PG Diploma in Artificial Intelligence and Machine Learning

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45 Credits (ECTS)

PG Diploma in Artificial Intelligence and Machine Learning

This PG Diploma provides hands-on training in constructing ML models from scratch using Numpy and Scikit-learn. Learn how to build and train supervised models for prediction and binary classification tasks. The Diploma will help you delve deeper into building neural networks with TensorFlow for multi-classification and investigate decision trees and tree ensemble methods. Discover best practices for ML development and leverage unsupervised learning techniques to uncover patterns, structures, and relationships in data.

  • Earn a PG Diploma in Artificial Intelligence and Machine Learning from Universidad Católica De Murcia, (UCAM) Spain.

  • Universidad Catolica De Murcia (UCAM) Spain, accredited by Ministry of Education, Spain, is a member of Bologna Process in European Higher Education Area (EHEA) and It is also a NARIC-approved and WES-accepted university.

  • It is a 45 ECTS credit programme that offers online learning in conjunction with an industry-leading curriculum.

  • Learners can complete the program within a fixed duration of 9 months.

  • 200 hours of live instructor-led training.

  • 5 industry based projects.

  • Hands on experience with latest tools and applied projects.

  • Live engagement classes by seasoned academics and professionals.

  • Flexible timing for working professionals.

  • Payment Scheme: Monthly Instalments.

  • This course is being delivered in partnership with Airtics Education.

Course Module & Fee

Course Registration Fee

$560 (To start with the course)

Monthly Installment

$410 (To be paid on a monthly basis for 9 installments)

Total Fee

$4250

Go to Module Details

Admission Requirement

Academic Route

A bachelor’s degree from an accredited university (or academic equivalent) in any subject.

Mature Entry Route

N/A

English Language Proficiency Label

If you are not a native speaker, you should have an appropriate English proficiency level, e.g. an IELTS score of 5.5 or equivalent in all bands or possess a bachelor’s degree delivered and assessed in English, or proof of work experience in an English-speaking environment. 

Prerequisite

Due to its involvement in modern Machine Learning algorithms with maths and programming, candidates having knowledge of linear algebra, probability and calculus could be a plus.

Why UniAthena?

Flexible

At UniAthena, you are in charge of your learning! You get to decide the pace of your learning based on your financial and time availability. The learning structure is modular, ensuring pace, effectiveness and momentum of your learning journey. With this byte-sized learning format you get to learn anywhere, anytime.

Affordable

With UniAthena as your learning partner, you follow a ‘Pay as you Go Scheme’ for your program, that means no upfront bulk payment of your fee. Instead, your fee will be divided into small pocket-friendly installments distributed across your program.

Accredited & Globally Accepted

UniAthena has partnered with reputed Universities and Awarding bodies, all of which are fully accredited by governmental regulatory bodies in their respective countries. Universities are NARIC Approved and are part of European Higher education, Bologna process, making the programs recognised worldwide.

Stackable

Byte-sized learning formats ensure that each learning item carries tangible value in terms of learning outcome, which allows learners to stack or combine small units into higher education credits toward a degree or diploma. At any point of time during your course, you can claim a certificate/diploma based on the credits you have earned so far.

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Certifications

PG Diploma in Artificial Intelligence and Machine Learning
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Awarding Body Accredited By

Ministry of Education, Spain
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Fixed Duration

9 Months
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Learning

Online - Live Classes

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What You Learn

Module 1

Python for Data Science

Python for Data Science

Duration: 5 weeks

This module provides a comprehensive introduction to the Python programming language, focusing on its application in data science and it covers the basic concepts of Python.

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 2

Mathematics and Statistics for Data Treatments

Mathematics and Statistics for Data Treatments

Duration: 5 weeks

This module provides learners with tools and techniques to work with datasets effectively and covers statistical tools, probability, and concepts essential for data analysis and visualisation.

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 3

Data Cleaning and Pre-processing

Data Cleaning and Pre-processing

Duration: 5 weeks

This module focuses on equipping learners with necessary skills to effectively clean and preprocess data using the Pandas library and also enabling learners to develop their programming skills.

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 4

Introduction to Machine Learning

Introduction to Machine Learning

Duration: 5 weeks

The Introduction to Machine Learning module provides learners with a comprehensive understanding of the fundamental concepts, tools, and techniques used in machine learning.

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 5

Advanced Python for NLP

Advanced Python for NLP (Specialization A1)

Duration: 5 weeks

This module is designed to enhance the learner's Python programming skills, specifically NLP tasks, and the module begins with a revision of Python structure and programming concepts.

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 6

Deep Learning for NLP (Specialization A2)

Deep Learning for NLP (Specialization A2)

Duration: 5 weeks

The module focuses on providing learners with a comprehensive understanding of deep learning concepts and their applications in Natural Language Processing (NLP).

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 7

Advanced Python for Computer Vision

Advanced Python for Computer Vision (Specialization B1)

Duration: 5 weeks

The module focuses on enhancing the learner's Python programming skills, specifically for computer vision tasks, and helps to understand Python structure and programming concept.

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 8

Deep Learning for Computer Vision (Specialization B2)

Deep Learning for Computer Vision (Specialization B2)

Duration: 5 weeks

This module helps to gain a comprehensive understanding of deep learning concepts and their applications in computer vision tasks and also introduces the fundamentals of deep learning.

5 weeks

Level: EQF Level 7

Credits: 6 ECTS

Module 9

Capstone Project

Capstone Project

Duration: 2 -3 Months

Bring Your Own Project Learn to solve a problem OR Choose From Curated Capstone Projects: House Rental Prediction, Image Classification and Business Insights Reporting.

2 -3 Months

Level: EQF Level 7

Credits: 9 ECTS

90%

Students would Recommend this Course 

80%

Students Observed Improvement in Performance at Work 

Partners of this Programme

Universidad Católica De Murcia (UCAM) is a university par excellence based out of Murcia, Spain. Established in 1996, the university is accredited by the Ministry of Education, Spain, ANECA, and is a member of ENQA, Universia, and EUA. UCAM is ranked among the 200 best universities in Europe and the 10 best valued by its students by The Times Higher Education World University Rankings 2021. UCAM has a strategic partnership network with more than 280 universities.


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Admission Process

Please find below the detailed steps to be followed as a part of the admission process.

Step 1:

Register to the Course

Fill up the form and register to the course.

Step 2:

Submit the Form

Fill and Submit the course application form.

Step 3:

Pay & Start

Upon receiving the Admission Letter, make the first payment instalment and begin learning.

Why This Course ?

Course Resources

For more detailed information about the course, please click on the link/links below.

Why This Course ?

1

Practical Learning

The course facilitates hands-on learning through a blend of applications and use cases, featuring Financial trading, Marketing personalization, Predictive analytics, and Forecasting trends.

2

Industry-focused Coursework

This PG Diploma will help learners master skills that matter the most to stay ahead of the tech curve viz., Natural Language processing, Machine Learning, Deep learning, Reinforcement learning, Neural networks and Computer vision.

3

Wide Career Opportunities

This acclaimed AI and ML PG Diploma opens diverse opportunities across industries like healthcare, finance, e-commerce, etc., preparing learners for roles such as Data Scientist, AI Engineer, NLP Specialist, and more. A study projects a shortage of over 5 million AI professionals by 2025.

How You Learn ?

Scientifically developed learning pedagogy, which ensures quality and effective learning experience for the learners. We ensure a seamless learning experience for students with varying levels of expertise on the subject matter.

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Live Classes

Experience real-time interaction with instructors and peers in a virtual classroom, while enjoying the flexibility to learn at your own pace.

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Text Learning Contents

Multi-level learning resources including relevant journal articles, case studies, quizzes developed by our faculty will enhance your learning experience.

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Personal Tutor

One to one personal tutor meetings will clarify your doubts and also provide guidance on your assignments.

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Online Library

You get unlimited access to the online library which consists of a large collection of books, journals, articles, white papers, videos, case studies, and other publications.

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Collaborative Learning

Discussion Forum, webinars, business scenario presentations, debates will extend your learning beyond the curriculum and open a new world before you.

What You Receive ?

You will be receiving the following certificates as specified below:

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PG Diploma in Artificial Intelligence and Machine Learning issued by

Universidad Catolica De Murcia (UCAM), Spain
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All certificate and transcript images are for illustrative purposes only and may be subject to change at the discretion of respective Universities or Awarding Bodies.

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Frequently Asked Questions

1. Professionals who have keen interest in AI.
2. Career starters interested in the field of AI.
3. Students aiming their career in AI and Machine learning.
4. Software and IT Professionals.
5. Individuals and professions looking for a career change.
6. Engineers, Marketing, Healthcare, Finance Professionals aiming for career excellence

Applicants should have a Bachelor’s degree or equivalent qualification in order to be eligible for this course. Additionally, applicants must have adequate proficiency in the English language.

Prerequisites:
Due to its involvement in modern Machine Learning algorithms with maths and programming, candidates having knowledge of linear algebra, probability and calculus could be a plus.

All applicants are required to upload the following documents in order to be eligible for admission:

1. Bachelor's Degree Certificate (Official translations should be submitted if the documents are not in English).
2. The final transcript of the Bachelor's Degree.
3. A copy of the government-issued photo identity.

The core resources of the program are video classes and related reading materials. The learners will get Live Virtual training and also on-demand learning support.

We provide on-demand learning support to every student and every student receives pastoral support and guidance from in-house student engagement team.

The following are the Application and Use Cases of this Course:

1. Financial Trading
2. Marketing Personalization
3. Recommendations
4. Online Search
5. NLP-Natural Language Preprocessing
6. Predictive Analytics
7. Forecasting Trends

This program does not involve written examinations. Upon enrolling, your performance will be evaluated based on the outcomes of your capstone projects and assignments. Be informed that a final submission will encompass both the project and assignment aspects. To ensure successful completion, kindly adhere to the specified deadline for submitting assignments and capstone projects within each unit.

The skills covered during the program are:

- Machine Learning
- Deep Learning
- Natural Language Processing 
- Reinforcement Learning
- Computer Vision
- Neural Networks

Once you have registered for the course, you can complete the programme in a fixed time period of 9 months.

Each module must be completed within 5 weeks of the enrollment date.

This Diploma is certified by Universidad Católica de Murcia (UCAM), Spain, accredited by ANECA (National Agency for Quality Assessment and Accreditation of Spain) and the Ministry of Education regarding 17 of its undergraduate degrees.

Under any unforeseen circumstances, if you want to withdraw from the programme, you may be unable to apply for an Early Exit Award.

There will be a formal convocation ceremony conducted by UCAM in UAE.

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