which path to choose in artificial intelligence?

Since its appearance, artificial intelligence has revolutionized many sectors of activity. Thanks to its application in various fields (finance, media, logistics, medicine, etc.), it offers interesting employment prospects. To start a career in AI, you need to acquire some theoretical knowledge and practical skills. How to achieve excellence in artificial intelligence with the appropriate course?

Explore the advantages and disadvantages of work-study and traditional courses

Theoretical and practical knowledge enable a successful career in artificial intelligence. You can follow a traditional course or work-study training to excel in this field. How to make the right choice ?

The classic AI course

University education allows you toacquire in-depth theoretical foundations in mathematics, statistics, computer science… With these different subjects, you master the fundamental concepts of artificial intelligence such as machine learning, neural networks and computer vision. Depending on the establishment you choose, you will discover the latest scientific advances in AI. You can even participate in innovative projects and publish work. The classic curriculum emphasizes monitoring which allows you to acquire skills in a progressive and balanced manner. Universities encourage the multidisciplinary approach and combine AI with other fields such as philosophy and humanities.

Academic training, however, lacks connection with the concrete problems encountered in business, because it focuses on theory. There is therefore a gap between the skills acquired and the needs of employers. Projects and internships offer very few opportunities for intervene on AI missions in real conditions. You do not have the possibility to specialize in a specific subject or technology, because the training courses offer a broad approach to artificial intelligence. Without real experience, you may have difficulty landing your first job after a traditional course.

The strengths and weaknesses of work-study training in artificial intelligence

To obtain the theoretical knowledge and professional skills, take a master’s degree in artificial intelligence in a specialized school. This allows to work on concrete projects within a company and to understand the applications of AI in the field of employment. Structures at the forefront of innovation generally use the latest high-performance tools on the market.

You thus benefit frompractical training on these technologies and you increase your employability rate. The work-study program allows you to acquire soft skills such as communication, teamwork and project management. Your studies are financed by your employer and you benefit from remuneration and paid leave.

The school/company route has some shortcomings, because practical training is often favored. You improve your professional experience at the expense of complex mathematical and computer science concepts. Framework data is confidential and prevents you from training or testing sophisticated AI models. Your missions are also short-term. They do not allow you to complete the full development cycle of an artificial intelligence system. After training, you may encounter difficulties in progressing within a company due to incomplete work experience.

Discover the importance of professional experience in artificial intelligence

Artificial intelligence is a complex field that uses mathematical, statistical and computer science concepts. To put these various concepts into practice, you must have business experience. It allows you to make the link between abstract models and the problems you encounter within a structure. By understanding operational issues and application constraints, you can develop and deploy AI solutions.

In this field, you need to collect and prepare large volumes of data to train machine learning algorithms. The traditional curriculum offers access to limited and simplified information. With professional experience in the field, you study the complexity and heterogeneity of elements from numerous sources. This allows you toapply advanced data engineering methods. To prevent technical and legal risks, the deployment of AI in an environment must be controlled. Security, confidentiality and compliance with current standards must be taken into account. Experience allows us to develop best practices to guarantee the integrity of artificial intelligence systems in business.

Excel in AI work-study with the right skills

During a work-study program in AI, you must highlight your skills in mathematics and computer science. To better understand and master the concepts of deep learning and machine learning, strengthen your knowledge of statistics, in linear algebra, algorithms and data structures. This allows you to take full advantage of practical training and to be operational on concrete projects in business.

Solid experience with Python, R, C++ and Java languages is required to develop and deploy the models. Browse the leading machine learning, cloud and database libraries to set yourself apart from other work-study students. The nature of artificial intelligence problems requires a great sense of abstraction. You must break down problems into subtasks, identify suitable techniques and find clever solution angles. Skills such as creative thinking, intellectual curiosity and algorithmic thinking are very useful.

To flourish on a work-study basis, have excellent listening, analysis and synthesis skills and communication. Demonstrate your rigor, your sense of organization and your ability to manage stressful situations within a group. You also need the skills to work in a team and question yourself to excel in artificial intelligence.

Succeed in your career in AI with a work-study program

The work-study program offers you the chance to combine theoretical training with business experience from the start of your master’s degree. You benefit from a rapid immersion into the world of work. Thanks to this contact with market realities, you understand the different professions and develop a professional network. This also allows you to understand the skills and qualities expected by employers.

Company missions are perfect for putting into practice the concepts covered in training. You become familiar with the technical challenges and difficulties linked to the profession very early on. By solving these problems, you have experience that differentiates you from other artificial intelligence specialists. The sustained pace of courses at university and work within a structure allow you to develop adaptation and time management skills and stress. Your ability to manage this situation prepares you for the demands of the professional world.

The work-study course highlights your ability to invest in the long term and to carry out the projects entrusted to you. At the end of the training, you have all the resources to launch yourself into a promising career.



PREV Federal Energy Minister defends carbon capture
NEXT Office real estate: a market at a standstill