

Natural language processing, or NLP for short, has been making waves for years, but as of late, it has caught the attention of even non-tech enthusiasts. Why is that? Simply put, natural language processing bridges human language and computer understanding to make interactions feel more natural and less like talking to machines.
For tech professionals, NLP skills have grown from “nice-to-have” status a few years ago to some of the most significant skills of the decade. The field is growing quickly, and many are interested in taking on the challenge. Luckily, many resources online can get you there and are flexible, in-depth, and practical.
Understanding Natural Language Processing
Natural language processing is an element of artificial intelligence (AI) that deals with the interaction between computers and humans using natural language.
Traditionally, human-computer interactions have largely been done through predefined commands within terminals or graphical user interfaces that obscure the “commands” behind graphical interactions. These interactions work well and aren’t going away. However, instructing a computer by “speaking” to it has been within the realm of science fiction for decades but has also been a research goal of many computer scientists for a long while.
The goal of natural language processing is to read, decipher, understand, and make sense of human language in a valuable way. Recently, it has been integrated into everything from search engines figuring out what users are searching for to translating languages on the fly. It’s even a part of predictive text that finishes sentences, particularly on mobile phone keyboards. Taking a course in NLP gives you a new skill for the CV that opens doors to many employment positions across sectors.
Choosing the Right NLP Course Online
When searching for the right NLP course, consider what you need. Specifically, focus on these:
- Curriculum
- Instructors
- Recognition
- Experience
Does the curriculum cover the latest in NLP technology? The field evolves fast, sometimes with several breakthroughs or at least advancements a year. Course material and curriculum that’s several years behind might miss some of the new developments.
Are the instructors seasoned professionals? The more experience one has in the field, the better equipped they are to pass that knowledge down.
Is the NLP course recognized by industry leaders? It isn’t a matter of appealing to authority but rather knowing that the course is of high enough quality to be considered valuable and useful.
And let’s not forget about the hands-on experience. You can’t really learn NLP just by reading about it. It would be best to try your hands in real-life projects and workshops.
Most NLP courses will walk you through the basics of machine learning, algorithms that power NLP, and hands-on projects that solidify your knowledge.
OPIT offers a full NLP course as a part of the Master of Science (MSc) in Responsible Artificial Intelligence program. The course gives you a solid theoretical foundation and plenty of hands-on experience, presented by instructors who are experts in the field. The degree teaches you how to use NLP and use it ethically and responsibly.
A List of the Best NLP Online Courses
Here are some standout NLP online courses:
- Coursera’s Natural Language Processing Specialization is for intermediate learners and spans over four months. It covers logistic regression, naive Bayes, word vectors, sentiment analysis, and more. The program is a comprehensive one that combines theory with practical assignments.
- Stanford Online’s Natural Language Processing with Deep Learning focuses on the cutting-edge intersection of NLP and deep learning. It’s an in-depth exploration of NLP’s fundamental concepts and its role in emerging technologies. This course is perfect for those looking to get a solid foundation in NLP from one of the leading institutions in the world.
- edX Natural Language Processing Courses & Programs: edX provides an intro to NLP that covers core techniques and computational linguistics. Topics include text processing, text mining, sentiment analysis, and topic modeling. It’s a great starting point for beginners and offers a broad overview of what NLP entails.
- DeepLearning.AI’s Natural Language Processing in TensorFlow on Coursera was designed by one of the pioneers in AI education. It offers practical insights into implementing NLP techniques using TensorFlow. The course covers processing text, representing sentences as vectors, and building NLP models.
- Udacity’s Natural Language Processing Nanodegree is project-focused with hands-on NLP learning. It covers foundational NLP concepts, including text processing, part-of-speech tagging, and sentiment analysis.
While these are the best natural language processing courses online, OPIT’s MSc in Responsible Artificial Intelligence, including NLP as part of its curriculum, is unique. This program teaches you NLP and embeds it within the broader context of artificial intelligence development, AI ethics, and responsible use. It’s excellent for those who want to go beyond the technical aspects and consider the societal impacts of their work in AI.
Benefits of Enrolling in an NLP Online Course
Attending an NLP course online might give you more than traditional on-site education. One of the biggest advantages is flexibility. You can learn at your own pace and on your schedule.
Online courses also open up networking opportunities with peers and mentors from around the globe. These are connections that on-site education would not have the scope to provide. Moreover, completing an NLP course can significantly boost your career prospects, potentially leading to job promotions and salary increases.
NLP Certification and Career Opportunities
With this certification, you’re proving your ability to understand and manipulate natural language data, making you invaluable in roles from data science and AI development to UX/UI design and content strategy.
Companies, from tech giants to startups, are on the lookout for professionals who can bridge the gap between human communication and machine understanding. The demand also translates into diverse job opportunities, competitive salaries, and the potential to work on groundbreaking projects in AI, machine learning, marketing, research, finance, and customer experience, among others.
Natural Machine Communication
NLP leads many of today’s technological advancements, making skills in this area more valuable than ever. Natural language processing courses that equip students with skills in natural language processing, AI, and related fields are growing in both offer and popularity. Completing one of these NLP courses sets you on a course for a financially promising career path within one of the most prestigious tech fields.
Get the right education and get ready for the future. Check out OPIT’s NLP course offerings within the MSc in Responsible Artificial Intelligence program or as a subject within our other computer science degrees.
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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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