Course Overview

Discover the power of AI with our ‘AI Essentials’ course. At TBC, we designed this course specifically for forward-thinking professionals like you.

Whether you’re a tech professional seeking to enhance your skillset, a business owner aiming to leverage AI for better operational efficiency, or an enthusiast curious about the potential of AI, this course is for you.

Our ‘AI Essentials’ course delves into the foundational aspects of AI, from machine learning algorithms to practical applications in various industries. You’ll learn how to harness AI tools and techniques to solve complex problems and drive innovation.

Completing this course not only boosts your technical capabilities but also positions you as a leader in the rapidly evolving field of AI. Imagine spearheading AI-driven initiatives that yield exceptional results and set new industry standards.

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Competencies

Course Breakdown

  1. Define Artificial Intelligence, its history, and evolution.
  2. Analyze sector status and AI application requirements in Canada.
  3. Conduct an industry survey that encompasses data from relevant entities.
  4. Identify the differences between Machine Learning and Deep Learning.
  5. Develop a Machine Learning Model.

  • This course provides an overview of artificial intelligence (AI) and machine learning (ML), exploring their diverse applications across various fields.
  • Students will gain an understanding of fundamental concepts such as supervised learning, unsupervised learning, and reinforcement learning.
  • Additionally, the course includes hands-on exercises where students will implement simple ML algorithms, including linear regression and k-means clustering, to solidify their practical knowledge.

  • Ethical considerations in AI development and deployment are critical, focusing on fairness, transparency, and accountability in AI systems.
  • The program covers techniques for identifying and mitigating biases in datasets and models.
  • Additionally, it explores interpretability methods for understanding and explaining AI model predictions.

  • Explore AI applications across various domains, including healthcare, finance, cybersecurity, and autonomous systems.
  • Learners engage in group projects to develop and implement AI solutions for real-world problems. The outcomes of these projects are presented and discussed, highlighting the challenges faced and lessons learned.

  • Delve into data collection, cleaning, and preprocessing techniques essential for AI and ML applications.
  • The program covers exploratory data analysis (EDA) and feature selection methods.
  • Additionally, it introduces tools and libraries for data manipulation and transformation, such as pandas and scikit-learn.

  • The curriculum includes understanding neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and various deep learning architectures.
  • Participants will gain hands-on experience with deep learning frameworks such as TensorFlow and Keras.
  • Projects will focus on applying deep learning techniques to tasks like image classification, natural language processing, and sequence prediction.

  • In-depth exploration of advanced ML algorithms, including decision trees, random forests, support vector machines, and neural networks.
  • It includes practical sessions on feature engineering, model tuning, and performance evaluation.
  • Participants will engage in project work, applying advanced ML techniques to real-world datasets.

Badge

Upon successful completion of a TBC Micro-credential, you’ll be awarded an interactive Moodle badge, acknowledging your achievement in completing the course and mastering new skills and competencies. This badge serves as a dynamic representation to your success, empowering you to showcase it across various platforms, including your LinkedIn profile, résumé, emails, and more, thereby elevating your professional standing.

This badge is interactive. Clicking on it grants viewers access to your comprehensive record, ensuring the authenticity of your training and enabling them to identify the skills you’ve acquired and the course content you’ve mastered.

Available Course Dates

Class Dates Class Schedule Facilitator Number of Classes Enroll Now
October 05 –  October  19
(3 Saturdays )
9 AM – 4 PM
To Be Announced
3 Classes
(18 Hours Total)
Enroll Now
Class Dates Class Schedule Facilitator Number of Classes Enroll Now
November 02 –  November  16
(3 Saturdays )
9 AM – 4 PM
To Be Announced
3 Classes
(18 Hours Total)
Enroll Now
Class Dates Class Schedule Facilitator Number of Classes Enroll Now
December 07 –  December 21
(3 Saturdays )
9 AM – 4 PM
To Be Announced
3 Classes
(18 Hours Total)
Enroll Now
Class Dates Class Schedule Facilitator Number of Classes Enroll Now
January 04 –  January 18
(3 Saturdays )
9 AM – 4 PM
To Be Announced
3 Classes
(18 Hours Total)
Enroll Now
Class Dates Class Schedule Facilitator Number of Classes Enroll Now
February 01 –  February 15
(3 Saturdays )
9 AM – 4 PM
To Be Announced
3 Classes
(18 Hours Total)
Enroll Now