Growth is inevitable in the AI sector. According to Statista, the already-booming industry looks set to go from a value of $100 billion in 2021 to $2 trillion by 2030, increasing by a multiple of 20 to become one of the world’s biggest industries. Naturally, the need for skilled AI professionals will grow alongside that enormous scaling.

That’s where you come in.

With the right applied AI course, you can develop both the knowledge of the foundational theory that sits behind AI and learn how to apply that theory in a real-world setting. Here are four of the best applied AI courses to get you started.

Factors to Consider When Choosing an Applied AI Course

Every search for a new course starts with figuring out the strengths and weaknesses of each one you consider. These factors help you do that, ensuring you don’t spend your hard-earned money on a course that fails to equip you with skills that make you desirable to employers.

Course Content and Curriculum

AI is such an expansive field that every applied AI course has the potential to cover different topics and subjects. Think about what you want to learn (and your prospective career path), then align your course selection with that intended path.

Course Duration

Applied AI courses can vary tremendously in length, from several years for degree-level courses to a few months for online courses. Ask yourself how long you wish to spend studying. Also, consider the flexibility of the course, such as whether you’ll be able to fit your studies around your existing work and family commitments.

Instructor Expertise

AI is a burgeoning industry, meaning expertise levels vary from course to course. For applied AI courses, in particular, you want professors who combine in-depth knowledge of the theory with real-world experience. What have they done in the industry? If the answer is “nothing,” they may not be able to guide you down the path to an AI-centric career.

Course Fees and Financial Aid

Course fees vary massively depending on the type of course you take. For example, those in the U.K. can easily spend between £15,000 and £25,000 on university-level courses, with Aston University’s tuition fees of £23,200 being somewhat typical. Online and self-learning courses cost considerably less, so you need to figure out how much you’re willing to spend (and if you can get any help with your fees) before moving forward.

Job Placement and Career Support

Though you need one eye pointed toward the present when choosing between applied AI courses, the other needs to be firmly pointed toward the future. What prospects will you have when you complete the course? In other words, does the course provide you with a direct path into the industry, along with support, or are you left to fend for yourself once you have your qualification?

Top Choices for Mastering Artificial Intelligence

Choices abound when you jump online to find applied AI courses. The following selection offers a nice mix, from online certifications offered by industry professionals to a couple of courses from some of the world’s most prestigious universities.

Course 1 – IBM Applied AI Professional Certification

If you’re fresh to the world of AI (though ideally not new to computer science), IBM’s industry-specific applied AI courses offer both foundational knowledge and a respected qualification. They’re flexible, too, with this course lasting for six months but only requiring three hours of work per work. Those in full-time work (or education) can fit the course around their lifestyle, while those who have time to burn can complete the entire course much quicker, earning degree credits along the way.

Key Features and Benefits

  • Certification from one of the most respected companies in the AI space
  • Direct exposure to use cases in the deep learning, machine learning, and neural network spheres
  • Learn how to build AI-powered solutions (like chatbots) using Python and IBM’s Watson AI
  • Over three-quarters (77%) of students report career improvement

Pricing and Enrollment

IBM’s course is available via Coursera and offers a seven-day trial you can use to get to grips with its structure and examine its modules. It’s fully online, which improves flexibility at the cost of not having direct access to a professor, and you’ll receive an IBM badge upon completion. You’ll pay a monthly fee of $35 (approx. €31) and can enroll at almost any time.

Course 2 – Computer Science for Artificial Intelligence (Harvard University)

Harvard University may be seen as the gold standard in the United States, but what many don’t know is that it offers a comprehensive suite of online courses that almost anybody can take. Its Computer Science for Artificial Intelligence course is a perfect example. Comprising of two courses – an introduction to computer science followed by an introduction to applying computer science principles to AI using Python – it lasts for five months. You get access to professors and can learn at your own pace, with the course recommending between seven and 22 hours of study per week.

Key Features and Benefits

  • Two modules give you a crash course in applied AI and the computer science theory that underpins it
  • Director access to Harvard professors Doug Lloyd, Brian Yu, and David J. Malan
  • Complete flexibility in how and when you learn
  • Get to grips with Python and build experience with machine learning libraries

Payment and Enrollment

As an online course, Computer Science for Artificial Intelligence is available for enrollment whenever you’re ready, with the five months starting once you’re enrolled. It costs £277 (approx. €312) and you’ll need to create an account with the EDX website (which hosts the course) to get started.

Course 3 – Artificial Intelligence Graduate Certificate (Stanford University)

Ranked as the third-best university in the United States for general computer science and AI teaching, Stanford University has opened up some of its best courses to online learners. Entirely online (and instructor-led for those who want more guidance) this is one of those applied AI courses that is equivalent to a full graduate degree. You’ll complete at least one required course – with a choice between machine learning and the principles of AI – and select up to three electives. It’s the electives that make this course stand out, as there are 18 to choose from, with the right combination giving you a chance to specialize for specific career paths.

Key Benefits and Features

  • Direct tuition from prominent Stanford faculty members, including Andrew Ng and Chelsea Finn
  • Some level of autonomy in how you study thanks to the online-centric nature of the course
  • Specialize in specific areas of AI thanks to a wide range of electives
  • You get a degree from one of the world’s foremost colleges in the AI field

Payment and Enrollment

Let’s get the bad news out of the way immediately – this isn’t a cheap course. As a full-on graduate degree, it costs between $18,200 and $22,400 to take (approx. €16,235 and €19,980), though financial aid may be available for some students. You can’t just hop onto the course, either, as a college-level understanding of calculus, linear algebra, Probability Theory, and several programming languages is required. Stanford itself calls this one of its most difficult courses and recommends that you take several foundation courses (ideally at degree level) before enrolling.

Course 4 – Master in Applied Data Science & AI (OPIT)

As a full postgraduate course that takes between 12 and 18 months to complete, OPIT’s Master in Applied Data Science & AI is an interesting case for one simple reason – there are no computer science prerequisites. The course is open to everybody and it teaches both advanced applied AI concepts and the foundational knowledge needed to understand them. You’ll complete a pair of terms containing courses, with your final term dedicated to a project or thesis that puts what you’ve learned into practice.

Key Benefits and Features

  • The course is supplied by an institution with accreditation from the European Qualification Framework
  • It’s a fully remote course that gives you control over how and when you learn
  • Discounts and payment plans are available, as well as scholarship and funding options
  • You come out of the course with a recognized postgraduate degree

Payment and Enrollment

Though the course usually costs €6,500, OPIT offers “early bird” discounts that allow you to enroll for €4,950, assuming you sign up early enough. Intakes are semi-regular, with the next one scheduled for October 2023 and international students get 90 credits under the European Credit Transfer and Accumulation System (ECTS) for successful completion.

Tips for Success in an Applied AI Course

As you can see, you have plenty of options for applied AI courses, from professional certifications designed to get you into a career quickly to full postgraduate degrees. Regardless of your choice, these tips will help you get your precious certification:

  • Dedicate time for study – Time well managed is time well spent. Understand that you’ll need to dedicate self-learning time to get to grips with concepts you’re taught during classroom hours.
  • Set clear goals – Going into an applied AI course with no sense of what you’re supposed to get out of that course leaves you directionless upon completion. Make sure you know exactly what you stand to gain before committing time (and money) to a course.
  • Network often – Even online courses give you a chance to get involved in teamwork projects and speak to experienced industry professionals. Take those chances. The more connections you build during your studies, the more opportunities you’ll see coming out of the back end.
  • Seek guidance – As attractive as the prospect of self-guided learning may be, we all need a helping hand from time to time. If a course provides direct access to tutors and professors, use it.
  • Stay up to date – AI is a fast-moving field, with every change and advancement bringing new challenges and opportunities. Stay on top of what’s happening in the industry. You may just find that one course sets you up to be ready for those changes, while another may not.

Build Your Skills With an Applied AI Course

Whether you go down the full postgraduate degree route or you choose a professional qualification, an applied AI course is a route into one of the world’s fastest-growing industries. Simply put, we’re set for an AI explosion. Over the next decade, AI will permeate everything we do, from complex computing to simple office tasks, and you can use the right course to give yourself the skills you need to take advantage of that fact. Explore the options shared in this article, ask yourself what you want to achieve in your career, and make the educational choice that’s right for you.

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Juggling Work and Study: Interview With OPIT Student Karina
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Jun 5, 2025 6 min read

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.

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Leading in the Digital Age: Navigating Strategy in the Metaverse
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Jun 5, 2025 5 min read

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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