Available courses

  • Understanding Artificial Intelligence:
    • Defining AI and its significance in the modern technological landscape.
    • Exploring the history and evolution of AI.

  • Types of Artificial Intelligence:
    • Overview of narrow or weak AI vs. general or strong AI.
    • Understanding supervised, unsupervised, and reinforcement learning.

  • Machine Learning Fundamentals:
    • Introduction to machine learning principles.
    • Exploring supervised learning, unsupervised learning, and reinforcement learning algorithms.

  • Neural Networks and Deep Learning:
    • Understanding the basics of neural networks.
    • Exploring deep learning architectures and their applications.

  • Natural Language Processing (NLP) and Computer Vision:
    • Overview of NLP and its applications, including chatbots and language translation.
    • Introduction to computer vision and image recognition.

Artificial Intelligence did not arrive in 2023 like a lightning bolt. It is not a sudden miracle of code and computation, but the result of decades of steady evolution—rebranded today for commercial dominance.

This is not a battle over jobs. It is a battle over attention, discernment, and the integrity of the human learning process.
AI will not replace human beings. But believing it will could erode the very qualities that make us truly intelligent.

In this course, we will:

  • Trace AI’s real history from its early origins to the present hype cycle

  • Examine the marketing narratives shaping public perception

  • Explore how AI impacts human thinking, creativity, and learning

  • Learn strategies to stay critical and grounded in an age of automation

Let us ensure that in teaching machines to learn, we do not forget how to think.


Pre_requisite:

Artificial Intelligence did not arrive in 2023 like a lightning bolt. It is not a sudden miracle of code and computation, but the result of decades of steady evolution—rebranded today for commercial dominance.

This is not a battle over jobs. It is a battle over attention, discernment, and the integrity of the human learning process.
AI will not replace human beings. But believing it will could erode the very qualities that make us truly intelligent.

In this course, we will:

  • Trace AI’s real history from its early origins to the present hype cycle

  • Examine the marketing narratives shaping public perception

  • Explore how AI impacts human thinking, creativity, and learning

  • Learn strategies to stay critical and grounded in an age of automation

Let us ensure that in teaching machines to learn, we do not forget how to think.


course preview:

Artificial Intelligence did not arrive in 2023 like a lightning bolt. It is not a sudden miracle of code and computation, but the result of decades of steady evolution—rebranded today for commercial dominance.

This is not a battle over jobs. It is a battle over attentiondiscernment, and the integrity of the human learning process.
AI will not replace human beings. But believing it will could erode the very qualities that make us truly intelligent.

In this course, we will:

  • Trace AI’s real history from its early origins to the present hype cycle

  • Examine the marketing narratives shaping public perception

  • Explore how AI impacts human thinking, creativity, and learning

  • Learn strategies to stay critical and grounded in an age of automation

Let us ensure that in teaching machines to learn, we do not forget how to think.