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Artificial Intelligence

Gain an understanding of how to propose, develop, manage and review major aspects of AI - in terms of both planning and development.

Intermediate Level
Artificial Intelligence

What You'll Learn

  • AI Landscape and History
  • Key Domains: Vision, NLP, Robotics
  • Classical AI vs Modern ML/DL

  • Derivatives and Gradients
  • Vectors, Matrices and Tensors
  • Matrix Operations in ML

  • Regression and Classification
  • Model Evaluation Metrics
  • Feature Engineering Basics

  • Relational Concepts and Schema
  • CRUD and Joins
  • Aggregations and Window Functions (intro)

  • Introduction to NLP
  • Artificial Neural Networks: characteristics and use in NLP
  • Text preprocessing and normalization
  • Stemming and Lemmatization
  • Parsing and Part-of-Speech Tagging

What You'll Achieve

This course is designed to give you practical skills and knowledge that employers value

Start the implementation of project with the very important phase of feasibility study.
Develop Data Science and AI while going through key stages of modeling & training.
Design test cases to verify the functionality implemented.

Prerequisites

Basic programming knowledge and familiarity with mathematics/statistics.

Important Dates

Course Launch

Coming Soon

Application Window

TBA

Course Information

Duration: Coming Soon
Schedule: Coming Soon
Fee: TBA
Level: Intermediate Level
Course Features
Expert Instructors
Learn from industry professionals with years of practical AI experience
Hands-on Projects
Work on real-world projects to build your portfolio and gain practical experience
Industry Recognition
Earn certificates recognized by leading Canadian tech companies and employers globally
Career Support
Get job placement assistance and career guidance throughout your journey