How to work with artificial intelligence? 9 areas to work
Do you know how to work with artificial intelligence? The technology sector has experienced significant growth in recent years and is undoubtedly one of the hottest fields in the economy today. In addition, it is also the sector that offers the largest number of vacancies for well-qualified professionals. With the advent of artificial intelligence, new opportunities to work are emerging every day.
Being a booming sector, artificial intelligence demands a large number of highly qualified professionals, among them software engineers, data scientists, and even specialists in machine learning. These professionals play key roles in developing innovative artificial intelligence solutions.
If you are passionate about technology and want to attend college to train yourself and work with artificial intelligence, this article is for you! Here, you will find all the information about what you need to study to enter this constantly expanding segment.
How to work with artificial intelligence? What do I need to do?
The field of artificial intelligence is gigantic and requires professionals with training in different areas, who have technical skills and specific knowledge to work in this area of technology.
To become a qualified professional in artificial intelligence, it is necessary to be curious and willing to study, in addition to seeking specialization in one or more areas of computer science knowledge, such as programming, mathematics and statistics, and databases, among other specializations.
In addition, it is essential that these professionals have in-depth knowledge of machine learning algorithms, neural networks, and natural language processing systems, among other disciplines that can be highly advanced.
If you are interested in this area of programming, be sure to also read this article about the best online programming courses.
What to study to qualify for artificial intelligence?
For those looking to become an artificial intelligence professional, the market offers several course options that can help acquire the necessary skills to enter this area of AI. Among the available options, we highlight graduations in Computer Science, Software Engineering, and Mathematics.
A degree in Computer Science is the foundation for any artificial intelligence professional. The course covers areas such as programming, algorithms, data structures, operating systems, computer architecture, and artificial intelligence.
Software Engineering is focused on the development of systems and applications. The course covers areas such as programming, software engineering, requirements analysis, software testing, and project management.
See now what the main graduations required by companies when hiring a professional for this area. Studying any of them can qualify you to develop, for example, tools to create images with artificial intelligence.
Computer Science
The Computer Science course is a graduation that prepares students to work in the area of information technology, developing software solutions and computing systems for various tools and applications.
Professionals trained in Computer Science are trained to work in the areas of software development to IT project management. They can work in technology companies, startups, and financial institutions.
In addition, computer science is an area that has accompanied the accelerated development of technology and digital transformation in various sectors of the economy. For this reason, professionals with a background in computer science are highly valued by the job market, with a growing demand for specialists in artificial intelligence.
Computer Engineering
In the Computer Engineering course, students acquire knowledge to design, develop, implement, and maintain systems. The course has a solid foundation in mathematics, and it is important that students have an affinity for this discipline if they want to progress in this area.
In addition, students also learn about physics, electronics, programming, computer architecture, networks, operating systems, and microprocessors, among other specific knowledge.
It is worth noting that the Computer Engineering course goes beyond theory, offering students the opportunity to put into practice what they have learned through activities and projects that simulate real-world challenges. In addition, the course encourages its students to seek an internship in technology companies while completing their graduation.
Software Engineering
In Software Engineering, students learn to apply engineering principles in software development. The course addresses both the theory and the practical part of the software creation process, from the conception phase to the completion of the final product.
In Software Engineering, students will have contact with various disciplines such as systems modeling, programming, project management, user interface development, software architecture, and component engineering, among other advanced knowledge.
The software engineer is a professional qualified to deal with all parts of software development. To be successful in this area, it is necessary to have a series of extra qualities, such as knowing how to work in a team, having objective and clear communication, and being able to solve complex problems quickly.
With this training, you will be able to work with the most varied types of artificial intelligence.
Mathematics and Statistics
In a Mathematics and Statistics course, students learn all about the fundamentals of mathematics, from its history to abstract concepts. The student will study subjects such as number theory, algebra, calculus, geometry, probability, and statistics. In addition, students will also be trained to use tools such as advanced calculators, statistical software, and programming languages.
It is important to say that the Mathematics and Statistics course is a graduation that requires dedication, a taste for studying exact sciences, and a genuine interest in the area. It is essential that the student already has some affinity with mathematics and demonstrates good logical reasoning and analytical skills.
Database
With the ever-increasing importance of data in the digital age, a database degree provides students with an essential skill set for working with database systems.
In the field of information technology, these systems are fundamental for information management in companies, organizations, and governments, providing an efficient and secure means of storing, managing, and accessing critical data.
When studying databases, students are exposed to a variety of disciplines that include, for example, data modeling, which involves creating visual representations of database structures; the SQL language, which is one of the main tools for working with databases.
In addition, there are other important courses in this degree, including query optimization, systems administration, and data security and privacy.
Information Security
The Information Security course is offered by several teaching institutions around the globe, both in person and for learning from home. In general, the course is considered technical and lasts for two years, although the term varies according to the educational institution, and can reach up to four years.
The disciplines taught during the course cover several areas of computer science, such as programming and databases. The course also covers even more specific topics such as cryptography, blockchain technology, risk management, and compliance.
The Information Security specialist is the one who manages the protection and security of data in computer networks installed within companies, for example. Its job is to prevent unauthorized access, theft of information, and fraud, among other cyber crimes.
Are there free artificial intelligence courses?
When you think about how to work with artificial intelligence, one of the questions that come to mind is: are there free courses? Currently, there are several options for free courses available for training in the area of artificial intelligence. Google, for example, offers a wide range of free courses focused on machine learning. These courses range from the basics to the most advanced. Who knows, maybe you’ll create the next ChatGPT from one of these courses.
The search technology giant has launched an educational website exclusively for those interested in learning and preparing for the professional market in the artificial intelligence sector. The most basic content is more beginner-friendly, with simple machine-learning exercises.
Another interesting option is Udemy’s free courses. Among the most accessed are courses on the fundamentals of artificial intelligence, programming logic, databases, and introduction to algorithms, in addition to many others.
However, for those who speak English fluently, there is a wider range of options on the internet. Among them, it is worth mentioning the free courses on AI at the Massachusetts Institute of Technology (MIT), one of the most renowned institutions of higher education in the world.
How much does an artificial intelligence professional make?
Professionals working in the area of artificial intelligence can have very different salaries, however, within the field of computer science, this area is considered one of the highest paid.
Another factor that can influence the salaries of artificial intelligence professionals includes the level of academic and practical experience. Professionals with more experience and advanced skills in this area generally receive higher salaries than those who are at the beginning of their careers.
In addition, company size can also play a role in salaries. Larger, more established companies often offer more competitive compensation and additional benefits, such as health plans and professional development programs. If you want to check out possible salary prospects, we suggest you go to Glassdoor to have an idea!
Highest-paid areas of artificial intelligence
Within the job market, there is a great demand for professionals who know how to work in the field of artificial intelligence, with several vacancies available in companies that develop AI solutions. Below, we present some of the main positions for professionals in this sector:
Project Manager
This person is responsible for leading and overseeing projects related to the implementation of AI systems in an organization. Your role involves multiple tasks, including managing the project’s scope, its budget, and coordinating the work team.
Data Scientist
It is the professional who collects, analyzes, and interprets large sets of data in order to obtain information that helps in decision-making. Some of the main activities performed by a data scientist include data analysis and collection, and data modeling, among other duties.
Robotics Specialist
It is a professional who needs to have skills in mechanical engineering, electronics, and advanced computing. In their daily work, they will develop and implement robots and robotic systems in industries mainly.
Machine Learning Engineer
This professional is responsible for working on the development of machine learning systems and algorithms. Their main activities include algorithm development, machine training, and model deployment.
Specialist in Natural Language Processing
This specialist works with the development of algorithms that allow computers to understand and process the natural language of human beings. Among their daily activities are text and voice processing, as well as training and deployment of natural language processing models.
Data Architect
This professional works with the development, implementation, and maintenance of data management systems in an organization. Among their attributions are the creation of projects, and the implementation of solutions, in addition to the management and maintenance of data.
Software Developer
It is who works in the development of new software based on artificial intelligence. This professional is responsible for several tasks, including the development of AI algorithms. In addition, they are responsible for monitoring and maintaining these systems.
Security Analyst
This is the specialist qualified to identify security risks and potential threats related to artificial intelligence systems. They are the ones who will develop security strategies and perform security testing on new applications or AI tools before they are released to the public.
Business Analyst
This is the professional who identifies and implements artificial intelligence solutions that improve business processes and companies. Specifically, their key roles may include identifying business opportunities, identifying market patterns and insights, and assessing the impact of AI solutions on people’s daily lives.
Are you more enlightened about working with artificial intelligence? There are many job opportunities available to those who specialize in artificial intelligence. With dedication and study, it is possible to acquire the necessary skills to enter this area in growing expansion in the technology market.
