Artificial intelligence courses.. everyone will understand it no strange anymore with these courses
Artificial Intelligence is the key skill of the future, and many estimates indicate that by 2030 the artificial intelligence market will contribute more than $15 trillion to the global economy, yet until the second decade of the third millennium there is still a significant shortage of manpower capable of dealing with Artificial intelligence and its development.
So learning the principles of this vital field certainly guarantees a perfect job in the future, as for those actually working in it, acquiring new skills increases career advancement, success, and business continuity. So we offer the best Artificial Intelligence courses that make it understandable for you to practice soon.
Artificial intelligence courses.. everyone will understand it no strange anymore with these courses
Best artificial intelligence courses
Machine Learning Course from Stanford University
It is an online course offered by Stanford University and taught by Andrew N. G., one of the most famous experts in artificial intelligence and machine learning and the founding leader of Google’s Deep Learning Research Unit and Google Brain.
More than 3.5 million students, professionals, and hobbyists around the world have benefited from the ML course, with 93% of them giving it a 5-star rating.
It teaches you the basic ideas of machine learning, data formation, and statistical pattern recognition, and increases your expertise in the fundamentals of mathematics, statistics, and computer science that are the foundation of machine learning.
One of the advantages of the course is that it is very intensive, in just 55 hours spread over 11 weeks, you will find yourself familiar with many aspects of artificial intelligence such as:
- linear algebra
- Linear regression with single and multiple variables
- Logistic regression and its applications
- Support trend of machines
- neural networks
- Backpropagation algorithms for neural networks
- Detecting defects
- Best practices for applying machine learning
The course uses the open-source programming language Octave, which is one of the very simple ways to learn the basics of machine learning, and there are practical applications for designing smart robots in terms of perception, control, understanding of texts, anti-spam, medical information, database extraction, and others.
In this course, you will learn about the most effective machine learning techniques with training in their use, learn about best practices in Silicon Valley, and gain scientific knowledge to quickly apply AL technologies. And study the course for free with the option of a paid certificate to prove your skill in AI grammar.
- To register for a machine learning course, click here.
IBM Applied AI Professional
A training course sponsored by IBM, a technology leader and one of the pioneers in innovation in the field of artificial intelligence and this course is directed to those who want to learn the skills necessary to work as developers in this field.
It gives you a solid understanding of machine learning, its applications and use cases, understand data science, natural language processing, and image classification and processing, and students learn to use pre-engineered AI without having to re-create new models.
A beginner-level AI certificate consists of 6 courses and trainees with a non-technical background can also benefit from it.
This course offers 6 courses, some of which are completely general and everyone can apply to and understand, and some of them need those who have a software background, These courses offered IBM are:
- Introduction to Artificial Intelligence No programming knowledge required.
- The basics of artificial intelligence.
- Getting started with artificial intelligence.
- Design AI chatbots without programming by implementing, testing, and deploying AI chatbots on a website.
- A Python course for building and deploying artificial intelligence applications, Python for Data Science and AI. It covers the basics of Python including data structures and data analysis with integrated exercises.
- Introduction to Computer Vision with Watson and OpenCV In which trainees understand computer vision and its applications and classify data using the Watson, Python, and Open CV programming languages.
At the end of these courses, students acquire the skills necessary to design AI-powered applications and get training in Python, which is one of the easiest open source programming languages, IBM Watson AI services, and APIs.
These courses extend from 3-6 months at a rate of 2-4 hours per week.
- To register for the IBM Artificial Intelligence course, click here.
Reinforcement Learning in Python
These are Udemy’s online courses that offer an astonishing array of insights into both behavioral psychology and neuroscience and are the closest thing globally to the idea of real and general AI so far.
This course is one of the best courses ever in the reinforcement learning factor. It gives applicants an introductory guide to AI-free reinforcement learning and provides an in-depth look at technologies in the field that cannot be seen through traditional machine learning.
It is most suitable for those who already have prior knowledge of the basic and technical aspects of AI and who wish to understand reinforcement learning in greater depth and accuracy.
Since the course is advanced in level, students are expected to study calculus, probability, object-oriented programming, Python code, Numpy code, linear regression, gradients, and more.
The course covers in detail:
- Dynamic programming
- Learn the time differences between action and response
- Moving averages calculation methods
- Approximation methods or how to connect deep neural networks
- Building name trading bots and methods for designing artificial intelligence for games
This course will help you understand the relationship between psychology and reinforcement learning, how to apply various machine learning methods, and implement 17 different reinforcement learning algorithms. The course duration is 12.5 hours via on-demand videos.
- To register for the Artificial Intelligence: Reinforcement Learning course, click here.
Artificial intelligence nano programs
It is a course developed by Udacity, which offers many nano-degree courses at its School of Artificial Intelligence. These are highly intensive and focused programs as a precursor to courses at a deeper level, usually offered in partnership with universities or large and start-up companies.
It is considered one of the most distinguished courses for those wishing to get a job in the field of artificial intelligence, as it focuses on professional life and how you can increase your experience in your current job, all within 8-10 hours per week.
The course is characterized by several levels and a test at the beginning to determine the required level, is it for beginners or professionals, to start a set of integrated programs that focus on practical life with artificial intelligence.
The course includes:
- Create high-quality data sets and scale AI products.
- Introduction to machine learning with TensorFlow, covering basic machine learning algorithms.
- Programming artificial intelligence using Python language with a lot of programming tools.
- Tradable Artificial Intelligence This part covers the basics of quantitative analysis including data processing, trading signal generation, and e-portfolio management.
- Computer vision, covering computer vision, deep learning techniques via basic image processing, neural network customization, mapping, and more.
- To register for AI nano-programs, click here.
Introduction to TensorFlow
And TensorFlow is an open-source digital library launched by Google in 2015 to provide various models of artificial intelligence and how to develop and learn it, and this course gives you the basic principles of dealing with this giant library in an open framework to always determine the right time for you to learn and support your experience.
It is suitable for developers who have experience with Python and some knowledge of machine learning and deep learning and who want to build scalable algorithms powered by AI technology.
The course consists of 4 weekly modules that take students from the basic level to the mastery of Tensorflow, and cover the following topics:
- Introduction to what machine learning and deep learning are.
- Introduction to computer vision.
- Coding a neural network for computer vision.
- Introduction to Convolutional Neural Networks.
- Dealing with complex photorealistic images.
At the end of the course, applicants will gain practical skills to come up with scalable solutions to determine how AI works in real life.
- To apply for the TensorFlow course, click here.
Why is it important to take artificial intelligence courses?
We see AI in everything around us, whether in healthcare, finance, mobile phones, cars, and smart home appliances, as well as retail, music and entertainment services, security services, fraud detection, and even virtual reality games, among others.
There is an infinite number of fields that artificial intelligence enters, which is increasing daily, and after it was limited to scientists and inventors only, learning and understanding this field has become available to everyone, although it is not very easy.
But at a low cost and with a degree of focus and a desire to learn, you can enter one of the most available areas of work in the next 50 years with a huge financial return and limitless advantages.
Artificial intelligence courses.. everyone will understand it no strange anymore with these courses
