Professional Certificate in RNNs and LSTM

Sunday, 15 February 2026 10:13:28

International applicants and their qualifications are accepted

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Overview

Overview

Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) are fundamental concepts in deep learning.


Designed for data analysis and prediction tasks, RNNs and LSTMs are used in various applications such as natural language processing, speech recognition, and time series forecasting.


This Professional Certificate program is ideal for data scientists, machine learning engineers, and researchers who want to master RNNs and LSTMs.


Through interactive lectures, hands-on projects, and expert guidance, learners will gain a deep understanding of RNNs and LSTMs, including their architecture, training techniques, and applications.


Upon completion, learners will be equipped with the skills to design and implement RNNs and LSTMs for real-world problems.


Join our Professional Certificate program in RNNs and LSTMs to take your career to the next level and unlock the full potential of these powerful algorithms.

RNNs and LSTM are revolutionizing the field of artificial intelligence, and this Professional Certificate course will equip you with the skills to harness their power. By mastering RNNs and LSTM, you'll gain a deep understanding of sequence modeling, time series forecasting, and natural language processing. This course offers key benefits such as improved predictive accuracy, enhanced data analysis capabilities, and increased career prospects in AI and machine learning. With unique features like hands-on projects, industry expert guidance, and a supportive community, you'll be well on your way to a successful career in RNNs and LSTM development.

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

• Recurrent Neural Networks (RNNs) Fundamentals • Long Short-Term Memory (LSTM) Architectures • RNNs and Vanishing Gradients • Backpropagation Through Time (BPTT) • RNNs and Sequence Prediction • LSTM Units and Gate Mechanisms • RNNs and Attention Mechanisms • RNNs for Natural Language Processing (NLP) • RNNs and Time Series Forecasting • RNNs and Deep Learning Applications

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 Professional Certificate in RNNs and LSTM

The Professional Certificate in RNNs and LSTM is a specialized course designed to equip learners with the skills and knowledge required to build and deploy Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks.
This course is ideal for data scientists, machine learning engineers, and researchers who want to enhance their understanding of RNNs and LSTMs, which are essential components of natural language processing, speech recognition, and time series forecasting.
Upon completing the course, learners will be able to learn how to design, implement, and evaluate RNNs and LSTMs using popular deep learning frameworks such as TensorFlow and PyTorch.
The course covers a range of topics including RNN architecture, LSTM variants, and techniques for training and optimizing RNNs and LSTMs.
The duration of the course is approximately 4 months, with learners expected to dedicate around 10 hours per week to complete the coursework.
The Professional Certificate in RNNs and LSTM is highly relevant to the industry, as RNNs and LSTMs are widely used in various applications such as chatbots, sentiment analysis, and language translation.
Learners who complete the course will gain a deep understanding of RNNs and LSTMs and be able to apply their knowledge to real-world problems, making them more competitive in the job market.
The course is designed to be self-paced, allowing learners to learn at their own speed and on their own schedule.
The Professional Certificate in RNNs and LSTM is offered by top universities and institutions, ensuring that learners receive high-quality instruction and support throughout the course.
Upon completion of the course, learners will receive a professional certificate that can be added to their resume or LinkedIn profile, demonstrating their expertise in RNNs and LSTMs.

Why this course?

Relevance of Professional Certificate in RNNs and LSTM in Today's Market In the UK, the demand for professionals with expertise in Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) is on the rise. According to a report by the UK's Office for National Statistics, the field of artificial intelligence is expected to create over 140,000 new jobs by 2025, with RNNs and LSTM being key technologies driving this growth.
Year Number of Jobs
2020 30,000
2021 40,000
2022 50,000
2023 60,000
2024 70,000
2025 80,000

Who should enrol in Professional Certificate in RNNs and LSTM?

Primary Keyword: RNNs Ideal Audience
Data scientists and machine learning engineers in the UK are in high demand, with a projected growth rate of 13% by 2027 (Source: Glassdoor) who want to enhance their skills in deep learning and natural language processing
Professionals with a strong foundation in programming languages like Python and experience with popular libraries like TensorFlow and Keras are well-suited for this course, as they will learn to build and train Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks
Those interested in applications such as speech recognition, text summarization, and language translation will find this course particularly useful, as it covers the theoretical aspects and practical implementation of RNNs and LSTMs