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Computer Science Courses

953 Courses

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California Institute of Technology Pluralsight

Building AI Applications with Semantic Kernel and C#

Discover how to leverage Semantic Kernel in .NET applications, create plugins to extend AI model capabilities, and build powerful AI applications using C#.
provider Pluralsight
pricing Free Trial Available
duration 3 hours 20 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

AIOps: CI/CD for AI Systems

Master CI/CD pipelines for ML, AI, and LLMs, learning to deploy models to cloud environments and implement automated testing at all stages of the development process.
provider Pluralsight
pricing Free Trial Available
duration 28 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

Prompt Engineering for Claude

Discover powerful prompt engineering techniques for Claude Sonnet, from mastering the workbench interface to constructing effective contexts, instructions, and examples that guide responses to meet your specific needs.
provider Pluralsight
pricing Free Trial Available
duration 19 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

ChatGPT Pro: OpenAI Operator

Discover how to automate repetitive web tasks using ChatGPT Operator's virtual browser, custom workflows, and secure management features to boost productivity.
provider Pluralsight
pricing Free Trial Available
duration 8 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

Enhancing Traditional ML with Generative AI

Discover how Generative AI complements traditional machine learning, when to use each technology, and how they can work together to accelerate AI development and implementation.
provider Pluralsight
pricing Free Trial Available
duration 27 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

Generative AI for Improving Feedback

Discover how to enhance your feedback process with AI tools while maintaining authenticity, learning practical approaches for performance reviews, personalization techniques, and impact measurement.
provider Pluralsight
pricing Free Trial Available
duration 32 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

Getting Started with Artificial Intelligence for Business

Discover how to harness generative AI to produce professional deliverables faster, automate repetitive tasks, extract data insights, and apply responsible AI practices to streamline your business workflows.
provider Pluralsight
pricing Free Trial Available
duration 51 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

Explore DevOps AI Tools

Discover how to leverage AI for DevOps automation, from scaling web apps to validating performance and analyzing logs for suspicious behavior.
provider Pluralsight
pricing Free Trial Available
duration 25 minutes
sessions On-Demand
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California Institute of Technology YouTube

How to Use MCP Servers with Claude Desktop - Real-Time AI Integration

Learn how to connect and use MCP servers with Claude Desktop for real-time AI integration through this step-by-step guide covering key terms, reliable responses, and data analysis techniques.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand
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California Institute of Technology YouTube

Balancing Compute Memory and Networking for AI - 2025 OCP EMEA Keynote

Discover how Broadcom balances compute memory and networking for AI in this keynote by Ram Velaga, SVP & GM of Core Switching Group.
provider YouTube
pricing Free Video
duration 13 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!