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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Archana Kalwani 4
Mar 10th, 25
Business Operations Manager at Concentrix
Great experience with six sigma green belt
I have completed my six sigma green belt training. The admin staff, support team and the trainer were very helpful and flexible. The trainer was very good and helped understand the concepts well. Thank you for all the support.Hamzah Kchour 5
Jul 11th, 25
System Engineer
I cannot express how great the instructor was and the overall content of the material. The way he taught was very clear in his method of teaching and provided a wealth of information about the CompTIA Network+. All my questions were answered and the class interaction was very good.
Nicole Gentz 5
Aug 5th, 25
Development Team Manager at Stoneridge Software
Tarun was honestly the best trainer/coach that I've had in 20 years in the IT profession. He covered the EA/TOGAF material and had real life examples to make everything completely understandable. He listened to my professional concerns and questions and offered advice/suggestions from his years of experience. He genuinely cared about my understanding and was truly a mentor in so many areas related to EA and beyond enterprise architecture. His willingness to share his experiences and his passion to help others grow was very evident and so appreciated. Thank you so very much for the awesome week!
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.
Judy Denny 5
Aug 14th, 25
Manager of Facilities Services Operations at University of Hartford Facilities Department
The support staff from Sprintzeal,Steve Jones, were very supportive in making this decision to take the PMP certification course. The course was very affordable and I was given an additional incentive to take another course which would supplement my knowledge which was the Agile course.
I was thinking about studying on my own for the exam but decided to sign up for the course on Sprintzeal to ensure that the material that I needed to study was accurate and efficient. I didn't want to waste anytime on taking the exam multiple times to pass due to being ill-prepared. The instructor Biswa, was great in covering what to know for the exam and I feel that the material he provided will prepare me to pass the exam my first time with confidence. Thank you for this opportunity and I look forward to taking more certification courses through Sprintzeal.
Linda Parrish 5
Jun 19th, 25
Energy Contracts Administrator
Awesome CBAP Test Prep Course with Excellent Customer Service. In March 2019, select staff from two of our departments partnered up to undertake the CBAP Test Prep course offered by Sprintzeal. I learned the BABOK was difficult to comprehend until our trainer, Delilah Allison, explained the book's layout and the meaning behind each section. Her teachings enable me to grasp the Business Analysis concept (even though most of my tasks were in a project management world). Our Account Manager, Alex Wood, provided excellent customer service going above the call of duty to ensure our satisfaction. We did encounter some hiccups along the way which were either resolved or addressed in an expedited manner. Also, the price per person was reasonable compared to what was offered and what other companies offered. My overall experience with Sprintzeal is a positive one. I would definitely recommend the class. Source - Trustpilot
Tony, USA 5
Apr 29th, 25
Network Eng.
Highly Recommend CISSP Bootcamp With Tom
I have no complaints. The training was well paced, the materials seem to be spot on, and the trainer, Mr. Tom Scott, was an excellent trainer. I think I'm ready for the exam. Let's go!
Hakima EL-GAMAH 5
Apr 10th, 25
Senior Business Analyst
I participated to Lean Six Sigma Black Belt Training with Sprintzeal. The instructor, Swati Kondappali, is very knowledgeable and has a lot of experiences to share. The presentqtion is well structure and Swati took always the time to explain the techniques and tools with exemples through the full course. Thank you!
Ashhab Anwar 5
Jan 24th, 25
Cloud Infrastructure Engineer
It was a good experience. I have been working on ITIL report from past 2 years however never in-debt knowledge about it. These sessions helped a lot in understanding about change management, incident, service and release management. Overall experience was good.
Robert Warnock 5
Jan 10th, 25
Senior IT Project Manager
Pleased with the course for the AWS Solution Architect - Associate Level. Having taken many trainings the overall experience was good. This is a great way to upskill and learn new concepts and have a better understanding on the best approach to 1)prepare for the exam 2)be pointed to great resources to help develop your path. Jack from the sales team was very helpful about the courses. Kishore the trainer is very well informed and talked through all questions. I would suggest this course for future prospects.
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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