AI Engineering and Data Science Track
To ensure that all participants are well-prepared and able to fully benefit from the advanced curriculum offered at our AI Institute, we have established the following prerequisites for enrollment in our 6-month AI Engineering program:
Educational Background
Degree:
A Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
Graduation Status:
Recent graduates (within the past two years) or final-year students who will complete their degree before the program start date.
Foundational Knowledge
Programming Skills:
Proficiency in at least one programming language commonly used in AI development, such as Python, Java, C++, or R.
Mathematics and Statistics:
A solid understanding of fundamental mathematical concepts including calculus, linear algebra, probability, and statistics.
Data Structures and Algorithms:
Familiarity with basic data structures (arrays,linked lists, trees, graphs) and algorithms (sorting, searching, dynamic programming).
Technical Skills
Basic Machine Learning:
Introductory knowledge of machine learning concepts and algorithms, such as regression, classification, clustering, and neural networks.
Software Development:
Experience with software development practices, version control systems (e.g., Git), and integrated development environments (IDEs).
Problem-Solving Ability
Critical Thinking:
Demonstrated ability to solve complex problems, think analytically, and apply theoretical concepts to practical scenarios.
English Proficiency
Communication Skills:
Proficiency in English, both written and verbal, to ensure effective communication and understanding of the course material.
Passion and Commitment
Interest in AI:
A genuine passion for artificial intelligence and a strong desire to pursue a career in this field.
Commitment:
Willingness to engage in full-time, intensive study for six months, followed by a two-year employment commitment through our institute.
Supplementary Criteria (Optional but Recommended)
Projects and Internships:
Prior experience with AI-related projects, internships, or research work can be advantageous.
Online Courses and Certifications:
Completion of relevant online courses or certifications in AI, machine learning, or data science
Professional Certificate - AI for Business Leaders
Educational Background
Degree:
A Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
Graduation Status:
Professionals with a minimum of 5-7 years of relevant work experience.
Foundational Knowledge
Business Acumen:
Strong understanding of business operations, strategy, and management principles.
Analytical Skills:
Proficiency in data analysis, interpreting financial statements, and utilizing business intelligence tools.
Foundational Knowledge
Digital Literacy:
Familiarity with digital transformation concepts and technology applications in business.
AI Awareness:
Basic understanding of artificial intelligence concepts and their business implications
Leadership & Management Experience
Decision-Making:
Demonstrated experience in making strategic decisions and leading teams.
Project Management:
Experience managing projects, including planning, execution, and evaluation.
English Proficiency
Communication Skills:
Proficiency in English, both written and verbal, to ensure effective communication and understanding of the course material.
Passion and Commitment
Interest in AI:
A genuine interest in leveraging AI for business strategy and operations.
Commitment:
Willingness to engage in part-time study while managing professional responsibilities.
Passion and Commitment (Optional but Recommended)
Professional Development:
Participation in relevant professional development courses or certifications.
Projects and Internships:
Experience in leading AI or technology-driven projects within a business context.