While technology continues to shape almost all industries, the need for technological literacy increases. In this spirit, specialties of specialties can seek to increase their career perspectives by developing technological skills on demand through a variety of methods, including mentoring, structured courses, online studies and even training during employment.
Below, the members of Forbes Technology Council Share the technological skills that professionals with any level of technological expertise can (and should probably) learn to remain competitive on a rapidly evolving labor market. From fast engineering to data analysis, find out which skills are widely requested and how to learn them can benefit you and your organization.
1. Fast engineering
A technological competence that is in high demand is rapid engineering. Rapid engineering requires solid experience in languages, history, psychology, etc. To create effective prompts that generate high -quality responses from large languages. This makes it a great competence for nonch professionals. – PRAERIT GARG,, Smartheet
2. Data analysis
A technological skill that many jobs need today is data analysis. People who are not technology experts can also learn. Many companies use data to make decisions, so knowing how to read and understand the data is very useful in many jobs – and that costs nothing in addition to effort. – Igor Fedulov,, Intersog
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3.
Familiarity with artificial intelligence is a must between the departments. For example, judicial agents will not be supposed to know how to develop AI -based software, but they should know how to speed up their daily processes with. I advise all professionals who work to experience the integration of AI into their workflows. Large language models are a great way to start; If you can access a owner AI engine, even better. – Braline frame,, Saifr
4. Workflow automation skills
The workflow automation skills are very precious because companies seek to reduce costs. Fortunately, automation tools are becoming more and more accessible to nonch people. My advice is to start by exploring the software you already use. Many products have integrated workflow designers that allow you to build the two automation in this system and integrations with other software that you use. – Michael Zuercher,, Prismatic
5. Design of experience
The design of experience is an area on demand that requires talent and instinct but not technical skills (at least bat). If you like to organize and create systems, and if you have a natural meaning in the way of intentionally conceiving an experience of a happy birthday, you could very well do in this area. To acquire difficult skills, there is research to do and stay aware of software to learn. – Lindsey Witmer Collins,, WLCM “Welcome” Studio Application
6. Conceive reflection with AI tools
A great competence for non -technologies is to mix design thought with AI tools – it distinguishes you from data analysts and rapid engineers. For example, a seller can create personalized campaigns, or an HR professional can rethink integration systems. Learn the frame of reflection on the design (including the Ideat, prototype and test stages) and explore courses such as Ideo U design or racera thought for innovation. Follow Tim Brown (Ideo), Don Norman or D. School in Stanford. – Sridhar Ratakonda,, Predactica
7. Code -free applications
Professionals notchically are experts in their own fields. By learning and applying applications without code to their existing processes, they can improve their efficiency and efficiency in their current roles and develop skills for future roles in the high demand field of applications without code. – Stephen Farrugia,, BAI Communications
8. Build training data
The advent of large language models has prompted conversations on AI everywhere, and there is more at AI than coding and engineering. Successful solutions fed by AI come from major training data, and you do not need to be a data scientist to compile an effective set of data or contribute to a solid training model. The simple fact of being tilted towards the analysis and centricity of the data is a much appreciated competence. – Venkatesh Jayaraman,, MODMED
9. Stracing on the web
Take advantage of the basic web cramp skills using tools like Parsehub can be a transformer for research and market analysis roles. You do not need in -depth technical knowledge, go by automating data collection for your current report tasks. I saw sales teams triple their lead generation efficiency after learning these tools and techniques. – Marc Fischer,, Dogtown Media LLC
10. Generative and low code tools
The skills to take advantage of generative AI and low -code tools are in high demand and are an excellent option for nonch professionals. Mastering rapid engineering with AI tools such as chatgpt or fire shooting platforms like Power Apps allows automation and creativity. My advice: start with online courses and practical tutorials, focusing on resolving commercial challenges and experimenting permanently to align technology with a real impact. – Vandana Rana,, Walmart Global Tech
11. Consciousness of cybersecurity
A very relevant objective is awareness of cybersecurity and basic digital hygiene. Nonchumic professionals can learn to recognize threats such as phishing and secure their digital environments. Start by undergoing internal cybersecurity training and apply the advice you learn on daily tasks. This fundamental competence stimulates personal and organizational security. – Roman wineogradov,, Improvado
12. Analysis of commercial requirements
Analysis of commercial requirements becomes crucial because AI transforms workflows. This competence helps nonch professionals to fill the gap between the needs of the company and the technical solutions. Start by documenting current processes, identifying painful points and learning to write clear requirements. Start by mapping a workflow, then collaborate with the technological teams by emphasizing the definition of the results that AI can perform. – Gabriel Gonzalez,, Swallowed
13. Writing technical documentation
The drafting of technical documentation is a technological competence which is always in great demand. Anyone who has already opened a technological manual knows that there are many more instructions than good. The combination of good writing and a technical understanding takes time to develop and maintain, but there are countless open-source projects on which to practice. – Kevin Kort,, Unification
14. Data storage
Data narration – The ability to interpret data and clearly present information to stimulate decisions – is a precious competence for nonch professionals. Learn the basics of visualization tools as a Table or Power Bi, focus on key measurements relevant to your role and practice transforming complex data into simple and usable stories for your audience. – Sameer Mohammed,, Ooredoo Qatar
15. Automatic learning
Although it is more advanced, a unique technological skill for nonch professionals is automatic learning. Basic ML concepts can be applied to automate tasks or improve services. Start by learning the basics with online resources like Khan Academy or Kaggle. Use simple tools like Google Automl and collaborate with scientists from data to work to apply what you learn. A coherent practice is the key to gaining confidence. – Madhava Rao Kunchala,, Mygo Consulting Inc.
16. Agile project management
Project management using agile methodologies is a precious skill for unchnocated professionals to learn at work. It improves teamwork, efficiency and delivery of projects. Starting with tools like Jira or Trello and gain certifications like Scrum Master can provide a solid base. The practice of these methods in daily tasks helps you create expertise and provide quick and measurable results. – Vaibhav Gujral
17. Decompose problems
Learn to decompose problems with logical steps and to express them in an unambiguous way. Start by using organizations or process mapping to determine decision points and all possible combinations. Then, you can use this information to dive into code -free interfaces or other interfaces “similar to a manufacturer” to provide work solutions. – Nick Tudor,, White
18. Digital marketing analysis
Digital marketing analysis is a high demand skill that nonchnomed professionals can learn. Platforms like Google Analytics provide an overview of marketing campaigns. Start with certified online courses to understand measures such as traffic and conversion rates. Then apply this knowledge to analyze real campaigns, follow the KPIs and create data -based strategies to improve marketing results. – Manasi Sharma,, Microsoft
19. Design ux
Learn to apply best user experience practices to improve processes for customers or employees, for example, by creating intuitive forms or workflows. Shadow UX designers or product managers to see how they approach comments and user design. Start by rethinking a single form or a single web page using a Wireframe tool like Figma. Solicit the contributions of colleagues to iterate and improve. – Cristian Randieri,, Intellisystem Technologies
At Learnopoly, Finn has championed a mission to deliver unbiased, in-depth reviews of online courses that empower learners to make well-informed decisions. With over a decade of experience in financial services, he has honed his expertise in strategic partnerships and business development, cultivating both a sharp analytical perspective and a collaborative spirit. A lifelong learner, Finn’s commitment to creating a trusted guide for online education was ignited by a frustrating encounter with biased course reviews.