With all the publicity around AI and Machine Learning, you may have thought about the practical implementations of these technologies in your career.
You need to have a basic understanding of AI and ML if you want to dive into these career options, whether you plan to start or to think about changing the track of your career.
We would recommend discovering somebody who has done what you are aiming to do. Choose their brains by connecting the people who have done that before and discover how they did it.
Also, do ask them for their recommendations
LinkedIn may be a decent start here. Attempt to connect with somebody in the field and start a discussion – it would definitely help you reach towards your target!
In the case that you need to find out about a novice’s experience from zero learning to dominance, you should peruse the accompanying story on
You don’t need to stress as we have reviewed and made a list of free courses so that you can begin your journey as a newbie in the field of artificial intelligence and machine learning.
We also suggest you to take some of these free courses before you plunge into this field and see whether you are interested in AI/ML.
So Let’s Begin With The List Here –
1. AI Course by Edx
EdX is celebrated for there top to bottom and simple to pursue courses. Their course on Artificial Intelligence is an incredible free online course.
You can enroll here for the course.
This incredible course covers themes on AI applications like mechanical autonomy and NLP, AI (part of AI) calculations, information structures, games, and limitation fulfillment issues.
The 12-week course is an advanced level tutorial from Columbia university available for free online. You can also get an official certificate for a few hundred bucks.
2. Introduction To Deep Learning
This is a course offered by the University of California, Berkeley. It gives a practical introduction to deep learning, and it’s implementation in practice.
This course covers multilayer perceptrons, backpropagation, automatic differentiation, and stochastic gradient descent.
In addition, we present convolutional systems for picture preparing, beginning from the straightforward LeNet to later structures, for example, ResNet for profoundly exact models.
3. Introduction to Artificial Intelligence
This course is developed by Udacity and will help you learn some of the fundamental basics of Artificial Intelligence.
It is a part of their series on the Machine Learning Nanodegree Program and covers a large number of applications of the tech.
It will help you guide through concepts like Bayes networks, stats, and ML and AI applications like NLP, robotics, and image processing.
4. Artificial Intelligence: Principles and Techniques
This free course from Stanford University offers students an opportunity to find out about how AI utilizes mathematics to manage complex issues.
These include things like machine interpretation, speech and face acknowledgment, and even self-driving cars.
The course likewise accompanies a lot of assignments to test your knowledge. It is a that you should have basic knowledge in programming, discrete math, probability before you go ahead.
5. Machine Learning by Stanford University
This ML course is offered by Stanford University, one of the most reputed universities, and with its Machine Learning course, it’s the best in its class.
This course routinely gets incredible reviews, and its syllabus is accurate.
It is instructed by Andrew Ng, who established Google Brain and was the previous lead researcher at Baidu. The course was first propelled in 2011 and covered many, if not all, parts of the AI work process.
The free course requires 5-7 hours of work in a week to finish. You can get a certificate toward the end for a small fee.
6. Intro to Machine Learning
Another incredible free AI course on the web you can read with the expectation of complimentary originates from Udacity. It’s the second most valuable course after Stanford’s course offered on Coursera.
The course structures a part of Udacity’s Data Analyst Nanodegree and runs for around 10-weeks. The course will emphasize on training you on how to deal with data sets using machine learning techniques.
Sebastian Thrun and Katie Malone are the instructors of this course. Pre-requisites are basic knowledge of statistical concepts and Python.
7. Free AI Course By Google
Google offers a free AI course to all its engineers. It is also the top player in this industry so that you can expect an excellent tutorial from Google here.
Google’s machine learning crash course is not too technical. You need to have a foundational understanding of maths, but calculus expertise is not necessary.
Considering the search engine’s credibility, it will surely offer insights to it’s AI used in the search engine functions and overall working.
The complete course is about 15 hours long. It is a detailed course for anyone looking into AI for the first time.