Intro to AI, Machine Learning & Deep Learning

Unpack the "Brain" of the operation. Move beyond the buzzwords to understand exactly how Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning ...

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... English
... Certificate Course
... 0 Students
... 00h 00m

Course Overview

In Overview of AI course, we looked at the map; in this course, we look at the engine. This course provides a technical introduction to the three core pillars of modern computing. You will learn that these terms are not interchangeable. Instead, they are like "Russian Nesting Dolls"—one inside the other.

We will explore the Three Levels of AI (Narrow, General, Super) and dive into the mechanics of Machine Learning algorithms and Deep Learning neural networks, using South African examples like wildlife tracking and load-shedding prediction models.

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Course curriculum

Requirment

  • Access to a Desktop, laptop or tablet with a stable internet connection.

Outcomes

  • Map the Hierarchy: Clearly describe the relationship between AI, ML, and DL using Venn diagrams and standard terminology (IAC0101, IAC0102).

  • Classify Systems: Distinguish between Artificial Narrow Intelligence (ANI), General Intelligence (AGI), and Super Intelligence (ASI) (KT0101).

  • Explain "The How": Describe the workflow of Machine Learning—how data is used to train a model (KT0102).

  • Demystify Deep Learning: Explain what a "Neural Network" is and how it mimics the human brain to solve complex problems like image recognition (KT0103).

Instructor

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AI instructor

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  • ... 2 Students
  • ... 4 Courses
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Instructor

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Creston Campher

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    Students

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    language

    English
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    Duration

    00h 00m
  • Level

    beginner
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    Expiry period

    Lifetime
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    Certificate

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