Computer Science Courses

1139 Courses

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Elevating Front End Development with GenAI

Elevating Front End Development with GenAI Delve into how Generative Artificial Intelligence (GenAI) is transforming front-end development in this comprehensive course. Through discussions, video demos, and hands-on activities, discover how GenAI can boost productivity in UI/UX design, code generation, testing, and documentation. This course.
provider Coursera
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Pilot Lecture: Do Computers Understand English?

Pilot Lecture: Do Computers Understand English? Explore the fascinating world of artificial intelligence and language processing. This lecture delves into the capabilities of computers, shedding light on how they correct our spelling, finish our sentences, and separate spam from essential emails, all without truly understanding language. Join u.
provider The Great Courses Plus
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Cloud Computing Concepts: Part 2

Delve deeper into the world of cloud computing with "Cloud Computing Concepts: Part 2", offered through Coursera by the esteemed ESSEC Business School. This advanced course is designed for individuals with a grounding in cloud computing, building on the foundational knowledge provided in the Cloud Computing Concepts, Part 1 course. It explores the.
provider Coursera
sessions On-Demand
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Probabilistic Graphical Models 1: Representation

Discover the foundational principles of Probabilistic Graphical Models (PGMs) with "Probabilistic Graphical Models 1: Representation," offered by Stanford University through Coursera. This course provides an in-depth look at the rich framework of PGMs, a critical intersection of statistics and computer science, which leverages probability theory, g.
provider Coursera
sessions On-Demand
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Full stack web development and AI with Python (Django)

Full Stack Web Development and AI with Python (Django) | Udemy
provider Udemy
sessions On-Demand
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Python Libraries for AI

Python Libraries for AI University: Treehouse Provider: Treehouse This course teaches learners how to utilize Python libraries for Artificial Intelligence (AI) applications. By the end of the course, students will be able to implement AI algorithms and models using various Python libraries. The course covers topics such as HTML, CSS, PHP, Java.
provider Treehouse
sessions On-Demand
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Cyber Defender's Journey: Virus Detection and Elimination

Cyber Defender's Journey: Virus Detection and Elimination Welcome to Cyber Defender's Journey: Virus Detection and Elimination, a hands-on course designed to transform you into a hero in the battle against malware. This course is perfect for those seeking to enhance their skills in the fields of computer science and cybersecurity. Throughout th.
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Full Stack Web Developer with AI & ML Integration|Hindi|Urdu

Full Stack Web Developer with AI & ML Integration | Hindi | Urdu Enhance your skills with our comprehensive Full Stack Web Development Course, integrating Machine Learning and Artificial Intelligence using Python and Django. This course is designed for Hindi and Urdu speakers and is offered by Udemy, covering essential areas such as: Artif.
provider Udemy
sessions On-Demand
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Sıfırdan Yazılım Mühendisi Olma Kursu

Sıfırdan Yazılım Mühendisi Olma Kursu Provider: Udemy University: Learn programming from scratch with the "Sıfırdan Yazılım Mühendisi Olma Kursu". This comprehensive course covers essential programming languages and concepts including Python, C, C++, and C#, as well as artificial intelligence. Tailored for aspiring software engineers, this cour.
provider Udemy
sessions On-Demand
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10 projects in10 Day HTML5, CSS3, JavaScript in 2022

10 Projects in 10 Days: HTML5, CSS3, and JavaScript in 2022 Embark on a 10-day journey to master HTML5, CSS3, and JavaScript with our comprehensive Udemy course. Suitable for all aspiring web developers, this course covers essential topics like arrow functions, callback functions, and both simple and advanced functions. You'll also gain ha.
provider Udemy
sessions On-Demand

What kind of career can you pursue with a Computer Science degree?

Computer Science, or CS, is the science of the methods and processes of collecting, storing, processing, transmitting, analysing and evaluating information using computer technology to enable its application to decision-making.

Introduction to Computer Science AI

There are similar fields, such as data science or software engineering. Some of them can be considered part of Computer Science, but there is still a difference in terms: Computer Science is a broader concept. They study computer technology and information representation as a whole, rather than separate areas such as development. To understand Computer Science in depth, you need a good mathematical apparatus. Unlike many IT applications, this field is strongly related to maths. Computer Science can be studied in higher education institutions in technical specialities dedicated to information technology. But you can also master them on your own with computer science artificial intelligence courses.

Learning Outcomes and Skills

Computer Science is very broad, so we cannot give a complete list of the fields it includes. Let us give examples of theoretical and practical disciplines related to it at computer science ai courses.

Mathematics

Mathematical analysis, linear algebra and other disciplines are also important, but the discipline with the greatest connection to computer science is discrete mathematics. It studies "discontinuous", finite, that is, discrete structures. There are a huge number of algorithms based on this maths, which are used in various branches of IT. Discrete mathematics includes graph theory, finite automata, combinatorics and many other areas.

Theoretical Computer Science

This is the fundamental science that deals with information: how it is represented, stored, and transmitted. Theoretical computer science works with abstract concepts and theories. The term "fundamental" means that this science does not involve creating something in practice: it may describe a new approach to storing information, but not realise a machine that stores it that way. To theoretical computer science we can refer information theory and coding theory - the latter is devoted to the transformation of information into codes. The study of algorithms and the structure of programming languages also belongs to this area.

Programming languages

Computer science is not the same as programming, although the spheres are related. CS studies not so much the peculiarities of languages and the ability to apply them, but their internal structure in general. It is how programming languages are arranged, what their structure is, how they are implemented and what they are based on. Designing programming languages, their classification, analyses belong to computer science.

Career Opportunities and Enrollment Details

If you have studied at an artificial intelligence course for computer science, you will have learnt many technical and non-technical skills that are highly valued by employers, from leadership to programming. The increasing use of computer science means you have a wide range of choices in a wide range of highly specialised fields. With computer technology playing an ever-increasing role in all aspects of modern life, you are likely to find your computing skills in demand in many different industries. These include: financial organisations, management consulting firms, software development firms, communications companies, data warehouses, multinational companies (IT related, financial services and others), government agencies, universities and hospitals. However, it is not surprising that most graduates of the computer science with ai course hold positions in the computer industry!