The Certified Natural Language Processing Professional (CNLPP) program is a prestigious certification designed to recognize individuals with advanced knowledge and expertise in the field of natural language processing (NLP). NLP is a critical component of artificial intelligence and machine learning, enabling computers to understand, interpret, and generate human language. Professionals with CNLPP certification are acknowledged for their mastery in NLP techniques, language modeling, and the application of NLP across various industries.

The CNLPP program consists of several modules, each focusing on specific aspects of natural language processing. These modules provide participants with a comprehensive understanding of NLP concepts, text analysis, sentiment analysis, language modeling, and real-world application.

Certification Learning Objectives:

Upon completing the Certified Natural Language Processing Professional (CNLPP) program, participants will acquire a diverse skill set, including the ability to:

• NLP Fundamentals: Develop a deep understanding of NLP concepts, techniques, and the NLP pipeline.
• Text Analysis and Processing: Proficiently analyze and process text data, including tokenization, entity recognition, and part-of-speech tagging.
• Sentiment Analysis: Apply sentiment analysis techniques to gauge public opinion and sentiment from text data.
• Language Modeling: Build language models, including neural language models, to generate human-like text.

Certification Requirements:

• Bachelor’s Degree

And/or

• 2 – 5 years of relevant work experience

Certifying Examination:

• To be certified as CNLPP, student should take up a 1.5 hours online exam conducted by AIBM.
• The qualifying exam would consist of 50 multiple choice questions, testing core certification modules.
• Professionals with relevant experience and other qualifying criteria may be exempted from the examination.

Certification Modules:

1. NLP Fundamentals and Concepts
2. Text Analysis and Processing for Effective NLP
3. Sentiment Analysis Techniques
4. Language Modeling and Generation
5. Named Entity Recognition and Entity Linking
6. Advanced NLP Applications: Machine Translation and Summarization

* The modules of the certification are constantly updated and are subject to change.

Who Should Do This Certification?

The Certified Natural Language Processing Professional (CNLPP) certification is highly valuable for professionals across various roles and industries, including:

• Data Scientists: Those already working in data science roles, seeking to enhance their NLP knowledge and skills.
• NLP Engineers: Professionals dedicated to developing NLP solutions and applications.
• Text Analysts: Individuals aiming to extract insights from text data and language.
• AI and ML Enthusiasts: Those interested in mastering NLP for career advancement.
• Decision-Makers: Executives and managers interested in leveraging NLP for business applications.

Embark on the journey of achieving the CNLPP certification to become a recognized expert in natural language processing, develop language models, and advance your career in the field of artificial intelligence and machine learning.