Certificate in Deep Learning for Text Classification

Monday, 09 February 2026 21:24:52

International applicants and their qualifications are accepted

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Overview

Overview

Deep Learning for Text Classification


This course is designed for data scientists and analysts who want to learn how to build text classification models using deep learning techniques.


With this certificate, you'll gain the skills to analyze and classify text data, including sentiment analysis, topic modeling, and named entity recognition.


Some of the key topics covered in this course include:

Convolutional Neural Networks (CNNs) for text classification, Recurrent Neural Networks (RNNs) for sequence data, and Long Short-Term Memory (LSTM) networks for natural language processing.


By the end of this course, you'll be able to apply deep learning techniques to real-world text classification problems and make informed decisions based on your analysis.


So why wait? Enroll in our Certificate in Deep Learning for Text Classification today and start building your skills in text analysis and classification!

Deep Learning for Text Classification is a comprehensive course that equips you with the skills to build intelligent text analysis models. By mastering Deep Learning techniques, you'll be able to classify text into predefined categories with high accuracy. This course offers key benefits such as improved data analysis, enhanced decision-making, and increased productivity. With a strong foundation in Deep Learning, you'll unlock career prospects in AI, NLP, and data science. Unique features of the course include hands-on projects, expert guidance, and access to a community of like-minded learners.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Natural Language Processing (NLP)
• Text Preprocessing
• Bag-of-Words (BoW)
• Term Frequency-Inverse Document Frequency (TF-IDF)
• Word Embeddings (Word2Vec, GloVe)
• Convolutional Neural Networks (CNNs) for Text Classification
• Recurrent Neural Networks (RNNs) for Text Classification
• Long Short-Term Memory (LSTM) Networks for Text Classification
• Transfer Learning for Text Classification
• Ensemble Methods for Text Classification

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Certificate in Deep Learning for Text Classification

The Certificate in Deep Learning for Text Classification is a comprehensive program designed to equip learners with the skills and knowledge required to build and deploy text classification models using deep learning techniques.
This program covers a wide range of topics, including natural language processing, text preprocessing, and deep learning architectures such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
Learners will also explore advanced techniques such as transfer learning, attention mechanisms, and gradient boosting.
Upon completion of the program, learners can expect to gain the following learning outcomes:
- Develop a deep understanding of text classification techniques and their applications in various industries
- Learn to design and implement text classification models using deep learning architectures
- Acquire hands-on experience with popular deep learning frameworks such as TensorFlow and PyTorch
- Understand the importance of data preprocessing and feature engineering in text classification tasks
The duration of the Certificate in Deep Learning for Text Classification program is typically 12 weeks, with learners expected to dedicate around 10-15 hours per week to coursework and assignments. This allows learners to balance their studies with other commitments while still achieving a high level of proficiency in the subject matter.
The program is highly relevant to the industry, with applications in areas such as sentiment analysis, spam detection, and topic modeling. Many organizations are looking for professionals who can develop and deploy text classification models to improve their operations and decision-making processes.
Upon completion of the program, learners can expect to earn a Certificate in Deep Learning for Text Classification, which can be used to enhance their career prospects and demonstrate their expertise in the field of deep learning for text classification.

Why this course?

Text Classification is a crucial aspect of natural language processing (NLP) in today's market, with the UK being no exception. According to a report by ResearchAndMarkets.com, the global NLP market is expected to reach $1.4 billion by 2025, with the UK being a significant contributor to this growth. In the UK alone, the NLP market is projected to reach £1.1 billion by 2025, with a compound annual growth rate (CAGR) of 21.4% from 2020 to 2025.
Year Market Size (£ billion)
2020 £430 million
2023 £630 million
2025 £1.1 billion

Who should enrol in Certificate in Deep Learning for Text Classification ?

Deep Learning for Text Classification Ideal Audience
Professionals and individuals with a background in computer science, artificial intelligence, and data science are well-suited for this Certificate program. In the UK, according to a report by ResearchAndMarkets, the demand for AI and machine learning professionals is expected to reach £14.8 billion by 2025, growing at a CAGR of 22.9%. With this Certificate, you can enhance your skills in text classification and stay ahead in the job market.
Data analysts, business intelligence specialists, and marketing professionals who want to apply machine learning techniques to text data can benefit from this program. In the UK, a survey by the Chartered Institute of Marketing found that 70% of marketers believe that AI will have a significant impact on their industry by 2025. By acquiring skills in deep learning for text classification, you can drive business growth and stay competitive.
Academics and researchers who want to explore the latest advancements in text classification can also benefit from this program. In the UK, universities are investing heavily in AI research, with a total investment of £1.3 billion in 2020. By taking this Certificate, you can expand your knowledge and contribute to the development of new AI applications.