#AI & Machine learning course

[queer-asinfuckyou]

The genAI hate is funny to me bc yall don't actually hate generative AI, you hate the way it's being used.

You know how spellcheck sucks now? And it's because they're doing all this genAI bullshit! If they just kept AI out of spellcheck it would be FINE!!!

Except here's the thing: old spellcheck was genAI too, it was just well built. When you got a new phone, you'd have to "train" it to stop correcting fuck to duck by hitting the x or deleting the correction and writing your beautiful swear all over again. The fact that it eventually stopped fixing your swears is because it was a piece of machine learning software that learned your texting and word choice patterns. That's generative AI, babey! The difference between that and what we have now is that the old system had rules built into it. It had a solid foundation of grammar and capitalization and when to expect a word in a sentence.

Well built generative AI is actually fine and dandy and useful, just like predictive AI. The problem is, as always, capitalism enshittifying everything.

[hackeocafe]

AI Fundamentals Explained! Machine Learning Full Course | Stanford Online (CS229)- Andrew Ng (Pt 2)

Andrew Ng’s renowned Machine Learning University Course continues to gain significance as the profound impact of machine learning becomes increasingly evident in modern applications. What sets this course apart is Ng’s ability to break down complex concepts with clarity and precision, enabling learners to grasp fundamental ideas intuitively. His structured and insightful teaching approach makes advanced topics accessible, ensuring both depth and clarity in learning. Recognizing the course’s enduring value, we have made this material available to provide broader access to this exceptional educational resource. We extend our sincere gratitude to Andrew Ng and the Stanford School of Engineering for their remarkable contribution to the field. This marks the second installment of a distinguished three-part series, meticulously curated to offer a rigorous and structured learning experience. We invite you to support Andrew Ng and the Stanford School of Engineering by exploring the links below.

[bigleapblog]

Your Guide to B.Tech in Computer Science & Engineering Colleges

In today's technology-driven world, pursuing a B.Tech in Computer Science and Engineering (CSE) has become a popular choice among students aspiring for a bright future. The demand for skilled professionals in areas like Artificial Intelligence, Machine Learning, Data Science, and Cloud Computing has made computer science engineering colleges crucial in shaping tomorrow's innovators. Saraswati College of Engineering (SCOE), a leader in engineering education, provides students with a perfect platform to build a successful career in this evolving field.

Whether you're passionate about coding, software development, or the latest advancements in AI, pursuing a B.Tech in Computer Science and Engineering at SCOE can open doors to endless opportunities.

Why Choose B.Tech in Computer Science and Engineering?

Choosing a B.Tech in Computer Science and Engineering isn't just about learning to code; it's about mastering problem-solving, logical thinking, and the ability to work with cutting-edge technologies. The course offers a robust foundation that combines theoretical knowledge with practical skills, enabling students to excel in the tech industry.

At SCOE, the computer science engineering courses are designed to meet industry standards and keep up with the rapidly evolving tech landscape. With its AICTE Approved, NAAC Accredited With Grade-"A+" credentials, the college provides quality education in a nurturing environment. SCOE's curriculum goes beyond textbooks, focusing on hands-on learning through projects, labs, workshops, and internships. This approach ensures that students graduate not only with a degree but with the skills needed to thrive in their careers.

The Role of Computer Science Engineering Colleges in Career Development

The role of computer science engineering colleges like SCOE is not limited to classroom teaching. These institutions play a crucial role in shaping students' futures by providing the necessary infrastructure, faculty expertise, and placement opportunities. SCOE, established in 2004, is recognized as one of the top engineering colleges in Navi Mumbai. It boasts a strong placement record, with companies like Goldman Sachs, Cisco, and Microsoft offering lucrative job opportunities to its graduates.

The computer science engineering courses at SCOE are structured to provide a blend of technical and soft skills. From the basics of computer programming to advanced topics like Artificial Intelligence and Data Science, students at SCOE are trained to be industry-ready. The faculty at SCOE comprises experienced professionals who not only impart theoretical knowledge but also mentor students for real-world challenges.

Highlights of the B.Tech in Computer Science and Engineering Program at SCOE

Comprehensive Curriculum: The B.Tech in Computer Science and Engineering program at SCOE covers all major areas, including programming languages, algorithms, data structures, computer networks, operating systems, AI, and Machine Learning. This ensures that students receive a well-rounded education, preparing them for various roles in the tech industry.

Industry-Relevant Learning: SCOE’s focus is on creating professionals who can immediately contribute to the tech industry. The college regularly collaborates with industry leaders to update its curriculum, ensuring students learn the latest technologies and trends in computer science engineering.

State-of-the-Art Infrastructure: SCOE is equipped with modern laboratories, computer centers, and research facilities, providing students with the tools they need to gain practical experience. The institution’s infrastructure fosters innovation, helping students work on cutting-edge projects and ideas during their B.Tech in Computer Science and Engineering.

Practical Exposure: One of the key benefits of studying at SCOE is the emphasis on practical learning. Students participate in hands-on projects, internships, and industry visits, giving them real-world exposure to how technology is applied in various sectors.

Placement Support: SCOE has a dedicated placement cell that works tirelessly to ensure students secure internships and job offers from top companies. The B.Tech in Computer Science and Engineering program boasts a strong placement record, with top tech companies visiting the campus every year. The highest on-campus placement offer for the academic year 2022-23 was an impressive 22 LPA from Goldman Sachs, reflecting the college’s commitment to student success.

Personal Growth: Beyond academics, SCOE encourages students to participate in extracurricular activities, coding competitions, and tech fests. These activities enhance their learning experience, promote teamwork, and help students build a well-rounded personality that is essential in today’s competitive job market.

What Makes SCOE Stand Out?

With so many computer science engineering colleges to choose from, why should you consider SCOE for your B.Tech in Computer Science and Engineering? Here are a few factors that make SCOE a top choice for students:

Experienced Faculty: SCOE prides itself on having a team of highly qualified and experienced faculty members. The faculty’s approach to teaching is both theoretical and practical, ensuring students are equipped to tackle real-world challenges.

Strong Industry Connections: The college maintains strong relationships with leading tech companies, ensuring that students have access to internship opportunities and campus recruitment drives. This gives SCOE graduates a competitive edge in the job market.

Holistic Development: SCOE believes in the holistic development of students. In addition to academic learning, the college offers opportunities for personal growth through various student clubs, sports activities, and cultural events.

Supportive Learning Environment: SCOE provides a nurturing environment where students can focus on their academic and personal growth. The campus is equipped with modern facilities, including spacious classrooms, labs, a library, and a recreation center.

Career Opportunities After B.Tech in Computer Science and Engineering from SCOE

Graduates with a B.Tech in Computer Science and Engineering from SCOE are well-prepared to take on various roles in the tech industry. Some of the most common career paths for CSE graduates include:

Software Engineer: Developing software applications, web development, and mobile app development are some of the key responsibilities of software engineers. This role requires strong programming skills and a deep understanding of software design.

Data Scientist: With the rise of big data, data scientists are in high demand. CSE graduates with knowledge of data science can work on data analysis, machine learning models, and predictive analytics.

AI Engineer: Artificial Intelligence is revolutionizing various industries, and AI engineers are at the forefront of this change. SCOE’s curriculum includes AI and Machine Learning, preparing students for roles in this cutting-edge field.

System Administrator: Maintaining and managing computer systems and networks is a crucial role in any organization. CSE graduates can work as system administrators, ensuring the smooth functioning of IT infrastructure.

Cybersecurity Specialist: With the growing threat of cyberattacks, cybersecurity specialists are essential in protecting an organization’s digital assets. CSE graduates can pursue careers in cybersecurity, safeguarding sensitive information from hackers.

Conclusion: Why B.Tech in Computer Science and Engineering at SCOE is the Right Choice

Choosing the right college is crucial for a successful career in B.Tech in Computer Science and Engineering. Saraswati College of Engineering (SCOE) stands out as one of the best computer science engineering colleges in Navi Mumbai. With its industry-aligned curriculum, state-of-the-art infrastructure, and excellent placement record, SCOE offers students the perfect environment to build a successful career in computer science.

Whether you're interested in AI, data science, software development, or any other field in computer science, SCOE provides the knowledge, skills, and opportunities you need to succeed. With a strong focus on hands-on learning and personal growth, SCOE ensures that students graduate not only as engineers but as professionals ready to take on the challenges of the tech world.

If you're ready to embark on an exciting journey in the world of technology, consider pursuing your B.Tech in Computer Science and Engineering at SCOE—a college where your future takes shape.

[vmkhoneyy]

Reporting AI ads and listing them as malicious and I mean it with every fiber of my being ,

[sidewalk-scrawls]

At some point I'm going to make a post about why every post on here about AI "stealing" writing and art is overhyped. And then I'm going to explain the *actual* things we should worry about regarding AI. But before I can do that, I need to collect some good sources and also take several deep breaths lmao

[thegirlwholied]

Tumblr lives by reblogs so... how exactly is opting out of AI going to work here, anyway?

OK, I've opted out of third-party sharing... but say a post of mine was reblogged 300 times. Say one of those 300 Tumblrs hasn't gotten around to opting out. Say that Tumblr's data is sent over for "AI training".

Are AI companies really going to go "oh whoops, OP on this reblogged post is on our opt-out list! hands off"? Are they really?

[god-of-prompt]

Efficient content strategy with ChatGPT

Growing a monetizable audience is HARD.

But it doesn't need to be so time-consuming.

Here's how to make ChatGPT create an incredibly efficient content strategy for you:

📈 Growth content (to get eyeballs)

This is the content that goes viral all the time.

It contains basic information, but that’s why it works so well:

Because it’s beginner-friendly content that's applicable to everyone & promises a “quick fix.”

🧠 Knowledge content (to get fans)

This content educates your audience on specifics.

It teaches your readers 1 of 2 things:

How to get something they desire

How to avoid something they don’t like

When you you solve people’s problems, they start liking you.

💪 Authority content (to get rizz)

This makes your audience trust your expertise.

Because even if someone knows & likes you, they won’t buy from you unless they trust in your ability to help them.

You do this by sharing:

Testimonials

Achievements

Social proof

Copy-paste the prompt below into ChatGPT

Insert 3+ topics you write about

Press enter & watch ChatGPT spit out an amazingly relevant strategy!

Prompt: I want you to create a Content Strategy for me.

A Content Strategy is a document that describes a brand’s social media strategy so it know what to create content around - and what not.

It’s like a North Star for the brand’s content: it’s specific enough to serve as a guiding and reassuring document, but vague enough to leave some room for intepretation.

The brand I want you to create a Content Strategy for is [GIVE CONTEXT],

To create a content strategy, I want you to imagine a Content Strategy Matrix with an x and y axis.

On the x axis, you have the 3 proven content types:

1 Growth content - to get eyeballs

This is the type of content that goes viral on social media all the time.

It’s contains relatively basic information, doesn’t provide any unique value, but that’s precisely why it works so well:

It’s beginner-friendly content that promises a “quick fix”.

2 Knowledge content - to get fans

Knowledge content educates your audience on something specific.

This actionable and informational content teaches your reader one of 2 things:

a) How to get something they really desire

b) How to avoid something they really don’t like

This content works because when you you solve people’s problems, they start liking you.

3 Authority content - to get rizz

Authority content makes your audience trust your expertise.

Because even if someone knows & likes you, they won’t buy from you unless they trust in your ability to help them.

Common ways to do this are:

Sharing testimonials

Sharing achievements

Sharing other social proof

Sharing extremely-specific knowledge content

on the y axis, you have my 3 content buckets, the things I talk about:

1 [TOPIC 1] 2 [TOPIC 2] 3 [TOPIC 3]

—

Now, I want you to create a Content Strategy by filling out the matrix.

Fill out the matrix by applying each of the 3 proven content formats from the x axis to the 3 content buckets on the y axis.

The output should be formatted in a table, so that each resulting matrix field has a bolded headline describing it, with 2 sentences below explaining the component of the content strategy.

😇 If you want to get more prompts, go to https://godofprompt.ai

and supercharge your efficiency with ChatGPT 🔥

#chatgpttips #chatgptprompt #chatgpttips #GodMode #ChatGPTChallenge #promptengineering #bestprompts #aitools #aitoolsforbusiness #aitoolsformarketers #aitoolsforsocialmedia #godofprompt

[opinion-haver]

i think this is an interesting case study into art as property, art as tool.

these images are certainly beautiful— they fall into a pattern— unified with the color and mood its trying to portray. the rusts and the dirty cool tones, the looping gifs. aditya is certainly talented, and those inspired by this gifset have every reason to be.

however, i have questions. the markmaking of each gif is so different as to almost belong to different artists. the first and last were not painted frame by frame clearly, but they have the same sense of movement by using a heavy noise filter. moreover, the gunslinging gif uses opaque, thick lines to render out the scene. the skeletal flower holder uses wispy brushstrokes to eke out the form of the face. and every single face is different to the point of disbelief— first and fourth have this sort of doe eyed anime realism; the second plays with shape in motion, the last is about abstracting the human face to create characteristic.

this makes me suspicious. so i look onto the socials. on his page, every single last profile i see is basically hawking this work as nft. there’s nothing inherently wrong with an nft (env impact aside), an artist desires to get paid for their work, right? but when the only other profile and personal information i see is an X profile, it personally raises more red flags. the instagram posts date back to 2024; with the sheer volume and difference in artistic texture i find it odd how little engagement its getting. it feels like this person makes art solely to sell work. (if not, then one would would imagine a non-online art reputation of which i could find very little.)

along with the ye, trump, and pepe portraits mixed with anime waifs and fancy cubist work, this screams to me if not ai enabled, definitely still made off the backs of other people. and as a copyright agonist, for the most part im fine with that in a vacuum. but really, that this art was made with no history, no dialogue, it is ripped out of the context to be a picture, it makes it lesser as art to me. i can infer the cubism to be trickled down from picasso or braque but when this person does not exist in or serve community, he should not receive the benefits of community either.

that i dont know, will never know for sure will be my cross to bear, and is the intended effect of this sort of obfuscation, so his skill is evident. his work is still striking even if it took no labor at all, even though this sort of markmaking is trying to tell the viewer look, i have done labor. (if your enjoyment of art is tied to how much labor goes into it though, oof.)

theres nothing wrong with enjoying an ai or ripped off picture, from the consumers point of view. theres no being tricked if it made you happy because your enjoyment becomes meaning. but every image you enjoy that is ripped out of context is you losing your own ability to be part of community. your artistic roots will be cut off at a contextless heel. and you will lose the ability to understand why things are beautiful in the context of other people.

aditya (@adityajainart)

[himanshuthemediabuddy]

Unlocking the Future: Why a B.Tech in Computer Science Engineering with Specialization is the Smartest Career Move Today

Technology is evolving at an unprecedented pace. From artificial intelligence (AI) to blockchain, from data science to cybersecurity, the digital revolution is reshaping every aspect of modern life. For students stepping into higher education today, there is one clear path that aligns perfectly with this tech-driven future: a B.Tech in Computer Science Engineering (CSE) with Specialization.

If you're a student aspiring to build a meaningful and future-ready career, or a parent guiding your child’s academic journey, this guide will explain why specialized computer science programs are the stepping stones to success.

What is B.Tech in Computer Science Engineering with Specialization?

A Bachelor of Technology (B.Tech) in Computer Science Engineering provides students with a strong foundation in computing principles, programming languages, algorithms, and system design. What makes this degree even more impactful is the opportunity to choose a specialization—a focused domain that aligns with industry demand and personal interests.

Specializations help students go beyond general knowledge, diving deep into subjects that power today's most innovative technologies.

Common Specializations Include:

Artificial Intelligence and Machine Learning (AI/ML)

Data Science and Big Data Analytics

Cybersecurity

Blockchain Technology

Internet of Things (IoT)

Cloud Computing

Augmented Reality and Virtual Reality (AR/VR)

Robotics and Automation

Each of these fields is booming with career potential—and colleges across India and globally are offering specialized tracks within the traditional CSE curriculum to meet this demand.

Why Specialize? The Top Benefits

1. Industry-Relevant Skills

A specialized B.Tech ensures students are learning exactly what employers are looking for. For example, an AI/ML track teaches Python, TensorFlow, neural networks, and data modeling—skills that top tech companies require today.

2. Competitive Edge

In a crowded job market, a general degree might not be enough. A specialization helps your resume stand out, showcasing domain expertise that can fast-track you to better roles and higher salaries.

3. Better Career Pathways

Specializations often lead to defined job roles right after graduation. Instead of applying as a general software developer, you could target high-demand positions like:

Machine Learning Engineer

Data Analyst

Cybersecurity Consultant

Cloud Solutions Architect

Blockchain Developer

4. Higher Salary Packages

With specialized skills, companies are willing to pay a premium. Fields like data science, cybersecurity, and AI consistently rank among the highest-paying tech careers in India and abroad.

Course Structure: What to Expect

A typical B.Tech CSE with specialization program spans 4 years and is divided into 8 semesters. Here's a rough breakdown:

Years 1-2: Core Subjects

Programming Languages (C, Java, Python)

Data Structures and Algorithms

Computer Architecture

Operating Systems

Mathematics (Discrete Math, Linear Algebra)

Database Management Systems

Years 3-4: Specialization + Advanced Topics

AI/ML Algorithms (for AI specialization)

Cyber Threat Intelligence (for Cybersecurity)

Hadoop and Spark (for Big Data)

Smart Contracts and Ethereum (for Blockchain)

Cloud Architecture (for Cloud Computing)

Most programs also include:

Capstone projects

Internships

Research opportunities

Industry certifications (AWS, Google Cloud, etc.)

Career Opportunities and Job Roles

Depending on the chosen specialization, graduates can pursue careers in a wide range of industries:

Popular Roles:

AI/ML Engineer Design intelligent systems, work on natural language processing (NLP), and build recommendation engines.

Data Scientist Analyze massive datasets to uncover trends, build predictive models, and assist business decision-making.

Cybersecurity Analyst Protect systems from cyber threats and design secure networks and encryption systems.

Cloud Engineer Design scalable cloud solutions and manage deployment on platforms like AWS, Azure, and Google Cloud.

Blockchain Developer Build decentralized applications and smart contracts for fintech, supply chains, and more.

IoT Engineer Develop smart devices and connected solutions in healthcare, agriculture, and smart cities.

These roles are not only lucrative but also offer global opportunities, with demand growing in North America, Europe, Southeast Asia, and the Middle East.

Is a Specialized CSE Degree Right for You?

If you have an interest in coding, problem-solving, mathematics, or how technology can change the world, then yes—a specialized CSE program is an ideal choice.

But how do you choose the right specialization?

Here’s a quick guide: Interest AreaRecommended SpecializationLove AI, chatbots, visionAI & Machine LearningFascinated by statisticsData Science & AnalyticsPassionate about securityCybersecurityBlockchain and crypto-curiousBlockchain TechnologySmart gadgets and automationIoT or RoboticsScalable tech infrastructureCloud Computing

The Edunet Educare Edge

Choosing the right program and college can be overwhelming. That’s where Edunet Educare steps in.

With a mission to guide students toward future-ready careers, Edunet Educare provides:

Expert counseling for course and specialization selection

College admissions guidance

Career planning based on aptitude and industry trends

Information on scholarship opportunities

Support with internships and job placements

Whether you’re a student just finishing school or someone looking to pivot your career, Edunet Educare ensures you make informed, future-focused choices.

Final Thoughts: Tech is the Future—Be Ready for It

We are living in a world where AI writes poetry, cars drive themselves, and data predicts consumer behavior. The fourth industrial revolution is happening now, and it demands a workforce that is agile, innovative, and deeply skilled.

A B.Tech in Computer Science Engineering with Specialization isn’t just a degree—it’s an investment in a smarter, more empowered future.

If you want to thrive in tomorrow’s tech-driven world, there’s no better time to start than today.

Explore the complete guide and resources on the official Edunet Educare website, and take your first step toward a future-proof career.

[atcuality3]

Digital Innovation That Delivers Results - Atcuality

Atcuality helps forward-thinking companies innovate with precision and purpose. We combine technical expertise with business insight to craft tools that drive measurable impact. Our suite of services includes cloud platforms, mobile solutions, and a special focus on Telegram Bot Creation. This service enables companies to develop smart, responsive bots tailored for customer service, marketing automation, or internal operations. Whether you're launching a community-based app, need an e-commerce support assistant, or want to build a chatbot for crypto trading signals, we provide secure, scalable, and compliant bot solutions. Our process ensures every bot is tested for real-world usage, enhanced with analytics, and built to scale. With Atcuality, you don’t just adopt technology—you unlock its full potential to fuel your growth.

[nearlearn6]

Explore the basics of blockchain technology in a simple and visual way. From how it works to real-world uses, this infographic covers key concepts—and shows how Nearlearn can help you build a career in blockchain.

Once checkout the Nearlearn website :

https://nearlearn.com/courses/blockchain/blockchain-certification-training

[callofdutymobileindia]

Artificial Intelligence Course in London: Everything You Need to Know Before Enrolling

As artificial intelligence (AI) reshapes industries across the globe, London has emerged as a major hub for aspiring professionals seeking quality AI education. With a thriving tech ecosystem, access to world-class faculty, and numerous career opportunities, enrolling in an Artificial Intelligence course in London can be a game-changing decision for your future.

Whether you're a beginner hoping to break into the field or a professional looking to sharpen your machine learning skills, London offers a diverse range of programs designed to meet every learning need.

Why to Enroll Artificial Intelligence course in London?

London is not just the capital of the UK—it's also one of Europe’s most dynamic centers for innovation and technology. Here's why studying AI here is a smart move:

Global AI Ecosystem: London is home to cutting-edge startups, global tech companies, and AI research labs. This environment provides exposure to real-world applications and networking opportunities.

Industry Demand: With sectors like finance, healthcare, retail, and logistics adopting AI rapidly, demand for skilled professionals has surged. This means job opportunity are both abundant and diverse.

Access to Experts: Courses in London often feature instructors with industry and academic experience, providing insights that go beyond textbooks.

Hybrid Learning Opportunities: Many institutions now offer flexible options—online, offline, or hybrid—making it easier to balance education with other commitments.

What You’ll Learn in an AI Course?

A well-structured AI and ML course in London typically covers the following core areas:

Foundations of Artificial Intelligence

Machine Learning Algorithms

Deep Learning and Neural Networks

Natural Language Processing (NLP)

Computer Vision

Data Science and Big Data Integration

Ethics in AI

Capstone Projects with Real-World Datasets

Advanced programs may also include agentic AI systems, reinforcement learning, and hands-on training using tools like TensorFlow, PyTorch, and OpenAI frameworks.

Who Should Enroll in an AI Course?

An Artificial Intelligence course in London is ideal for:

Students: Graduates in computer science, engineering, mathematics, or related fields.

Working Professionals: Those in IT, data analytics, business intelligence, or automation.

Career Switchers: Professionals from non-technical backgrounds interested in transitioning to the AI space.

Entrepreneurs & Innovators: Looking to integrate AI into their products or startups.

No matter your background, London-based courses often include foundation modules to help you build the required technical base.

Career Opportunities After Completing Artificial Intelligence course in London

Artificial Intelligence (AI) is transforming industries worldwide, and London is at the forefront of this revolution. As a global technology hub, the city offers abundant opportunities for professionals with AI expertise. Completing an AI course in London can serve as a gateway to diverse, high-demand careers across multiple sectors.

1. Core AI and Machine Learning Roles

Graduates of AI programs are well-positioned for technical roles that involve building and optimizing intelligent systems. These include:

Machine Learning Engineer – Develop algorithms and predictive models used in real-time systems.

Data Scientist – Analyze large datasets to draw insights and create data-driven strategies.

AI Researcher – Conduct academic or industrial research in neural networks, reinforcement learning, and deep learning.

Computer Vision or NLP Engineer – Specialize in areas such as image recognition or language understanding.

These roles are prevalent in tech companies, research labs, and even government institutions.

2. AI in Industry-Specific Applications

AI is increasingly applied in various sectors, offering opportunities to integrate technical knowledge with domain-specific expertise:

Healthcare – Roles in diagnostics, drug discovery, and personalized medicine with institutions like NHS AI Lab or startups such as Babylon Health.

Finance – Fraud detection, credit scoring, and algorithmic trading with firms like HSBC, Barclays, and FinTech startups.

Retail and E-commerce – AI-driven recommendation engines, demand forecasting, and customer analytics.

Marketing and Advertising – Use of AI in customer segmentation, ad targeting, and behavior analysis.

London’s diverse economy ensures that AI professionals can find roles aligned with their interests and skills.

3. Product and Strategic Roles

Beyond purely technical positions, AI knowledge opens doors to strategic and managerial roles:

AI Product Manager – Bridge the gap between technical teams and business stakeholders.

AI Consultant – Advise companies on implementing AI solutions to drive efficiency and innovation.

Business Intelligence Analyst – Leverage AI tools to inform executive decision-making.

These roles often combine AI proficiency with communication and leadership skills.

4. Research and Academic Opportunities

For those inclined toward academia or policy, London is home to renowned research institutions such as Imperial College London, UCL, and the Alan Turing Institute. Opportunities include:

PhD Programs in AI

Research Assistant or Associate roles

Policy and Ethics Research in AI Governance

Final Thoughts

Choosing to enroll in anArtificial Intelligence course in London is more than just a learning decision—it’s a strategic career investment. With access to advanced technologies, real-world case studies, and an innovation-driven environment, London equips you with the skills to thrive in an AI-first world.

Whether you're launching your career, pivoting into a new domain, or scaling up your expertise, the right course can open doors to global opportunities. London remains one of the best places to gain not only theoretical knowledge but also practical experience that employers truly value.

As AI continues to revolutionize how the world works, there’s never been a better time—or place—to master it.

[imarticuslearning-course]

Welcome to Imarticus Learning! In this video, we dive into Logistic Regression, a foundational classification algorithm in machine learning that plays a vital role in both binary and multi-class predictions. As part of the best machine learning course offerings, this session explores what Logistic Regression is, how it differs from Linear Regression, and its critical applications in real-world decision-making. Whether you're a beginner or a data enthusiast, this video simplifies core concepts to help you effectively apply logistic regression models.

You’ll learn about the mathematical intuition behind Logistic Regression, key differences between Logistic and Linear Regression, and how the sigmoid function helps convert probabilities into predictions. We’ll also cover essential evaluation metrics such as Accuracy, Precision, Recall, F1-Score, and ROC-AUC. Timestamps are included for easy navigation through topics like the Logistic Regression equation and its various types.

Learning with Imarticus offers numerous benefits, including expert guidance from seasoned professionals, flexible and structured learning options, access to mock tests, expert mentorship, and comprehensive study materials—all geared towards driving your career success. The Postgraduate Program in Data Science and Analytics (PGA) by Imarticus is a 6-month course tailored for graduates and professionals with less than three years of experience. As part of the best machine learning course suite, it ensures 100% job assurance through 2,000+ hiring partners, 300+ learning hours, 25+ hands-on projects, and training in tools like Python, Power BI, and Tableau. With a highest salary of 22.5 LPA and average salary hikes of 52%, this course is a gateway to success in data science and analytics.

Explore additional learning with recommended books like An Introduction to Statistical Learning, Logistic Regression Using R, and Hands-On Machine Learning with Scikit-Learn & TensorFlow. For real-world context, we also suggest watching Moneyball, The Great Hack, and Coded Bias—films that illustrate the power and ethical implications of data-driven decisions and classification systems.

Transform your career from Data to AI with the best machine learning course at Imarticus Learning.

[krmangalam1011]

Study B.Tech. in Artificial Intelligence and Machine Learning in 2025

Are you extremely fascinated with the latest advancements in technology? Do you wish to pursue a spectacular career which elevates your career graph in one go? If Yes, then it’s time to pursue a B.Tech. in Artificial Intelligence and Machine Learning from K.R. Mangalam University which is one of the most sought-after programmes in today’s generation. 

Designed in collaboration with top experts from IBM, this course also offers constant mentorship to the students. Moving forward, in this blog we will talk about the major aspects related to this course which include its core highlights, eligibility criteria, fees and the overall programme structure. 

B.Tech. in Artificial Intelligence and Machine Learning Course Highlights 

A highly intellectual course which is curated in collaboration with leading professionals from IBM. Upon enrolling for this course, you will learn to develop advanced computer applications arising in the field of AI & ML. Moreover, students also get hands-on experience through internships, paid international visits, conferences and seminars. Eventually, all these aspects prepare the students for an impactful career in the data-driven industries. Here’s a quick snapshot of the course.  

Course Name 

B.Tech. CSE (AI & ML) with academic support of IBM & powered by Microsoft Certifications

Course Type: 

Undergraduate 

Duration: 

4 Years 

Study Mode:

Full-Time 

Programme Fee Per Year:

Rs 2,65,000/-  (as of 25th March 2025) 

Admission Process:

Written Test + Personal Interview 

Top Recruiters: 

Amazon, Flipkart, Google, OLA, KPMG, Cure Fit 

B.Tech. in Artificial Intelligence and Machine Learning Eligibility Criteria

To enrol for this course at KRMU, you must meet the necessary eligibility requirements asserted by the university. The general criteria are as follows: 

A candidate must have cleared the 10+2 examination with Physics and Mathematics as compulsory subjects.

For the remaining course, choose from Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship from a recognised board/university with a minimum 50% aggregate overall. 

B.Tech. in Machine Learning and Artificial Intelligence Subjects

At KRMU, we majorly focus on teaching the students about the basics of computational mathematics, and fundamental aspects of computer science along with modern developments taking place in AI and machine learning. In clear terms, the B.Tech. in AI and ML course is a highly informative programme which consists of 8 different semesters and is taught by expert professionals. Here’s a general overview of the artificial intelligence course syllabus for your reference. 

Linear Algebra and Ordinary Differential Equations

Object Oriented Programming using C++

Engineering Calculus

Clean Coding with Python

Engineering Drawing & Workshop Lab

Data Visualization using PowerBI

Discrete Mathematics

Data Structures

Java Programming

Probabilistic Modelling and Reasoning with Python Lab

Theory of Computation

Operating Systems

Natural Language Processing

Arithmetic and Reasoning Skills

Computer Organization & Architecture

Neural Networks and Deep Learning

Career Scope After B.Tech. in Artificial Intelligence & Machine Learning

The foremost benefit of pursuing a B.Tech. in Artificial Intelligence and Machine Learning course is that you have a plethora of career options available in different industries ranging from e-commerce, food, travel, automation etc. Top career options are: 

Machine Learning Engineer/Developer

AI Research Scientist

Data Scientist

Machine Learning Operations (MLOps) Engineer

AI/ML Software Developer

AI Product Manager

AI Ethics Consultant

Data Engineer

AI/ML Consultant

Research Analyst

Conclusion

B.Tech. in Artificial Intelligence and Machine Learning is a perfect programme for you if you’re keen on experimenting and developing unique computer applications. Pursue this course from K.R. Mangalam University and get access to highly sophisticated laboratories with the latest technologies. So what are you waiting for? Choose to enrol today and drive high towards the in-demand career opportunities. 

Frequently Asked Questions 

What is the average salary after B.Tech. in Artificial Intelligence and Machine Learning programme?

After completing this popular programme, students are expected to secure a whopping package ranging in between 6-10 LPA. 

What is the future scope of B.Tech. in AI & ML?

This programme holds an impactful future. Students are loaded with diversified career opportunities in multiple sectors. 

What can I pursue after B.Tech. in Artificial Intelligence?

You can pursue an M.Tech in AI & ML or an MBA after completing your graduation.