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Through artificial intelligence, we can give machines the capacity to think and learn for themselves, as you will learn in these top 3 online AI courses. An essential component of AI applications is machine learning, which enables these systems to not only learn as they go but also to solve issues.
What is artificial intelligence (AI)?
The most revolutionary technology of the ten years, according to many experts, is artificial intelligence. Despite being a young technology, artificial intelligence is advancing at an incredible rate and creating a record number of jobs.
A super-intelligent computer army and intelligent robots from science fiction films are frequently the first images that come to mind when people think of artificial intelligence (AI). Even though we're not quite there yet, AI has advanced significantly in other fields.
Most of the modern technology we use on a daily basis includes AI. Amazon Echo, Siri, and Google Assistant all use AI. Additionally, it's utilized in a wide range of products, including chatbots, self-driving cars, Google Translate, and video games.
What qualifications are required for a career in artificial intelligence?
AI Programming
AI Programming is one of the most critical competencies for a career in artificial intelligence. Specialists need to develop strong skills in many programming languages, including Python, R, Java, and C++.
Linear Algebra, Probability, and Statistics
AI specialists need a good working knowledge of linear algebra, probability, and statistics to comprehend and apply the various AI models they work with. Hidden Markov models, Naive Bayes, Gaussian mixture models, and linear discriminant analysis are examples of these models.
Knowledge of Big Data Technologies
AI experts work with enormous amounts of data, which calls for the use of big data tools like Cassandra, Hadoop, Apache Spark, and MongoDB. Therefore, gaining knowledge of these technologies is extremely beneficial for a career in this field.
Knowledge of Algorithms and Frameworks
Individuals working in this field will benefit greatly from having a thorough understanding of how machine learning algorithms work. Examples of these include KNN, Naive Bayes, linear regression, and Support Vector Machine. Frameworks like PyTorch, Theano, TensorFlow, and Caffe must be used in order to comprehend deep learning algorithms and put them into practice.
Communication and Problem-Solving
Strong communication skills are crucial because AI specialists frequently present their ideas to corporate stakeholders. You must also have a strong aptitude for problem-solving if you want to succeed in this field.
What jobs are there in artificial intelligence?
The field of artificial intelligence has many opportunities, we've listed some of the more popular ones below.
- Data Scientist
- Machine Learning Engineer
- AI Architect
- Business Intelligence (BI) Developer
- Big Data Engineer
Why pursue a career in artificial intelligence?
1. 97 million new job roles will be created by AI in 2025 (World Economic Forum, The Future of Jobs Report 2020).
2. 'Machine Learning Engineer’ is #17 in the fifty best occupations in the US (Source: Glassdoor, 2021).
3. The average salary for an AI Architect in the USA is $115,103 (Source: Glassdoor, 2021)
Across industries and job functions, AI can be used in a wide range of use cases. One of the main causes of the rising demand for AI specialists is the sheer number of AI applications. As more and more businesses become aware of the potential of AI, they require experts to guide them through these murky waters.
The time is now to begin acquiring the necessary skills. Learning what powers today's cutting-edge technology is not only rewarding and enjoyable, but it's also well paid.
There are many different learning paths available for those who are interested in learning more about AI. And it's simple to get started if you follow the right steps toward earning a professional certification.
How Do I Get Started in AI?
If you're already investigating AI for a career, then it's likely that your interests are aligned with many of the skills required. You may be a keen mathematician, for example, or a whizz in computer science. Those subjects can provide a great foundation for a career in AI.
However, you won't have every base covered yet. The good news is that isn't a problem. There are so many platforms available to provide artificial intelligence courses. If you've never programmed before, Python - one of the most popular languages used in AI - is easy to learn and easy to use. Plus, if you need to work on your knowledge of statistics, that's fine, you can pick up the fundamentals quickly and easily too.
The Top 3 Artificial Intelligence Courses
1. AI-102: Designing and Implementing a Microsoft Azure AI Solution
2. AI-900: Microsoft Azure AI Fundamentals
3. Python for Data Science, AI & Development
