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You are at:Home » 19 Indemand Technical Skills Can Everyone (Even Should) Learn
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19 Indemand Technical Skills Can Everyone (Even Should) Learn

Adnan MaharBy Adnan MaharFebruary 10, 2025No Comments7 Mins Read0 Views
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As technology continues to form almost every industry, the need for tech literacy is growing. With this in mind, experts in the field can help develop career outlook by developing technical skills in demand through a variety of methods, including mentorship, structured classes, online research, and even on-site training. You may be looking to increase the

Below, Forbes Technology Council members can (and likely should) learn about technical capabilities that experts with all levels of technical expertise can (and should) remain competitive in the rapidly evolving job market. We share. From rapid engineering to data analysis, discover which skills are in wide demand and how learning them benefits both you and your organization.

1. Prompt Engineering

A technical skill in high demand is rapid engineering. Prompt engineering requires strong backgrounds such as language, history, and psychology, creating effective prompts that generate high-quality responses from large-scale language models. This makes it a great skill that Nontech experts pursue. -Praerit Garg, Smart Sheet

2. Data analysis

One of the technical skills that many jobs require today is data analytics. Those who are not technical experts can learn that. Many companies use data to make decisions, so knowing how to read and understand data can be extremely useful in many jobs, but it takes nothing but effort. – Igor Federov, Intersug

Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Are you qualified?

3. AI leverage

Being familiar with artificial intelligence is a must-have across departments. For example, legal officers are not expected to know how to develop AI-based software, but they need to know how to facilitate the daily process. I would recommend all working professionals to experiment with integrating AI into their workflow. Large language models are the best way to get started. It’s even better if you have access to your own AI engine. -Vall Herard, Saifr

4. Workflow automation skills

Workflow automation skills are extremely valuable as businesses try to reduce costs. Fortunately, automation tools are becoming increasingly accessible to Nontech people. My advice is to start by exploring the software you already use. Many products have built-in workflow designers that allow you to build both automation within that system and integration with other software you use. – Michael Zucher, Prism

5. Experience design

Experience design is a field of demand that requires talent and instinct, but also requires technical skills (at least from the bat). If you want to organize and create a system, and if you have a natural sense of how to intentionally design a good sensory experience, you can really do well in this field. To gain hard skills, you may design software that stays with the research you need to do and learn. -Lindsey Witmer Collins, WLCM “Welcome” App Studio

6. Design thinking using AI tools

Nonteecies’ great skills are blending design thinking and AI tools. This sets you apart from data analysts and quick engineers. For example, salespeople can create personalized campaigns, and HR experts can redesign their onboarding systems. Learn the design thinking framework (including ideas, prototypes and testing stages) and explore courses such as IDEO U and Coursera’s Design Thinking for Innovation. Follow Tim Brown (IDEO), Don Norman, or D.School from Stanford. -Sridhar Ratakonda, Predactica

7. No code app

Nontech experts are experts in their field. By learning and applying no-code apps to existing processes, you can improve efficiency and effectiveness in your current roles and develop future role skills in high demand areas of no-code apps. -Stephen Farrugia, Bai Communications

8. Building training data

The emergence of large-scale language models encourages conversations about AI everywhere, and there’s more to it than coding and engineering. The success of AI-powered solutions comes from excellent training data. You don’t need to be a data scientist to compile effective datasets or contribute to a powerful training model. Simply leaning towards analytics and data centrality is a very valuable skill. -Venkatesh Jayaraman, Modmed

9. Web scraping

Utilizing basic web scrapping skills using tools like Parsehub can be transformed to suit the role of research and market analysis. No deep technical knowledge is required. Start by automating data collection for current reporting tasks. After learning these tools and techniques, we’ve seen sales team triple their lead generation efficiency. – Mark Fisher, Dogtown Media LLC

10. Generating AI and low code tools

Skills that utilize generative AI and low-code tools are in high demand and are a great option for Nontech experts. Using AI tools such as CHATGPT to leverage platforms such as Power Apps to master rapid engineering with AI tools enhances automation and creativity. My advice: Start with an online course and hands-on tutorials, focusing on solving business challenges and continually experimenting with technology to match actual impacts. -Vandana Rana, Walmart Global Tech

11. Cybersecurity awareness

A highly relevant focus is cybersecurity awareness and basic digital hygiene. Nontech experts can learn how to recognize threats such as phishing and secure a digital environment. Start by participating in in-house cybersecurity training and applying tips you’ve learned to your daily tasks. This basic skill enhances both personal and organizational security. -Roman Vinogradov, improvisation

12. Business Requirements Analysis

As AI transforms workflows, business requirements analysis is becoming more important. This skill will help Nontech professionals bridge the gap between business needs and technical solutions. Start by learning to document the current process, identify issues, and write clear requirements. Starting by mapping a single workflow, working with the technology team with an emphasis on defining the outcomes that AI can perform. – Gabriel Gonzalez, Eden Red

13. Write a technical document

Writing technical documents is one of the technical skills that is still in high demand. Anyone who has opened a technical manual knows that there are far worse instructions than good ones. A combination of good writing and technical understanding takes time to develop and maintain, but there are countless open source projects to put into practice. – Kevin Corte, University

14. Data Storytelling

Data storytelling (the ability to interpret data and present clear insights to drive decision-making) is a valuable skill for Nontech experts. Learn the basics of visualization tools like Tableau and Power BI, focus on key metrics related to your role, and practice turning complex data into simple, practical stories for your audience . -Sameer Mohammed, Ooredoo Qatar

15. Machine Learning

A more advanced, yet unique technical skill for Nontech experts is machine learning. You can apply basic ML concepts to automate tasks and improve services. Start by learning the basics using online resources such as Khan Academy and Kaggle. Use simple tools like Google Automl and work with data scientists in the workplace to apply what you’ve learned. Consistent practice is key to gaining confidence. -Madhava Rao Kunchala, Mygo Consulting Inc.

16. Agile Project Management

Project management using agile methodology is a valuable skill that Nontech experts can learn at work. Strengthen teamwork, efficiency and project delivery. Start with tools like Jira or Trello and earn certifications like Scrum Master. Practice these methods on daily tasks to build expertise and provide quick, measurable results. -Vaibhav Gujral, Charles Schwab

17. Disassembly of the problem

Learn how to break down problems into logical steps and express them in a clear way. Start by using a flow chart or process mapping to understand all possible combinations of decision points. You can then use that information to dive into a no-code or other “builder-like” interface and provide a practical solution. – Nick Tudor, White Spectrum

18. Digital Marketing Analysis

Digital marketing analysis is a high-demand skill that Nontech experts can learn. Platforms such as Google Analytics provide insight into the performance of your marketing campaigns. Start with a certified online course and understand metrics such as traffic and conversion rates. Then apply that knowledge to analyze real campaigns, track KPIs, and create data-driven strategies to improve marketing outcomes. -Manasi Sharma, Microsoft

19. UX Design

For example, you will learn to apply best user experience practices to improve processes for your customers or employees by creating intuitive forms and workflows. Shadow UX Designers or Product Managers will see how they approach user feedback and design. Start by redesigning a single form or web page using a wireframe tool such as Figma. We recruit input from colleagues and repetitively improve. -Cristian Randieri, Intellisystem Technologies



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Adnan Mahar
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Adnan is a passionate doctor from Pakistan with a keen interest in exploring the world of politics, sports, and international affairs. As an avid reader and lifelong learner, he is deeply committed to sharing insights, perspectives, and thought-provoking ideas. His journey combines a love for knowledge with an analytical approach to current events, aiming to inspire meaningful conversations and broaden understanding across a wide range of topics.

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