We are enrolling new students for upcoming programs and courses via phone, SMS, online and email while our physical campuses are temporarily closed due to Covid 19. Our students are continuing their education through online interactive instructor led virtual classes and getting ready for the employment in the field of study.

Artificial Intelligence

Learn about knowledge representation, reasoning, and decision making. Build your technical skills towards problem solving using models in Artificial Intelligence.

Artificial Intelligence Diploma Course in mississauga, brampton, toronto

Our AI program provides an introduction to Artificial Intelligence and its broad discipline of intelligent agents and their use in building intelligent machines. It covers heuristic search issues, planning, game playing, reasoning with propositional and predicate logic, reasoning under uncertainty, and applications. It presents algorithms such as hill-climbing, dynamic programming, and best-first search.

Students also learn about knowledge representation, reasoning, and decision making under uncertainty. It also covers the relationship between probability theory and logic by discussing probabilistic reasoning, with a focus on Bayes’ Theorem and to apply inference and resolution in propositional and first-order predicate logic.

KNOWLEDGE & SKILLS GAINED

Artificial Intelligence students will understand the foundations of agents, and their working environment, along with various search strategies. They will also learn the key concepts in designing and delivering innovative AI solutions. They will be able to identify proper AI models to be used in order to improve model accuracy and efficiency.

The program introduces data analysis libraries in python and will gain experience in querying, cleaning, processing and manipulating data. Students will get hands-on experience in various algorithms in Artificial Intelligence and the project work will build your technical skills by providing a methodoligical approach towards problem solving using models in Artificial Intelligence.

NEXT PROGRAM START DATES

Call for Online Schedule
START DATE END DATE DAY TIMING CAMPUS STATUS REGISTER
July 13, 2020 November 2, 2020 MON, TUE, WED, THU, FRI 9:00 AM - 2:00 PM Mississauga - Malton Campus Register Now
View All Schedules
Contact us directly for other start dates
Seats Available
Limited Seats
Class Full

PRE-REQUISITES: Computer Knowledge

PROGRAM OUTLINE

Professional Skills - Trains on interpersonal skills required for successful induction and working in professional world.

Project +  - This CompTIA training course helps you to prepare for CompTIA Project+ exam.

Introduction to Programming  - This instructor-led course is intended for students who want to learn how to write Python code that logically solves a given problem.

Database Fundamentals  - This MTA Training course helps you prepare for Microsoft Technology Associate Exam 98-364, and build an understanding of these topics: Core Database Concepts, Creating Database Objects, Manipulating Data, Data Storage, and Administering a Database.

Statistical Inference - The course introduces the fundamental concepts for understanding statistical analysis and its use in testing hypothesis and exploratory data analysis.

Mathematics for AI and ML  - The course 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 - This course will introduce the concepts of data processing, wrangling, manipulation, transformation, and operations on data using Pandas Library.

Data Visualization - This course will provide the necessary skills to interpret and present data clearly and visually appealing using Python libraries.

Principles of Artificial Intelligence - The course 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  - This instructor-led course introduces the core concepts of Artificial Intelligence with a focus on probabilistic modeling and decision making under uncertainty.

Capstone Project for AI  - This capstone project provides a hands-on learning experience for students to work independently on a specialized topic from Artificial Intelligence.

WHY THIS PROGRAM?

Earning a Diploma in Artificial Intelligence opens doors to a vast array of opportunities in IT industry. This diploma consists of 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 in industry and can collaborate towards problem solving using models of Artificial Intelligence.

LEARNING STEPS TOWARDS OTHER SIMILAR PROGRAMS

Steps to Obtain PG Diploma in Artificial Intelligence and Machine Learning

ASSOCIATED NATIONAL OCCUPATION CLASSIFICATION (NOC) CODES

After earning a diploma in Artificial Intelligence and Machine Learning, graduates are eligible for positions falling under the following NOC Codes

2173 - 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.

2171 - Information systems analysts and consultants analyze and test systems requirements, develop and implement information systems development plans, policies and 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 throughout the public and private sectors, or they may be self-employed.

2174 - 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 throughout the 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 the solution of 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 analyses 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.

Job openings usually seek a person with diploma in Artificial Intelligence or have studied related fields of study. Since majority of the IT companies are looking with 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 college 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 experience, higher positions can be sought for once you gain some practical experience in the actual workplace.

EMPLOYMENT AREAS & PROSPECTS

Completing the Diploma in Artificial Intelligence exposes students to various fields for hire, predominantly for software engineers, information systems, information analysts, research analyst, data management, and data analysis in various IT industries. The technology sector in Canada is growing at an expansive rate which is allowing for new opportunities to arise in this field.

The job market for graduates with understanding in artificial intelligence, machine learning and deep learning in IT industry is projected to grow 56% in the next few years and create new jobs as the number of companies expanding their IT departments, are growing.

  • facebook icon
  • facebook icon
  • twitter icon
Duration 16 Weeks - Full Time
Campus Mississauga - Malton
Course Fees Contact Us
Faculty IT
Course Level Intermediate
Features In Class, Assignment
Language English

Quick Application Form









Call Now
CIMT College - Mississauga, Brampton, Toronto, Scarborough - Celebrating 20 Years

Careers Start At Cimt College - Mississauga, Brampton, Toronto

AFFILIATED PARTNERS

Our Affiliated Partners