IT-NetworkZ

AI & NLP

Work with AI and NLP models to process and analyze large datasets, focusing on text-based data.

Learn key NLP techniques like tokenization, stemming, lemmatization, and sentiment analysis.

Combine AI and machine learning algorithms to build models for tasks like language translation, text classification, and chatbots.

Gain experience in cleaning and preparing textual data for analysis and model training.

Apply AI & NLP to solve real-world problems in fields such as customer service, healthcare, and automation.

Work alongside experts in AI and NLP, enhancing your knowledge and preparing for future roles in AI development.

Strong knowledge of Python, as it's the primary language used for AI and NLP tasks, with libraries like NLTK, SpaCy, and TensorFlow.

Understanding of linear algebra, probability, and statistics to grasp NLP and machine learning algorithms.

Familiarity with machine learning fundamentals, including supervised learning, classification, and regression models.

Gain hands-on experience working with real-world AI and NLP projects, such as language processing, sentiment analysis, and text classification.

Enhance your expertise in AI, machine learning, and NLP techniques, including working with popular libraries like TensorFlow, NLTK, and SpaCy.

Boost your resume with specialized skills in AI and NLP, opening doors to career opportunities in data science, machine learning, and AI development.

Those studying computer science, data science, engineering, or related fields with an interest in AI and NLP.

Individuals passionate about language processing and AI who want to gain practical experience in NLP.

Candidates with a basic understanding of Python and machine learning concepts, eager to learn and explore NLP applications.

Programming (Python)

Natural Language Processing (NLP)

Machine Learning Fundamentals

Data Preprocessing

Libraries (NLTK, SpaCy, TensorFlow, PyTorch)

Mathematics & Statistics

Certificate

Letter of recommendation

Flexible work hours

Internship Details