Technology transforms the world in so many ways. Ford’s introduction of the assembly line was essential to the vehicle manufacturing process. The introduction of the internet changed how we communicate, do business, and interact with the world. And in machine learning, we have an emerging technology that transforms how we use computers to complete complex tasks.
Think of machine learning models as “brains” that machines use to actively learn. No longer constrained by rules laid out in their programming, machines have the ability to develop an understanding of new concepts and deliver analysis in ways they never could before. And as a prospective machine learning student, you can become the person who creates the “brains” that modern machines use now and in the future.
But you need a good starting point before you can do any of that. This article covers three of the best machine learning tutorials for beginners who want to get their feet wet while building foundational knowledge that serves them in more specialized courses.
Factors to Consider When Choosing a Machine Learning Tutorial
A machine learning beginner can’t expect to jump straight into a course that delves into neural networking and deep learning and have any idea what they’re doing. They need to learn to crawl before they can walk, making the following factors crucial to consider when choosing a machine learning tutorial for beginners.
- Content quality. You wouldn’t use cheap plastic parts to build an airplane, just like you can’t rely on poor-quality course content to get you started with machine learning. Always look for reviews of a tutorial before engaging, in addition to checking the credentials of the provider to ensure they deliver relevant content that aligns with your career goals.
- Instructor expertise. Sticking with our airplane analogy, imagine being taught how to pilot a plane by somebody who’s never actually flown. It simply wouldn’t work. The same goes for a machine learning tutorial, as you need to see evidence that your instructor does more than parrot information that you can find elsewhere. Look for real-world experience and accreditation from recognized authorities.
- Course structure and pacing. As nice as it would be to have an infinite amount of free time to dedicate to learning, that isn’t a reality for anybody. You have work, life, family, and possibly other study commitments to keep on top of, and your machine learning tutorial has to fit around all of it.
- Practical and real-world examples. Theoretical knowledge can only take you so far. You need to know how to apply what you’ve learned, which is why a good tutorial should have practical elements that test your knowledge. Think of it like driving a car. You can read pages upon pages of material on how to drive properly but you won’t be able to get on the road until you’ve spent time learning behind the wheel.
- Community support. Machine learning is a complex subject and it’s natural to feel a little lost with the materials in many tutorials. A strong community gives you a resource base to lean into, in addition to exposing you to peers (and experienced tech-heads) who can help you along or point you in the right career direction.
Top Three Machine Learning Tutorials for Beginners
Now you know what to look for in a machine learning tutorial for beginners, you’re ready to start searching for a course. But if you want to take a shortcut and jump straight into learning, these three courses are superb starting points.
Tutorial 1 – Intro to Machine Learning (Kaggle)
Offered at no cost, Intro to Machine Learning is a three-hour self-paced course that allows you to learn as and when you feel like learning. All of which is helped by Kaggle’s clever save system. You can use it to save your progress and jump back into your learning whenever you’re ready. The course has seven lessons, the first of which offers an introduction to machine learning as a concept. Whereas the other six dig into more complex topics and come with an exercise for you to complete.
Those little exercises are the tutorial’s biggest plus point. They force you to apply what you’ve learned before you can move on to the next lesson. The course also has a dedicated community (led by tutorial creator Dan Becker) that can help you if you get stuck. You even get a certificate for completing the tutorial, though this certificate isn’t as prestigious as one that comes from an organization like Google or IBM.
On the downside, the course isn’t a complete beginner’s course. You’ll need a solid understanding of Python before you get started. Those new to coding should look for Python courses first or they’ll feel lost when the tutorial starts throwing out terminology and programming libraries that they need to use.
Ideal for students with experience in Python who want to apply the programming language to machine learning models.
Tutorial 2 – What Is Machine Learning? (Udemy)
You can’t build a house without any bricks and you can’t build a machine learning model before you understand the different types of learning that underpin that model. Those different types of learning are what the What is Machine Learning tutorial covers. You’ll get to grips with supervised, unsupervised, and reinforcement learning, which are the three core learning types a machine can use to feed its “brain.”
The course introduces you to real-world problems and helps you to see which type of machine learning is best suited to solving those problems. It’s delivered via online videos, totaling just under two hours of teaching, and includes demonstrations in Python to show you how each type of learning is applied to real-world models. All the resources used for the tutorial are available on a GitHub page (which also gives you access to a strong online community) and the tutorial is delivered by an instructor with over 27 years of experience in the field.
It’s not the perfect course, by any means, as it focuses primarily on learning types without digging much deeper. Those looking for a more in-depth understanding of the algorithms used in machine learning won’t find it here, though they will build foundational knowledge that helps them to better understand those algorithms once they encounter them. As an Udemy course, it’s free to take but requires a subscription to the service if you want a certificate and the ability to communicate directly with the course provider.
Ideal for students who want to learn about the different types of machine learning and how to use Python to apply them.
Tutorial 3 – Machine Learning Tutorial (Geeksforgeeks)
As the most in-depth machine learning tutorial for beginners, the Geeksforgeeks offering covers almost all of the theory you could ever hope to learn. It runs the gamut from a basic introduction to machine learning through to advanced concepts, such as natural language processing and neural networks. And it’s all presented via a single web page that acts like a hub that links you to many other pages, allowing you to tailor your learning experience based on what aligns best with your goals.
The sheer volume of content on offer is the tutorial’s biggest advantage, with dedicated learners able to take themselves from complete machine learning newbies to accomplished experts if they complete everything. There’s also a handy discussion board that puts you in touch with others taking the course. Plus, the “Practice” section of the tutorial includes real-world problems, including a “Problem of the Day” that you can use to test different skills.
However, some students may find the way the material is presented to be a little disorganized and it’s easy to lose track of where you are among the sea of materials. The lack of testing (barring the two or three projects in the “Practice” section) may also rankle with those who want to be able to track their progress easily.
Ideal for self-paced learners who want to be able to pick and choose what they learn and when they learn it.
Additional Resources for Learning Machine Learning
Beyond tutorials, there are tons of additional resources you can use to supplement your learning. These resources are essential for continuing your education because machine learning is an evolving concept that changes constantly.
- Books. Machine learning books are great for digging deeper into the theory you learn via a tutorial, though they come with the downside of offering no practical examples or ways to interact with authors.
- YouTube channels. YouTube videos are ideal for visual learners and they tend to offer a free way to build on what you learn in a tutorial. Examples of great channels to check out include Sentdex and DeepLearningAI, with both channels covering emerging trends in the field alongside lectures and tutorials.
- Blogs and websites. Blogs come with the advantage of the communities that sprout up around them, which you can rely on to build connections and further your knowledge. Of course, there’s the information shared in the blogs, too, though you must check the writer’s credentials before digging too deep into their content.
Master a Machine Learning Tutorial for Beginners Before Moving On
A machine learning tutorial for beginners can give you a solid base in the fundamentals of an extremely complex subject. With that base established, you can build up by taking other courses and tutorials that focus on more specialized aspects of machine learning. Without the base, you’ll find the learning experience much harder. Think of it like building a house – you can’t lay any bricks until you have a foundation in place.
The three tutorials highlighted here give you the base you need (and more besides), but it’s continued study that’s the key to success for machine learning students. Once you’ve completed a tutorial, look for books, blogs, YouTube channels, and other courses that help you keep your knowledge up-to-date and relevant in an ever-evolving subject.
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From the same author
Read the articleMore and more students are turning to careers in computer science, and it’s easy to see why. The world is becoming increasingly reliant on and powered by modern technology with every passing day.
Emerging innovations like artificial intelligence (AI) and cloud computing are set to change the face of countless industries. This means qualifications in computer science unlock the doors to countless job opportunities.
However, this is also a dynamic and rapidly changing field – a field that demands a distinct set of core skills to not only achieve success, but also future-proof your career for years to come.
The Importance and Value of Computer Science and Cloud Computing Qualifications
Official statistics show that the European cloud computing market is set to experience an astonishing compound annual growth rate (CAGR) of almost 23% in the coming years, moving from a value of €110 billion in 2024 to a lower-end estimate €250 billion by 2028, and it won’t stop there.
The same sort of growth is being seen across the full spectrum of computer science fields and industries, with emerging technologies like AI, automation, and edge computing all spearheading the surging value and importance of these sectors.
The increasing shift away from conventional computing towards cloud computing shows just how quickly the technological world changes and evolves. It also demonstrates the need for professionals with a wide and varied range of skills, plus the ability to adapt to rapidly changing situations.
Those who can bring these skills to the table, supported by a comprehensive education and effective computer science qualifications, can enjoy:
- Entry into job markets that have exceptionally high levels of demand.
- Diverse career opportunities in fields that range from AI and machine learning to computer engineering and software development.
- Competitive salaries, with consistently high rates offered all around the world.
- Job security and stability, given the ever-increasing significance of technology in the modern world.
Core Skills to Master for Long Careers in Computer Science
Next, let’s look into the actual specific skills that computer science students and aspiring leaders will need to master to secure their futures.
Programming Languages
Being able to work with code is the bedrock of almost any career in computer science. Aspiring scientists will need to master one or several programming languages, including Java for building business and web apps, Python for web development, and C++ for system programming.
Networks and Architectures
Computer scientists also need a strong core knowledge of the fundamentals of the computing world, like how networks function, the various protocols and architectures that control the flow of data from device to device, etc.
Algorithms and Data
Algorithms play a fundamental role in fields like AI and machine learning, so computer scientists must understand how different algorithms and data structures drive computing processes, problem-solving, and development.
Software Development
Computer scientists may spend much of their time working on development projects post-graduation, which may include apps for the web, business, mobile, and more. A strong understanding of the stages of the software development lifecycle and processes involved is, therefore, essential.
Cloud Computing
With cloud computing growing in importance, unlocking whole new fields, like software as a service (SaaS) and desktop as a service (DaaS), the computer scientists of tomorrow will also need to have intricate knowledge of how cloud computing works and the potential it holds.
Soft Skills
Along with the many technical skills listed above, computer scientists will also benefit from vital soft skills that will help them when collaborating with others, presenting their ideas, driving innovation in their chosen fields, leading teams, and managing projects. These skills include:
- Being able to communicate effectively, both with fellow computer scientists and non-technical audiences as well
- Analytical thinking and problem-solving skills that help scientists understand and respond to challenges
- Adaptability, so that scientists can keep on learning, evolving their skill sets, and embracing new tech and ideas as they emerge
- The ability to work as part of a team, often fundamental for large-scale computing projects
- Attention to detail that allows you to spot that single line of code that needs fixing, or for tasks like debugging and data interpretation
Get the Best Start With a BSc in Computer Science at OPIT
We’ve seen the skills you need to succeed in computer science and cloud computing for years to come, but one question remains: where is the best place to gain these skills and acquire the necessary knowledge for genuine long-term success?
The answer: the Open Institute of Technology (OPIT).
An exclusively online learning platform specializing in computer science and digital business, OPIT offers a curated collection of online degrees for tomorrow’s technology leaders, including a Foundation Program for beginners, bachelor’s programs, and master’s degrees for the most experienced students.
Why Study at OPIT?
Advantages of studying with OPIT include:
- Accessible and flexible online learning to suit your needs and pace
- A focus on real-world applications of the skills and knowledge imparted
- A leading team of top tutors and professors from diverse fields and nations
- An international community of students with which to collaborate
- Progressive assessment of skills and knowledge, as opposed to exam-heavy schedules
Those planning pathways into computer science and cloud computing are best served by OPIT’s BSc in Computer Science program.
Lasting six terms and worth 180 ECTS credits, this fully remote, online, and accredited undergraduate degree was developed with insights from industry leaders, academics, and employers within the IT industry.
It equips graduates with both the fundamental theoretical knowledge they need to succeed in technology, as well as the practical skills required to enter the world of work and immediately innovate in fields like programming, cybersecurity, data science, AI, and cloud computing.
Like other courses and programs available at OPIT, this BSc in Computer Science provides students with a flexible learning program involving a mixture of recorded and engaging live content, progressive assessment, fast-track options for those who study at a faster pace, and round-the-clock accessibility to tutors and fellow learners.
If you feel that computer science or cloud computing is the right path for you, and you want to secure the foundational skills you need to succeed, consider the OPIT BSc in Computer Science to help you achieve your dreams.
Read the articleOn September 8, 2025, the Open Institute of Technology (OPIT) officially inaugurated its 2025/26 academic year, welcoming a whole host of new students into the institute, ready to gain the skills and knowledge they need to be the tech industry leaders of tomorrow.
Faculty members, guest speakers from around the world, and hundreds of students from over 100 nations were all in attendance at the online inauguration event. Among them was one new student on the MSc in Responsible AI program: Rem Lampa, also known by his online alias, Kuya Dev.
A Filipino podcaster, speaker, and developer, Kuya Dev documented the inauguration experience in a YouTube video, sharing his thoughts on the event. Here’s a detailed look at his experience, showing the welcoming and effective way in which new OPIT students are brought into the institute from the first day.
An Overview of the Inauguration Event
The latest OPIT inauguration event was one to remember, with the institute celebrating several notable milestones. These included the first graduation of the MSc in Applied Data Science and AI program, and the unveiling of new industry connections and corporate partners offering opportunities for graduates.
Various guest speakers were in attendance, including the former Italian Minister of Education and current OPIT Rector, Professor Francesco Profumo, plus the CEO of Malta’s accreditation authority MFHEA, Dr. Rose Anne Cuschieri.
OPIT founder, Riccardo Ocleppo, also took to the stage to highlight the transformative role of education and the unique possibilities offered by the online-only OPIT degrees, stating:
“When we launched OPIT in 2022, we wanted to prove that an online degree could be rigorous, international, deeply connected to the world of work, and engaging. Three years later, we can already see results. This year alone, 300 new students are joining us, representing 98 nationalities.”
Those hundreds of new students were also, naturally, in attendance for their big inauguration day, welcomed into the institute’s various BSc and MSc programs in specialties like Computer Science, Digital Business, Digital Business and Innovation, and Cybersecurity.
Introducing Rem ‘Kuya Dev’ Lampa
As mentioned, one of the new students joining was vlogger and podcaster, Kuya Dev.
Already boasting extensive experience and technical expertise in the computing world, Kuya Dev has founded several tech communities, including Tech Career Shifter Philippines and Server-Side JavaScript.
He describes himself as an advocate for responsible AI and tech practices, and once gave a powerful TEDx talk about the negative potential impacts of artificial intelligence (AI), including its large carbon footprint and involving exploitation of workers in emerging nations. So, it was only fitting that he signed up for OPIT’s MSc in Responsible AI.
The MSc in Responsible AI Program
A postgraduate program lasting three or four terms (between 12 and 24 months, total), OPIT’s MSc in Responsible AI is an accredited program that combines technical skills with a core focus on the ethical implications of AI technology.
It explores real-world use cases of AI and ways in which this exciting and powerful technology can be used responsibly and sustainably, emphasizing its potential for both positive and negative change in areas such as the environment and society as a whole.
Students of this program enjoy all the usual benefits that come with studying at OPIT, like flexible-paced learning, tutors available on a daily basis, a dynamic and engaging online learning environment, and fair, progressive assessments over time.
Those who graduate can move into careers in AI Application Development, AI Research, and AI Business Consulting.
Highlights and Impressions of Kuya Dev’s Inauguration Experience
Inauguration is always a special moment in any student’s academic journey as they take their first tentative yet exciting steps towards new knowledge and skills that can unlock their potential and accelerate their development.
It can even be a “make-or-break” moment in which students can either feel welcomed, empowered, and eager to begin their studies, or, conversely, experience feelings of worry, doubt, or regret if the inauguration lacks the spark they were hoping to feel.
Fortunately, Kuya Dev and his many fellow new OPIT students had a very positive experience at the inauguration event, with the vlogger calling it both “very fruitful” and “very insightful.” Some of the specific highlights he mentioned included:
An International Community
Early in the inauguration event, Kuya Dev heard from Professor Francesco Profumo about how OPIT was welcoming students from over 90 countries.
This, for Kuya Dev and for so many other students, is one of the big perks of studying with OPIT. It allows students to meet, engage, and exchange with people from dozens of different backgrounds, cultures, and communities, learning new ways of thinking and collaborating.
Real World Applications
The OPIT inauguration also focused on another of the university’s key features: a focus not merely on imparting knowledge to students or making them memorize facts, figures, and theorems, but actually teaching them how to apply that knowledge and ideas to real-world uses.
Kuya Dev commented on how other universities that he had considered attending appeared more conventional and limited in their approach, and also shared his excitement and enthusiasm at OPIT’s unique approach, focusing more on genuine industry collaboration and real-life scenarios.
Inspiring Speakers
The vlogger and podcaster also commented on the various key speakers who hosted the event. He was pleased to see that they were not only academically oriented but also all had real-world experience and a diverse range of working backgrounds in fields like politics.
This, too, is part of what makes OPIT different. It features a winning team of international tutors, professors, and experts from diverse fields, including the aforementioned former Italian Education Minister, education executives, research chairs, digital content creation specialists, and more.
Graduate Experiences
Finally, Kuya Dev noted how several OPIT graduates spoke to those about to follow the same path they did, including students from nations as diverse as the U.S., Italy, and Nigeria.
They all shared their experiences and detailed what they enjoyed most about studying with OPIT, including key factors such as professors who took the time to get to know their students, as well as the depth of the topics and knowledge covered in each course.
A Successful First Step Into OPIT Education
All in all, the recent inauguration event was a major success for all involved, giving students like Kuya Dev the ideal introduction to life and study with OPIT. He, like so many of his new fellow students, left the event eager and excited to expand their knowledge and broaden their horizons in unique ways that only OPIT can provide.
-
Go to all authors
Related posts
More and more students are turning to careers in computer science, and it’s easy to see why. The world is becoming increasingly reliant on and powered by modern technology with every passing day.
Emerging innovations like artificial intelligence (AI) and cloud computing are set to change the face of countless industries. This means qualifications in computer science unlock the doors to countless job opportunities.
However, this is also a dynamic and rapidly changing field – a field that demands a distinct set of core skills to not only achieve success, but also future-proof your career for years to come.
The Importance and Value of Computer Science and Cloud Computing Qualifications
Official statistics show that the European cloud computing market is set to experience an astonishing compound annual growth rate (CAGR) of almost 23% in the coming years, moving from a value of €110 billion in 2024 to a lower-end estimate €250 billion by 2028, and it won’t stop there.
The same sort of growth is being seen across the full spectrum of computer science fields and industries, with emerging technologies like AI, automation, and edge computing all spearheading the surging value and importance of these sectors.
The increasing shift away from conventional computing towards cloud computing shows just how quickly the technological world changes and evolves. It also demonstrates the need for professionals with a wide and varied range of skills, plus the ability to adapt to rapidly changing situations.
Those who can bring these skills to the table, supported by a comprehensive education and effective computer science qualifications, can enjoy:
- Entry into job markets that have exceptionally high levels of demand.
- Diverse career opportunities in fields that range from AI and machine learning to computer engineering and software development.
- Competitive salaries, with consistently high rates offered all around the world.
- Job security and stability, given the ever-increasing significance of technology in the modern world.
Core Skills to Master for Long Careers in Computer Science
Next, let’s look into the actual specific skills that computer science students and aspiring leaders will need to master to secure their futures.
Programming Languages
Being able to work with code is the bedrock of almost any career in computer science. Aspiring scientists will need to master one or several programming languages, including Java for building business and web apps, Python for web development, and C++ for system programming.
Networks and Architectures
Computer scientists also need a strong core knowledge of the fundamentals of the computing world, like how networks function, the various protocols and architectures that control the flow of data from device to device, etc.
Algorithms and Data
Algorithms play a fundamental role in fields like AI and machine learning, so computer scientists must understand how different algorithms and data structures drive computing processes, problem-solving, and development.
Software Development
Computer scientists may spend much of their time working on development projects post-graduation, which may include apps for the web, business, mobile, and more. A strong understanding of the stages of the software development lifecycle and processes involved is, therefore, essential.
Cloud Computing
With cloud computing growing in importance, unlocking whole new fields, like software as a service (SaaS) and desktop as a service (DaaS), the computer scientists of tomorrow will also need to have intricate knowledge of how cloud computing works and the potential it holds.
Soft Skills
Along with the many technical skills listed above, computer scientists will also benefit from vital soft skills that will help them when collaborating with others, presenting their ideas, driving innovation in their chosen fields, leading teams, and managing projects. These skills include:
- Being able to communicate effectively, both with fellow computer scientists and non-technical audiences as well
- Analytical thinking and problem-solving skills that help scientists understand and respond to challenges
- Adaptability, so that scientists can keep on learning, evolving their skill sets, and embracing new tech and ideas as they emerge
- The ability to work as part of a team, often fundamental for large-scale computing projects
- Attention to detail that allows you to spot that single line of code that needs fixing, or for tasks like debugging and data interpretation
Get the Best Start With a BSc in Computer Science at OPIT
We’ve seen the skills you need to succeed in computer science and cloud computing for years to come, but one question remains: where is the best place to gain these skills and acquire the necessary knowledge for genuine long-term success?
The answer: the Open Institute of Technology (OPIT).
An exclusively online learning platform specializing in computer science and digital business, OPIT offers a curated collection of online degrees for tomorrow’s technology leaders, including a Foundation Program for beginners, bachelor’s programs, and master’s degrees for the most experienced students.
Why Study at OPIT?
Advantages of studying with OPIT include:
- Accessible and flexible online learning to suit your needs and pace
- A focus on real-world applications of the skills and knowledge imparted
- A leading team of top tutors and professors from diverse fields and nations
- An international community of students with which to collaborate
- Progressive assessment of skills and knowledge, as opposed to exam-heavy schedules
Those planning pathways into computer science and cloud computing are best served by OPIT’s BSc in Computer Science program.
Lasting six terms and worth 180 ECTS credits, this fully remote, online, and accredited undergraduate degree was developed with insights from industry leaders, academics, and employers within the IT industry.
It equips graduates with both the fundamental theoretical knowledge they need to succeed in technology, as well as the practical skills required to enter the world of work and immediately innovate in fields like programming, cybersecurity, data science, AI, and cloud computing.
Like other courses and programs available at OPIT, this BSc in Computer Science provides students with a flexible learning program involving a mixture of recorded and engaging live content, progressive assessment, fast-track options for those who study at a faster pace, and round-the-clock accessibility to tutors and fellow learners.
If you feel that computer science or cloud computing is the right path for you, and you want to secure the foundational skills you need to succeed, consider the OPIT BSc in Computer Science to help you achieve your dreams.
On September 8, 2025, the Open Institute of Technology (OPIT) officially inaugurated its 2025/26 academic year, welcoming a whole host of new students into the institute, ready to gain the skills and knowledge they need to be the tech industry leaders of tomorrow.
Faculty members, guest speakers from around the world, and hundreds of students from over 100 nations were all in attendance at the online inauguration event. Among them was one new student on the MSc in Responsible AI program: Rem Lampa, also known by his online alias, Kuya Dev.
A Filipino podcaster, speaker, and developer, Kuya Dev documented the inauguration experience in a YouTube video, sharing his thoughts on the event. Here’s a detailed look at his experience, showing the welcoming and effective way in which new OPIT students are brought into the institute from the first day.
An Overview of the Inauguration Event
The latest OPIT inauguration event was one to remember, with the institute celebrating several notable milestones. These included the first graduation of the MSc in Applied Data Science and AI program, and the unveiling of new industry connections and corporate partners offering opportunities for graduates.
Various guest speakers were in attendance, including the former Italian Minister of Education and current OPIT Rector, Professor Francesco Profumo, plus the CEO of Malta’s accreditation authority MFHEA, Dr. Rose Anne Cuschieri.
OPIT founder, Riccardo Ocleppo, also took to the stage to highlight the transformative role of education and the unique possibilities offered by the online-only OPIT degrees, stating:
“When we launched OPIT in 2022, we wanted to prove that an online degree could be rigorous, international, deeply connected to the world of work, and engaging. Three years later, we can already see results. This year alone, 300 new students are joining us, representing 98 nationalities.”
Those hundreds of new students were also, naturally, in attendance for their big inauguration day, welcomed into the institute’s various BSc and MSc programs in specialties like Computer Science, Digital Business, Digital Business and Innovation, and Cybersecurity.
Introducing Rem ‘Kuya Dev’ Lampa
As mentioned, one of the new students joining was vlogger and podcaster, Kuya Dev.
Already boasting extensive experience and technical expertise in the computing world, Kuya Dev has founded several tech communities, including Tech Career Shifter Philippines and Server-Side JavaScript.
He describes himself as an advocate for responsible AI and tech practices, and once gave a powerful TEDx talk about the negative potential impacts of artificial intelligence (AI), including its large carbon footprint and involving exploitation of workers in emerging nations. So, it was only fitting that he signed up for OPIT’s MSc in Responsible AI.
The MSc in Responsible AI Program
A postgraduate program lasting three or four terms (between 12 and 24 months, total), OPIT’s MSc in Responsible AI is an accredited program that combines technical skills with a core focus on the ethical implications of AI technology.
It explores real-world use cases of AI and ways in which this exciting and powerful technology can be used responsibly and sustainably, emphasizing its potential for both positive and negative change in areas such as the environment and society as a whole.
Students of this program enjoy all the usual benefits that come with studying at OPIT, like flexible-paced learning, tutors available on a daily basis, a dynamic and engaging online learning environment, and fair, progressive assessments over time.
Those who graduate can move into careers in AI Application Development, AI Research, and AI Business Consulting.
Highlights and Impressions of Kuya Dev’s Inauguration Experience
Inauguration is always a special moment in any student’s academic journey as they take their first tentative yet exciting steps towards new knowledge and skills that can unlock their potential and accelerate their development.
It can even be a “make-or-break” moment in which students can either feel welcomed, empowered, and eager to begin their studies, or, conversely, experience feelings of worry, doubt, or regret if the inauguration lacks the spark they were hoping to feel.
Fortunately, Kuya Dev and his many fellow new OPIT students had a very positive experience at the inauguration event, with the vlogger calling it both “very fruitful” and “very insightful.” Some of the specific highlights he mentioned included:
An International Community
Early in the inauguration event, Kuya Dev heard from Professor Francesco Profumo about how OPIT was welcoming students from over 90 countries.
This, for Kuya Dev and for so many other students, is one of the big perks of studying with OPIT. It allows students to meet, engage, and exchange with people from dozens of different backgrounds, cultures, and communities, learning new ways of thinking and collaborating.
Real World Applications
The OPIT inauguration also focused on another of the university’s key features: a focus not merely on imparting knowledge to students or making them memorize facts, figures, and theorems, but actually teaching them how to apply that knowledge and ideas to real-world uses.
Kuya Dev commented on how other universities that he had considered attending appeared more conventional and limited in their approach, and also shared his excitement and enthusiasm at OPIT’s unique approach, focusing more on genuine industry collaboration and real-life scenarios.
Inspiring Speakers
The vlogger and podcaster also commented on the various key speakers who hosted the event. He was pleased to see that they were not only academically oriented but also all had real-world experience and a diverse range of working backgrounds in fields like politics.
This, too, is part of what makes OPIT different. It features a winning team of international tutors, professors, and experts from diverse fields, including the aforementioned former Italian Education Minister, education executives, research chairs, digital content creation specialists, and more.
Graduate Experiences
Finally, Kuya Dev noted how several OPIT graduates spoke to those about to follow the same path they did, including students from nations as diverse as the U.S., Italy, and Nigeria.
They all shared their experiences and detailed what they enjoyed most about studying with OPIT, including key factors such as professors who took the time to get to know their students, as well as the depth of the topics and knowledge covered in each course.
A Successful First Step Into OPIT Education
All in all, the recent inauguration event was a major success for all involved, giving students like Kuya Dev the ideal introduction to life and study with OPIT. He, like so many of his new fellow students, left the event eager and excited to expand their knowledge and broaden their horizons in unique ways that only OPIT can provide.
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