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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Why Learn Photoshop When ChatGPT Does Everything?

Explore why mastering Photoshop and design skills remains essential despite AI advancements, focusing on the human qualities of precision, flexibility, and creative vision that ChatGPT cannot replicate.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
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California Institute of Technology YouTube

Teaching Audio Developers How to Build AI-Enhanced Audio Plugins

Discover a workflow for developing AI-enhanced audio plugins using C++, JUCE, CMake, PyTorch, and RTNeural, designed for educators and developers interested in integrating AI into real-time audio applications.
provider YouTube
pricing Free Video
duration 24 minutes
sessions On-Demand
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California Institute of Technology YouTube

Quantum and AI - Securing the Future

Explore the intersection of quantum computing and AI in cybersecurity with the CSA Triangle Chapter's virtual meetup on securing future technologies.
provider YouTube
pricing Free Video
duration 1 hour
sessions On-Demand
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California Institute of Technology YouTube

Transforming Embedded Systems with Ubuntu

Discover how Canonical's secure, scalable solutions are reshaping embedded and edge computing across manufacturing, robotics, AI, and IoT in this insightful keynote.
provider YouTube
pricing Free Video
duration 17 minutes
sessions On-Demand
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California Institute of Technology edX

AI for Workplace Productivity

AI is increasingly used to streamline workflows and optimize efficiency. This course highlights practical AI tools that can support better decision-making and automate repetitive tasks.
provider edX
pricing Free Online Course (Audit)
duration 1 week, 2-3 hours a week
sessions On-Demand
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California Institute of Technology edX

Copilot Foundations for Productivity

Learn the fundamentals of Microsoft Copilot to boost productivity. Explore its integration across apps, automate tasks, and gain essential AI skills to enhance your efficiency and advance your career in today’s tech-driven workplace.
provider edX
pricing Free Online Course (Audit)
duration 1 week, 3-4 hours a week
sessions On-Demand
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California Institute of Technology YouTube

Expanding the Quality and Efficiency Frontier of AI

Delve into the research expanding the Pareto frontier between AI capabilities and efficiency constraints, focusing on language model architectures that balance quality and throughput efficiency.
provider YouTube
pricing Free Video
duration 1 hour 3 minutes
sessions On-Demand
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California Institute of Technology YouTube

How to Start Learning AI Engineering Effectively as a Software Developer

Discover effective learning paths for AI engineering as a software developer, with recommended tools, projects, and resources to build your skills without analysis paralysis.
provider YouTube
pricing Free Video
duration 12 minutes
sessions On-Demand
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California Institute of Technology YouTube

Machine-Precision Neural Networks for Multiscale Dynamics

Discover how multi-stage neural networks can achieve machine precision for scientific problems, overcoming traditional accuracy limitations and addressing spectral bias in multiscale dynamics and fluid dynamics.
provider YouTube
pricing Free Video
duration 49 minutes
sessions On-Demand
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California Institute of Technology YouTube

AI 101 for Networking and Edge

Gain insights into AI terminology for networking, understanding how these technologies apply to telecommunications with a real-world Telco AI project example.
provider YouTube
pricing Free Video
duration 16 minutes
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!