About Certified Natural Language Processing Expert (CNLPE) AI3070
The CNLPE course is designed for professional individuals interested in advancing their career by developing expertise in developing language-centric AI systems beyond the basics of Machine Learning. This certification, granted by IABAC, is designed to help you develop an understanding of how text and speech data are utilized to create intelligent systems through processing, modeling, and transforming. NLP projects power chatbots, search engines, recommendation systems, document automation, voice assistants, and sentiment analysis platforms. This natural language processing expert training prepares you to work with these systems by teaching both conceptual depth and applied understanding. Sprintzeal’s natural language processing expert course, aligned with IABAC standards, helps you understand how modern NLP pipelines work—from raw text to production-ready models—while addressing ethical risks, bias, and real-world deployment challenges. This certification transforms NLP from experimentation into an enterprise-ready capability.
Certified Natural Language Processing Expert (CNLPE) AI3070 Key Features
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Course Agenda
Company Brochure
The Certified Natural Language Processing Expertise (CNLPLE) program, supported by IABAC and designed to teach students how computers process, understand, and generate language in a human-like way using a large volume of text and voice data, while emphasizing the role of NLP in developing automation (i.e., automating tasks through machine learning), learning and support for conducting personalized conversations with customers.
Participants will learn about modern NLP methodologies for processing text and speech data through modern techniques, including collecting and cleaning data and using tokenization techniques, machine learning, and deploying these models in practical applications. Participants will be exposed to both traditional NLP approaches and modern methodologies for developing language models via deep learning frameworks.
Participants will also acquire the skills necessary to evaluate the performance of their models and identify potential biases or discrimination within their training data before deploying their NLP models. Additionally, effective communication skills for both technical and non-technical audiences concerning project outcomes associated with an NLP model's deployment will be developed by participants.
Participants will leave the program confident in their ability to lead or collaborate on advanced NLP initiatives.
The purpose of this course is to help those interested in applying artificial intelligence to their business or profession. This course will provide the fundamentals necessary to understand how language-based AI systems function practically, instead of learning the theory only.
Through this course, learners will acquire knowledge on developing custom Text and Speech Recognition Applications, making Embeddings and Language Representations from the machine learning process, and training, validating and deploying Natural Language Processing Systems (NLP).
In addition, they will evaluate some of the issues related to Language Systems such as (but not limited to) ambiguity, bias, multilingual data and ethical issues. Upon conclusion of the course, all learners will gain an expansive understanding of the function of NLP in modern AI (artificial intelligence) Systems.
Natural Language Processing Expert Training Course Objectives
This natural language processing expert certification is built around six advanced learning outcomes:
- Master Core NLP Concepts
Understand how machines represent, process, and generate human language. - Apply NLP Techniques in Practice
Learn how text classification, sentiment analysis, named entity recognition, and language modeling work in real systems. - Understand Deep Learning for NLP
Explore modern NLP architectures and transformer-based language models at a conceptual and applied level. - Manage NLP Data and Bias
Recognize challenges in language data, including bias, noise, and ethical risks. - Evaluate and Improve NLP Systems
Learn how to assess NLP model performance and reliability. - Prepare for Advanced AI Roles
Build specialization for senior NLP, AI, and machine learning positions.
After completing the Certified Natural Language Processing Expert (CNLPE) certification, you will be able to:
- Explain advanced NLP concepts clearly and confidently
- Design and evaluate NLP pipelines and workflows
- Apply NLP techniques to real-world text and speech problems
- Identify and mitigate ethical risks in language-based AI
- Communicate NLP insights to technical and non-technical stakeholders
- Contribute to or lead advanced NLP-driven AI projects
Organizations increasingly rely on NLP to automate communication, extract insights from text, and enhance user experiences. Professionals with a natural language processing expert certification are in strong demand across industries.
This certification prepares you for roles such as:
- Natural Language Processing Engineer
- AI / Machine Learning Specialist (NLP Focus)
- Conversational AI Developer
- Text Analytics and Insight Specialist
- AI Solutions Architect (Language Systems)
- Advanced Data Scientist (NLP Domain)
This certification enhances specialization without replacing broader AI expertise.
Exam Pattern and Structure
- Exam Name: Certified Natural Language Processing Expert (CNLPE)
- Exam Code: AI3070
- Format: Scenario-Based and Objective Assessment
- Duration: As defined by IABAC standards
- Exam Mode: Online, Proctored
- Evaluation Criteria: Conceptual understanding, applied reasoning, ethical awareness
- Results: Issued within 10–15 working days
Complete Course Syllabus Breakdown
- Part 1: Introduction to Natural Language Processing
- Part 2: Text Processing and Linguistic Foundations
- Part 3: NLP Techniques and Feature Engineering
- Part 4: Machine Learning and Deep Learning for NLP
- Part 5: Language Models and Modern NLP Architectures
- Part 6: NLP Use Cases Across Industries
- Part 7: Bias, Ethics, and Responsible NLP
- Part 8: Future Trends in Natural Language Processing
Certification Validity and Renewal
The CNLP certification is good for three years. IABAC wants you to continually learn and keep up with the advances and changes in NLP. Additionally, your digital credential can be used across all professional/social media sites and is globally verifiable.
Prerequisites for Enrollment
- Prior exposure to AI or machine learning recommended
- Suitable for professionals seeking NLP specialization
- Ideal for AI practitioners, data scientists, and ML engineers
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Participant Reviews
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Murali Thimmegowda 5
Jun 2nd, 25
Senior Consultant at Capgemini
PSM 1 training by Sprintzeal was excellent. The trainer was very good and provided excellent training in a simple manner with lots of workshops, practices, and scenarios. I recommend Sprintzeal for PSM /CSM training.
David Smith 4
May 14th, 25
Telecommunications Administrator
Paul did a great job explaining AWS in great detail. He was informative in recommending test strategies. The only thing I would request is that the course documentation be updated a bit. Paul informed us that the lag time between class and test is significant, but it would be nice if we can improve this area.
Lindsay Farrell 5
May 10th, 25
Lead Campaign Manager at Salesforce Marketing Cloud
Clear and informative course to prepare for the PMP exam. The content was laid out well, and you could tell the instructor, Biswa, had plenty of experience teaching the course. The additional material provided was also very helpful.
Ohiorenua Ahanmisi 5
Mar 4th, 25
Water/Wastewater Process Design Specialist
It was a really insightful and resourceful training session on the lean six sigma green belt. The trainer swati was very knowledgeable on the lean six sigma concept and was able to transfer the knowledge across effectively. I would recommend sprintzeal to my colleagues and friends.
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Edward Lee 5
Mar 21st, 25
Senior Manager
Lean Six Sigma Black Belt
Informative and practical approach of training session. Emphasizing more on the relevant tools that can be use depending on the project that you are working on.
Robert Porto 5
Jul 9th, 25
Software Engineer
I have had a great experience with my AWS training with Sprintzeal. Originally the trainer I had my first training batch with, was a bit difficult for me to understand. She was honestly very knowledgeable but I couldn't grasp the concepts with her style. I reached out to Jason Caldwell/Leonard Paul about my early learning experience. I was incredibly pleased that I was moved to another trainers training batch. My new trainer (Paul Oyola) was easy for me to understand at a pace that was better fit for me. Paul was not only friendly from day 1 but remained that way throughout all of the classes. He was incredibly patient, knowledgeable, and efficient. If Paul didn't have an answer to a question one of the students asked, Paul would search for an answer and provide us with more information. I haven't taken the AWS exam yet, but I am confident I will pass and look forward to letting Paul know. I am so happy that I chose Sprintzeal for my AWS training. I am also pleased with the patience and customer service I received from the time Leonard Paul reached out to me to the time Jason Caldwell and Alex Wood assisted me as needed. Great experience all the way around!
Kevin Henderson 5
Jul 7th, 25
U.S. Army Command Sergeant Major
Overall an excellent training opportunity. Dani is not only well versed in teaching from the PMBOK but more importantly, he has real-world experience which aided my understanding of the presented material. As a newcomer in project management, Dani was able to communicate in a manner in which I could easily understand the subject matter without diminishing the rest of the students learning opportunities. The only area that I asses that needs adjustment is that the slide used to conduct the class are not available for student download. It would be helpful if the course material was made available in order to better prepare for the exam.
Elaine Park 5
Jan 16th, 25
Senior Manager
The course content is comprehensive and invaluable! I gained key understandings that I wouldn't have gained studying on my own. The instructor is extremely knowledgeable in PMI and PMP, with expert experience in project management. They made hard concepts easy to access through simplified visuals and ample resources! I am confident that this course has prepared me well to succeed and pass the PMP test. I highly recommend this course.
Smitha Harish 5
Mar 27th, 25
Senior Business Analyst
Had a very good experience with the online CISSP class. Munavwar Sheikh, the instructor, explained each domain very well. He was very patient in answering our questions with pictorial examples. and his work experience. A great experience indeed and I recommend Munavvar for security related training courses.
Ralph Scheunemann 4
Jul 19th, 25
Sr. Infrastructure Planning Engineer at City of Barrie
The training was direct to the point. The resource material is excellent.
Yes—advanced NLP concepts for pros building or using language AI.
It tests practical NLP skills, decisions, and ethics, beyond theory.
Yes, works across any platform or tool.
Frequently Asked Questions
Expert instructors and real-world focus for job-ready skills.
Yes—flexible pacing for professionals.
Pass IABAC exam after training for your global digital CNLPE credential.
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