

Artificial Intelligence (AI) is the talk of the town (or the globe). It is currently leading the charge in tech advancements in almost every sector, from healthcare to customer service. The advancement of AI has also brought new roles along with it, chief among them that of an AI prompt engineer—a career at the confluence of AI innovation and human creativity. This guide will show you how to join this cutting-edge field, where technical prowess meets linguistic flair and psychological insight.
Here’s how to become an AI prompt engineer.
What Is an AI Prompt Engineer?
AI prompt engineers translate and bridge the gap between human curiosity and AI’s massive knowledge base. They construct the behind-the-scenes questions or “prompts” that ask AI systems in a way that the machine’s response gives just the right result.
Imagine asking an AI about the best way to make a pizza, and instead of getting a recipe, you end up with a history lesson on tomatoes. You don’t have to be precise with your imagination because AI prompt engineers to step up, tweak, and fine-tune the prompts to lead the AI toward understanding the question.
These engineers also help interpret the AI’s responses and refine those prompts based on accuracy and relevance. They teach it how to understand not just words but the intent behind them. It’s what makes AI conversations feel more natural and less like you’re talking to a textbook.
AI prompt engineers are at the forefront of bridging the gap between human intentions and AI’s capabilities. They observe and train the AI models to grasp and respond to human languages more effectively.
Essential Skills and Qualifications
For this role, one must cultivate a blend of technical, creative, and analytical skills. The following are essential for any aspiring AI prompt engineer:
- Python. This lingua franca of AI development is necessary for any AI prompt engineer. You should have a solid grasp of this language for coding and for leveraging AI frameworks and libraries for developing and refining AI models.
- Natural Language Processing (NLP). As a merge between linguistics and computer science, it’s the heart of what makes AI systems understand and generate human language. Knowledge of NLP principles and technologies enables AI prompt engineers to make prompts that make sense to the AI.
- Creative touch. While you can’t necessarily learn the skill, it’s still fairly essential and leads to prompts that are clear to the AI and engaging or meaningful to humans. You must find novel ways to communicate with AI to achieve sought-after outcomes.
- Machine learning. You will also need a fundamental understanding of this field of study. Engineers use it to fine-tune AI models and improve their responsiveness and accuracy using feedback loops from real-world interactions.
AI prompt engineer is a very new job title, so it isn’t quite yet a distinct traditional academic path. Still, many paths can lead to this career.
- Computer science gives you a broad foundation in programming, algorithms, and data structures, technical skills necessary for AI development.
- Linguistics may not seem like a major to lead into a tech job. Still, it gives insights into the structure and function of language for understanding and improving AI’s language processing.
- Cognitive science bridges the gap between human psychology and computer science. It can show you how a machine can mimic (or fail at mimicking) human thinking.
- AI and machine learning programs, as a whole, focus directly on the technologies behind AI, which are the foundation for an AI prompt engineer.
Path to Becoming an AI Prompt Engineer
So, how to become an AI prompt engineer, then? Now that you understand what skills you need and what degrees might be the best, let’s see how to get there.
- Pursue a bachelor’s or master’s degree in fields that lay the groundwork for a career in AI, like computer science, linguistics, cognitive science, or AI and machine learning. You’ll get the theoretical basics and technical skills to get the human and computational parts of AI prompt engineering.
- Look for internships where you can work on actual AI projects. Try personal projects or contribute to open-source AI. Such projects can be related to anything you enjoy. Doing so is fun and lets you experiment and innovate with AI technologies. Moreover, others, including possible employers, will get an idea about your skills.
- Never stop learning. Take part in workshops, enroll in online courses, and get as many certificates in AI, NLP, and machine learning as you can.
- Take part in the AI community through forums, social media groups, and conferences. When you’re a part of a group effort, you get to learn and grow along with the community and get your name out.
- Take time to reflect on your learning and projects. Be open to exploring new areas of AI that interest you, and don’t be afraid to change your focus as you discover what excites you the most about AI prompt engineering and what might miss the mark for you.
OPIT’s Programs in AI and Machine Learning
OPIT’s educational program lineup offers several pathways to becoming an AI prompt engineer—the MSc in Responsible Artificial Intelligence, the BSc in Modern Computer Science, and the MSc in Data Science & AI. These degrees give you all the skills you need to tackle AI prompt battles and victories.
The heavy-duty content covers everything from the basics to the brain-bending advanced topics. Once you know the theory, you will also get the practice of project-based learning that takes you out of the classroom (figuratively, since you might still physically be in one). Hands-on learning segments plunge you into real-world AI development.
By the time you’re done, you will be theoretically proficient and have experience in applying AI in various scenarios, including the nuanced art of prompt engineering. For example, you might have to refine an AI’s ability to understand and generate human-like. Or, you might develop prompts that take an AI through complex ethical dilemmas.
Why Choose a Career as an AI Prompt Engineer
Being an AI prompt engineer takes you straight to the front lines of AI development, where every day brings a new challenge and a chance to shape the future of how humans and machines interact. It’s a career path with immense potential for growth, innovation, and creativity. This career is ideal for tech-inclined people who want to be pioneers, a part of the bleeding-edge technology before it becomes a necessary part of everyone’s workflow.
Be at the AI Frontlines
Now you know how to become an AI prompt engineer, so it’s time to get started on this exciting career path. Focus on relevant degree programs like computer science, linguistics, or AI, and keep an eye out for opportunities for more hands-on learning – whether it’s an internship or an open source project.
While you’re mapping out your career path, let OPIT be part of the journey with programs that will set you up for success in this field. Whether it’s a bachelor’s or master’s degree, you’ll receive a comprehensive education with relevant hands-on experience from experts in the field, poised to position any aspiring AI prompt engineer for success.
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During the Open Institute of Technology’s (OPIT’s) 2025 Graduation Day, we conducted interviews with many recent graduates to understand why they chose OPIT, how they felt about the course, and what advice they might give to others considering studying at OPIT.
Karina is an experienced FinTech professional who is an experienced integration manager, ERP specialist, and business analyst. She was interested in learning AI applications to expand her career possibilities, and she chose OPIT’s MSc in Applied Data Science & AI.
In the interview, Karina discussed why she chose OPIT over other courses of study, the main challenges she faced when completing the course while working full-time, and the kind of support she received from OPIT and other students.
Why Study at OPIT?
Karina explained that she was interested in enhancing her AI skills to take advantage of a major emerging technology in the FinTech field. She said that she was looking for a course that was affordable and that she could manage alongside her current demanding job. Karina noted that she did not have the luxury to take time off to become a full-time student.
She was principally looking at courses in the United States and the United Kingdom. She found that comprehensive courses were expensive, costing upwards of $50,000, and did not always offer flexible study options. Meanwhile, flexible courses that she could complete while working offered excellent individual modules, but didn’t always add up to a coherent whole. This was something that set OPIT apart.
Karina admits that she was initially skeptical when she encountered OPIT because, at the time, it was still very new. OPIT only started offering courses in September 2023, so 2025 was the first cohort of graduates.
Nevertheless, Karina was interested in OPIT’s affordable study options and the flexibility of fully remote learning and part-time options. She said that when she looked into the course, she realized that it aligned very closely with what she was looking for.
In particular, Karina noted that she was always wary of further study because of the level of mathematics required in most computer science courses. She appreciated that OPIT’s course focused on understanding the underlying core principles and the potential applications, rather than the fine programming and mathematical details. This made the course more applicable to her professional life.
OPIT’s MSc in Applied Data Science & AI
The course Karina took was OPIT’s MSc in Applied Data Science & AI. It is a three- to four-term course (13 weeks), which can take between one and two years to complete, depending on the pace you choose and whether you choose the 90 or 120 ECTS option. As well as part-time, there are also regular and fast-track options.
The course is fully online and completed in English, with an accessible tuition fee of €2,250 per term, which is €6,750 for the 90 ECTS course and €9,000 for the 120 ECTS course. Payment plans are available as are scholarships, and discounts are available if you pay the full amount upfront.
It matches foundational tech modules with business application modules to build a strong foundation. It then ends with a term-long research project culminating in a thesis. Internships with industry partners are encouraged and facilitated by OPIT, or professionals can work on projects within their own companies.
Entry requirements include a bachelor’s degree or equivalency in any field, including non-tech fields, and English proficiency to a B2 level.
Faculty members include Pierluigi Casale, a former Data Science and AI Innovation Officer for the European Parliament and Principal Data Scientist at TomTom; Paco Awissi, former VP at PSL Group and an instructor at McGill University; and Marzi Bakhshandeh, a Senior Product Manager at ING.
Challenges and Support
Karina shared that her biggest challenge while studying at OPIT was time management and juggling the heavy learning schedule with her hectic job. She admitted that when balancing the two, there were times when her social life suffered, but it was doable. The key to her success was organization, time management, and the support of the rest of the cohort.
According to Karina, the cohort WhatsApp group was often a lifeline that helped keep her focused and optimistic during challenging times. Sharing challenges with others in the same boat and seeing the example of her peers often helped.
The OPIT Cohort
OPIT has a wide and varied cohort with over 300 students studying remotely from 78 countries around the world. Around 80% of OPIT’s students are already working professionals who are currently employed at top companies in a variety of industries. This includes global tech firms such as Accenture, Cisco, and Broadcom, FinTech companies like UBS, PwC, Deloitte, and the First Bank of Nigeria, and innovative startups and enterprises like Dynatrace, Leonardo, and the Pharo Foundation.
Study Methods
This cohort meets in OPIT’s online classrooms, powered by the Canvas Learning Management System (LMS). One of the world’s leading teaching and learning software, it acts as a virtual hub for all of OPIT’s academic activities, including live lectures and discussion boards. OPIT also uses the same portal to conduct continuous assessments and prepare students before final exams.
If you want to collaborate with other students, there is a collaboration tab where you can set up workrooms, and also an official Slack platform. Students tend to use WhatsApp for other informal communications.
If students need additional support, they can book an appointment with the course coordinator through Canvas to get advice on managing their workload and balancing their commitments. Students also get access to experienced career advisor Mike McCulloch, who can provide expert guidance.
A Supportive Environment
These services and resources create a supportive environment for OPIT students, which Karina says helped her throughout her course of study. Karina suggests organization and leaning into help from the community are the best ways to succeed when studying with OPIT.

In April 2025, Professor Francesco Derchi from the Open Institute of Technology (OPIT) and Chair of OPIT’s Digital Business programs entered the online classroom to talk about the current state of the Metaverse and what companies can do to engage with this technological shift. As an expert in digital marketing, he is well-placed to talk about how brands can leverage the Metaverse to further company goals.
Current State of the Metaverse
Francesco started by exploring what the Metaverse is and the rocky history of its development. Although many associate the term Metaverse with Mark Zuckerberg’s 2021 announcement of Meta’s pivot toward a virtual immersive experience co-created by users, the concept actually existed long before. In his 1992 novel Snow Crash, author Neal Stephenson described a very similar concept, with people using avatars to seamlessly step out of the real world and into a highly connected virtual world.
Zuckerberg’s announcement was not even the start of real Metaverse-like experiences. Released in 2003, Second Life is a virtual world in which multiple users come together and engage through avatars. Participation in Second Life peaked at about one million active users in 2007. Similarly, Minecraft, released in 2011, is a virtual world where users can explore and build, and it offers multiplayer options.
What set Zuckerberg’s vision apart from these earlier iterations is that he imagined a much broader virtual world, with almost limitless creation and interaction possibilities. However, this proved much more difficult in practice.
Both Meta and Microsoft started investing significantly in the Metaverse at around the same time, with Microsoft completing its acquisition of Activision Blizzard – a gaming company that creates virtual world games such as World of Warcraft – in 2023 and working with Epic Games to bring Fortnite to their Xbox cloud gaming platform.
But limited adoption of new Metaverse technology saw both Meta and Microsoft announce major layoffs and cutbacks on their Metaverse investments.
Open Garden Metaverse
One of the major issues for the big Metaverse vision is that it requires an open-garden Metaverse. Matthew Ball defined this kind of Metaverse in his 2022 book:
“A massively scaled and interoperable network of real-time rendered 3D virtual worlds that can be experienced synchronously and persistently by an effectively unlimited number of users with an individual sense of presence, and with continuity of data, such as identity, history, entitlements, objects, communication, and payments.”
This vision requires an open Metaverse, a virtual world beyond any single company’s walled garden that allows interaction across platforms. With the current technology and state of the market, this is believed to be at least 10 years away.
With that in mind, Zuckerberg and Meta have pivoted away from expanding their Metaverse towards delivering devices such as AI glasses with augmented reality capabilities and virtual reality headsets.
Nevertheless, the Metaverse is still expanding today, but within walled garden contexts. Francesco pointed to Pokémon Go and Roblox as examples of Metaverse-esque words with enormous engagement and popularity.
Brands Engaging with the Metaverse: Nike Case Study
What does that mean for brands? Should they ignore the Metaverse until it becomes a more realistic proposition, or should they be establishing their Meta presence now?
Francesco used Nike’s successful approach to Meta engagement to show how brands can leverage the Metaverse today.
He pointed out that this was a strategic move from Nike to protect their brand. As a cultural phenomenon, people will naturally bring their affinity with Nike into the virtual space with them. If Nike doesn’t constantly monitor that presence, they can lose control of it. Rather than see this as a threat, Nike identified it as an opportunity. As people engage more online, their virtual appearance can become even more important than their physical appearance. Therefore, there is a space for Nike to occupy in this virtual world as a cultural icon.
Nike chose an ad hoc approach, going to users where they are and providing experiences within popular existing platforms.
As more than 1.5 million people play Fortnite every day, Nike started there, first selling a variety of virtual shoes that users can buy to kit out their avatars.
Roblox similarly has around 380 million monthly active users, so Nike entered the space and created NIKELAND, a purpose-built virtual area that offers a unique brand experience in the virtual world. For example, during NBA All-Star Week, LeBron James visited NIKELAND, where he coached and engaged with players. During the FIFA World Cup, NIKELAND let users claim two free soccer jerseys to show support for their favorite teams. According to statistics published at the end of 2023, in less than two years, NIKELAND had more than 34.9 million visitors, with over 13.4 billion hours of engagement and $185 million in NFT (non-fungible tokens or unique digital assets) sales.
Final Thoughts
Francesco concluded by discussing that while Nike has been successful in the Metaverse, this is not necessarily a success that will be simple for smaller brands to replicate. Nike was successful in the virtual world because they are a cultural phenomenon, and the Metaverse is a combination of technology and culture.
Therefore, brands today must decide how to engage with the current state of the Metaverse and prepare for its potential future expansion. Because existing Metaverses are walled gardens, brands also need to decide which Metaverses warrant investment or whether it is worth creating their own dedicated platforms. This all comes down to an appetite for risk.
Facing these types of challenges comes down to understanding the business potential of new technologies and making decisions based on risk and opportunity. OPIT’s BSc in Digital Business and MSc in Digital Business and Innovation help develop these skills, with Francesco also serving as program chair.
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