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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Master the AI Era: Key Skills for Success
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Apr 24, 2025 6 min read

The world is rapidly changing. New technologies such as artificial intelligence (AI) are transforming our lives and work, redefining the definition of “essential office skills.”

So what essential skills do today’s workers need to thrive in a business world undergoing a major digital transformation? It’s a question that Alan Lerner, director at Toptal and lecturer at the Open Institute of Technology (OPIT), addressed in his recent online masterclass.

In a broad overview of the new office landscape, Lerner shares the essential skills leaders need to manage – including artificial intelligence – to keep abreast of trends.

Here are eight essential capabilities business leaders in the AI era need, according to Lerner, which he also detailed in OPIT’s recent Master’s in Digital Business and Innovation webinar.

An Adapting Professional Environment

Lerner started his discussion by quoting naturalist Charles Darwin.

“It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is the most adaptable to change.”

The quote serves to highlight the level of change that we are currently seeing in the professional world, said Lerner.

According to the World Economic Forum’s The Future of Jobs Report 2025, over the next five years 22% of the labor market will be affected by structural change – including job creation and destruction – and much of that change will be enabled by new technologies such as AI and robotics. They expect the displacement of 92 million existing jobs and the creation of 170 million new jobs by 2030.

While there will be significant growth in frontline jobs – such as delivery drivers, construction workers, and care workers – the fastest-growing jobs will be tech-related roles, including big data specialists, FinTech engineers, and AI and machine learning specialists, while the greatest decline will be in clerical and secretarial roles. The report also predicts that most workers can anticipate that 39% of their existing skill set will be transformed or outdated in five years.

Lerner also highlighted key findings in the Accenture Life Trends 2025 Report, which explores behaviors and attitudes related to business, technology, and social shifts. The report noted five key trends:

  • Cost of Hesitation – People are becoming more wary of the information they receive online.
  • The Parent Trap – Parents and governments are increasingly concerned with helping the younger generation shape a safe relationship with digital technology.
  • Impatience Economy – People are looking for quick solutions over traditional methods to achieve their health and financial goals.
  • The Dignity of Work – Employees desire to feel inspired, to be entrusted with agency, and to achieve a work-life balance.
  • Social Rewilding – People seek to disconnect and focus on satisfying activities and meaningful interactions.

These are consumer and employee demands representing opportunities for change in the modern business landscape.

Key Capabilities for the AI Era

Businesses are using a variety of strategies to adapt, though not always strategically. According to McClean & Company’s HR Trends Report 2025, 42% of respondents said they are currently implementing AI solutions, but only 7% have a documented AI implementation strategy.

This approach reflects the newness of the technology, with many still unsure of the best way to leverage AI, but also feeling the pressure to adopt and adapt, experiment, and fail forward.

So, what skills do leaders need to lead in an environment with both transformation and uncertainty? Lerner highlighted eight essential capabilities, independent of technology.

Capability 1: Manage Complexity

Leaders need to be able to solve problems and make decisions under fast-changing conditions. This requires:

  • Being able to look at and understand organizations as complex social-technical systems
  • Keeping a continuous eye on change and adopting an “outside-in” vision of their organization
  • Moving fast and fixing things faster
  • Embracing digital literacy and technological capabilities

Capability 2: Leverage Networks

Leaders need to develop networks systematically to achieve organizational goals because it is no longer possible to work within silos. Leaders should:

  • Use networks to gain insights into complex problems
  • Create networks to enhance influence
  • Treat networks as mutually rewarding relationships
  • Develop a robust profile that can be adapted for different networks

Capability 3: Think and Act “Global”

Leaders should benchmark using global best practices but adapt them to local challenges and the needs of their organization. This requires:

  • Identifying what great companies are achieving and seeking data to understand underlying patterns
  • Developing perspectives to craft global strategies that incorporate regional and local tactics
  • Learning how to navigate culturally complex and nuanced business solutions

Capability 4: Inspire Engagement

Leaders must foster a culture that creates meaningful connections between employees and organizational values. This means:

  • Understanding individual values and needs
  • Shaping projects and assignments to meet different values and needs
  • Fostering an inclusive work environment with plenty of psychological safety
  • Developing meaningful conversations and both providing and receiving feedback
  • Sharing advice and asking for help when needed

Capability 5: Communicate Strategically

Leaders should develop crisp, clear messaging adaptable to various audiences and focus on active listening. Achieving this involves:

  • Creating their communication style and finding their unique voice
  • Developing storytelling skills
  • Utilizing a data-centric and fact-based approach to communication
  • Continual practice and asking for feedback

Capability 6: Foster Innovation

Leaders should collaborate with experts to build a reliable innovation process and a creative environment where new ideas thrive. Essential steps include:

  • Developing or enhancing structures that best support innovation
  • Documenting and refreshing innovation systems, processes, and practices
  • Encouraging people to discover new ways of working
  • Aiming to think outside the box and develop a growth mindset
  • Trying to be as “tech-savvy” as possible

Capability 7: Cultivate Learning Agility

Leaders should always seek out and learn new things and not be afraid to ask questions. This involves:

  • Adopting a lifelong learning mindset
  • Seeking opportunities to discover new approaches and skills
  • Enhancing problem-solving skills
  • Reviewing both successful and unsuccessful case studies

Capability 8: Develop Personal Adaptability

Leaders should be focused on being effective when facing uncertainty and adapting to change with vigor. Therefore, leaders should:

  • Be flexible about their approach to facing challenging situations
  • Build resilience by effectively managing stress, time, and energy
  • Recognize when past approaches do not work in current situations
  • Learn from and capitalize on mistakes

Curiosity and Adaptability

With the eight key capabilities in mind, Lerner suggests that curiosity and adaptability are the key skills that everyone needs to thrive in the current environment.

He also advocates for lifelong learning and teaches several key courses at OPIT which can lead to a Bachelor’s Degree in Digital Business.

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Lessons From History: How Fraud Tactics From the 18th Century Still Impact Us Today
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Apr 17, 2025 6 min read

Many people treat cyber threats and digital fraud as a new phenomenon that only appeared with the development of the internet. But fraud – intentional deceit to manipulate a victim – has always existed; it is just the tools that have changed.

In a recent online course for the Open Institute of Technology (OPIT), AI & Cybersecurity Strategist Tom Vazdar, chair of OPIT’s Master’s Degree in Enterprise Cybersecurity, demonstrated the striking parallels between some of the famous fraud cases of the 18th century and modern cyber fraud.

Why does the history of fraud matter?

Primarily because the psychology and fraud tactics have remained consistent over the centuries. While cybersecurity is a tool that can combat modern digital fraud threats, no defense strategy will be successful without addressing the underlying psychology and tactics.

These historical fraud cases Vazdar addresses offer valuable lessons for current and future cybersecurity approaches.

The South Sea Bubble (1720)

The South Sea Bubble was one of the first stock market crashes in history. While it may not have had the same far-reaching consequences as the Black Thursday crash of 1929 or the 2008 crash, it shows how fraud can lead to stock market bubbles and advantages for insider traders.

The South Sea Company was a British company that emerged to monopolize trade with the Spanish colonies in South America. The company promised investors significant returns but provided no evidence of its activities. This saw the stock prices grow from £100 to £1,000 in a matter of months, then crash when the company’s weakness was revealed.

Many people lost a significant amount of money, including Sir Isaac Newton, prompting the statement, “I can calculate the movement of the stars, but not the madness of men.

Investors often have no way to verify a company’s claim, making stock markets a fertile ground for manipulation and fraud since their inception. When one party has more information than another, it creates the opportunity for fraud. This can be seen today in Ponzi schemes, tech stock bubbles driven by manipulative media coverage, and initial cryptocurrency offerings.

The Diamond Necklace Affair (1784-1785)

The Diamond Necklace Affair is an infamous incident of fraud linked to the French Revolution. An early example of identity theft, it also demonstrates that the harm caused by such a crime can go far beyond financial.

A French aristocrat named Jeanne de la Mont convinced Cardinal Louis-René-Édouard, Prince de Rohan into thinking that he was buying a valuable diamond necklace on behalf of Queen Marie Antoinette. De la Mont forged letters from the queen and even had someone impersonate her for a meeting, all while convincing the cardinal of the need for secrecy. The cardinal overlooked several questionable issues because he believed he would gain political benefit from the transaction.

When the scheme finally exposed, it damaged Marie Antoinette’s reputation, despite her lack of involvement in the deception. The story reinforced the public perception of her as a frivolous aristocrat living off the labor of the people. This contributed to the overall resentment of the aristocracy that erupted in the French Revolution and likely played a role in Marie Antoinette’s death. Had she not been seen as frivolous, she might have been allowed to live after her husband’s death.

Today, impersonation scams work in similar ways. For example, a fraudster might forge communication from a CEO to convince employees to release funds or take some other action. The risk of this is only increasing with improved technology such as deepfakes.

Spanish Prisoner Scam (Late 1700s)

The Spanish Prisoner Scam will probably sound very familiar to anyone who received a “Nigerian prince” email in the early 2000s.

Victims received letters from a “wealthy Spanish prisoner” who needed their help to access his fortune. If they sent money to facilitate his escape and travel, he would reward them with greater riches when he regained his fortune. This was only one of many similar scams in the 1700s, often involving follow-up requests for additional payments before the scammer disappeared.

While the “Nigerian prince” scam received enough publicity that it became almost unbelievable that people could fall for it, if done well, these can be psychologically sophisticated scams. The stories play on people’s emotions, get them invested in the person, and enamor them with the idea of being someone helpful and important. A compelling narrative can diminish someone’s critical thinking and cause them to ignore red flags.

Today, these scams are more likely to take the form of inheritance fraud or a lottery scam, where, again, a person has to pay an advance fee to unlock a much bigger reward, playing on the common desire for easy money.

Evolution of Fraud

These examples make it clear that fraud is nothing new and that effective tactics have thrived over the centuries. Technology simply opens up new opportunities for fraud.

While 18th-century scammers had to rely on face-to-face contact and fraudulent letters, in the 19th century they could leverage the telegraph for “urgent” communication and newspaper ads to reach broader audiences. In the 20th century, there were telephones and television ads. Today, there are email, social media, and deepfakes, with new technologies emerging daily.

Rather than quack doctors offering miracle cures, we see online health scams selling diet pills and antiaging products. Rather than impersonating real people, we see fake social media accounts and catfishing. Fraudulent sites convince people to enter their bank details rather than asking them to send money. The anonymity of the digital world protects perpetrators.

But despite the technology changing, the underlying psychology that makes scams successful remains the same:

  • Greed and the desire for easy money
  • Fear of missing out and the belief that a response is urgent
  • Social pressure to “keep up with the Joneses” and the “Bandwagon Effect”
  • Trust in authority without verification

Therefore, the best protection against scams remains the same: critical thinking and skepticism, not technology.

Responding to Fraud

In conclusion, Vazdar shared a series of steps that people should take to protect themselves against fraud:

  • Think before you click.
  • Beware of secrecy and urgency.
  • Verify identities.
  • If it seems too good to be true, be skeptical.
  • Use available security tools.

Those security tools have changed over time and will continue to change, but the underlying steps for identifying and preventing fraud remain the same.

For more insights from Vazdar and other experts in the field, consider enrolling in highly specialized and comprehensive programs like OPIT’s Enterprise Security Master’s program.

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