Best Artificial Intelligence (AI) Online Courses Specially Designed For Those Of You Who Want To Jump On The Bright AI Career Path

15 Best Artificial Intelligence (AI) Online Courses Specially Designed For Those Of You Who Want To Jump On The Bright AI Career Path

Have you ever seen a machine that can behave like the natural intelligence that humans do? Yup, it is certain that the machine is powered by artificial intelligence (AI).

In this modern era machines are required to be able to do more than expected, such as thinking like humans. Therefore, the demand for people who can program machines to imitate human behavior is sure to increase a lot. One of the most effective ways to increase competence in these areas is to take the best artificial intelligence (AI) online courses.

We can find many implementations of artificial intelligence today. If you see a machine or system that behaves like you if you do the work that system does, then you are looking at an example of applying artificial intelligence (AI).

Artificial intelligence is included in the area of ​​computer science.

There are many different definitions when people define what artificial intelligence is. But of the many definitions that all refer to one perception: Artificial Intelligence (AI) is an ability demonstrated by a machine or system that can imitate human intelligence.

Almost all machines now use artificial intelligence. This is evident from the number of people who think that their lives are now simpler because there are so many “systems” around them that can help human work.

How can a machine be able to complete human work? This means that these machines can behave like humans, and even have the same logic or way of thinking as humans do the job.

Artificial intelligence became an academic discipline in 1955. And since then, the tide of optimism about AI has continued to grow.

However, AI’s journey has also not been smooth. The period was known as the “AI Winter” where disillusionment with artificial intelligence arose so that funds for AI development gradually disappeared.

Again, in 2015 artificial intelligence began to attract global attention.

Fields that refer to AI are also developing to include computer science, mathematics, information engineering, psychology, philosophy, linguistics, and many other fields.

The tools used in AI are also evolving to include artificial neural networks, mathematical optimization, and other methods based on statistics, probability, and economics.

But on the other hand, not everyone likes the existence of artificial intelligence that continues to grow. According to them, the negative side of AI is the emergence of massive unemployment. If human work can be replaced by machines, surely human labor will not be taken into account. However, this wave did not last long because it turns out that now many fields are better done by the system than by humans.

The 21st century is the time of artificial intelligence. In the current era of information technology, the consequences of a data explosion arise. AI is now present as an important part of the technology industry. With AI, many problems in computer science, operations research, and software engineering can be solved.

Disclosure:
We recommend services in this article. We are affiliates of these services, and we only choose products or services that we think are appropriate for this article. We will receive a commission if you make a purchase or upgrade through our link. There will be no additional fees for you.

Basic Artificial Intelligence (AI) concept.

To understand artificial intelligence better, of course, we must first know what concepts are used in AI.

As we already know, the application of AI is now widely encountered in our daily lives. We can see the implementation of artificial intelligence in the medical field, big data, and the most happening right now is the application of AI in self-driving cars.

And it turns out that from the many applications of AI, all of them use the three basic concepts of artificial intelligence (AI), namely machine learning, deep learning, and neural networks.

Some people think that artificial intelligence and machine learning have the same understanding so that they can be interchangeable. However, AI is generally considered a broader term, while the other two concepts are part of AI.

We see roboticsbusinessreview.com as one that can conclude these AI concepts well.

At the machine learning stage, machines are given experimental examples for a particular task. As the machines go through these experiments, the machines will learn and adapt so that they can act according to the purpose for which the machines were built.

To facilitate your understanding, we can take the example of an image-recognition engine. At the beginning of their creation, they were given lots of pictures to analyze. And after repeated and the machine continues to do the same thing, finally, the machine can recognize patterns, shapes, faces, and so on.

While deep learning in AI is the stage where we can make machines to be able to learn more than one specific task.

Still, with the same example as above about image-recognition machines, deep learning here plays a role in making machines able to analyze different data sets, on the basis of what the machine has analyzed from the previous images.

Going forward, in the process of building machines powered by artificial intelligence (AI), artificial neural networks are an advanced part of deep learning that will allow machines to imitate what humans do.

This artificial neural network imitates neurons or brain cells. This artificial neural network is inspired by what we find in our biology.

In a technical implementation, artificial neural networks use the principles of mathematics and computer science to imitate the processes of the human brain so that machines can enable more general learning.

We can already know from a little conclusion how machines are made with this artificial intelligence, the creation of machines or AI-powered systems will involve many stages and work.

In this article, we will not talk about technical things about artificial intelligence, but we will see how we can learn this AI in accordance with AI practices that often occur in the field.

Can we learn AI online?

Yes. We can study artificial intelligence (AI) online. You can get the basic knowledge of AI and you can even learn advanced AI online.

If all you need is an understanding of AI terms or maybe examples of artificial intelligence applications, you can easily just write down what you want to know on a search engine like Google. And in an instant, Google will present a list of information for you, both in the form of literacy and information in the form of videos.

But to get better results, to be able to master AI better, it is highly recommended to take an artificial intelligence course.

And the good news, these artificial intelligence courses, even for advanced levels, can all be done online. Online, you can learn AI anywhere and anytime.

Look for a course provider that is trusted, has a good program, and has a flexible schedule where you can also determine your own schedule so you can learn AI at your own pace.

Does AI require coding?

Yes, AI needs coding.

A machine or system, from ordinary machines then they can have the ability to behave like humans, of course, the machine or system was programmed. They are coded so that they can perform specific tasks, just like how humans do it.

Building an AI-based system will involve many parties. Although it doesn’t only consist of programmers or engineers, it is highly recommended for everyone involved in AI to at least understand programming languages ​​(coding) so that they all have the same view of how a system will be programmed.

If you are someone who wants to have a long career in the field of artificial intelligence, then enrich your competence with coding skills.

What tools should you master for artificial intelligence?

Find out later in the section in this article about Artificial Intelligence (AI) online courses that are proven to be happening in the field.

Which is the best online course for Artificial Intelligence (AI)?

In this section, what will be discussed is the organizer of the online course.

For recommendations on what is best to learn with artificial intelligence online courses will be discussed in the next section after this.

Which Artificial Intelligence (AI) online courses are the best?

We think there are several things to consider when choosing an online artificial intelligence course. Here are the considerations:

  • The most important thing we have to pay attention to is who will be our mentor. Make sure you get an expert mentor with proven experience in the artificial intelligence field. Good and experienced mentors will be able to transfer their skills well to us. And we will also benefit because we can see firsthand how an AI expert does his job.
  • The second thing is that there are real-world artificial intelligence projects that we can work on. Not all course providers provide this service. But if you find one that can provide it, you might consider taking their online course. With real-world projects, we can see how artificial intelligence is implemented in the field.
  • The next point is about the online course schedule. It would be better if you can find a course provider who can provide a flexible schedule.
    It requires special attention if you want to study artificial intelligence. AI is not an easy thing to learn. But if you focus, learning AI is not difficult and can even be fun.
    For someone to be the focus, this will be closely related to the issue of time. Everyone has a different life and daily routine. So we can be sure that everyone will have different free time to learn AI with the aim of getting the best learning results.
    With you being able to determine your own online course schedule, you can learn artificial intelligence at your own pace.
  • And last but not least, look for an artificial intelligence online course provider that has career mentoring facilities. This service is not to promise someone to get a job, but at least if we get direction in career development, our path to a career in artificial intelligence will be easier.

What online courses should we take for Artificial Intelligence (AI)?

There are times when choosing an online course for artificial intelligence is confusing. Especially if they are beginners who want to learn AI.

Don’t be mistaken in determining the topic of the artificial intelligence online course that you will take.

If you are a beginner, then take an online artificial intelligence course that is for beginners. Do not take courses that are for intermediate or advanced levels.

If you choose the wrong one, it could be that your learning process will stop in the middle of the road. And there are many examples, those who stop learning in the middle of the road usually lose their enthusiasm so they no longer continue to study artificial intelligence.

The next tip in choosing artificial intelligence online courses is to choose topics that are currently needed in the field. If you follow these tips, your path to learning artificial intelligence will be faster.

The online artificial intelligence courses that we will recommend in this section will be taken from the Udacity Nanodegree program. We see that Udacity has categorized its online courses on artificial intelligence based on needs in the field. And the good news is that Udacity has most of the services we were referring to in the previous section.

The following are recommendations for artificial intelligence (AI) online courses:

1. Udacity Artificial Intelligence for Trading online course.

As we already know, trading has recently been trending all over the world. Online, people can now trade from anywhere and anytime.

And it turns out that this trading activity involves artificial intelligence.

With the Udacity Artificial Intelligence For Trading online course, you will be invited to complete real-world projects designed by industry experts on topics from asset management to trading signal generation.

By taking the Udacity Artificial Intelligence for Trading online course, you will learn to master special AI algorithms for trading, while also building a career-ready portfolio.

Skills to be learned: Momentum Trading Strategy, Smart Beta, Alpha Factors, Natural Language Processing, Deep Learning, and Neural Networks.

Skill level: intermediate, with an estimated completion time of 6 months.

To get good learning results, it is recommended to have a prior understanding of Python and Mathematics.

2. Udacity Deep Learning online course.

Deep learning is an important concept in artificial intelligence. With deep learning capabilities, AI can become more advanced so that it can change the world.

With the Udacity Deep Learning online course, you will learn to build and apply your own deep neural networks as intelligent solutions to important challenges.

Skills to be learned: Deep Learning, Neural Networks, Jupyter Notebooks, CNNs, GANs.

Skill level: intermediate, with an estimated completion time of 4 months.

To get good learning results, it is recommended to have a prior understanding of basic Python.

3. Udacity Machine Learning Engineer online course.

One of the keys to the successful application of artificial intelligence is the presence of a reliable machine learning engineer.

With the Udacity Machine Learning Engineer online course, you will be guided to become a good engineer, who is able to apply predictive models to massive data sets in fields such as education, finance, healthcare, or robotics.

Skills to be learned: Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning.

Skill level: intermediate, with an estimated completion time of 3 months.

To get good learning results, it is recommended to have a prior understanding of intermediate Python and Machine Learning Algorithms.

4. Udacity AI Programming with Python online course.

Python is one of the most popular programming languages in the artificial intelligence world. Python’s logic that resembles human logic makes this programming language often used for AI development.

With the Udacity AI Programming with Python online course, you’ll learn to lay the foundations for building your own neural network using Python, NumPy, Pandas, Matplotlib, PyTorch, Calculus, and Linear Algebra.

Skills to be learned: Python, NumPy, Pandas, Matplotlib, PyTorch.

Skill level: beginner, with an estimated completion time of 3 months.

To get good learning results, it is recommended to have a prior understanding of basic Algebra and programming knowledge.

5. Udacity Computer Vision online course.

Good computer vision skills have turned out to be the background to success in advanced robotics and automation.

With the Udacity Computer Vision online course, you will learn to write programs to analyze images, implement feature extraction, and recognize objects using deep learning models.

Skills to be learned: Convolutional Neural Networks, Recurrent Neural Networks, Simultaneous Localization and Mapping, Object Tracking, Image Classification, Deep Learning.

Skill level: advanced, with an estimated completion time of 3 months.

To get good learning results, it is recommended to have a prior understanding of Python, statistics, machine learning, and deep learning.

6. Udacity Deep Reinforcement Learning online course.

Deep reinforcement learning is very important to make AI even more advanced.

With the Udacity Deep Reinforcement Learning online course, you’ll learn to master it as well as apply it to robotics or video games.

Skills to be learned: Reinforcement Learning, Neural Networks, PyTorch, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG).

Skill level: advanced, with an estimated completion time of 3 months.

To get good learning results, it is recommended to have prior experience with Python, probability, machine learning, and deep learning.

7. Udacity AI Product Manager online course.

The implementation of artificial intelligence also often occurs in the business world, such as in the field of product management.

Companies are now competing to produce AI-powered products.

With the Udacity AI Product Manager online course, you will learn how to develop AI products that can deliver business value.

In this Udacity AI Product Manager online course, you will gain skills that will make you ready to compete in the AI world.

Skills to be learned: AI Products, Training ML Models, Annotating Datasets, Prototyping a Product.

Skill level: beginner, with an estimated completion time of 2 months.

There are no special prerequisites for taking this online course.

8. Udacity Intro To Machine Learning with PyTorch online course.

By taking the Udacity Intro To Machine Learning With Python online course, you will learn how to build a solid foundation in Supervised, Unsupervised, and Deep Learning, then use those skills to deploy and test machine learning models in the next stage of the production environment.

Skills to be learned: Introduction To Machine Learning, Supervised Learning, Deep Learning, Unsupervised Learning.

Skill level: intermediate, with an estimated completion time of 3 months.

To get good learning results, it is recommended to have a prior understanding of intermediate Python.

9. Udacity Natural Language Processing online course.

With the Udacity Natural Language Processing online course, you will learn the skills of how to make computers understand, process, and respond to human language. In this online course, you will build models with real data, as well as gain experience with sentiment analysis, machine translations, and much more.

Skills to be learned: Machine Learning, Speech Recognition, Sentiment Analysis, Machine Translation, Part of Speech Tagging.

Skill level: advanced, with an estimated completion time of 3 months.

To get good learning results, it is recommended to have a prior understanding of Python, Statistics, Machine Learning, and Deep Learning.

10. Udacity AI For Healthcare online course.

Healthcare is one of the industries that involve a lot of artificial intelligence.

With the Udacity AI For Healthcare online course, you’ll learn how the medical decision-making process can be powered by machine learning to build the treatments of the future. With this online course, you can be at the forefront of the AI revolution in the healthcare industry.

Skills to be learned: Artificial Intelligence, 2D Medical Imaging, 3D Medical Imaging, Electronic Health Record Data, Deep Learning, Wearable Device Data, Supervised Learning.

Skill level: advanced, with an estimated completion time of 4 months.

To get good learning results, it is recommended to have a prior understanding of intermediate Python and having good experience in machine learning.

11. Udacity AI For Business Leaders online course.

As more and more companies or organizations are releasing AI-powered products, the need for business leaders who understand artificial intelligence is also growing.

With the Udacity AI For Business Leaders online course, you will learn to master the foundations of artificial intelligence (AI) so that you can create strategies to implement machine learning technology in your business as well as to leverage the expected growth of the company.

Skills to be learned: Artificial Intelligence, Machine Learning, Business Strategy, Data Labeling, Data Modeling.

Skill level: intermediate, with an estimated completion time of 2 months.

To get good learning results, it is recommended to have a prior understanding of statistics, probability, and having experiences in business.

12. Udacity Intro To Machine Learning With TensorFlow online course.

By taking the Udacity Intro To Machine Learning With TensorFlow online course, you’ll learn how to build a solid foundation in Supervised, Unsupervised, and Deep Learning.

The skills you gain from taking this online course can then be used to test and deploy machine learning models in a production environment.

Skills to be learned: TensorFlow, Deep Learning, Scikit-learn, Supervised Learning, Unsupervised Learning.

Skill level: intermediate, with an estimated completion time of 3 months.

To get good learning results, it is recommended to have a prior understanding of intermediate Python.

13. Udacity Artificial Intelligence (AI) online course.

This online course on artificial intelligence is one of the new ones on Udacity.

With the Udacity Artificial Intelligence online course, you will learn important artificial intelligence concepts from AI experts like Peter Norvig and Sebastian Thrun. In this online course, you will learn about search, optimization, planning, pattern recognition, and much more.

Skills to be learned: AI Algorithms, Search Algorithms, Optimization, Planning, Pattern Recognition.

Skill level: advanced, with an estimated completion time of 3 months.

To get good learning results, it is recommended to have a prior understanding of Algebra, Calculus, Statistics, dan Python.

14. Udacity Machine Learning Engineer For Microsoft Azure online course.

The concept of Azure Machine Learning is not a new thing in the application of artificial intelligence.

With the Udacity Machine Learning Engineer For Microsoft Azure online course, your machine learning skills will be further honed. In this online course, you will build on practical experience by training, validating, and evaluating models using Azure Machine Learning.

Skills to be learned: Azure Machine Learning, Azure Machine Learning SDK, Automation with Pipelines, Automated ML, Machine Learning Operations.

Skill level: intermediate, with an estimated completion time of 3 months.

To get good learning results, it is recommended to have prior experience with Python, Machine Learning, and Statistics.

15. Udacity Intel® Edge AI for IoT Developers online course.

Lead the development of cutting-edge Edge AI applications for the future of the Internet of Things. Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision & deep learning inference applications.

Skills to be learned: Edge AI, Computer Vision, Deep Learning, Edge Computing, AI Modeling, Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), IoT, Intel® Distribution of OpenVINO™ Toolkit, and more.

Skill level: advanced, with an estimated completion time of 3 months.

To get good learning results, it is recommended to have a prior understanding of intermediate Python and also recommended to have prior experiences with Deep Learning, Command-Line, and OpenCV.

Conclusion: Best Artificial Intelligence (AI) Online Courses.

Thankfully we now live in the information technology age.

Our lives are now much easier with a system that can help us as if they are human beings just like us.

If you’ve ever come across systems or machines that can act like humans, then you’ve come across machines powered by Artificial Intelligence (AI).

Machines or systems built with artificial intelligence have been widely applied to large industries such as education, healthcare, self-driving cars, and many more.

This condition makes the demand for people who master artificial intelligence is increasing day by day.

If you are one of those who are interested in technology and are looking for a good career, then you can consider improving your competence in this field in a fairly simple way, namely by taking Artificial Intelligence (AI) online courses.

You are new to the world of artificial intelligence, so start now looking for all kinds of information related to it. If you’re really interested, the best thing to do is to first take free online AI courses. If we can recommend, look for free artificial intelligence online courses covering topics such as the following:

  • AI Fundamentals.
  • Linear Algebra Refresher Course.
  • Machine Learning: Unsupervised Learning.
  • Big Data Analytics in Healthcare.
  • Intro To Descriptive Statistics.
  • Intel Edge AI Fundamentals with OpenVINO.
  • Secure and Private AI.
  • Model Building and Validation.
  • Data Visualization and D3.js.
  • Machine Learning for Trading.
  • Real-Time Analytics with Apache Storm.
  • A/B Testing.
  • And many more.

Are you interested in the topics above? Click here for free artificial intelligence online courses.

For those of you who really want to dive into the world of artificial intelligence, then we recommend taking paid online AI courses. But of course, look for a course that is really good, and you get facilities that can support your success in the world of artificial intelligence.

We have also provided tips on how to choose the best online course provider and also artificial intelligence online course topics that you can consider taking.

So how? Are you ready for a career or a better future with the skills to master artificial intelligence? So make sure you enroll in some of our Artificial Intelligence (AI) online course recommendations above.


References:
Wikipedia: Artificial Intelligence ; roboticsbusinessreview.com

Similar Posts