Data Science & Artificial Intelligence
Enter the thriving world of Data Science & Artificial Intelligence with our intensive 44-week program. Whether you’re venturing into a new career path or aiming to advance your expertise, our cutting-edge curriculum will equip you with the skills needed to excel in this dynamic field.
Location
North York
Newmarket
Duration
44 Weeks
Internship
Not Available
Type
Hybrid
Your Future Starts Here!
Program Overview
Our Data Science & Artificial Intelligence program is crafted to empower aspiring professionals with the essential skills and knowledge needed to thrive in this rapidly evolving field. This 44-week program blends comprehensive in-class and online learning, offering a flexible and dynamic educational journey.
Program Highlights
- Hybrid learning model with both in-class and online components
- Hands-on labs to reinforce learning
- Industry-recognized certifications: CEP, and Linux Essential
- Career development and job placement assistance.
- Experienced instructors and a supportive learning environment
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Your Career
Earning a diploma in Data Science & Artificial Intelligence opens up exciting career paths in the rapidly growing fields of data analysis and AI. With this diploma, you can start a journey as a skilled data scientist or AI specialist, leading innovative projects and using cutting-edge technologies. Your diploma is your ticket to a dynamic career in the thriving areas of data science and artificial intelligence, offering many opportunities for success in the tech industry.
Career Opportunities
- Data Scientist
- Data Analyst
- Artificial Intelligence Researcher
- Machine Learning Engineer
- Big Data Developer
- Statistics Officer
- NLP Specialist
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Program Courses
This course provides students with an understanding of AI principles, algorithms, and applications. The course will cover the fundamental concepts of AI and explore best practices for developing, deploying, and managing AI systems. Students will also learn about ethical considerations, societal impact, and the future trends of AI.
This course provides students with a foundation in statistical concepts and techniques essential for data analytics using Python.
In this course, students will develop proficiency in Python programming, essential for data analysis, machine learning, and artificial intelligence applications.
This course is designed to give students a solid foundation in the R programming language. R is a powerful tool for data analysis and visualization, and this course will guide students through its application in real-world scenarios.
In this course, students will gain a deep understanding of databases, their role in modern computing, and the fundamentals of SQL (Structured Query Language), a powerful tool for managing and manipulating data.
This course is designed to teach students the necessary skills to gather, clean, and transform raw data into high-quality datasets suitable for analysis and modeling.
This course provides a comprehensive introduction to the fundamentals of Machine Learning (ML) within the context of Data Science and Artificial Intelligence.
This course is designed to provide students with a solid foundation in deep learning and neural networks. Students will gain a deep understanding of the principles, techniques, and methodologies of deep learning.
This course provides students with an in-depth understanding of advanced machine learning techniques and their applications in data science and artificial intelligence.
This course provides students with an in-depth understanding of the techniques and tools used to analyze, interpret, and manipulate human language data.
This course is designed to provide students with an understanding of Reinforcement Learning (RL) techniques and their applications in the field of Data Science and Artificial Intelligence (AI).
This course is designed to provide students with a solid foundation in Big Data and Cloud Computing, which are essential components in Data Science and AI.
This course provides students with a solid understanding of Linux and Unix operating systems, with a focus on their applications in the field of Data Science and AI.
This course is designed to provide students with the essential tools and strategies needed for managing successful AI projects.
Admission Requirements
1. MINIMUM OF GRADE 12(OSSD) – education or Mature Student status (19 years of age or older and out of school for 1 year or more);
2. ENTRANCE EXAMS – Successful completion of City College Entrance Exams and requirements for the program;
3. Current Resume;
4. ADMISSIONS INTERVIEW with an Education Consultant
5. Meeting with the Financial Aid Officer.
If you are an international student please contact us for more information regarding admission requirements
Approved as a vocational program under the Private Career Colleges Act, 2005.