The Postgraduate Diploma in Artificial Intelligence 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. The program places a strong emphasis on hands-on, project-based learning to ensure students gain practical experience in applying AI concepts to real-world scenarios. Taught by expert faculty members deeply entrenched in the field, students benefit from insights into the latest advancements in AI technology.

• Personalised 1:1 Career Coaching and Mentorship
• Interactive Live Sessions Led by Global Experts
• Over 200 Hours of Guided Learning
• Continuous Support Available Seven Days a Week
• Real-World Industry Projects and Case Studies
• 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)
• A Career-Centric Approach to Achieve Your Goals
• Two Years of Unlimited Access to High-Quality Content
• Euclea Certification to Validate Your Expertise
• Customised Resume Building Exercise for Professional Enhancement
• Lectures by Highly Qualified Professors and Industry Experts
• More Practical-Driven Learning Through Industry Case Studies, Assignments, and Simulations
• 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
• Assistance in Capstone Project Development
• Placement and Internship Opportunities

• Natural Language Processing (NLP) Engineer: NLP Engineers specialize in the development of systems that understand and interpret human language. They work on applications like speech recognition, language translation, and sentiment analysis.Machine Learning Engineer: Machine Learning Engineers design and implement algorithms that enable machines to learn from data and make intelligent decisions. They work on developing systems capable of self-improvement through iterative learning processes.
• Data Scientist: Data Scientists analyze and interpret complex data sets to inform business decision-making. They use statistical techniques, machine learning, and data visualization to extract meaningful insights and patterns from large datasets.
• AI Research Scientist: AI Research Scientists conduct advanced research in artificial intelligence, exploring innovative algorithms, models, and techniques. They contribute to the development of cutting-edge AI technologies and often publish research findings in academic journals.
• Computer Vision Engineer: Computer Vision Engineers focus on creating systems that enable machines to interpret and understand visual information from the world, such as image and video recognition. This is crucial for applications like facial recognition and autonomous vehicles.
• AI Consultant: AI Consultants provide expertise to organizations looking to integrate AI solutions into their operations. They assess business needs, recommend AI strategies, and assist in the implementation of AI technologies to enhance efficiency.
• AI Product Manager: AI Product Managers lead the development of AI-based products. They collaborate with cross-functional teams, define product roadmaps, and ensure that AI solutions align with market needs and business objectives.
• Robotics Engineer: Robotics Engineers design, build, and maintain robotic systems. In the context of AI, they may work on developing intelligent robots capable of learning and adapting to various environments.
• AI Ethicist: AI Ethicists focus on the ethical implications of AI technologies. They contribute to the development of guidelines and policies to ensure responsible and ethical use of AI, addressing issues like bias, privacy, and transparency.
• AI Trainer/Annotation Specialist: Professionals in this role are involved in preparing and compiling datasets for machine learning models. They label and annotate data to train AI systems, ensuring that the models learn from accurate and diverse information.

• Euclea Business School, France
• College De Paris

• A bachelor's degree in a relevant field such as computer science, engineering, mathematics, physics, or a related discipline.
• Proficiency in programming languages such as Python, Java, or C++.
• Adequate proficiency in English is a must for all programs.

Programming Languages: 

• Python, R

Machine Learning Frameworks:

• TensorFlow and PyTorch

Scikit-learn

Deep Learning Libraries:

• Keras
• MXNet
• Caffe

Natural Language Processing (NLP) Tools:

• NLTK (Natural Language Toolkit) and Spacy

Big Data Tools:

• Apache Hadoop and Apache Spark

Reinforcement Learning Libraries:

• OpenAI Gym

Data Visualization Tools:

• Matplotlib
• Seaborn

Version Control Systems:

• Git

Cloud Platforms:

• Amazon AWS, Microsoft Azure, Google Cloud

Database Systems:

• MongoDB, MySQL.

Integrated Development Environments (IDEs):

• Jupyter Notebooks.
• PyCharm.

Visual Studio Code

Eucléa Business School 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. Our school is dedicated to pedagogical excellence and personal development. Euclea’s goal is to help you develop your skills, explore new perspectives and prepare for a bright future while fostering a student life rich in opportunities.

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 has gained recognition for its innovative online and blended learning approach.   The institution prioritises student placements and strives to make them more accessible by partnering with a wide range of organisations.

• Eligibility Check
• Application Submission
• Application Acceptance
• Provisional Admission
• Document Verification
• Admission acceptance

* Adjunct Professor

What are the prerequisites for enrolling in a PG Diploma in AI program?

• Common prerequisites include a bachelor's degree in a related field (such as computer science or engineering) and a background in programming.

Is work experience required for admission to the program?

• Some programs may prefer or require work experience, while others may admit students directly from undergraduate programs.

What topics are covered in the AI program's curriculum?

• This can include machine learning, deep learning, natural language processing, computer vision, data science, and related topics. 

What programming languages are used in the program?

• Python is widely used in AI, but the program may also cover languages such as R or others depending on the curriculum.

Are there any specific hardware or software requirements for the program?

• 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.

How are assessments conducted in the program?

• Assessments may include exams, projects, assignments, and possibly a final capstone project. 

Are there opportunities for internships or industry projects?

• Yes, programs may have partnerships with industry, offering opportunities for internships or real-world projects, providing practical experience.

What kind of career support or placement assistance is provided?

• Inquiring about career services, networking opportunities, and placement support can be essential for post-graduation success.

Can the program be pursued on a part-time or online basis?

• Some programs offer flexibility for working professionals, allowing them to pursue the diploma on a part-time basis or through online courses.

Are the potential career paths for graduates of the program? 

• Understanding the potential career outcomes and pathways can help students align their expectations with the program's offerings.