Foundations of AI
AI Technology / General AI

Foundations of AI

From Machine Learning to Deep Learning

2 AIXplorers Enrolled
Beginner
English
This Course Includes:
  • 50m
  • 7 Lectures
  • 3 Downloadable Assets
  • Full Lifetime Access
  • Access On Mobile And Tv
  • Certificate On Completion

Overview

What will AIXplorers learn in this course?
  • By the end of the Foundation of AI course, students will be able to:
  • 1- Understand the basic concepts and terminology of AI, Machine Learning (ML), and Deep Learning (DL).
  • 2- Explore and apply different AI models and algorithms to solve real-world problems.
  • 3- Gain hands-on experience with coding practical AI applications, even without prior programming knowledge.
  • 4- Gain a strong foundation to explore more advanced topics in AI.
What are the requirements or prerequisites for taking this course?
  • The Foundation of AI course is designed for beginners and individuals from any background. There are no prerequisites.
  • All you need is curiosity and a willingness to learn. The course offers practical examples and hands-on experience with real-world problems using code,
  • making it accessible and engaging for everyone.
Who is the course for?
  • The Foundation of AI course is intended for:
  • 1- Beginners who are new to AI, ML, and DL and want to start their learning journey.
  • 2- Students from any field of study looking to enhance their knowledge and skills in AI.
  • 3- Professionals seeking to integrate AI technologies into their work or explore new career opportunities in AI.
  • 4- Technology enthusiasts who are curious about AI and its practical applications in the real world.
Description

Course Content

  • 3 Sections
  • 7 Lectures
  • 50m Total Length
Section 1
AI in Our Daily Lives

In this introductory lecture, we will explore how Artificial Intelligence (AI) impacts various aspects of our daily lives. From personalized recommendations on streaming services to virtual assistants like Siri and Alexa, AI is embedded in many of the technologies we use every day.

Time 05m
Lectures 1
AI in Our Daily Lives
0:05:42
Section 2
AI and Machine Learning

Explore the relationships between AI, ML, and DL. Learn about ML categories with real examples. Discover a customer support scenario with an ML pipeline. Finally, develop a breast cancer detection model using Artificial Neural Networks (ANN), highlighting key features influencing decisions.

Time 30m
Lectures 4
Section 3
Deep Learning and Beyond

We revisit shallow ANNs to understand DL and its excellence in tasks like image recognition and NLP. We'll cover key architectures: CNNs, RNNs, and Transformers, and explore LLMs like those used in ChatGPT. Finally, we compare traditional ML and DL, highlighting their strengths and applications.

Time 14m
Lectures 2

About Tutor

Hanem Ellethy
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Courses 1
Biography

PhD Researcher at The University of Queensland in Australia, specializing in AI for Medical Diagnostics with a focus on Image Processing, Computer Vision, Pattern Analysis, and Deep Learning.

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