Become an expert in Artificial Intelligence with our

Post Graduate Diploma in

Artificial Intelligence

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  • 12 Months
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Gain the skills and knowledge needed to create cutting-edge mobile applications

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What distinguishes us ?
  • Personalised 1:1 Career Coaching and Mentorship
  • Interactive Live Sessions Led by Global Experts
  • 15+ Tailored Industry Sessions for a Personalised Experience
  • 10+ In-Depth Case Studies to Enhance Your Skills
  • Interview Preparation and Mock Interviews for Career Success
  • Hands-On Experience with Building Your Own Product (BYOP)
  • Euclea Certification to Validate Your Expertise
  • Migration Opportunity to France or Dubai (Upon Visa Approval)
  • Pathway to WES CANADA AND UK NARIC Recognized, Equated to Canadian Masters and British Bachelor Degree
  • Placement and Internship Opportunities
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About

Globally Accredited

About
 Welcome to

Britts Imperial University College

Britts Imperial University College (UAE) is renowned for its outstanding technology and business education. The College, with its exceptional offerings, has gained immense popularity as one of the most desirable institutions in the Middle East and beyond. With a student population of over 3000 students, Britts Imperial University college has established a solid reputation in the field of Education. The institution prioritises student placements and strives to make them more accessible by partnering with a wide range of organisations.

Eucléa Business School, in collaboration with Britts Imperial University College is a higher education institution that is a member of the Collège de Paris, specialised in business, technology and alternating management. With four campuses strategically located in Strasbourg, Metz, Mulhouse and Reims, Eucléa offers a complete range of training, ranging from Post-Bac to Bac+5 level.

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Why Choose Us

Postgraduate Diploma In Artificial Intelligence

The PG Diploma in Artificial Intelligence is crafted to equip students with the necessary knowledge and skills to excel in the dynamic realm of artificial intelligence.

It is a comprehensive program with the primary objective of equipping students with the knowledge, skills, and practical experience necessary to thrive in the rapidly evolving field of artificial intelligence (AI). The curriculum is structured to cover fundamental and advanced aspects of AI, including machine learning, neural networks, natural language processing, computer vision, reinforcement learning, ethical considerations in AI development, and computer-based research methods.

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Career Opportunities

  • Machine Learning Engineer & Robotics Engineer
  • Data Scientist & AI Ethicist
  • AI Research Scientist & AI Trainer/Annotation Specialist
  • Natural Language Processing (NLP) Engineer
  • Computer Vision Engineer
  • AI Consultant:
  • AI Product Manager

Program Objectives

Fundamental Proficiency:

This program aims to cultivate a comprehensive understanding of essential artificial intelligence concepts, including machine learning, neural networks, natural language processing, computer vision, and reinforcement learning. The goal is to provide students with a solid foundation in AI principles, enabling them to apply these concepts to solve complex problems and contribute meaningfully to AI research and development.

Practical Application:

The program focuses on hands-on, project-based learning to ensure that students gain practical experience in implementing AI solutions. By working on industry-relevant projects, students develop the skills necessary to apply theoretical knowledge to real-world scenarios, fostering a practical and industry-ready skill set.

Ethical Considerations:

Emphasizing the ethical dimensions of AI development, the program aims to instill a deep understanding of the responsible and ethical use of AI technologies. Students will explore the societal impact of AI, ethical considerations in AI decision-making, and strategies for developing AI systems that align with ethical principles.

Research Proficiency:

The inclusion of computer-based research methods is designed to equip students with the skills needed to critically evaluate existing AI methodologies, contribute to AI research literature, and stay abreast of the latest advancements in the field. The program aims to foster a culture of continuous learning and research within the AI domain.

Course Structure

PGDIP – PG Diploma in Software Engineering (70 ECTS)
Year BIG Code Course Code Course Name Credits
MSCC001 MICC Managing Innovation and Change in Computing 10 Credits
MSCC002 SDUE Systems Development and User Experience (UX) 10 Credits
MSCC003 IMCS Implementing and Managing Cyber Security 10 Credits
MSCC004 BIS Business Intelligence Systems 10 Credits
MSCC005 IP Independent Project 10 Credits
MSCC006 CBRM Computer Based Research Methods 10 Credits
MSCC007 AI Artificial Intelligence 10 Credits
Total Credits (ECTS) 70 Credits
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1.5K+ Active Students
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Progression Pathways

Programme Name

MSc Computing

Year of Entry

2nd Year

Total Credits Required

70

Total Credits Earned

120

Progression Route

Post Graduate Diploma in Artificial Intelligence

Awarding body

Euclea Business School,
France

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Tools and Technologies

course

Programming Languages:

  • Python, R

Machine Learning Frameworks:

  • TensorFlow and PyTorch
course

Natural Language Processing (NLP) Tools:

  • NLTK (Natural Language Toolkit) and Spacy

Big Data Tools:

  • Apache Hadoop and Apache Spark
course

Version Control Systems:

  • Git

Cloud Platforms:

  • Amazon AWS, Microsoft Azure, Google Cloud
course

Database Systems:

  • MongoDB, MySQL.

Integrated Development Environments (IDEs):

  • PyCharm
  • Jupyter Notebooks

Program Timeline

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Frequently Asked Question

Common prerequisites include a bachelor's degree in a related field (such as computer science or engineering) and a background in programming.
Some programs may prefer or require work experience, while others may admit students directly from undergraduate programs.
This can include machine learning, deep learning, natural language processing, computer vision, data science, and related topics.
Python is widely used in AI, but the program may also cover languages such as R or others depending on the curriculum.
Students may need access to specific tools and software for programming, data analysis, and AI development. Understanding the hardware requirements can also be important for resource-intensive tasks.
Assessments may include exams, projects, assignments, and possibly a final capstone project.
Yes, programs may have partnerships with industry, offering opportunities for internships or real-world projects, providing practical experience.
Inquiring about career services, networking opportunities, and placement support can be essential for post-graduation success.
Some programs offer flexibility for working professionals, allowing them to pursue the diploma on a part-time basis or through online courses.
Understanding the potential career outcomes and pathways can help students align their expectations with the program's offerings.