A demand for professionals adept at artificial intelligence has skyrocketed, as more and more companies are integrating it into their operations to improve efficiency and optimize outputs. As a result, you need to know how to list AI skills on a resume to impress recruiters and show that you have the required level or proficiency.
In this article, we’ll analyze AI skills to find out what makes them important in today’s job market. We’ll go through some of the most sought-after AI skills for a resume and explain how you should incorporate them. Lastly, we’ll give you concrete examples and best practices to help you showcase your AI expertise.
Key Takeaways
AI skills refer to a group of abilities needed to develop and use artificial intelligence technologies.
Three out of four companies plan to implement AI into their everyday operations, making AI skills some of the most sought-after.
Notable technical AI skills include machine learning, natural language processing, proficiency in programming languages, and prompt engineering.
Soft skills required for AI positions include problem-solving, critical thinking, communication, collaboration, adaptability, and AI ethics.
In a resume, AI skills can be added to a summary or objective, skills section, work experience, and education, as well as optional sections, like projects and certifications.
Be specific and mention exact tools and technologies, as well as concrete and quantified results obtained using AI.
What Are AI Skills?
AI skills represent the ability to develop and use artificial intelligence and adjacent technologies. This encompasses various disciplines that range from programming complex algorithms to using AI agents and optimizing prompts for the best outputs.
Many of these are technical skills, such as machine learning (ML), natural language processing (NLP), and data science. Apart from that, there’s proficiency in AI-powered software, tools, and platforms.
The recent rise of generative artificial intelligence, like ChatGPT, has made AI skills highly sought-after in many fields. As a result, skills like prompt engineering and in-depth understanding of AI are becoming increasingly valuable even in non-technical roles.
Why Are AI Skills Important?
Artificial intelligence revolutionized the way businesses operate across the majority of industries. It’s used in healthcare, finance, retail, manufacturing, and many other fields that require professionals with vastly different skill sets on top of AI knowledge.
According to the World Economic Forum’s The Future of Jobs Report, three out of four companies plan to leverage AI, and half of them expect that to boost job growth. AI is being used to automate processes, analyze large sets of data, improve customer experiences, and overall boost the efficiency and productivity of professionals and businesses.
This creates plenty of opportunities for entry-level job seekers who want to get their foot in the door in an expanding field. On the other hand, it may result in the need for upskilling and reskilling in some of the experienced workforce, as some existing roles are beginning to transform.
12 Top AI Skills to Include in Your Resume in 2025
Let’s see what some of the most in-demand AI and ML skills are for a resume.
Technical AI Skills
Technical AI skills are hard skills, typically learned via college, courses, and other traditional methods. They usually represent a foundation of your skill set and are generally one of the first things recruiters look for in a resume.
Some of the top technical skills for AI jobs include:
Machine learning (ML) and deep learning: proficiency with algorithms, neural networks, and frameworks like TensorFlow.
Natural language processing (NLP): knowledge of tools and libraries like spaCy and Hugging Face for developing chatbots, performing sentiment analysis, and more.
Programming languages: experience in languages like Python, R, Java, and C++, which are critical for AI development.
Data science and data analysis: manipulating data and presenting the findings visually using tools like Pandas, SQL, and Tableau.
Prompt engineering: prompting and fine-tuning generative models for optimal outputs.
Cloud AI platforms: familiarity with cloud services like AWS AI and Google Cloud AI.
AI-Related Soft Skills
Using artificial intelligence to its full potential requires several prominent soft skills. These skills allow you to work effectively in a team and apply technical AI skills to real-world problems.
Here are some of the most sought-after:
Problem-solving: leveraging AI to overcome obstacles and complex challenges.
Critical thinking: analyzing problems and making data-driven decisions.
Communication: explaining complex AI concepts to others and exchanging ideas within interdisciplinary teams.
Collaboration: working effectively with professionals in different roles.
Adaptability: staying updated with the rapidly evolving field of AI.
AI ethics: considering any potential algorithm biases and privacy concerns.
How to List AI Skills on Your Resume: A Full Guide
There are several ways to list AI skills on your resume, and using them simultaneously will maximize your chances of passing ATS scans and impressing recruiters.
The first thing you should do is to research the company and analyze the job description to see which AI and machine learning resume skills recruiters look for in candidates. That way, you can focus on demonstrating the most relevant AI competencies in your resume.
#1. AI Skills in the “Skills Section”
The most straightforward way of listing AI skills on a resume is using a dedicated skills section. This section is typically positioned after work experience and education sections, and it should give recruiters a concise overview of your skill set.
When adding AI skills to this resume section, you should list hard skills first (since they are role-specific) and mention soft skills separately.
Let’s see that in a good example:
Good Example
Programming Languages: Python, R, SQL
Machine Learning: TensorFlow, Scikit-learn, spaCy
Data Visualization: Tableau
Generative AI: ChatGPT Prompt Engineering
What you shouldn’t do is list generic terms without specifying concrete tools and technologies.
Let’s see that in a bad example of a skills section:
Bad Example
AI
Machine Learning
Coding
ChatGPT
#2. AI Skills in the “Work Experience” Section
Listing AI skills in the work experience section of your resume provides recruiters with more context and helps them get a deeper understanding of your qualifications. This also allows you to connect your AI resume skills to relevant accomplishments.
When adding a bullet point with a notable achievement, simply include a skill that helped you get the results. For bonus points, you should use action verbs and numbers. Action verbs make your writing more memorable and impactful, while numbers add measurable value to your results and help quantify your abilities.
Here’s a good example of a candidate demonstrating their ability to use generative AI:
Good Example
Leveraged generative AI to create copies and visuals for multiple ad sets before conducting A/B testing to improve ad performance by 21%.
If you don’t use numbers and action verbs, you’ll end up with vague descriptions of your actions, like in the following bad example:
Bad Example
Used AI in marketing campaigns.
#3. AI Skills in the “Education” Section
If you have specialized education in the field of artificial intelligence (e.g., you took a relevant course or wrote a thesis), you can mention that in the education section. This can help improve your credentials, which is particularly important for entry-level candidates who have little to no work experience.
One of the best ways to list AI skills like this is to add a bullet point underneath your degree, and to mention concrete activities that align with the role that you’re applying for:
Let’s see that in a good example:
Good Example
Relevant Coursework: Large Language Models, Deep Learning Specialization, Artificial Intelligence, Natural Language Processing
Now let’s compare that to a bad example that’s too vague:
Bad Example
Took several AI courses
#4. AI Skills in Other Sections
There are several other sections in which you can list or mention your AI skills.
Another core section to which you can add your abilities is a resume objective or a resume summary. An objective is tailored toward entry-level candidates, while a summary is for experienced professionals. Both should be 2–4 sentences long and should highlight your key strengths, whether it’s skills or accomplishments.
Following that, there are some optional sections you can use to showcase AI skills.
For instance, you can create a dedicated “Projects” section, where you can showcase the use of AI in personal projects. This section is a good substitute for the “Work Experience” section for junior professionals, so it should also use bullet points with numbers and action verbs.
Additionally, if you have certifications, you can list them in a standalone section. Make sure to mention the name of the certification, the issuing body, and the date you obtained it. Here’s an example:
Good Example
AI Engineering Professional Certificate, IBM, 2025
Resume Example With AI Skills
Let’s put everything into practice and see how to list AI skills on a resume by giving you an example of a complete document:
4 Best Practices for Showcasing AI Skills
Here are four expert tips and practices to help you include AI skills on your resume like a pro:
Best Practices
Tailor your resume. Your resume should be tailored for every role you’re applying for. Analyze the job description for AI resume keywords, as both recruiters and the ATS will be looking for them.
Specify the tools. Make sure to mention specific technologies, frameworks, and libraries instead of using general terminology.
Emphasize real-world application. Connect your AI skills with realized outcomes to show context and demonstrate expertise.
Use ATS-friendly language. Include both established terms and their abbreviations (e.g., artificial intelligence and AI, as well as machine learning and ML).
3 Common Mistakes to Avoid When Listing AI Skills
Here are the most common mistakes applicants make when adding their skills and listing AI experience on a resume:
Common Mistakes
Being too generic. Merely including terms like “artificial intelligence” or “machine learning skills” on a resume without specifying tools, frameworks, or their application likely won’t grab the attention of recruiters.
Overusing keywords. Using relevant keywords is important, but mentioning the same skills and phrases over and over can result in ATS discarding your resume or a recruiter skipping it.
Exaggerating your abilities. AI skills are highly technical, and they can be easily evaluated. Overestimating your competence without the ability to back up your claims will result in disqualification.
Showcase Your AI Skills With Resume.co
At Resume.co, we developed an AI-powered resume builder that’s perfect for designing professional, attention-grabbing, and ATS-compatible resumes.
Our software is easy to use, featuring ready-made templates and intuitive controls that you can use to craft a job-winning resume in minutes. Built-in artificial intelligence will analyze your inputs and polish your writing, helping you showcase your AI skills using industry-standard language.
Want to demonstrate your AI expertise with a professional resume?
Use Our Resume Builder!Closing Thoughts
Since the vast majority of companies are looking to implement artificial intelligence in their everyday operations, knowing how to list AI skills on a resume has become mandatory. It helps your resume pass software screening, grab the attention of recruiters, and secure you a job interview.
Remember to be specific and precise when describing your abilities and accomplishments. Highlight the tools, frameworks, and results, and don’t forget to use action verbs and numbers. And if it’s your first time building a resume or you want to maximize the chances of success, give our resume builder a try!
How to List AI Skills on a Resume FAQ
#1. How to mention ChatGPT skills in a resume?
You can mention ChatGPT skills in a resume in relation to generative AI and prompt engineering. The best way would be to describe how you used ChatGPT to achieve a certain outcome (e.g., “Utilized ChatGPT to generate an ad copy and achieve a 15% click-through rate”).
#2. What are the top AI skills employers look for in 2025?
Some of the top AI skills employers look for in 2025 include machine learning, NLP, and data analysis. They also value AI-oriented tools and programming languages, like TensorFlow and Python, as well as soft skills, like problem-solving and AI ethics.
#3. How do I list beginner-level AI skills without experience?
To list beginner-level AI skills without experience, you can leverage your personal projects, relevant coursework, and transferable skills. For example, you can create an AI projects resume section, similar to “Work Experience,” to show your work and demonstrate the results.
#4. Can I include AI skills from online courses on my resume?
Yes, you can include AI skills obtained through online courses. Verified certifications and skills obtained through reputable courses, like edX and Coursera, can be highly beneficial in corroborating expertise. This is especially true for entry-level candidates who don’t have professional experience.
#5. How do I tailor AI skills for non-tech roles?
To tailor AI skills for non-tech roles, demonstrate job-specific results you can obtain by using these tools. For instance, you can mention using AI for customer segmentation when applying for a marketing role, or talk about leveraging AI recruiting software as an HR professional.
