Award in Machine Learning - Concepts and Applications

Award in Machine Learning - Concepts and Applications

  • MQF Level 6
  • 5 ECTS

Course Overview

This unit aims to provide students with an in-depth understanding of advanced machine learning paradigms, focusing specifically on deep learning and reinforcement learning. The course is designed to cover the theoretical foundations, practical implementations, and real-world applications of these advanced techniques. Students will explore the intricacies of supervised and unsupervised learning, delve into the nuances of neural network architectures, and understand the algorithms that drive reinforcement learning.

The curriculum emphasizes the application of these advanced techniques in specialized fields such as robotics, computer vision, natural language processing (NLP), and bioinformatics. By the end of this unit, students will be proficient in designing, implementing, and optimizing complex machine-learning models.

They will also gain insights into the ethical considerations and potential risks associated with deploying machine learning solutions.

Through practical exercises, students will learn to navigate the entire machine learning lifecycle—from data preprocessing and model training to deployment and continuous improvement. The unit also covers strategies for improving model performance, such as hyperparameter tuning, regularization techniques, and advanced optimization methods. Additionally, students will develop the skills needed to collaborate effectively with interdisciplinary teams and communicate the value of machine learning applications to stakeholders.

The main assessment method will be as follows: 100% Assignment (Word Count: 4,000 – 6,000 words)

Accredited

MQF Level 6

Award

5 ECTS

  • Individuals seeking a comprehensive education in software design, including foundational and advanced topics in artificial intelligence and cloud computing.
  • Students are interested in developing a broad understanding of software development principles and technologies, with options to specialize through various awards within the programme.
  • Professionals aiming to enhance their skills and qualifications in software design, AI, and cloud computing to advance their careers.
  • Anyone passionate about technology and innovation, looking to gain knowledge and practical experience in cutting-edge software solutions and computing technologies.

Hybrid classes (subject to change)

You can register for programs either online or in-person. For further details, please feel free to contact us.

  • Students must be in possession of a minimum MQF Level 4 full qualification or higher related to Software Design, IT, or Computing
  • While not mandatory, any relevant experience in IT, software development, or related areas will be considered a benefit.
  • intelligence, cloud computing, and software design, along with a commitment to successfully completing the programme.
  • In the case of international students, where English is not an official language, students need to demonstrate proficiency in the English language through IELTS (Score: 6.0) (International English Language Testing System) or equivalent.

YES this course falls under the

  • GET QUALIFIED scheme which is an initiative that supports the personal development of individuals for the achievement of qualifications and certifications required by industry. The incentive is applicable to individuals following a course of studies leading to a Certification, Diploma, Degree, or Post-Graduate Degree Courses. Upon successful completion, the student will benefit from a tax credit enabling them to recover part of the costs incurred.

Discover more on website: https://maltaenterprise.com/support/get-qualified-2017-2023

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Sharona Vidal
Euro (EU / Maltese)600.00
Course Length

1 Month

Intakes

To obtain information about the current intakes dates, we invite you to get in touch with our office.

Class Schedule

Twice weekly, from 18:30 pm till 20:30 pm (subject to change)

Language

English

Registration Fees: €250

Assignment Submission Fees: €50 per assignment

Fees include

1. Overall qualification certificate

2. Course material tutorial support notes

3. Access to online course resources