simplilearn helped me make a paradigm shift. Taught by industry experts, their real-life examples made learning impactful and led to a 50% salary hike.

  • Shekhar Lele

    Shekhar Lele

    Business Innovation Lead

    The blockchain 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.

  • Aswin Thotapalli

    Aswin Thotapalli

    Director Of Technology

    My blockchain course ended in July 2022, and I have already started applying the skills I learned from the course to my business. While I was taking the course, I was able to solve a significant problem for a client. The instructors are industry experts and not just teachers. Overall had a great experience.

  • Kanchan Khatri

    Kanchan Khatri

    Blockchain Developer

    Simplilearn’s course was a path breaker for me. It gave me a lot of guidance and vision to build my career in this niche. I could grab a job as Blockchain Developer at Idea Usher. After completing this course, I became a blockchain enthusiast and started my own Instagram page as a web3 influencer.

  • Logesh Muruganandham

    Logesh Muruganandham

    Engineer

    This certification in blockchain helped me to get updated with the technology trends. The course has been beneficial in improving my portfolio. The instructors are knowledgeable and quickly gel up with the participants.

  • Kunal Khatri

    Kunal Khatri

    The live classes were at par with the self-learning videos, and we learned how to code smart contracts and many other things. I liked the live classes' one-to-one interaction with the teacher and doubt-solving sessions.

  • Nikhil M

    Nikhil M

    Sales and New Business Development Manager

    The sessions were informative, concise and clear. Complex concepts like Blockchain were made simple to understand.

  • Gopinath Jambulingam

    Gopinath Jambulingam

    Chief Executive Officer

    My learning experience with Simplilearn was great. After the course completion, I created an immutable supply chain for my clients, which helped streamline my business operations. I could get more clients, and my overall earnings increased by 80%.

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Know more about NLP

Natural Language Processing (NLP) is an essential branch of Artificial Intelligence (AI) that allows machines to comprehend, interpret, and respond to human language. NLP is transforming modern applications, from powering virtual assistants such as Siri and Alexa to improving search engine algorithms. With the growing adoption of AI-enabled solutions by companies, stepping into NLP can truly be a skill worth mastering if you plan to become an AI expert.

What is NLP (Natural Language Processing)?

Natural Language Processing (NLP) is a field of AI that deals with how computers can read and process large amounts of natural language data. This bridges the need for human communication and machine understanding through the amalgamation of computational linguistics, deep learning, and statistical models.

How NLP Works

NLP makes use of methods like tokenization, sentiment analysis, named entity recognition (NER), and machine translation for working with text and speech. These innovations enable applications such as chatbots, translation tools, and content summarization platforms to function in an efficient manner.

Natural Language Processing (NLP) in AI & Machine Learning

NLP is a key component of AI-based solutions as it facilitates interaction between humans and computers, automating processes and supporting decision-making with data-driven insights.

Why Learn NLP?

As AI applications grow, demand for NLP experts in finance, healthcare, e-commerce, customer service, and more is skyrocketing.

NLP in Automation And Business Intelligence

NLP Solutions Businesses are changing their ways, thanks to NLP chatbots, recommendation engines, and automated customer support solutions.

High-Paying Job Opportunities

Salaries are particularly high for healthcare roles, data scientists, and NLP specialists as demand for specialized expertise increases.

Emerging Fields Intersected with NLP

Combining deep learning with linguistic and big data, NLP is a must-have skill for Data Scientists and AI researchers.

Types of NLP Courses

Beginner-Level Courses

  • Principles of NLP machine learning
  • Get started with NLTK, spaCy and Python for NLP

NLP Courses with Certifications

  • Coursera, Udacity, edX, Simplilearn Platforms:
  • NLP certification programs through universities
  • Google, Microsoft, AWS certifications

Advanced NLP Courses

  • RNNs, LSTMs, Transformers and other deep learning techniques for NLP
  • Advanced Natural Language Processing with Python and Tensorflow
  • Courses dedicated to topics such as speech recognition, sentiment analysis and chatbot development
  • Introduction to Large Language Models (LLMs) and Generative AI applications

How to Select an Ideal NLP Course?

  • Career Objective: AI Engineer, Data Scientist, Computational Linguist
  • Assess course credibility and industry relevance
  • Try searching for hands-on projects and real-world applications
  • NLP Certification vs Full-Degree Programs
  • Look for career support and job placement assistance

Trends in NLP and AI

  • LLMs like GPT and BERT are on the Rise
  • This will give you more clarity about the growth of conversational AI and the future of chatbots.
  • Growing adoption of NLP in voice assistance and speech recognition
  • Use of NLP in Healthcare, Finance and Cybersecurity
  • Advances in real-time language translation and global stuffing

Careers You Can Pursue After an NLP Course

Finance, E-commerce, Healthcare, Social Media are some of the industries recruiting NLP professionals. Popular job roles include:

NLP Engineer

  • AI Research Scientist
  • Computational Linguist
  • NLP Engineer – Machine Learning
  • Chatbot Developer

Data on Salary and Career Development in NLP

  • Entry level NLP salaries $70k-$100k.
  • Mid-career and senior-level salary figures vary by area of specialization and experience
  • Compare the salary for trending NLP certifications and degrees
  • NLP Salaries: Varieties in Demand and Skills to Boost Geographic Diversity
  • NLP Professionals Work for Various Companies

Some top companies hiring NLP experts are:

  • Tech Giants – Google, Microsoft, OpenAI, Amazon, Meta
  • AI Research Labs – DeepMind, HuggingFace, OpenAI
  • Finance & Healthcare – JPMorgan, Goldman Sachs, UnitedHealth Group
  • Social Media & E-commerce — Twitter, TikTok, Netflix, eBay, Shopify

Conclusion

As AI gets adopted more widely, NLP is one of the essential skills needed for the AI professional. The correct NLP course will help you access high-paying jobs, contribute to advanced research in AI, and help you build a career that will stand the test of time in data science and AI. Nevertheless, if you are excited about entering the lucrative world of AI-based language technology, now is an excellent time to brush up on NLP and propel yourself into this field of the future!

FAQs On NLP Certification Courses

  • What is Natural Language Processing in 2025?

    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.

  • What is the Future of NLP in 2025?

    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:

    BASIS OF DIFFERENCE

    SYNTAX ANALYSIS

    SEMANTIC ANALYSIS

    ANALYZATION METHOD

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

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

    AREAS OF CONCERN

    It focuses on the relation between words in a sentence.

    It concentrates on the overall meaning of the text.

    WORKING

    It can narrow down a problem to corner cases.

    It can further solve that problem.

    OUTPUT QUALITY

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

    It offers much better results for complex-use problems.

    TECHNIQUES USED

    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 2025?

    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 2025:

    • 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.

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