Artificial Intelligence (AI)

Course Description

This course is teaching the students how to develop advanced automated applications and practical knowledge to build an interactive application for enterprise application integrated into echo business with developing processes for saving time and useful with enterprise customers’ business requirements.

But which advanced algorithm, languages, and platforms should use, and how to meet a specific customer need effectively?

This course will let students build a suite of skills and experience that will prepare them for a career as an AI expert developer by understanding the enterprise echo business with software application programming, Integrated development tools, software development kits, and software subsystems to be employed to develop database, e-commerce, and mobile applications. Learning activities in this course include online classroom, laboratory, and online tasks to develop the knowledge and skills necessary to write effective computer programs for information system applications.

This course offers a range of technical subjects with a focus on the major areas of AI – from Natural Language Processing to Robotics. You’ll identify and solve complex artificial intelligence software engineering problems and develop skills that are increasingly the mainstay of software engineering. The course is founded on strong traditional and cutting-edge software engineering know-how, such as programming, Maths, and statistical knowledge, as well as ethics, social responsibility, and cognitive psychology. Working as a team, you’ll develop collaboration, negotiation, and research skills that you’ll take with you to the professional environment.

Course Overview







Fee and scholarship 

$ 5,000.00  

Note: Students be able to apply for a scholarship. 

Curriculum Details

Screenshot 2023-11-01 175229

Learning Outcome

  • Make accurate predictions 
  • Build responsible Al to avoid potential ethical issues in the future 
  • Make robust machine learning models 
  • Explore different models for pattern recognition 
  • Soft skill for the great leader for working as a team 
  • Master the fundamentals of machine learning 
  • Discover the many important uses of data mining and visualization 
  • Work with natural language processing and speech recognition 
  • Ability to build a echo business application programming 
  • Master the enterprise software application programming 

Career Expectation

  • Machine Learning Engineer 
  • Data Scientist 
  • Computational Linguist 
  • Software Engineer 
  • AI Engineer 
  • AI Researcher


Title Program:
Mode of Study:
Schedule of Study:
Associate Degree
1 year and half
Physical Class
Mon-Fri, 7:30 AM - 12:30 PM