Best Udemy / Online Machine Learning / Data Science / Artificial Intelligence Courses For Beginners

Artificial Intelligence Courses

In ancient times the Romans used to say a phrase that translated into something like, “One Intelligent person can give birth to a platoon of Intelligent person.” Though the ancient times remain no more Intelligent people sure does. And as we are living in a digital world at the moment spreading and inserting intelligence is not only confined to people but it has rather spread onto machines. This article is going to guide you about all you need to know about artificial intelligence. Everything from what is A.I. to what are some of the best artificial intelligence courses that can be found online. This article has it all! So, don’t worry and stay with us.

What is artificial intelligence?

You might’ve been wondering, Woah! What’s this guy blabbering about! I know what A.I is but I don’t know it properly. How can I learn! Don’t worry, I’m here! Let me explain to you what AI is.  Artificial intelligence is the process where a machine simulates human-level intelligence, Mostly computers. These simulations include learning (Acquiring info and rules), reasoning (reaching conclusions using rules) and self-judging. Some applications of AI include speech recognition and machine vision.

Types of AI

  • Type 1: Reactive machines. In 1990, a computer program called deep blue beat the world champion of that time. Deep Blue identifies chess pieces and makes predictions. Though it has no memory and cannot use past experiences to inform future ones. Deep Blue and ALPHAGO of Google were designed for strict purposes and cannot be applied to another situation unless it’s a do or die one.
  • Type 2: Limited memory. Limited memory systems use past experiences that influence their future decisions. Decisions taken byself-driving cars are designed this way. Observations inform the actions that would happen soon, such as a car changing lanes. These observations are not stored permanently.
  • Type 3: Theory of mind. This psychological term often refers to the beliefs, desires, and intentions of others that impact the decisions made by the AI. This kind of AI does not yet exist.
  • Type 4: Self-awareness. In this last category, AI has a sense of itself and has consciousness. Machines with self-awareness understand their current state. This kind of machine can use information about what others need and believe. This type of AI to does not exist yet.

Why you should learn artificial intelligence:

Imagine this. You walk into your room. You’re tired after a busy day and don’t even have the energy to turn on the T.V. or the fan. So, you command with your voice to turn the fan on. Wouldn’t it be great? This is what AI enables you to do. You have the power in your voice to do anything. Wouldn’t it be great if you could learn how to create AI? All the biggest of biggest companies use artificial intelligence in their technologies, for example, Alexa, Siri of iPhone all are run by the same AI and they are some of the most popular technologies around. So, it’s a no brainer how much a person can earn from joining these advanced companies. And it’s even easier to join these companies now as they prioritize skills more than degrees. Most of the people get fed up easily over the fact that all this learning isn’t taking them anywhere. But what no one realizes is that you need to put in both time and effort before going someplace high. According to a survey conducted by Paysa, an average artificial intelligence engineer earns a minimum of 124,542$ every year with the highest conducted value of salary being 201,853$. And if we add info of other surveys into the list the amount goes up to $257,530! That’s a lot! If that isn’t the best motivation for you, I don’t know what is. Machine learning isn’t hard at all and in the next part, I’ll explain why I believe Online courses to be better than offline ones.

How online courses are better than offline courses:

A frequently asked question is how an online course is better than an offline one? The reason why I believe an online course to be better is that you can be able to access it anytime anywhere. Opposed to if you miss an offline course there’s no assurance that you’ll be able to learn that again. Through an online course, you will get better teaching from experts in the comfort of your own home. Also paid courses are much better in terms of the content they provide. For example, in these courses, the topics are very much detailed and created from a learner’s perspective. So that the learner doesn’t feel left out in any sense. On the other hand, a free course on the internet might give you topics to learn but they are much tedious to put together and not thoroughly detailed to satisfy the viewer. That’s why online courses are much better and adds more to value when it comes to its price.

For whom are these courses and what do they offer?

Now the most important question of all, why should I buy these courses? The Udemy artificial intelligence courses help out everyone related to Machine learning. From a fresher who’s just taken interest in learning python to an industry veteran trying to learn new things along the way, these courses were designed for everyone so that the individual who would watch these videos would make himself capable of working in established companies like Google, Apple, etc. This course not only offers you video tutorials but also provides you with projects to develop your skill tree.  You can go over the lectures as much as you want and practice the projects to the point you can tell how to code it by simply looking at it!

I’m going to give you an example of what are the things that you should be able to do if you finish your courses.

  • Working as a freelance developer
  • Learning to write bug-free codes and codes that perform.
  • Learn the fundamental concepts of Artificial Intelligence
  • Master modern machine learning with artificial intelligence and fundamentals along with advanced topics
  • Learn modern techs that are being used by the topmost companies.

With that being said now let’s dive into the four-course we’re going to talk about today.

Machine Learning A-Z: Python & R In Data Science

A duo of genius minds created the best possible tutorial of machine learning that has been made available on the internet through Udemy. This course has a decent amount of data science and machine learning topic. It is enriched with concepts ranging from data processing to complex topics like dimensionality reduction. Surprisingly this course can be learned by anyone! Yes, you read that right! Anyone. All you need is to have a clear concept of high school mathematics and you’ll be good to go. Unlike most courses, this course has been separated into different parts for the viewer to understand each topic clearly and attain overall expertise. This course also provides you with as long as 41 hours of video lecture and 31 different articles. This course gives you a good idea over machine learning on Python courses and R. This course also ensures that the learner can make diverse machine learning models. Perhaps the most interesting part of this course is the way it teaches to handle advanced topics like dimensionality reduction. And the most positive thing about this course is that it makes sure that a person with limited knowledge of math can finish the course.

Requirements: This course doesn’t require much. But it requires that you have a basic knowledge of high school math.

Topics to learn: Though there are a lot of things you’ll learn, here a few of the highlights of the package.

  • Handling dimensionality reduction
  • Building powerful machine models and combining them.
  • Handling specific topics such as Reinforcement Learning.
  • Learning machine models to solve different problems.

Buyers Feedback:

  • Bestseller
  • 495,925 enrollments
  • An average rating of 4.5 stars from over 98,800 ratings
  • Over 50% of 5-star reviews.

Data Science: Deep Learning in Python.

This course was created by the people at Lazy programmer.inc and is one of the hottest talking points of the A.I world right now. This course not only teaches you but also lets you create a neural network from the ground up. I also need to mention the fact that how easily it enables someone to get into the artificial intelligence world. Deep learning is used through many layers of interconnected neural networks. One of the things that I learned from this course is that Google’s tensor flow is a severely underrated open-source learning framework that you can integrate into your future projects. Through this course, you’ll be able to describe various terms related to neural networks. The biggest takeaway from this is perhaps the various uses of TensorFlow. Unlike other courses on this list, this course requires you to have basic knowledge on a couple of things. Familiarity with logistic regression and partial derivatives is a must. Python and Numpy are the souls of this course. 

Requirements:

  • Basic Math (Calculus, Matrix, and probability)
  • Python and Numpy
  • Basic knowledge of logistic regression such as Cross-entropy cost, gradient descent.

Topics to learn: Though there is a lot to learn I’ll just put out the highlights

  • Learning to code a neural network with Python and Numpy
  • Coding a neural network with Tensorflow
  • Learning how the neuron of the neural network is built.
  • Deriving the backpropagation rule.

Buyers Feedback:

  • This course has over 38,500 students enrolled.
  • It has a rating of 4.6 stars out of 5 from over 5,500 users.
  • It has a total of 65% perfect 5-star reviews.

Artificial Intelligence A-Z: Learn How To Build An AI

A.I. learning itself sounds like an interesting topic now think what if you could make one? Yes, you’ve guessed it. This course allows you to not only learn the tad-bits of A.I but also allows you to tap into the world of A.I creation. This topic is very ambitious on itself and add the knowledge of learning A.I to that to get a solid mixture of interesting learning topic! So much so that by the end of this course you get a tight grasp over reinforcement learning. The best part about this is the course itself requires very little to get started. You just need basic knowledge of math and Python to divulge into the world of A.I. This course also lets you build A.I. for a real-world practical scenario, for example, a self-driving car. You will also learn about merging A.I. with Open A.I gym which is always a spectacular thing to learn about.

Requirements:

  • High school Math
  • Basic Python knowledge

Topics to learn: Here I’ll mention some of the highlighted topics of this course.

  • Building an A.I.
  • Making A virtual A.I driven car
  • Making A.I. to solve various problems
  • Getting a good hand over A3C and Q-learning

Buyers Feedback:

  • Bestseller
  • Over 107,423 enrollments
  • An average rating of 4.3 stars out of 5 from over 12,500 ratings
  • Over 50% perfect 5-star reviews.

Verdict:

No matter what we say and do, at the end of the day, you want things that you might get the value for every dollar you pay. We care for your hard-earned money and that’s why these courses were suggested mainly keeping your journey into this vast world of web development in mind. These courses are a must-have for anyone who wants to break into the world of web development. I can assure you that this will be the best investment you’ll ever make!

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