#Artificial Intelligence Course in London

[callofdutymobileindia]

Artificial Intelligence (AI) has become one of the most transformative forces of our time, revolutionizing everything from healthcare to finance, education to entertainment. With London emerging as a global AI hub, more professionals and students are exploring ways to enter this fast-growing industry. However, the high cost of AI training programs often becomes a roadblock.

If you're looking for Affordable Artificial Intelligence Courses in London, you’re not alone. The good news? You don’t need to spend a fortune to gain high-quality AI education. This article explores top-rated, budget-friendly AI courses in London, what to expect, and how to choose the right one for your career goals.

Why Study Artificial Intelligence in London?

London offers a dynamic tech ecosystem supported by academic excellence, startup culture, and multinational tech giants. Some key reasons to consider AI education in the city include:

Access to World-Class Instructors Many courses in London are led by professionals from top-tier universities and tech companies.

Networking Opportunities London regularly hosts AI conferences, hackathons, and workshops—ideal for connecting with industry peers.

Job Prospects AI-related roles are booming in the UK. With London at the center of it all, students gain better access to internships and jobs.

What Defines an “Affordable” AI Course?

The term "affordable" can be subjective, but for the purpose of this guide, we consider AI courses under £1,500 as affordable within the London context. However, affordability isn’t just about cost. Here are other important factors:

Course Value vs. Price Does the course offer hands-on experience, mentorship, or job support?

Learning Format Online, in-person, part-time, or hybrid – flexible formats can reduce indirect costs like travel or time off work.

Certification Quality A course that offers an industry-recognized certification adds significant value.

Post-Course Opportunities Placement assistance, internship links, or portfolio-building workshops can make a budget-friendly course more worthwhile.

Top Affordable Artificial Intelligence Courses in London

Here’s a closer look at some of the best options that balance affordability with quality training.

1. Industry-Certified AI Programs (Under £1,500)

Several institutes in London offer mid-range, in-depth programs focused on machine learning, deep learning, NLP, and more. These programs often span 8–16 weeks and are ideal for beginners and working professionals alike.

One such well-known provider offers AI and ML courses with:

Instructor-led classroom sessions

Hands-on projects and capstone assignments

Certification recognized across global employers

Placement guidance and career mentoring

What makes this provider stand out is their balance between quality and affordability, offering robust AI training without charging premium fees.

2. University Short-Term Courses and Bootcamps

Several London-based universities offer short courses or AI bootcamps at significantly lower costs compared to full-time degrees. Some examples include:

University of London Short Courses

Duration: 6 to 10 weeks

Cost: Around £500–£1,000

Format: Online or hybrid

Focus: Introduction to AI, ethics, and applied machine learning

Imperial College Continuing Education

Target Audience: Mid-career professionals

Cost-effective pricing with access to university resources

Certificate of Completion provided

These bootcamps are perfect for professionals who want university-quality training without the time or cost commitment of a degree.

3. Online Learning Platforms with Local Mentorship

E-learning platforms like Coursera, edX, and Udacity offer globally recognized AI programs from institutions like Stanford or MIT. While these aren’t London-specific, some providers now offer localized mentorship or optional in-person workshops in London.

Benefits:

Self-paced learning

Prices start from £30/month

Courses include Python programming, data science, and deep learning

Ideal for motivated learners who prefer flexibility

Some training providers based in London have even partnered with these platforms to provide blended learning: combining online content with live local sessions, helping students stay accountable and gain practical experience.

4. Community Colleges and Adult Learning Centers

If you're on a tight budget, community colleges and adult education centers in London provide accessible AI education starting as low as £200–£600.

Examples:

City Lit or Morley College London

Offer evening classes on data science, Python, and introductory AI

Smaller class sizes

Great for building foundational knowledge before enrolling in more advanced programs

Though they may not be as comprehensive, they are an excellent starting point for students testing the waters.

5. Free and Subsidized AI Training Initiatives

Some organizations in the UK offer government-funded or subsidized AI training to promote digital upskilling. Look out for:

Skills Bootcamps (Gov.UK) – Tech-focused bootcamps offered by private providers and supported by UK government grants.

Local AI workshops and hackathons – These events offer hands-on exposure and networking opportunities at no cost.

You can also supplement your learning with free resources like:

Google AI

Microsoft Learn

Fast.ai

Kaggle Learn

These platforms provide top-tier tutorials and code examples at zero cost, especially valuable when combined with project-based learning.

How to Choose the Right Affordable AI Course?

Before enrolling, ask yourself these questions:

What is your goal? Are you switching careers, upskilling, or simply exploring?

What is your current skill level? Beginners may need foundational Python or math skills before diving into AI.

What learning style suits you? Choose between self-paced, instructor-led, or hybrid formats.

Does the course include hands-on projects? Real-world projects enhance your resume and practical understanding.

Is placement assistance available? Some affordable programs still offer excellent career support.

Final Thoughts

AI is reshaping industries and unlocking new career opportunities every day. While London offers countless premium programs, it’s entirely possible to build a strong foundation in AI through cost-effective training options. Whether you prefer in-person classes, university boot-camps, or online hybrid models, the key is to find a program that aligns with your goals without breaking the bank.

For those seeking an affordable yet high-impact option, consider enrolling in an industry-driven AI course that combines practical learning with career mentorship.

[bostoninstituteofanalytics1]

Artificial Intelligence Course in London: Your 2025 Guide to AI Education in the UK

Artificial Intelligence (AI) is transforming the world — from powering search engines and voice assistants to revolutionizing industries such as finance, healthcare, and transportation. As the demand for AI professionals continues to surge, London has emerged as a leading destination for individuals aspiring to build a career in this exciting field.

This guide explores everything you need to know about enrolling in an Artificial Intelligence course in London — including course types, what to expect, career opportunities, and how to choose the right program.

Why Study Artificial Intelligence in London?

London is one of the world’s most vibrant tech capitals, offering a thriving AI ecosystem, diverse career opportunities, and top-tier academic institutions. Here are a few compelling reasons to study AI in the UK’s capital:

1. Global Tech Hub

London is home to numerous AI startups, tech giants, and research institutions. The city consistently ranks among the world’s top innovation centers, attracting billions in tech investment annually.

2. Academic Excellence

London boasts several globally recognized universities and private institutes offering AI and machine learning courses. These institutions provide cutting-edge curriculum, expert faculty, and strong industry ties.

3. Access to Industry

Many AI courses in London include internships, guest lectures from tech leaders, and real-world project collaborations with companies in finance, healthcare, retail, and more.

4. Cultural and Professional Diversity

London’s multicultural environment provides a unique learning experience. Whether you're a local resident or an international student, you’ll benefit from diverse perspectives and networking opportunities.

What to Expect from an AI Course in London?

An Artificial Intelligence course in London typically combines theoretical knowledge with hands-on application. Whether you’re pursuing a degree or a certification, the course will likely cover the following areas:

1. Fundamentals of Artificial Intelligence

Introduction to AI concepts and history

AI applications in various industries

Understanding ethical implications and responsible AI

2. Machine Learning & Deep Learning

Supervised, unsupervised, and reinforcement learning

Neural networks and deep learning algorithms

Tools such as TensorFlow, PyTorch, and Keras

3. Natural Language Processing (NLP)

Language models and text classification

Sentiment analysis and chatbot development

Applications like OpenAI's GPT and BERT

4. Computer Vision

Image recognition, object detection

Facial recognition and video analytics

Real-time image processing

5. Programming for AI

Python for AI and ML

Data preprocessing and visualization

Working with libraries like NumPy, pandas, and Scikit-learn

6. AI Strategy and Implementation

Deploying AI solutions in business contexts

AI product development

Legal, ethical, and societal considerations

7. Capstone Projects & Portfolio Development

Most reputable programs in London include final projects that allow learners to build AI models and showcase their skills to potential employers.

Who Should Take an Artificial Intelligence Course in London?

AI is an interdisciplinary field, making it accessible to professionals and students from various backgrounds. You should consider enrolling if you are:

A university student or recent graduate interested in AI

A software developer, engineer, or IT professional looking to specialize

A business analyst, consultant, or manager who wants to integrate AI into strategic initiatives

An entrepreneur aiming to launch AI-driven solutions

A career switcher seeking a future-proof profession

There are AI courses in London designed for beginners, intermediate learners, and advanced professionals.

Types of Artificial Intelligence Courses in London

1. University Degree Programs

Top universities in London offer full-time and part-time AI-related degrees at both undergraduate and postgraduate levels.

Examples:

BSc in Artificial Intelligence

MSc in Artificial Intelligence

MSc in Machine Learning and Data Science

Duration: 1 to 3 years Delivery: On-campus, hybrid

2. Professional Certificate Courses

Short-term programs are designed for working professionals who want to gain specialized AI skills without committing to a long academic degree.

Duration: 3 to 12 months Topics: Applied AI, Python programming, NLP, and machine learning Delivery: In-person, online, or hybrid

3. Bootcamps

Bootcamps provide intensive, accelerated training in AI and are popular for career switchers or those seeking rapid upskilling.

Duration: 8 to 16 weeks Focus: Real-world projects, job readiness Example topics: AI model deployment, computer vision, deep learning frameworks

Choosing the Right AI Course in London

To make the most of your AI learning journey, here are the key factors to consider when selecting a course:

1. Course Curriculum

Ensure the syllabus includes current topics like generative AI, agentic AI, large language models, and AI ethics in addition to standard ML and NLP topics.

2. Practical Learning

Hands-on projects, real datasets, and opportunities to build AI models are essential. Some courses also include hackathons or collaboration with local companies.

3. Instructor Credentials

Look for courses taught by AI researchers or practitioners with industry experience. This ensures the teaching is not only academic but also industry-relevant.

4. Industry Links

Top AI programs in London often partner with tech companies, providing students with internship opportunities, networking events, or job placement support.

5. Flexibility and Format

Depending on your schedule, choose a course that fits — whether it’s evening classes, weekend batches, online self-paced modules, or full-time study.

Career Opportunities After an AI Course in London

Completing an Artificial Intelligence course in London opens doors to a wide array of career paths. London’s AI job market is among the most mature in Europe, with companies actively hiring skilled professionals across domains.

Popular AI Job Roles:

AI Engineer

Machine Learning Engineer

Data Scientist

Natural Language Processing (NLP) Engineer

Computer Vision Specialist

AI Product Manager

AI Research Associate

Leading Sectors Hiring AI Talent:

Finance – Algorithmic trading, credit scoring, fraud detection

Healthcare – Diagnostics, patient data analytics, medical imaging

Retail & E-Commerce – Recommendation engines, customer analytics

Transport & Logistics – Predictive routing, autonomous driving

Media & Entertainment – Personalization engines, content generation

With London being a global headquarters for tech giants like Google DeepMind, Microsoft, and Amazon, graduates of AI programs are well-placed to land high-impact roles.

Featured Industry-Ready Program

Among the many AI learning options in London, certain industry-focused programs stand out for their blend of theory, application, and career support.

For instance, one leading program offers hands-on training in AI, machine learning, and data science. Designed by data professionals, the course includes:

Practical learning with real-world datasets

Mentorship from AI experts

Career coaching and resume preparation

Exposure to generative AI, agentic AI applications, and ethical AI frameworks

Graduates leave with a job-ready portfolio and access to a strong professional network — ideal for those seeking quick career transitions or startup opportunities in AI.

Final Thoughts

Enrolling in a Machine Learning Course in London is one of the most strategic investments you can make in 2025. Whether you're an aspiring tech professional or a seasoned business leader, gaining AI expertise will equip you to thrive in an increasingly data-driven world.

With access to world-class education, cutting-edge tech environments, and an active AI job market, London offers an unmatched platform for your AI journey. Choose a course that emphasizes practical skills, includes emerging technologies like generative AI and agentic AI systems, and aligns with your career goals.

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Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. Datamites provides online artificial intelligence training in London.

[miraculouslbcnreactions]

One thing I’ve always been confused about is how akuma actually work. In stormy weather they are treated like a horror movie trope, able to stop an elevator, cause lights to flicker and squeeze thru the doors to get to their victim. Aurora sees it coming and is terrified of it.

There’s a few other episodes where people see the akuma and try to avoid it but nothing on that level. Most of the time it seems like no one notices them and it just quietly possesses any item it touches

Then there are also times where the akuma can be trapped like in Sabrina’s suit case and it can’t get out or possess anything.

It also seems like they can get anywhere they want fairly quickly, but s5 adds them teleporting via the horse for some reason? Like travel time was never an issue before.

How would you treat the akuma in your version?

Also while on the rant, why does everyone know they are called Akuma? In the Paris special it seems they are called Komiko… so wouldn’t Tiki and Plagg assume they were still called that? Why do they have a unique name for the evil version and why are they Japanese words for the Chinese miracle box?

Akumas are whatever the story needs them to be for the current episode. There are very few clear limits or logic to them. The only thing that stays consistent is that the akuma possesses an object, gets released once the object is broken (though what that means can change), and that the ladybug of the day needs to purify the released akuma.

Those basic elements aren't actually bad and, as I've previously mentioned, I'm not too judgmental about how OP the butterfly's power is. Does it raise a lot of question like, "why can't you use this to heal your wife?" Yes! But this is a formula show where every episode has to have a fight, so I'm willing to give them some grace and accept that the butterfly is only OP because that's how the fights stay interesting. In a more serious show, the butterfly would be heavily nerfed.

There are still things that I'm critical of, though! Things canon never should have done, so let's focus on that.

1. Akumatized objects should function like a miraculous. It has to be on you to transform you. You drop it, you detransform. None of this hiding it somewhere BS. Could even lead to cool plots like someone picking up a seemingly innocent item and BAM akuma trap!

2. The butterflies should be magical constructs. None of this needing a real butterfly nonsense. What even is that? What do you do if you don't have a butterfly on you? Can you use any butterfly? I have questions...

3. There should not be a different word for a good akuma as that also raises a lot of question. Just have the power be what it is and let the good/bad element come from how the power is used.

4. Make clear rules around where the butterflies can go, how possession works, and how powers are assigned. I'm okay with the butterflies being able to touch things without possessing them or even being able to be trapped, but when that happens, the butterfly holder should be able to dismiss them and try again. Also, when the akuma goes out of range, it should dissipate. It shouldn't be able to go rouge like we saw in Startrain when Gabriel lost the akuma because it went to London, but Max's mom still got akumatized:

Gabriel: So, that's why I lost touch with my akuma! It's too far out of range. Nathalie: There's another problem. Adrien's class is on the train, and your son is on the passenger list! Gabriel: He's up in space! And there's nothing I can do.

This is so clearly done for plot and not because of logical world building. Of course, the show undoes this in season five where Intuition has Gabriel akumatize a spaceship in an episode that's a direct followup to the events of Startrain re Max's mom, so this is basically inexcusable:

Monarch: How fortunate that an artificial intelligence can suffer so much. (corrupts a butterfly into a Megakuma) Voyage, my Megakuma! (creates a portal, teleporting his Megakuma to space to akumatize A.D.A. in her core) Bugfighter. I am Monarch. The only reason Cosmobug wants to help you is so humans can test you again and again, even if it means losing more pilots.

5. I would personally make the magical construct butterflies invisible because they move so slowly that it does seem like something people should be able to avoid. We even see that happen when the show wants to go there with things like Marinette running away from one. That just raises too many questions about why people aren't always on the lookout for these things. Between that and the akumas getting trapped in other episodes, the fact that anyone gets possessed seems hard to believe.

All of these changes would means that you have to scrap a few story ideas, but that's just how good lore works. It limits you just like gravity limits you. It's how worlds feel real.

Why are they Japanese words for the Chinese miracle box?

Why is the Chinese miracle box guarded by Tibetan monks? Why are the two most powerful miraculous in the box - the only ones we see for most of season one - based on western lore? Why does Kagami wander around in a Japanese school girl outfit even though she lives in France while her mom sticks to highly traditional clothing instead of business suits? It's because these writers seem to think that Asian things are just a cool aesthetic that can be thrown into a story to make it look/feel cool with no real thought of deeper meanings or cultural origin.

As always, I will remind you am not part of these cultures nor have I studied them extensively, so it's always possible that there's something that I missed and canon is somehow fine, but I've yet to see anyone make that argument. In fact, the more I learn, the more I judge canon and feel deeply uncomfortable with the way various Asian cultures have been represented.

[gremlinshatephilosophers]

I was listening to Hozier and I liked how "Sunlight" and "Wasteland, Baby!" worked together. So I wrote a little story about Dan and Phil and the very slow and deceptively normal end of the world.

Wasteland, Baby (I'm in love with you)

Rating: T • Words: 3,570

I've put the intro below:

The world ends on a Thursday. 

It also ended on Wednesday, and all the Tuesdays and Mondays and Sundays before that. It ends every day, every hour, every minute as time passes and another city drowns or burns without fanfare. Because the end of the world isn’t announced by angels with trumpets, or flesh-rotting zombies. Nor is it prefaced by gunshots and riots, burning cars and signal flares. People still go to work every day, because everything is remarkably normal, aside from the pervasive threat of death. The Earth’s demise is a slow and quiet one, as much as any apocalypse can be.  

The first time the world ended might have been yesterday, or it might have been a hundred years ago, depending on who you ask. Did it begin when Edison and Tesla squabbled over electric currents, a reflection of Prometheus’ sin? Did it begin with Oppenheimer, and Truman, and nuclear warfare which decimated cities with a single word? Perhaps the end of the world started with the invention of the car, or the computer, or of generative artificial intelligence; humans developing unsustainable technologies to propel them to wealth and efficiency at the expense of their children’s future. One might look instead toward corporate greed, at private jets and oil drilling. After all, they knew that there was never enough water to cool the computers, never enough trees to filter out the polluted air. 

Damp toes and ash-filled lungs were fine, most of the time. There had always been rain, and pollution, and natural disasters that menaced far flung corners of the globe for a five minute segment on the nightly news. For those who had the privilege to never question the airplanes above their heads or whether they could drink the water from the tap, the world first ended sometime around ten or twenty years ago. Somehow, the rise of fascism and malicious disinformation hadn’t been the breaking point - what was the truth if not a hollow vessel for one’s own political aims, after all? 

But it was hard to ignore the heat of the fires, even through rose-colored glasses. In California, there has always been a “fire season.” But for cities like Los Angeles, fire season had become the scorched earth of inferno season - a season which lasted not three, but ten months of the year - and the brushfire dry spells had taken up residence in New York instead. In London summers, the rain had all but dried up, adopting a heavily seasonal pattern that it hadn’t prepared for. There was grumbling about installing air con, but who would trade away warm and sunny days for that endless drizzle again?

Of course, mother nature was not one to forget her karmic tradeoffs - with every California fire came a flood to end it and more. And the floods were not just a balm for the burn, but an overwhelming monsoon season that oversaturated the soil, spilling out for weeks until there were no visible roads within fifty miles of any coastline. 

The coastline had experienced a makeover too; the sea did its fair share and rose to meet those parched cities. Amsterdam and New Orleans were inevitable casualties predicted well before a drop of rain had ever fallen and inspired no international mourning as such. New York, Hong Kong, London - the slick pavement instilled fear there for a moment, until the millions in residence bought taller boots. 

The world was burning, drowning, quaking, starving - but you weren’t. You, who turned on the TV once the power company fixed the wires after another blackout and saw how beautiful Norwegian summers had become. You, who watched the BBC interview a poor woman whose house had washed away in Brighton, reminding her that if she’d simply worked harder when she knew this day was inevitable, she would’ve had the money to move someplace nicer and rebuild her house. You, who laced up your rain boots in the winter and sloshed down to the supermarket for a pallet of plastic water bottles before they ran out. It wasn’t your fault that things flooded and burned for those less fortunate, it wasn’t your fault that thousands died every summer in a heat wave - who could stop the sun itself

The world was ending, and nobody else had tried to stop it before it was too late.

[carvalhais]

By envisioning a logical machine that could express all possible equations and their evaluation, Lovelace advanced a definition of ‘operation’ which was more general and universal than the operation upon numbers as it is understood by traditional mathematics. Her science of operations included in the abstract manipulation of any entity, not just numbers, suggesting in this way a broader meaning also for the definition of automation. She wrote: It may be desirable to explain, that by the word operation, we mean any process which alters the mutual relation of two or more things, be this relation of what kind it may. This is the most general definition, and would include all subjects in the universe. In abstract mathematics, of course operations alter those particular relations which are involved in the consideration of number and space, and the results of operations are those peculiar results which correspond to the nature of the subjects of operation. But the science of operations, as derived from mathematics more especially, is a science of itself, and has its own abstract truth and value. Matteo Pasquinelli, 2023. The Eye of the Master: A Social History of Artificial Intelligence. London: Verso.

[infinitebutterlogjam]

I was introduced to Charles Dickens in high school.

By which I mean I was assigned to read his sprawling 1859 historical novel “A Tale of Two Cities.” The tale itself is set before and during the French Revolution and the chaotic, bloody Reign of Terror, while the protagonists navigate, literally and figuratively, the span between the two great cities of London and Paris, and the tumultuous events of the era.

“It was the best of times, it was the worst of times,” the book famously begins, “it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of light, it was the season of darkness…”

I’ve thought a lot of these anaphoric lines lately, and the contrasts they highlight. In Dickens’ story there are certainly heroes and villains, good and evil, and love and hate, along with well-earned wisdom and stubborn foolishness.

As always with Dickens there is also a focus on the gulf between classes of people, those who assume the power and privilege of wealth and the many who struggle with the crushing oppression of poverty. In both extremes there exists kindness and cruelty, and the various characters choose one or the other based on their personal, sometimes dawning, morality. In Dickens’ world, villains are not necessarily born bad, but some are led to do harm out of desperation and despair and a perverse sense of justice, both righteous and foul.

The hefty novel had an equally weighty impact on me at the time, and perhaps influenced my own emerging understanding of how circumstance and context might propel someone to particular extremes of thought and behavior. I don’t think I necessarily knew a lot about the politics depicted, capricious and convoluted then as now, but I understood how fear and prejudice, set against hope and optimism, can be powerful enough to shift both individual lives and the fates of nations.

Once again we are at a time of extremes, and the challenges they present. Wisdom and foolishness battle daily, and there is no foreseeable shortage of incredulity. Technology exists, literally in our hands, far beyond the steam-powered advances of Dickens’ time, while “updates” regularly occur as we sleep. The tools which, ostensibly, promote greater connection sometimes have exactly the opposite effect, numbing us to our immediate environment and those who inhabit it. We contend with “virtual,” “real time,” “chat,” and “reality,” as concepts separate from (or even the opposite of) what the terms have traditionally meant, while artificial intelligence, or “AI” potentially redefines our perceptions to a degree yet to be fully recognized. We are met, often engulfed, by a wave of information which can deliver knowledge or promulgate drivel, and a very great deal in between. The delineation between fact and fiction becomes muddied, and far too often conspiracy theories, rather than crucial critical thinking, fill the voids in available knowledge. Of all the extremes which have become evident, the most appalling for me at least, is the yawning gap between questioning intelligence and confident ignorance.

In another work of Dickens, the novella “A Christmas Carol,” the iconic character of Scrooge is unwillingly guided into his past, present and future to confront his own assumptions, prejudices, and moral failings. At one point he is shown two wretched figures, a boy and a girl who represent, in the author’s estimation, the worst of humanity:

“They are Man’s….And they cling to me, appealing from their fathers. The boy is Ignorance. The girl is Want. Beware of them both, and all of their degree, but most of all beware this boy, for on his brow I see that written which is Doom, unless the writing be erased.”

Will the writing be altered? I do not know. I continue to believe hope is available and appropriate, as is kindness, and the need for both has seldom been greater.

As in Dickens’ age, of course, there are those today whose wealth and power, sometimes inherited, has placed them outside the sphere of daily worry or want, while conveying faulty assumptions about their relative intelligence and the “rightness” of their position. It has always been so, and I suppose will always be the case, while Edmund Burke’s well-known observation, “those who don't know history are doomed to repeat it,” has never felt quite so apt.

And yet, hope and kindness are present and persist. They are always options available to each of us, and the time to exercise them is now.

We carry on, we stay informed, we make meaningful communities. We value creative thinking and we absolutely must honor true expertise, whether in science, or the arts, or in world affairs. Injustice ought to be recognized and exposed, and bigotry denounced. That is, I believe, how we move forward as caring humans in a functioning society.

“….. it was the spring of hope, it was the winter of despair, we had everything before us, we had nothing before us, we were all going direct to Heaven, we were all going direct the other way—in short, the period was so far like the present period, that some of its noisiest authorities insisted on its being received, for good or for evil, in the superlative degree of comparison only.”

[mariacallous]

Friday’s Oval Office meeting between US President Donald Trump, Vice President JD Vance, and Ukrainian President Volodymyr Zelenskyy was unprecedented, and not in a good way, for the United States, Ukraine, Europe’s future, and America’s global credibility.

Speaking with Kelly Evans on CNBC’s The Exchange as the meeting transpired, I said that it was “highest-level geopolitics as reality TV.” It all would have been so very entertaining, if the stakes weren’t of generational importance. That seemed to have been lost in the room where it happened. 

Others will write about how Zelenskyy should respond now and what mistakes he, Trump, and Vance might have made. It’s uncertain now whether the Ukraine-US link is irrevocably broken (I hope not) and whether Kyiv and Washington can find their way back to a critical minerals deal that had been mostly negotiated (I hope so).

As British Prime Minister Keir Starmer convenes eighteen European leaders in London on Sunday, the larger and more significant question, just forty days and forty nights (why not pick a biblical framing?) into Trump 2.0, is this: What does the Oval Office bust-up tell us about what pundits already are framing as the Trump World Order? We all sense something has dramatically changed in Trump’s transformation of how the United States views its global role. US Defense Secretary Pete Hegseth’s move this weekend to order up to three thousand additional troops to the US southern border, including twenty-ton Stryker combat vehicles, provides further evidence, but of what exactly?

Since the inauguration

Those paid to think great thoughts are at pains to describe what’s unfolding in some understood analytical construct.

I’m reluctant to do so myself yet, as I don’t think Trump himself thinks in a deeply philosophical way about global order. It’s also far from certain that he can sustain his current course of domestic disruption and international change.

Conversations I had this week with three significant Trump campaign donors, who understandably spoke anonymously, underscored a growing concern among Republican ranks about the early chaos they discern in the administration’s actions.

They all mentioned how optimistic they had been a month ago, ready to do anything to support Trump’s pro-growth and deregulatory agenda. Now, they told me, they and other business leaders are slowing investments, rethinking the timing of acquisitions and initial public offerings, and withholding public support. They are also expressing concern to GOP senators and House members and individuals close to Trump.

They worry about federal layoffs, some with national-security consequences, which could build an anti-Trump constituency among hard-working, patriotic, effective federal workers. They also are concerned about Trump’s announced tariffs and threats of future ones, which they say have already driven up their costs and fueled inflation. And they don’t believe Trump’s advisers have yet dared to share with him the extent of the economic harm such policies could cause.

Markets, which are said to be Trump’s scorecard, are skittish. In February, the Dow Jones Industrial Average and S&P 500 fell by around 2 percent, while the Nasdaq Composite lost 4 percent. In contrast, European markets rose moderately in February, and, following a surge of optimism about Chinese startup DeepSeek’s artificial intelligence model, the Hang Seng Index ended the month up more than 13 percent.

“Wouldn’t it be ironic if the 2025 Trump trade was an anti-Trump trade, buying stocks in the places President Trump targets?” wrote James Mackintosh in the Wall Street Journal on Friday. “This year, Canadian, Colombian, Mexican, European, and Chinese technology stocks are all outpacing the S&P 500, the dollar is down and the Magnificent Seven big tech companies—five of whose CEOs stood behind the president at his inauguration—have stopped leading the US market up and turned into laggards.”

Trump World Order 101

As I wrote from Dubai in mid-February, geopolitics traditionally has been about three-dimensional chessboards and calculated moves by skilled statesman and diplomats, who achieve sometimes marginal and sometimes significant gains. This approach was embodied by long-time (and now late) Atlantic Council board members Henry Kissinger, Brent Scowcroft, and Zbigniew Brzezinski. 

Today, that chessboard is toppled, and readers should be wary of anyone who claims to be certain where the pieces will land. But with that warning, here are some initial musings about the Trump World Order worth considering as the future takes shape. 

Writing in Foreign Policy, author and thinker Robert D. Kaplan calls Trump “ahistorical,” ready to cast off the long-accepted foreign policy traditions, forged through World War II and its aftermath, that made the United States the world’s preeminent power.

The United States was a country with leaders, by and large, ready to make sacrifices, however imperfectly, that they hoped would be for the sake of a better world. Most significantly, writes Kaplan, US leaders were out to “achieve the Wilsonian ideal of establishing a bastion of freedom and democracy in a large part of the European continent.”

Trump is “unappreciative of the postwar saga of the West,” Kaplan writes, and thus the US president has no intellectual starting point that would lead him to embrace, emotionally or intellectually, Zelenskyy’s existential battle for freedom, which is so consistent with what the United States has supported for the past eighty years.

Writes Kaplan: “NATO is a mere acronym to him, not a connotation of humankind’s largest ever military alliance, which emerged out of the struggle against Nazi fascism.”

At a press conference this past week that foreshadowed the Zelenskyy showdown, Trump himself proudly boasted, “My administration is making a decisive break with the foreign policy values of the past administration and, frankly, the past.”

So, if that past doesn’t provide his moorings, what does?

Alex Younger, the former chief of British foreign intelligence service MI6, said in a much-noticed exchange last week on BBC’s Newsnight, “We are in a new era where, by and large, international relations aren’t going to be determined by rules and multilateral institutions. They are going to be determined by strongmen and deals.” 

Younger, quoted in Ishaan Tharoor’s compelling Washington Post column, notes that that’s a mindset Trump shares with Russian President Vladimir Putin and Chinese President Xi Jinping.

If you agree with Younger, then it’s easier to fathom why the Trump administration so easily set aside all post–World War II tradition at the United Nations last Monday by voting alongside Russia, North Korea, Belarus, and, as Tharoor puts it, “a clutch of West African juntas.” The United States joined this unsavory group in voting against a resolution condemning Russian aggression on the third anniversary of Putin’s illegal, unprovoked war on Ukraine.

The Wilson Center’s Michael Kimmage, a historian and Russia scholar, writes in the newest issue of Foreign Affairs: “In this geopolitical environment, the already tenuous idea of ‘the West’ will recede even further—and consequently, so will the status of Europe, which in the post–Cold War era had been Washington’s partner in representing ‘the Western world.’” 

Like Younger, Kimmage sees the Trump World Order as a throwback favoring nationalist strongmen, like Putin, Xi, Turkish President Recep Tayyip Erdoğan, and Indian Prime Minister Narendra Modi. Zelenskyy, by this measure, doesn’t make the Trump table, despite his wartime heroics. This means that the Ukrainian president can be dismissed, as he was by Trump on Friday, as a poker player without the right cards.  

“They are self-styled strongmen who place little stock in rules-based systems, alliances, or multinational forums,” writes Kimmage. “They embrace the once and future glory of the countries they govern, asserting an almost mystical mandate for their rule.”

One helpful recent reference Trump has made to history has been his admiration for William McKinley, the twenty-fifth US president, who served from 1897 until his assassination in 1901. Trump appears to admire this little-remembered president for his realignment of the Republican Party, his economic nationalism (read: tariffs), and his territorial expansion, including the annexation of Puerto Rico, Guam, the Philippines, and Hawaii.

If Ukraine fails

Back at the World Economic Forum, in the first days of the Trump administration, I observed that Trump was as much a symptom as a driver of our times. The post–Cold War period, I wrote, is giving way to “global fragmentation, protectionist trends, greater instability (including wars in Europe and the Middle East), and a rising tide of government involvement in picking winners and losers.” As Nir Bar Dea, CEO of Bridgewater Associates, told me then, “What people in Davos understand is that, today, what’s in this one person’s mind will be massively important.”

With every new day in his second administration, Trump becomes less symptom and more driver. Friday morning, I was ready to declare on CNBC a stunning reversal of Ukraine-US relations, from Trump’s declaring Zelenskyy a “dictator” and embracing the murderous autocrat Putin to Trump’s signing a long-term investment in a free Ukraine’s future. The Atlantic Council’s John Herbst, a former US ambassador to Ukraine, shared that assessment.

Was that wishful thinking?

I’m not ready yet to join the parade of pundits declaring the demise of Ukraine, the end of the transatlantic alliance, or the beginning of an American strongman. I’m not ready to accept a United States that would abandon Ukraine in its existential struggle, which is as much in the United States’ interests as it is in Ukraine’s.

What’s clear to me, however, is that it’s time for those around Trump who believe in Ukraine and in the United States’ transatlantic mission to argue their case strongly, before defeatist punditry becomes unfortunate reality. 

The Wall Street Journal, in a powerful lead editorial on Saturday, wrote that the point of what it called the “Oval Office Spectacle” was supposed to have been “progress toward an honorable peace for Ukraine, and in the event the winner was Russia’s Vladimir Putin.” Continued the editorial board, “Turning Ukraine over to Mr. Putin would be catastrophic for that country and Europe, but it would be a political calamity for Mr. Trump, too.”

A free Ukraine has always been about more than Ukraine, just as a free West Berlin was always about more than Germany during the Cold War. If Ukraine fails, everything the United States achieved through World War II and the Cold War to create a freer, more prosperous, more secure, and more democratic world is in jeopardy. 

One can only hope that the next episode in this geopolitical reality show produces a plot twist that puts the United States, the transatlantic community, and a free Ukraine back on course.

Trump loves to confound critics who underestimate him. This is still his script to write. Here’s hoping the “ahistorical” president seizes the historic moment.

[nightwing-scp]

hello everyone

welcome to @n1ghtw1ng-scp's RP blog!!

this started as a normal, silly askblog. you know, the sort that replied in a sentence or two.

...i don't know how we got here.

at some point i implemented the worst tagging system rp tumblr has ever seen so there's that

anyways!! featuring my main SCP OC Night and (newly added) my Fallen London OC, Axel. some extras include her ex-parasite Entity and coworker Lewis. also the Graveyard AICs from SCP-7374 for some reason.

general information about them :

Name: Nightwing Sky, alternately Night.aic

Age: 20 at time of death

Pronouns: she/her

Sexuality: ace and demi

Species: AI construct (mind), cybernetic human (body)

Abilities: She can use her core energy and manipulate it, up to a point. Also has retractable metal blade wings (think Murder Drones) and claws that can be equipped with a shock module.

About: Night is an AIC (artificially intelligent conscript) that works with the SCP Foundation. She is part of Mobile Task Forces Alpha-9 (with other anomalies) and Kappa-10 (with other AICs). She is also part of the dimensional research program, often traveling to different realities to gather and send back information. She was formerly a human/dragon hybrid, created by Red Nexus and employed by the Foundation, until she 'canceled out' 3125 and died, then her consciousness was brought back as an AI system and put back into her original body, which was heavily modified.

Playlist:

-------------------------------------

Name: Axel Maxwell

Age: 37

Pronouns: they/them

Sexuality: pansexual

Species: human (?)

Abilities: Has some form of regeneration ability. Able to regrow teeth, fingers, you name it, as long as the injury isn't too severe. Can eat anything- with side effects of course, but without dying. Sometimes able to walk through mirrors depending on the circumstances. Given access to irrigo, can wipe or suppress anyone’s memories through a certain procedure.

About: Axel is a Midnighter in Fallen London, an influential piece in the Great Game, and a Seeker of Mr. Eaten’s Name. All that to mean, there’s a lot more to them than meets the eye. They’re terribly reserved with personal information, and they've observed, stolen, followed, decrypted and occasionally murdered. Being a Seeker is a road that leads only to misery and damnation and woe and personal loss and financial ruin and loneliness and death and imprisonment and so on and so forth. Descending into obsession and madness, and all that… but it is a long, long process, and Axel’s just started. 

Playlist: 

everyone else: ⬇️

-------------------------------------

Names: the Graveyard AICs - Janus, Caerus, and Hermes.aic

Age: on average, 2-3 months

Pronouns: they/it

Sexuality: sexuality? they don’t even have identity down yet

Species: collective AI system

Abilities: Individual: Janus can manifest minor memetic hazards (decomissioned for not ‘communicating effectively’), Caerus can access the Foundation intranet at will, and is able to find a way into most networks (decommissioned for not ‘showing signs of sapience’), and Hermes can perform minor localized reality manipulation (decomissioned for putting a researcher into a coma).

About: They’re originally from canon SCP-7374, they only show up in that one article and then they get destroyed, so this is sort of an AU in which Dr. Parker is less violent, and they're still there. They mostly speak together and often identify as one (because its easier that way), even though they have different personalities and skills. They're currently incorporeal, communicating by transmissions through devices (and their abilities.) .aic stands for Artificial Intelligence Construct, used to designate a specific AI as created by and working for the Foundation. All 3 of them escaped the "AIC Graveyard", a server where the Foundation sends AICs that they deem ineffective or dangerous.

Playlist:

-------------------------------------

Name: Entity

Age: 25, 16 at time of transformation

Pronouns: it/he

Sexuality: aroace

Species: mist parasite (idk)

Abilities: Can possess biological minds, including most animals and humans, partially or completely occupying their brains.

About: Entity is a parasite/symbiont who’s original form is a vaguely humanoid red mist figure. Originally only known as Phoenix, he was a test subject for Red Nexus along with Night. He got selected for ‘intensive testing’, and they put him through a series of processes that temporarily stripped away most of his base personality and eventually he took the form of a mist entity that could only survive through extended contact with a host consciousness. It ended up finding Night again, and taking her as its main host, until her biological consciousness was erased and it was forced to take the mind of her pet snake, Fang.

Playlist:

-------------------------------------

Name: Researcher Ashton Lewis (formerly D-9355 / SCP-939-102)

Age: 37

Pronouns: he/him

Sexuality: bisexual

Species: human

Abilities: Currently no notable abilities. Is very bad at dying, though.

About: Lewis is a researcher for the SCP Foundation, specializing in interviewing and talking with different anomalies. He was formerly a successful experimental psychologist, until he got charged with assault. He accepted the offer of becoming a D-Class for the Foundation instead of taking jail time, but while he was a D-Class he started metamorphosing into a SCP-939 instance. They eventually turned him back using SCP-914. He recontained 682 during a breach by himself, which convinced the Foundation to let him temporarily become staff so they could utilize his skills in talking to anomalies.

Playlist:

[thehellsitenewsie]

Election disinformation takes a big leap with AI being used to deceive worldwide (AP News)

LONDON (AP) — Artificial intelligence is supercharging the threat of election disinformation worldwide, making it easy for anyone with a smartphone and a devious imagination to create fake – but convincing – content aimed at fooling voters.

It marks a quantum leap from a few years ago, when creating phony photos, videos or audio clips required teams of people with time, technical skill and money. Now, using free and low-cost generative artificial intelligence services from companies like Google and OpenAI, anyone can create high-quality “deepfakes” with just a simple text prompt.

A wave of AI deepfakes tied to elections in Europe and Asia has coursed through social media for months, serving as a warning for more than 50 countries heading to the polls this year.

“You don’t need to look far to see some people ... being clearly confused as to whether something is real or not,” said Henry Ajder, a leading expert in generative AI based in Cambridge, England.

The question is no longer whether AI deepfakes could affect elections, but how influential they will be, said Ajder, who runs a consulting firm called Latent Space Advisory.

Read more

[study-in-uk-msm-unify]

Emerging Industries: Opportunities in the UK Job Market

Planning to study in the UK? Want to explore career opportunities in the United Kingdom?

In the ever-evolving world, the UK stands as a hub for innovation and growth, bringing numerous emerging sectors that offer promising career prospects. As technology continues to reshape the global economy, several industries in the UK have captured attention, presenting exciting opportunities for job seekers and entrepreneurs alike. Take a look at some of the career opportunities you could take advantage of.  

1. Fintech (Financial Technology)

The UK has strengthened its position as a leading fintech hub, with London being a prominent center for financial innovation. Fintech includes a wide array of sectors, including mobile payments, blockchain, and cybersecurity. Job opportunities in this field span software development, data analysis, financial consultancy, and regulatory compliance.

2. Technology and IT 

In the emerging era of the digital world, technology continues to dominate businesses worldwide. As, a result the demand for technologically advanced professionals tends to rise. Software developers, data analysts, cybersecurity experts, and artificial intelligence specialists roles are in high demand. With the increasing use of technologies and the need for innovative solutions, these roles offer tremendous growth opportunities and competitive salaries. 

3. Healthtech

The combination of healthcare and technology has given rise to HealthTech, a sector dedicated to enhancing medical services through innovative solutions. From telemedicine to health analytics and AI-driven diagnostics, HealthTech offers diverse career paths for healthcare professionals, software developers, data scientists, and researchers.

4. Renewable energy and sustainability

With an increased focus on sustainability and combating climate change, the UK has been investing significantly in renewable energy sources. Wind, solar, and hydroelectric power are among the sectors experiencing rapid growth. Job roles in renewable energy range from engineering and project management to research and policy development, catering to those passionate about environmental conservation.

5. Cybersecurity

With the increasing frequency of cyber threats, the demand for cybersecurity experts is on the rise. Businesses and governments are investing heavily in safeguarding digital infrastructure. Job roles in cybersecurity encompass ethical hacking, network security, data protection, and risk analysis, presenting ample opportunities for skilled professionals in this field.

6. Artificial Intelligence and Machine Learning

AI and machine learning are revolutionizing various industries, including finance, healthcare, and manufacturing. The UK is fostering innovation in AI research and development, offering roles in AI programming, data engineering, robotics, and AI ethics.

7. Creative industries

The UK has a rich heritage in the creative sector, encompassing fields like media, design, gaming, and entertainment. Roles in creative industries span from content creation and graphic design to video production and game development, appealing to individuals with artistic and technical skills.

In conclusion, the UK job market is filled with opportunities within emerging industries, showing the nation's commitment to innovation and progress. Whether one's passion lies in sustainability, technology, healthcare, or creative endeavors, these sectors offer an array of possibilities for career growth and contribution to shaping the future.

By embracing change, acquiring relevant skills, and staying adaptable, individuals can position themselves to thrive in these dynamic and promising industries, contributing to both personal success and the advancement of these transformative sectors in the UK.

If you are struggling to get the right guidance, please do not hesitate to consult MSM Unify. 

At MSM Unify, you can explore more than 50,000 courses across 1500+ educational institutions across the globe. MSM Unify has helped 1,50,000+ students achieve their study abroad dream so far. Now, it is your turn to attain your study-abroad dreams and elevate your professional journey! So, get ready to broaden your horizons and make unforgettable memories on your upcoming adventure.

[callofdutymobileindia]

Top Reasons to Take an Artificial Intelligence Course in London in 2025

Artificial Intelligence (AI) has transitioned from a futuristic concept to a real-world necessity. Whether it's powering voice assistants, automating customer service, or driving autonomous vehicles, AI is at the heart of innovation. If you're considering diving into the world of AI, there's no better place to do it than London—one of the leading global hubs for technology and education.

In this blog, we'll explore the top reasons to take an Artificial Intelligence course in London in 2025, highlighting why the city remains a magnet for aspiring data scientists, AI engineers, and tech entrepreneurs.

1. London: A Global Tech Powerhouse

London has firmly established itself as one of the most vibrant technology hubs in the world. Home to thousands of startups, tech accelerators, and global headquarters, the city provides fertile ground for AI professionals to grow. Companies like DeepMind, BenevolentAI, and Microsoft Research operate in or near the city, providing inspiration and employment opportunities for AI talent.

Choosing an Artificial Intelligence course in London means placing yourself in a city that breathes innovation. The exposure to real-world AI applications and networking opportunities here is unparalleled.

2. High Demand for AI Professionals

The demand for AI talent is skyrocketing across the UK, and London is leading the charge. A report by the UK Government’s Office for Artificial Intelligence reveals that AI job postings have increased by over 200% since 2020. In 2025, this trend shows no signs of slowing down.

Companies across sectors—finance, healthcare, retail, transportation, and media—are seeking AI experts to develop intelligent solutions. Completing an Artificial Intelligence course in London equips you with the skills to enter a booming job market with high-paying roles like:

AI Engineer

Data Scientist

Machine Learning Engineer

NLP Specialist

Computer Vision Expert

3. World-Class Educational Ecosystem

London boasts some of the most prestigious universities and institutes offering advanced AI training. But beyond the traditional academic routes, there are also professional, hands-on AI training programs designed for fast career transitions. These courses emphasize:

Real-world AI projects

Practical knowledge of tools like Python, TensorFlow, and Scikit-learn

Industry-relevant modules like Generative AI, NLP, and Computer Vision

Career mentoring and placement support

One globally recognized provider—known for its practical, project-driven approach—is training professionals from various backgrounds in AI, data science, and machine learning, making AI education more accessible than ever.

4. A Thriving AI Startup Scene

London’s startup ecosystem is teeming with AI-driven innovation. According to Tech Nation, AI startups in the UK raised over £3.2 billion in funding in 2024, with a significant share coming from London-based companies.

By taking an Artificial Intelligence course in London, you’ll be strategically placed near these startups, opening doors to:

Internships and project-based learning

Job opportunities in early-stage companies

Potential co-founder connections if you want to launch your own AI venture

Startups like Faculty, Tractable, and Synthesia have grown from London to international acclaim—proof of what’s possible with the right skills and network.

5. Opportunities to Work with Cutting-Edge AI Projects

In London, learners often get the chance to contribute to AI projects that have a tangible impact on society. From helping the NHS deploy predictive analytics to working on smart mobility solutions with Transport for London (TfL), the city provides endless opportunities to apply your skills to meaningful challenges.

A well-structured Artificial Intelligence course in London will typically include capstone projects or collaborations that expose students to such real-world applications. This practical experience is invaluable when transitioning into the workforce.

6. Strong Government & Industry Support for AI

The UK government has positioned AI at the center of its tech policy. With initiatives like the National AI Strategy and AI Council, London enjoys robust institutional backing to foster talent, fund research, and support businesses leveraging AI.

As a student or professional undergoing AI training, this translates to:

Access to government-sponsored research and innovation grants

AI-focused meetups, seminars, and industry events

Policy-driven demand for responsible AI, ethical training, and compliance knowledge

7. Multicultural Environment with Global Talent

London is home to people from over 200 nationalities and is a melting pot of cultures, perspectives, and ideas. This cosmopolitan character makes it an enriching place to learn and collaborate in the AI domain.

In a typical Artificial Intelligence course in London, you’ll meet fellow learners from tech, finance, healthcare, marketing, and more—each contributing unique insights. Such diversity fosters creativity and out-of-the-box thinking, which are essential qualities in AI innovation.

8. Access to World-Renowned AI Events and Conferences

London hosts some of the most prestigious AI events and conferences annually, including:

CogX – Festival of AI and Transformational Technology

AI & Big Data Expo Global – Showcasing enterprise AI solutions

The AI Summit London – Global hub for business-ready AI

By studying in London, you’re not just learning AI—you’re part of the global conversation. These events offer opportunities to learn from leaders, connect with employers, and showcase your work.

9. Flexible Learning Options for Every Profile

Whether you're a student, a working professional, or someone switching careers, there’s an Artificial Intelligence course in London that fits your needs:

Full-time Bootcamps: For those looking to accelerate their careers fast

Part-time and Weekend Courses: Ideal for professionals with busy schedules

Online + Offline Hybrid Models: Offering the best of both convenience and community

Many institutes now deliver flexible formats without compromising on practical rigor. Programs are tailored to help even non-tech professionals break into the AI field successfully.

10. Gateway to International AI Careers

London isn’t just a great place to study and work—it’s also a springboard to global opportunities. A certification from a reputable AI training provider in London is well-recognized by employers worldwide.

Graduates often go on to work in tech hubs like:

Silicon Valley (USA)

Toronto (Canada)

Berlin (Germany)

Bengaluru (India)

Singapore

With the global reach of London-based education, your AI career can easily become international.

A Closer Look at Quality AI Education in London

One institute that’s making a significant impact is a globally recognized training provider offering a hands-on, project-oriented approach to AI education. Its Artificial Intelligence Course in London is designed by industry experts and features:

Real-world case studies

1-on-1 mentorship

Practical tools like Python, Scikit-learn, TensorFlow

Training in cutting-edge domains like Generative AI and Agentic AI

Career support with resume building and interview prep

Graduates from this institute have secured positions at leading firms and startups, proving the value of industry-aligned, practice-driven education. Their growing presence in London ensures learners benefit from local industry connections while receiving global-quality instruction.

Final Thoughts

Choosing to take an Machine Learning Course in London in 2025 is a smart investment in your future. The city’s dynamic tech landscape, coupled with its educational excellence and job opportunities, make it a top destination for AI education.

Whether you're just starting out, transitioning careers, or looking to upskill, London offers everything you need—world-class training, networking, and a thriving AI job market. With the right course, especially one backed by real-world projects and mentorship like those offered by the Boston Institute of Analytics, you're not just learning AI—you’re preparing to lead in it.

[jordanianroyals]

12 September 2023: Queen Rania called for a new model of leadership that aims to cultivate common ground and inject humanity into decision-making, highlighting the need to come together on shared challenges, such as the migrant, refugee, and climate crises.

Speaking in London at the CogX Global Leadership Summit, she recalled the sinking of a crowded migrant boat in the Mediterranean Sea last June, leaving more than 600 people dead as they attempted to reach Europe.

She noted how each side of the migration debate saw the shipwreck as proof of their version of the truth, with some blaming Europe’s tough migration policies for the disaster, while others charged that Europe’s leniency had led the migrants to risk their lives in the first place.

“When we can’t tolerate ideas that challenge our own, we hold their proponents in contempt,” Her Majesty said. Rather than “retreating into bunkers of ‘us vs. them,’ she called for an openness to doubt, explaining that unchecked certainty can lead us to “fight each other instead of fighting our problems.”

“You may think certainty is a mark of moral integrity – but is it?” Queen Rania asked. “Certainty can lead to moral fracture – a code of ethics that registers a sinking ship first as evidence of being right, and only second as tragedy.” (Source: Petra)

Her Majesty also called for increased global support to refugee host nations such as Jordan, where one in eight people is a Syrian refugee. She also drew attention to the growing needs of African nations receiving refugees from Sudan, where more than 4 million people have been displaced since April.

“Getting things right means doing the right thing. And for that, we must think with our hearts,” she said, citing the example of His Majesty King Abdullah II, who, following the onset of the Syrian Civil War in 2011, made the decision to welcome hundreds of thousands of Syrian refugees to Jordan.

“His Majesty knew what mattered most. His heart led his actions. As he put it, ‘There is a hungry child and a desperate mother at our border. How could we not let them in?’” Queen Rania said.

Her Majesty commended the generosity of the people of Jordan, as well as that of host nations currently welcoming refugees fleeing violence in Sudan. However, she stressed that countries that are neighbors to conflict cannot shoulder the burden of refugee hosting alone.

“Since July, the World Food Program has been cutting support for Syrian refugees in Jordan—not because the need has passed, but because new emergencies are breaking out, while donor support has lagged,” she said, adding that 74 percent of the world’s displaced are hosted by low- and middle-income countries.

The Queen also highlighted the unequal global approach to refugee crises, stating that, four months into the war in Sudan, less than 30 percent of donor appeals had been met, while the Ukraine emergency appeal was 70 percent funded within its first month.

“I don’t think we need a supercomputer to explain such discrimination,” Her Majesty said.

“When we demonize people for seeking a better life for their families, we normalize their suffering. We normalize 11 children on average drowning each week in dangerous Mediterranean crossings,” she said. “We normalize people going hungry in a world of plenty—not because we cannot help them, but because we’ve chosen not to.”

During her speech, Queen Rania explained that, in an age where “where AI churns out content and code, and where we’re connected to everything, everywhere, all at once,” it is easy to be distracted and lose focus. However, she stressed that, “progress is not inevitable. It is not automatic. We are the ones who chart the course and hold the wheel.”

“What good is artificial intelligence if we cannot summon authentic empathy with it?” Queen Rania asked.

Drawing on her almost 25 years of experience as Queen of Jordan, Her Majesty shared that, after spending time with some of the world’s most influential leaders as well as some of its most vulnerable communities, her view of leadership has not just shifted, but inverted.

“In refugee camps from Jordan to Greece to Bangladesh, I’ve met people with nothing who still manage to share everything. People brutalized by a selfish world, who still put others’ lives before their own,” she said. “If the world’s most powerless can act with such strength, what does that say about the rest of us?”

Queen Rania also highlighted the role that “learning how to follow” plays in leadership and how it can fuel progress in areas such as climate change, which she described as “an existential challenge that demands a global movement.”

The CogX Global Leadership Summit launched in 2020 under the banner of the CogX Festival, and has since hosted over 3,500 expert speakers from business, government, academia, philanthropy, and other fields. Launched in 2014, the CogX Festival convenes global leaders, the tech industry, and the public for wide-ranging discussions on the implications of Artificial Intelligence and other emerging technologies.

[dekhocampus11]

Jagran Lakecity University - [JLU], Bhopal

Jagran Lakecity University (JLU), located in Bhopal, Madhya Pradesh, is a well-regarded private university established in 2013 under the Jagran Social Welfare Society. It is recognized by the University Grants Commission (UGC) and is one of the fastest-growing universities in Central India. Known for its strong industry-academic partnerships, global collaborations, and student-centric approach, JLU offers a modern educational environment focused on innovation and employability.

Academic Structure and Programs

JLU offers a wide variety of undergraduate, postgraduate, and doctoral programs across multiple disciplines through its dedicated schools:

The School of Engineering and Technology offers a Bachelor of Technology (B.Tech.) degree in several specializations, including computer science, artificial intelligence, and cybersecurity. The curriculum emphasizes hands-on learning and new-age technologies.

The School of Business offers a Bachelor of Business Administration (BBA), a Master of Business Administration (MBA), and specialized programs such as Business Analytics. The business school works closely with industry partners to offer real-world exposure.

School of Law: Offers BA LLB, BBA LLB, LLM, and Ph.D. programs. The school is known for its moot court training, legal aid clinics, and judicial internships.

School of Journalism and Mass Communication: Recognized nationally, it offers programs in journalism, media production, and communication. Students get practical training in digital studios and field assignments.

School of Design and Creative Arts: Offers degrees in Fashion Design, Interior Design, and Visual Arts, focusing on creativity, innovation, and design thinking.

School of Computer Applications and IT: Offers programs such as BCA and MCA, equipping students with knowledge in software development, database systems, and computer networks.

Infrastructure and Campus Life

JLU’s 40-acre campus in Chandanpura, Bhopal, is equipped with modern facilities designed for academic excellence and holistic development. Key features include:

Smart classrooms and high-tech laboratories

A central library with over 35,000 physical and digital resources

Separate hostels for boys and girls with all modern amenities

Cafeteria offering a variety of nutritious meals

Sports facilities including basketball courts, football grounds, gyms, and indoor games

Medical support with on-campus health care services

Student life at JLU is vibrant, with numerous clubs, societies, and events. Cultural festivals, seminars, sports meets, and student-led initiatives keep the campus lively and engaging.

Rankings, Accreditations, and Recognitions

JLU has received a Diamond rating from QS I-Gauge, making it the first university in Madhya Pradesh to achieve this distinction.

It has been ranked among the top private universities in India by Education World.

It earned the E-LEAD Certification from QS I-Gauge for excellence in online and digital learning.

The university was awarded “University of the Year” by the Government of Madhya Pradesh multiple times between 2015 and 2019.

JLU is also recognized internationally and has represented India at forums like the House of Commons in London.

Placements and Industry Interface

Jagran Lakecity University has a strong track record of placements, with more than 80% of students placed annually. The university has partnerships with leading national and multinational companies including:

Amazon

Accenture

Wipro

TCS

Deloitte

HDFC Bank

Infosys

In 2023, the highest package offered was ₹14.25 LPA, while the average ranged between ₹4–6 LPA depending on the course and specialization.

JLU has also partnered with international universities across the UK, USA, and Europe, offering student exchange programs and global exposure.

Admissions and Scholarships

Admissions at JLU are based on merit, entrance exams, and personal interviews. For programs like B.Tech or MBA, national-level test scores (like JEE, CAT, and MAT) are considered. The university offers scholarships based on academic merit, sports performance, and need-based criteria.

Conclusion

Jagran Lakecity University is emerging as a modern, student-focused institution offering quality education with a global outlook. With strong academic programs, industry-aligned training, global partnerships, and an engaging campus environment, JLU provides a comprehensive platform for students to grow both professionally and personally. It is a strong choice for students seeking a future-ready education in Central India.

[digitalblogs23]

Inside AI Seed: How We Choose the AI Startups We Back

As Europe’s #1 AI-focused venture capital fund, AI Seed has backed over 40 early-stage AI startups since 2017. What sets us apart is a deeply technical due diligence process and a specialized investment model designed exclusively for artificial intelligence ventures.

Whether you're a founder building at the frontier of AI, or an investor seeking exposure to this transformative sector, here’s a transparent look at how we evaluate and support the companies we choose to back.

👉 Visit AI Seed to learn more

Our Rigorous AI Startup Due Diligence

In a space flooded with hype, AI startup due diligence is not just about ticking boxes—it's about distinguishing real innovation from noise. Our process is known across London’s tech ecosystem for its depth and precision.

1. Initial Tech Review

We begin by cutting through the marketing. Founders must show us their machine learning models—not just the product demo. We dig into the actual algorithms and infrastructure powering the company.

2. Deep Technical Assessment

If the tech is promising, we conduct a 1–2 day hands-on evaluation, performed by our Managing Partner or an associate from our network of AI experts. This culminates in a full Technical Due Diligence (Tech DD) report, which guides our investment decisions.

3. Collaborative Tech Roadmapping

We work closely with startups that pass our review to refine their technology roadmap, supporting them in building scalable, differentiated AI products. This stage often reveals whether the founding team can evolve from builders to category leaders.

What We Look For in AI Founders

Unlike traditional VCs, we specifically seek scientist-entrepreneurs—teams where at least one founder is a machine learning expert, often with a PhD or deep applied AI experience.

We assess:

Technical depth and credibility

Execution history and founder-market fit

Passion and clarity of vision

Ability to solve real, scalable problems using AI

This founder-first approach is critical to our strategy as a specialized early-stage AI VC fund.

Our Technology Evaluation Framework

Before we talk market size or go-to-market plans, we ask:

What is the core problem this AI is solving, and does the technology offer a true competitive advantage?

We use a structured framework that examines:

Intellectual Property

We assess the novelty and defensibility of algorithms, data pipelines, and model architectures—often looking for proprietary datasets or techniques that could form lasting moats.

Technical Feasibility

We scrutinize whether the AI product is actually deliverable using current technology, tools, and compute resources—not just in theory, but in practice.

The Tech Stack Pyramid

We visualize an AI company’s foundation as a pyramid:

Data Capture & Preprocessing

Infrastructure & Storage

Modeling & Deployment

Monitoring & Versioning

We evaluate each layer, especially the data layer, which often determines long-term defensibility and model performance.

Evaluating Market Potential

Of course, technology alone doesn’t make a company. We also rigorously evaluate:

Market size and growth trends

Competitive and regulatory environment

Timing and barriers to adoption

Business model scalability

We look for signs that the startup can graduate from POC-driven consulting to a standardized, repeatable product offering.

Post-Investment Support: Beyond Capital

Most investors stop at the cheque. We don’t.

AI startups face different challenges from standard SaaS ventures—longer R\&D cycles, talent scarcity, and more complex infrastructure. That’s why we provide:

AI Talent Access: We help portfolio companies recruit elite technical talent.

Go-to-Market Introductions: Commercial partnerships and warm intros to ideal early customers.

Transatlantic Expansion: Unique support for European AI startups breaking into the U.S. market via our Silicon Valley network.

Ongoing Technical Advice: We remain involved with founders as long-term thought partners—not just financial backers.

Why AI Seed Is Different

While other funds are chasing the AI boom, AI Seed is building it—company by company, founder by founder. Our hands-on, high-credibility approach enables startups to build real technology without being forced to compromise their product vision for short-term gains.

And the results speak for themselves: we've built Europe’s largest and best-performing AI-native portfolio, with an unmatched track record of investing in real, scalable AI innovation.

If you're building the future of AI—or looking to invest in it—we’d love to hear from you.

👉 Explore AI Seed and get in touch

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Ireland vs. UK: Which Is Better for Tech-Oriented Master’s Programs?

International students are more and more looking to Europe for high-quality tech-oriented master's programs as the need for qualified people in technology-related industries keeps rising globally. Among the continent's two clear winners are Ireland and the United Kingdom (UK). Both nations have strong tech ecosystems, excellent universities, and encouraging post-study work opportunities. But which one is better for your future in technology?

 Focussing on important elements like quality of education, tuition and living expenses, industry ties, job opportunities, visa rules, and more, this blog investigates a head-to-head comparison between Ireland and the UK in terms of tech-oriented master's programs.

1. Quality of Education and Reputation

United Kingdom

Among the most renowned universities in the world, the UK boasts University of Oxford, University of Cambridge, Imperial College London, and University of Edinburgh. These universities provide innovative master's degrees in Artificial Intelligence, Data Science, Cybersecurity, Software Engineering, and related disciplines.

Long-standing academic excellence and worldwide recognition.

 Emphasis on research and creativity.

 Access to resources and modern laboratories.

Ireland

Ireland also boasts well regarded universities including National University of Ireland Galway, University College Dublin, and Trinity College Dublin. Particularly because of the presence of worldwide technology behemoths, Ireland has become a centre for tech education over the last ten years.

Strengths:

Modern, industry-relevant curriculum.

Good cooperation between universities and global technology corporations.

Acknowledged as a fast-expanding destination for foreign tech talent.

 Verdict: The UK could surpass Ireland in historical prestige and worldwide rankings, but with very practical, industry-aligned courses Ireland is fast catching up.

2. Availability of Tech-Oriented Master’s Programs

UK

UK universities provide a greater variety of tech master's degrees, including specialisations such as:

MSc in Artificial Intelligence

MSc in Cybersecurity

MSc in Data Analytics

MSc in Human-Computer Interaction

MSc in Robotics

Often including multidisciplinary choices and alliances with leading technology companies, you will discover a wider range of niche courses.

Ireland

Though more focused, Ireland's offerings are just as powerful. Among the popular master's degrees are:

MSc in Computer Science (Data Science)

MSc in Artificial Intelligence

MSc in Software Engineering

MSc in Cloud Computing

MSc in Cybersecurity

Irish universities concentrate on matching these courses to the requirements of their expanding technology sector.

 Verdict: While Ireland offers robust, focused choices aimed at business need, the UK has more program diversity.

3. Tuition Fees and Cost of Living

UK

Tuition fees: Generally range from £15,000 to £30,000 per year for international students.

Cost of living: About £12,000 to £15,000 per year depending on location (higher in London).

Scholarships: Several options available including Chevening, GREAT scholarships, and university-specific awards.

Ireland

Tuition fees: Generally range from €12,000 to €25,000 per year.

Cost of living: About €10,000 to €14,000 annually, with Dublin being the most expensive.

Scholarships: Government of Ireland International Education Scholarship and university-based funding are available.

Verdict: For many overseas students, Ireland is a more reasonably priced choice since it usually has somewhat cheaper tuition rates and living costs.

4. Industry Connections and Internship Opportunities

UK

The UK is home to several tech hubs, including London, Manchester, and Cambridge.

Universities often have career centers and tie-ups with companies like Google, Amazon, Microsoft, and Accenture.

Many programs include optional internships or placements.

Ireland

Many tech behemoths including Google, Facebook, Apple, Amazon, Intel, and Microsoft have their European headquarters in Ireland.

 Many tech master's programs provide research projects and integrated internships done in partnership with businesses.

 Tech clusters such Dublin's Silicon Docks and Cork's IT corridor help to make Ireland a strong rival.

Verdict: Ireland's tech ecosystem is very well-integrated with education, therefore enabling students an advantage in acquiring practical experience.

5. Post-Study Work and Immigration Policies

UK

UK offers a Graduate Route Visa: Lets overseas students remain for two years following graduation (three years for PhD holders).

The UK runs a points-based immigration system supporting STEM graduates.

The number of overseas graduates entering the employment market causes great rivalry.

Ireland

Ireland Provides a Third Level Graduate Scheme: Lets non-EU/EEA students remain for two years following graduation to seek work.

Graduates with tech-related occupations will find it simpler to obtain residency and work permits.

Ireland's relatively smaller population and concentrated tech sector produce more possibilities and less competition.

Verdict:Both nations provide good post-study work possibilities, but Ireland is usually regarded as more immigration-friendly, particularly in the tech industry.

6. Job Opportunities and Employability

UK

Especially in cities like London, Bristol, and Edinburgh, a large and mature tech job market.

 Requests for positions in software development, data science, cybersecurity, machine learning, and artificial intelligence.

 Job rivalry can be fierce, though, and many companies still favour applicants with previous UK work experience.

Ireland

Among the quickest expanding tech employment markets in Europe.

 High demand in artificial intelligence, data analytics, cybersecurity, and cloud computing.

 Ireland's tight integration of academic and business sectors usually provides graduates a more seamless move to work.

Verdict: While the UK offers a broader job market, Ireland provides more targeted opportunities and higher employability rates for tech graduates. 

7. Language, Culture, and Lifestyle

UK

English-speaking environment all over.

More cosmopolitan cities with varied global populations.

Broad cultural and historical attraction with museums, art, sports, and nightlife.

Ireland

Also English-speaking, Irish being the second official language.

 Friendly and welcoming society with great community feeling.

 Safe, green cities with a good quality of life and fairly low population density.

Verdict: Both nations are culturally rich and provide a decent standard of living. Especially for first-time overseas students, Ireland may seem more laid-back and less hectic.

8. Alumni Network and Global Recognition

UK

Robust worldwide reach of former student networks.

 UK tech degrees are acknowledged and valued all around.

Ireland

Ireland Expanding alumni networks, especially in the tech sector.

 Especially inside the EU, Irish degrees are becoming more acknowledged in worldwide technology markets.

Verdict: Although Ireland is improving considerably, the UK still tops in alumni strength and worldwide branding.

Conclusion: Which One Should You Choose?

Your academic objectives, budget, and long-term career aspirations will finally guide your choice between studying in Ireland or the UK for a tech-oriented master’s degree.

 If you want internationally known universities, a great range of courses, and don't mind spending for a premium education with access to top-notch research, pick the UK.

 If you appreciate industry-integrated education, reasonable tuition, and a clear route to work in certain of the world's top technology firms, pick Ireland.

Though both places provide amazing chances, finding the appropriate fit calls for professional advice.

Let Clifton Study Abroad Help You Decide

At Clifton Study Abroad, we specialize in helping students like you make the smartest choices for their academic future. From shortlisting the best tech universities in the UK and Ireland to application support, visa guidance, and post-admission assistance, our expert counsellors will walk with you every step of the way.