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We're here to help you find itNLP@Work certification is a recognition earned by professionals utilizing Neuro-linguistic Programming (NLP) in a work context. NLP is an approach to Communication and Personal development that focuses on the link between language and behavior. It enables professionals to enhance their Communication, leadership, and Coaching skills, improving overall business performance. Industries use the NLP@Work certification to gauge a candidate's proficiency in using NLP for managing teams, resolving conflicts, shaping strategies, and achieving business goals. This certification often signifies an individual's commitment to continuous professional improvement and effective interpersonal Communication, making them preferable in roles involving considerable people interaction.
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| Course Fee | 575 |
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Total Fees |
575 (USD) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
- IT professionals who deal with data processing and analysis
- Students studying computer science, artificial intelligence, or data science
- Software developers or engineers interested in AI technology
- Data analysts seeking to expand their skills
- Businesses looking to integrate AI technology into their operations
- Researchers in language, linguistics, artificial intelligence or computational linguistics.
- Certified Instructor: Gain valuable knowledge from certified professionals with industry experience.
- Boost Your Career: Enhance your skill set and open up new career opportunities in the field of NLP.
- Customized Training Programs: Choose from a variety of programs tailored to your specific needs and interests.
- Affordable Pricing: Benefit from competitively priced courses without compromising on quality.
- Flexible Dates: Choose an option that fits your schedule best with the flexibility in course dates.
- Instructor-Led Online Training: Learn from the comfort of your home or office with live, instructor-led online training.
- Wide Range of Courses: Access comprehensive courses covering various aspects of NLP@Work.
- Accredited Training: Get recognized for your skills with accredited training from a leading institute.
- Top Training Institute: Benefit from training provided by a renowned organization trusted by professionals worldwide.
- Destination Training: Opportunity to travel and learn at Koenig’s world-class training destinations.
After completing the NLP@Work certification training, an individual might earn skills such as improved communication techniques, advanced interpersonal skills and the ability to influence behavior in a positive manner. They would also learn tools for self-awareness and self-management, conflict resolution strategies, and skills to enhance motivation. The training would also equip them with techniques to manage stress and emotions, amplify rapport-building abilities, and foster effective goal setting. It would also give them an understanding of non-verbal communication cues.
Leading tech companies such as Amazon, Google, Microsoft, and Facebook hire NLP@Work certified professionals, given their expertise in natural language processing. Global consulting firms like Accenture, Deloitte, and IBM also recruit NLP@Work experts, seeking their abilities for innovation in AI and machine learning solutions. Leveraging NLP skills, these firms drive customer engagement, enhance data interpretation and automate tasks.
The primary learning objectives of the NLP@Work course are to equip participants with a thorough understanding of Natural Language Processing (NLP) techniques and their practical applications in the workplace. Participants will learn to interpret, analyze, and respond to human language in a meaningful way. They will be exposed to various NLP algorithms and models, and learn how to use them to extract insights from text data. The course will also teach students how to build NLP models using popular libraries in Python. Lastly, it aims to enhance the participants' skills in using these models to solve real-world business problems.
