Learn Artificial Intelligence Through These Online Courses

Artificial Intelligence is the guiding star of this era. From technology to large-scale productions everything is controlled by AI these days and is it gains momentum, it has become essential to learn it. So here we are preparing you for the long haul with the right guidance on how to acquire knowledge about AI.

Here are  5 free e-learning courses on Artificial Intelligence:

1. UC Berkeley CS188 Intro to AI

What is it?

Get started with UC Berkeley AI course, this course is absolutely for beginners who are unaware of Artificial intelligence. It doesn’t need any prior computer knowledge to know about AI. UC Berkeley allows anyone to learn this course for free.

Things to learn

This course is systematically presented and consists of the following:

  • Course Schedule
  • Complete sets of Lecture Slides and Videos
  • Interface for Electronic Homework Assignments
  • Section Handouts
  • Specs for the Pacman Projects
  • Source files and PDFs of past Berkeley CS188 exams
  • Form to apply for edX hosted autograders for homework and projects (and more)
  • Contact information

Aside from this, you can also browse the following courses as well from UC Berkeley that are part of AI course:

  • Machine Learning: CS189, Stat154
  • Intro to Data Science: CS194-16
  • Probability: EE126, Stat134
  • Optimization: EE127
  • Cognitive Modeling: CogSci131
  • Machine Learning Theory: CS281A, CS281B
  • Vision: CS280
  • Robotics: CS287
  • Natural Language Processing: CS288

2. Artificial Intelligence: Principles and Techniques

What is it?

This course is offered by Stanford with great content that includes topics, videos, assignments, projects, and exams. The whole course mainly focuses on the complex real-world problems and try to find similarity between web search, speech recognition, face recognition, machine translation, autonomous driving, and automatic scheduling.

Things to Learn

Here you will learn the foundational principles of AI and implement some the AI systems. The goal of this course is to help you tackle the real-world situations with the help of AI tools. So, it is the best for the beginner to get started with AI.

3. Learn with GOOGLE AI

What is it?

Learn with Google AI is an education platform for people at all experience levels, it is free to access and browse content. The education resources provided by Google is from the machine learning experts of the company.

Things to Learn

These resources are the collections of lessons, tutorials, and Hands-on exercises that help you start learning, building, and problem-solving.

4. MIT 6.S094: Deep Learning for Self-Driving Cars

What is it?

This course gives the practical overview of Deep Learning and AI. It is the course for beginners, also for the people who are getting started with Machine Learning. The course also offers a lot of benefits to the experienced and advanced researchers in the field deep learning.

Things to Learn

This MIT’s course takes people into the journey of Deep Learning with the applied theme of building Self-Driving cars. However, the course also offers slides and videos to engage the learners.

5. Fundamentals of Deep Learning for Computer Vision

What is it?

This course is offered by Nvidia and Nvidia Deep learning Institute. Computer Vision is one of the disciplines of AI that acquire, analyze, process, and understand images. The course is completely free and everyone who is enthusiast about AI can access and learn the course. It is a hands-on course that able to provide basics of deep learning and deployment of neural networks.

Things to Learn

With this. you will also learn the following:

  • Identify the ingredients required to start a Deep Learning project.
  • Train a deep neural network to correctly classify images it has never seen before.
  • Deploy deep neural networks into applications.
  • Identify techniques for improving the performance of deep learning applications.
  • Assess the types of problems that are candidates for deep learning.
  • Modify neural networks to change their behavior.

Source: Technotification