Welcome back, AI explorers.

AI is revolutionizing industries and opening up new possibilities in technology. Whether you're a beginner eager to learn the basics or an enthusiast looking to deepen your knowledge, there are fantastic free courses available to help you learn. These courses, offered by top institutions, cover a wide range of topics from foundational principles to advanced techniques in machine learning and deep learning. Best of all, they are self-paced, allowing you to learn at your own convenience.

Let’s explore the top 5 free AI courses perfect for binge-learning.

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Top 5 FREE AI courses for beginners

1

Deep Learning Specialization by deeplearning.ai (Coursera)

• Description: Created by Andrew Ng, this specialization consists of five courses that cover the foundational aspects of deep learning. It's ideal for those who want a comprehensive, structured path to mastering deep learning.

• Key Topics:

  • Neural Networks and Deep Learning

  • Improving Deep Neural Networks

  • Structuring Machine Learning Projects

  • Convolutional Neural Networks

  • Sequence Models

• Duration: 5 courses, approx. 3 months (5-7 hours per week)

2

Machine Learning Crash Course by Google

• Description: Google's Machine Learning Crash Course provides a solid introduction to machine learning through interactive visualizations and hands-on coding exercises using TensorFlow.

• Key Topics:

  • Machine Learning Concepts

  • TensorFlow APIs

  • Data Preparation

  • Model Training and Evaluation

• Duration: 15 hours (self-paced)

3

Elements of AI by University of Helsinki

• Description: GAimed at demystifying AI, this course provides accessible explanations and practical examples. It’s suitable for anyone interested in AI, regardless of their technical background.

• Key Topics:

  • Basics of AI

  • Neural Networks

  • Machine Learning

  • AI Problem Solving

• Duration: 6 weeks (approx. 5-10 hours per week)

4

Introduction to Artificial Intelligence with Python (Harvard online)

• Description: This course by HarvardX teaches foundational AI concepts and practical applications using Python. It covers algorithms and libraries to get you started on your AI journey.

• Key Topics:

  • Search Algorithms

  • Knowledge Representation

  • Optimization

  • Machine Learning

  • Neural Networks

• Duration: 7 weeks (self-paced)

5

Fast.ai Practical Deep Learning for Coders

• Description: This course focuses on practical aspects of deep learning and is designed to get you up and running with building models quickly. It emphasizes hands-on coding and real-world applications.

• Key Topics:

  • Building and Training Neural Networks

  • Convolutional Networks

  • Natural Language Processing

  • Deployment of AI Models

• Duration: 7 weeks (self-paced)