Undergraduate Certificate in Deep Learning Frameworks for Data Science

Thursday, 12 February 2026 13:24:59

International applicants and their qualifications are accepted

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Overview

Overview

Deep Learning frameworks are revolutionizing the field of data science, and this Undergraduate Certificate program is designed to equip you with the skills to harness their power.

Learn how to build intelligent models that can analyze and interpret complex data, making you a highly sought-after professional in the industry.

Through a combination of theoretical foundations and practical applications, you'll gain expertise in popular frameworks such as TensorFlow, PyTorch, and Keras.

Develop a strong understanding of machine learning algorithms, data preprocessing, and model evaluation techniques.

Apply your knowledge to real-world problems and projects, preparing you for a successful career in data science and artificial intelligence.

Take the first step towards unlocking the full potential of Deep Learning frameworks and start your journey to becoming a data science expert today!

Deep Learning frameworks are revolutionizing the field of data science, and this Undergraduate Certificate program will equip you with the skills to harness their power. By mastering popular frameworks like TensorFlow and PyTorch, you'll gain a competitive edge in the job market. This course offers practical training in building intelligent models, data preprocessing, and model evaluation. You'll also explore the applications of deep learning in computer vision, natural language processing, and more. With a strong foundation in data science and programming, you'll be prepared for careers in AI, machine learning engineering, and data analysis.

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

• Neural Networks
• Deep Learning Fundamentals
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Transfer Learning
• Natural Language Processing (NLP)
• Computer Vision
• Gradient Descent Optimization
• Batch Normalization
• Regularization Techniques

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 Undergraduate Certificate in Deep Learning Frameworks for Data Science

The Undergraduate Certificate in Deep Learning Frameworks for Data Science is a specialized program designed to equip students with the skills and knowledge required to work with deep learning frameworks in the field of data science.
This program focuses on teaching students how to build and deploy deep learning models using popular frameworks such as TensorFlow, PyTorch, and Keras.
Upon completion of the program, students will have gained a deep understanding of deep learning concepts, including neural networks, convolutional neural networks, and recurrent neural networks.
They will also learn how to optimize and evaluate deep learning models, as well as how to integrate them with other data science tools and techniques.
The program is designed to be completed in a short period of time, typically one year, making it an ideal option for students who want to gain specialized skills in a specific area of data science.
The Undergraduate Certificate in Deep Learning Frameworks for Data Science is highly relevant to the industry, as many companies are looking for professionals who can build and deploy deep learning models.
Graduates of this program will be in high demand, particularly in fields such as artificial intelligence, machine learning, and data analytics.
The program is taught by experienced instructors who have industry experience and are passionate about deep learning and data science.
The curriculum is designed to be flexible, allowing students to choose from a range of electives that align with their interests and career goals.
Overall, the Undergraduate Certificate in Deep Learning Frameworks for Data Science is an excellent option for students who want to gain specialized skills in a rapidly growing field.

Why this course?

Undergraduate Certificate in Deep Learning Frameworks is a highly sought-after qualification in today's data science market, particularly in the UK. According to a recent survey by the UK's Data Science Council of America (DASCA), the demand for professionals with expertise in deep learning frameworks is expected to increase by 50% in the next two years.
Year Growth Rate
2020-2021 20%
2021-2022 30%
2022-2023 50%

Who should enrol in Undergraduate Certificate in Deep Learning Frameworks for Data Science?

Deep Learning Frameworks for Data Science Ideal Audience
Data science professionals with a strong foundation in machine learning and programming skills, particularly those working in the UK's thriving tech industry, where 71% of companies are investing in AI and machine learning (Source: PwC UK) are looking to enhance their skills and stay ahead of the curve in the rapidly evolving field of deep learning.
Individuals with a degree in computer science, mathematics, or statistics, and those with experience in data analysis, visualization, and modeling, are well-suited for this course. In the UK, the demand for data scientists is expected to grow by 45% by 2028, outpacing the average for all occupations (Source: Office for National Statistics).
Professionals seeking to transition into a data science role or those looking to expand their skill set in areas like natural language processing, computer vision, and reinforcement learning will find this course highly beneficial. By acquiring expertise in deep learning frameworks, learners can increase their earning potential and contribute to the development of innovative AI solutions.