KNOWLEDGE & SKILLS GAINED
Students will understand the foundations of intelligent agents and their working environment, along with various search strategies. They will also learn the key concepts in designing and delivering innovative AI solutions. Students will be able to identify AI models to improve model accuracy and efficiency.
The program introduces data analysis libraries in Python and students will gain experience in querying, cleaning, processing and manipulating data. They will get hands-on experience in various algorithms in Artificial Intelligence, and project work will help build technical skills by providing a methodological approach towards problem solving using AI models.
THIS PROGRAM IS OFFERED IN AN ONLINE FORMAT
- Training is conducted in an online classroom.
- Evaluations like Quizzes, Midterms, Exam, and some Assignments are offered in LISA. Watch the video to learn more!
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PRE-REQUISITES: Computer Knowledge
PROGRAM OUTLINE
Professional Skills - Trains students in the interpersonal skills required for successful induction and performance in the professional world.
Project + - Helps students to prepare for the CompTIA Project+ exam.
Introduction to Programming - Introduces students to the fundamentals of computer programming using Python.
Database Fundamentals - Helps students prepare for Microsoft Technology Associate Exam, and build an understanding of these topics: core database concepts, creating database objects, manipulating data, data storage, and administering a database.
Statistical Inference - Introduces the fundamental concepts for understanding statistical analysis and its use in testing hypothesis and exploratory data analysis.
Mathematics for AI and ML - Provides mathematical background for Artificial Intelligence and Machine Learning and covers linear algebra, analytical geometry, matrix decomposition, probability theory, vector calculus, and optimization.
Data Processing and Manipulation - Introduces concepts of data processing, wrangling, manipulation, transformation, and operations on data using Pandas Library.
Data Visualization - Provides students with the necessary skills to interpret and present data clearly and in a visually appealing manner using Python libraries.
Principles of Artificial Intelligence - Covers fundamental concepts of AI, the structure of agents, and their working environment, problem-solving through search, search strategies, reasoning with propositional logic, inference using predicate logic, and knowledge representation.
Probabilistic Reasoning and Decision Making - Introduces the core concepts of Artificial Intelligence with a focus on probabilistic modeling and decision-making under uncertainty.
Capstone Project for AI - Offers a hands-on learning experience for students to work independently on a specialized topic in Artificial Intelligence.
WHY CHOOSE THIS PROGRAM?
Earning a Diploma in Artificial Intelligence opens doors to a vast array of opportunities in the IT industry. This diploma covers the foundations of Artificial Intelligence, data processing, and visualization. Students are therefore trained in emerging applications areas of Artificial Intelligence with hands-on experience on AI models. Top IT employers are looking for software engineers who understand the complexity of data problems and can collaborate in problem solving using AI models.
LEARNING STEPS TOWARDS OTHER SIMILAR PROGRAMS
ASSOCIATED NATIONAL OCCUPATION CLASSIFICATION (NOC) CODES
After earning a diploma in Artificial Intelligence, graduates are eligible for positions falling under the following NOC Codes
21231 - Software engineers and designers research, design, evaluate, integrate, and maintain software applications, technical environments, operating systems, embedded software, information warehouses, and telecommunications software. They are employed in information technology consulting firms, information technology research and development firms, and information technology units across private and public sectors, or they may be self-employed.
21222 - Information systems specialists analyze, test, and assess systems requirements, develop and implement information systems, development plans, policies, procedures, and provide advice on a wide range of information systems issues. They are employed in information technology consulting firms and in information technology units across public and private sectors, or they may be self-employed.
21232 - Software developers and programmers design, write, and test code for new systems and software to ensure efficiency. They create the foundations for operative systems and run diagnostic programs to certify effectiveness. They are employed in software, computer, and video game development firms, information technology consulting firms, and in information technology units across private and public sectors.
21230 - Computer programmers write, modify, integrate, and test computer code for software applications, data processing applications, operating systems-level software, and communications software. Interactive media developers write, modify, integrate, and test computer code for Internet and mobile applications, computer-based training software, computer games, film, video, and other interactive media. They are employed in computer software development firms, information technology consulting firms, and in information technology units across private and public sectors.
JOB FUNCTIONS
Software Engineers and Information Technology Associates perform some or all of the following duties:
Software engineers and designers research, design, evaluate, integrate, and maintain software applications, technical environments, operating systems, embedded software, information warehouses, and telecommunications software. They are employed in information technology consulting firms, information technology research and development firms, and information technology units throughout the private and public sectors, or they may be self-employed.
- Collect and document users' requirements and develop logical and physical specifications.
- Research, evaluate, and synthesize technical information to design, develop, and test AI based systems.
- Build, test, and deploy AI models, as well as maintain the underlying AI infrastructure.
- Develop data, process, and network models to optimize architecture and to evaluate the performance and reliability of designs.
- Can navigate between traditional software development and machine learning implementations.
- Plan, design, and co-ordinate the development, installation, integration, and operation of AI based systems.
- Assess, test, troubleshoot, document, upgrade, and develop maintenance procedures for operating systems, communications environments, and applications software using AI development and production infrastructure.
- Apply mathematical techniques to solve problems in scientific fields such as physical science, engineering, computer science, or other fields such as operations research, business, or management.
- Collect, consolidate, cross-tabulate, and format data from various sources to prepare draft reports for review by supervisors or researchers.
- Process data using statistical software to conduct basic analysis of trends in support of research activities.
- Describe, prepare, format, and scale the data infrastructure for analysis and implementation.
- May lead and co-ordinate teams of information systems professionals in the development of software and integrated information systems, process control software, and other embedded software control systems.
JOB REQUIREMENTS
A bachelor's degree or college diploma in Artificial Intelligence.
Recruiters usually seek a person with a diploma in Artificial Intelligence or a related field of study. Majority of IT companies are looking for software engineers with knowledge in building, designing, and testing AI models.
Job openings in the field of Information Technology usually seek a person who has completed a college program or can write efficient version-controlled, AI-related software code. The person should also be able to collaborate on integrating core AI functions into production-ready software. While entry-level jobs ask for no experience or one to two years of experience, higher positions are available once you gain some practical experience in the workplace.
EMPLOYMENT AREAS & PROSPECTS
Completing the Diploma in Artificial Intelligence exposes students to various career fields, predominantly for roles such as software engineer, information systems specialist, information analyst, research analyst, data manager, and data analyst in various IT industries. The technology sector in Canada is growing at a rapid rate, which is allowing for new opportunities to arise in this field.
The job market for graduates with an understanding of artificial intelligence, machine learning, and deep learning in the IT industry is rapidly increasing with more companies integrating artificial intelligence and automation into their operations.
Start your journey in AI careers in Canada and prepare for the growing job market in artificial intelligence and data-driven roles.