Dec 13 2022

AI for beginer: Where to start

Annet Jepper

Career Advice

AI can be a difficult field for beginners to get into, as it involves a range of complex concepts and techniques. However, with the right resources and guidance, anyone can learn the basics of AI and start exploring its many applications.

Some background knowledge that can be helpful for studying AI includes:

  • A strong foundation in mathematics, particularly calculus and linear algebra.
  • Familiarity with programming languages, such as Python or Java.
  • An understanding of algorithms and data structures.
  • Knowledge of probability and statistics.
  • A basic understanding of machine learning and artificial neural networks.
  • Familiarity with computer science concepts, such as data mining and natural language processing.
  • Having a background in these areas can provide a useful foundation for studying AI and help you understand the underlying principles and techniques used in the field. However, it is not necessary to have expertise in all of these areas in order to start learning about AI. Many courses and tutorials are available that can help you build the necessary knowledge and skills.


Here are a few courses that may be useful for beginners looking to learn about artificial intelligence (AI):


1. Introduction to Artificial Intelligence - This course, offered by Stanford University on Coursera, provides an overview of the fundamental concepts and techniques in AI. It covers topics such as search algorithms, game playing, logical reasoning, and machine learning.


2. Artificial Intelligence for Robotics - This course, offered by Georgia Institute of Technology on Udacity, focuses on the application of AI in robotics. It covers topics such as robot localization, path planning, and decision-making.


3. AI for Everyone - This course, offered by deeplearning.ai on Coursera, is aimed at non-technical individuals who want to learn about the basics of AI. It covers topics such as the basics of machine learning, the ethical considerations of AI, and how AI can be used in various industries.


4. AI Foundations for Everyone - This course, offered by IBM on Coursera, is designed to provide a broad introduction to AI. It covers topics such as machine learning, natural language processing, and computer vision.


5. AI Programming with Python - This course, offered by Deep Learning Institute on Udacity, teaches the basics of AI programming using the Python programming language. It covers topics such as neural networks, natural language processing, and computer vision.

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