The most in-demand AI careers – and what skills and training you need for them

The article The most sought-after AI professions – and what skills and further training you need for them first appeared in the online magazine BASIC thinking. With our newsletter UPDATE you can start the day well informed every morning.

Artificial Intelligence (AI) is changing the world of work faster and more comprehensively than many expected. Whether in production, in the office, in healthcare or in marketing: AI applications are already an integral part of everyday working life. Perhaps you have already experienced how AI supports your work – be it through automated evaluations, more intelligent processes or toolsthat take tasks off your hands. The big question is therefore no longer whether AI changes jobs, but how you can benefit from it.

The comprehensive one WBS Training Job Report shows which ones AI jobs What is particularly in demand right now is which ones Competencies you need and how you can use targeted ones Further training you can set the course for your future. So that you can not only react but also actively shape it, here you will find detailed information about the most exciting job profiles, the most relevant trends and the most important skills related to AI.

Why AI skills are crucial now

AI is fundamentally changing the way we work in many areas. This development has long since affected not only technical or data-intensive professions, but almost all industries. The ability Use, evaluate or collaborate with AI toolsthus becoming a key competency. But what does this actually mean for your everyday work?

For example, automated processes can reduce monotonous tasks – activities that previously took a lot of time can now be completed with just a few clicks. This leaves more room for strategic planning, creative problem solving or direct collaboration with people. Your profile will be particularly valuable if you understand how AI uses datahow you can use them sensibly and how you can interpret their results.

So that you can classify the changes, here is a clear summary of the most important developments that can also influence your career:

• Automation of Routine and administrative activitieswhich allows you to focus more on creative, organizational or analytical tasks.
• Bigger and bigger Amounts of datathat companies want to analyze in a structured manner – and for this they need specialists who can use tools confidently and communicate results in an understandable way.
• New Services, products and business models that are only possible through AI and give rise to new job profiles.
• Competitive advantages for organizations that rely on AI – and thus increasing demand for employees who are distinguished by their AI knowledge.

The demand for AI skills This increases not only in technical professions, but wherever processes are optimized, decisions are supported and innovations are driven forward. That’s exactly why it’s worth actively tackling this field now.

The most in-demand AI careers in 2025

One of the most important insights of the WBS Training Job Reports is the clear overview of which AI jobs will be particularly in demand in the coming years. These roles often arise from existing activities – and expand them with AI capabilities. This means: You can often even benefit from your previous professional background.

The following table shows you the currently most popular job profiles and the typical tasks that await you. You will also find out which ones AI skills help you to successfully fulfill these roles.

Profession	Typical tasks	AI skills in demand
AI developer	Development and implementation of AI applications, optimization of algorithms	Python, machine learning, deep learning, data analysis
Data scientist	Evaluation of large amounts of data, modeling, forecasts, visualization	Statistics, analysis tools, data visualization, ML knowledge
Prompt engineer	Developing tailored AI queries, improving AI dialogs	Language modeling, creativity, AI dialogue control
AI project manager	Supervision of AI projects, coordination of teams, classification of AI potential	Project management, strong communication skills, understanding of AI
AI trainer	Training of AI systems, data annotation, quality assurance	Domain knowledge, machine learning, data preparation
AI Solution Architect	Development of complex AI architectures, integration into company processes	System architecture, cloud technologies, software design

These careers show you how broad the field is. While some roles are technical, others focus more on communication, organization or creative work with AI.

Which skills are in demand now?

Many people believe that you have to be able to program in order to gain a foothold in the AI ​​field. That’s not true. What’s important is that you… How AI works understand, be able to use the appropriate tools and bring your strengths to the role. Depending on your job profile, you will need different skills.

The most important ones AI skills at a glance:

• Basic understanding of modern AI tools and their possible uses
• (Optional) Programming knowledge in Python, R or Java
• Machine learning and deep learning (depending on role)
• Data analysis and statistical basics
• Cloud computing (e.g. AWS, Azure, Google Cloud)
• Project management in the AI ​​context
• Ethics, data protection and the responsible handling of data
• communication and teamwork
• creativity and the ability to solve problems in a structured manner

You see: Many requirements relate primarily to: Understand, apply and communicate – and not exclusively on technical development.

This is how you can get started in an AI career

Currently, each of us has the opportunity to pursue an AI profession. Regardless of whether you come from IT, marketing, healthcare, industry or a completely different area. Many companies are paying more attention demonstrable practical experience than on degrees.

1. Self-assessment – ​​Where do you want to go?

Ask yourself whether you would prefer to work in an analytical, organizational, creative or technical environment. This will help you find the right one roles and Further training to choose.

2. Further training – your practical introduction

The AI training courses WBS Training teaches you modern tools, methods and real application scenarios. This means you can immediately apply what you have learned to projects.

3. Gain practical experience – even on a small scale

You don’t have to take on a big AI project right away. Even small, self-implemented exercises show your motivation and understanding. Examples:

• Create one Mini chatbotwho answers simple questions.
• Analyze one public data set (e.g. traffic, fitness data, weather).
• Document the improvement of various Prompts and explain why they work better.
• Create a small one Data visualization with an AI tool.

You can do projects like this in yours Portfolio show – a big advantage when applying.

4. Networking – sharing knowledge, finding opportunities

Many people interested in AI and professionals exchange ideas in online communities, at conferences or in local meetups. This gives you insights into new trends and concrete practical examples.

5. Adjust application documents

Raise yours Projects, further training and tools that you already have mastered. This immediately shows employers that you not only know AI theoretically, but can apply it.

AI training as the key to your new opportunities

If you want to get started in an AI career, professional training is an important step. The AI ​​programs from WBS Training offer you:

• Flexible online formatsideal for working people
• Practical exercises with real tools
• Certificates as proof of qualification
• Funding opportunities like the education voucher
• Individual advice for orientation

This gives you everything you need to develop professionally – no matter where you are.

Practical tip: This is how you gain experience for your entry into AI

initiative is one of the most important factors when entering AI careers. Every task you complete yourself shows your interest and willingness to learn. For example, they are suitable for this Hackathonsonline challenges or Open source projectswhere you can actively contribute your skills. There you will not only learn new tools, but also get feedback from experienced professionals.

FAQ: Frequently asked questions about AI careers and skills

Which AI professions are particularly in demand?

AI developers, data scientists, prompt engineers, AI project managers and AI solution architects are among the roles that are particularly in demand.

What skills do I need for an AI job?

A combination of analytical skills, understanding of AI tools, creativity and communication skills.

How can I qualify for an AI job?

With further training, your own projects and continuous learning.

Where can I find more information about AI careers and trends?

In the AI special from WBS Training.

Do certain sectors offer particularly good opportunities?

Yes – including IT, healthcare, industry, finance and logistics.

Do I need a computer science degree?

No. Practical experience and demonstrable skills are often more important.

How quickly can I retrain?

Depending on the intensity of learning, the first professional steps are often possible after just a few months.

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Conclusion: Shaping your future with AI

The world of work is changing Artificial intelligence fundamental – and this is exactly where great opportunities lie for your professional development. If you find the right ones AI skills If you adopt it and remain open to new possibilities, you can not only experience this change, but actively help shape it. The findings from the WBS Training Job Report and the offers in the AI ​​Special give you the orientation you need to get started.

To the AI ​​special

The post The most in-demand AI careers – and what skills and further training you need for them appeared first on BASIC thinking. Follow us too Google News and Flipboard or subscribe to our newsletter UPDATE.

As a Tech Industry expert, I can confidently say that AI careers are some of the most in-demand positions in the industry right now. With the rapid advancements in AI technology, companies are looking for skilled professionals who can develop, implement, and manage AI solutions to improve their business processes and drive innovation.

Some of the most in-demand AI careers include:

1. Machine Learning Engineer: Machine learning engineers are responsible for designing, implementing, and optimizing machine learning algorithms and models. They need strong programming skills in languages like Python, R, or Java, as well as a deep understanding of statistics and mathematics.

2. Data Scientist: Data scientists analyze large datasets to draw meaningful insights and make data-driven decisions. They need to have a strong background in statistics, machine learning, and data visualization, as well as programming skills in languages like Python or R.

3. AI Research Scientist: AI research scientists work on cutting-edge research projects to advance the field of artificial intelligence. They need a strong foundation in computer science, mathematics, and machine learning, as well as experience with deep learning frameworks like TensorFlow or PyTorch.

4. AI Ethicist: AI ethicists are responsible for ensuring that AI technologies are developed and used in an ethical and responsible manner. They need a strong understanding of ethics, philosophy, and technology, as well as excellent communication and critical thinking skills.

To pursue a career in AI, professionals need to have a solid foundation in computer science, mathematics, and statistics. They should also have experience with programming languages like Python, R, or Java, as well as familiarity with machine learning and deep learning frameworks.

In addition to technical skills, AI professionals also need to have strong problem-solving, critical thinking, and communication skills. They should be able to work collaboratively in a team environment and adapt to rapidly changing technologies and trends in the industry.

Overall, pursuing a career in AI requires a combination of technical skills, domain knowledge, and soft skills to be successful in this rapidly growing field. With the right training and experience, professionals can carve out a rewarding and fulfilling career in AI.

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