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Computer Science Courses

825 Courses

California Institute of Technology YouTube

Claude 4 is Kinda Insane, but Has One Big Problem

Explore the impressive capabilities of Claude 4 AI while uncovering its significant limitation in this critical analysis.
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sessions On-Demand
California Institute of Technology YouTube

GPU-powered AI on VMs, Kubernetes and Bare Metal with Cozystack

Explore GPU-powered AI deployment on VMs, Kubernetes, and Bare Metal using Cozystack, a comprehensive solution for cloud native computing environments.
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sessions On-Demand
California Institute of Technology YouTube

Network Personalization: AWS Generative AI on Intel, from Cloud to Edge

Discover how AWS and Intel collaborate to deploy generative AI for network personalization, enabling telecom providers to optimize operations from cloud to edge with hardware acceleration for transformed service delivery.
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sessions On-Demand
California Institute of Technology YouTube

Multiagent CoPilot in Industrial AI Applications

Explore the Multiagent CoPilot approach for industrial AI, combining knowledge graphs, rule-based systems, and neurosymbolic AI to create explainable solutions for Industry 4.0 challenges with practical development insights.
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sessions On-Demand
California Institute of Technology YouTube

Physics 4C - Problem Solving with ChatGPT - Sets 12 and 13 - Wave Mechanics and Atomic Physics

Enhance your knowledge of wave mechanics and atomic physics through problem-solving techniques using ChatGPT in this PHYS 4C class recording.
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sessions On-Demand
California Institute of Technology Coursera

IBM RAG and Agentic AI

Master advanced generative AI skills including RAG pipelines, multimodal AI integration, and autonomous agent systems using tools like LangChain, LangGraph, CrewAI, and BeeAI to create sophisticated AI applications.
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sessions On-Demand
California Institute of Technology Coursera

Generative AI for Java and Spring Developers

Gain insights into building AI-powered applications with Java and Spring, from neural networks to RESTful APIs, while mastering prompt engineering and addressing ethical concerns in AI development.
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sessions On-Demand
California Institute of Technology YouTube

Why Everyone Is Freaking Out About Veo 3, Claude 4 and OpenAI's iPhone Moment

Discover the latest AI developments including Google's Veo 3, Claude 4, and rumors about OpenAI's hardware device, plus updates from Microsoft, GitHub, Anthropic, and other major tech companies.
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sessions On-Demand
California Institute of Technology YouTube

30 AI Buzzwords Explained For Entrepreneurs

Discover essential AI terminology for entrepreneurs with clear explanations of 30 key concepts from LLMs and prompting to vector databases and reinforcement learning, without technical jargon.
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sessions On-Demand
California Institute of Technology Coursera

Data Frameworks for Generative AI

Explore the essential data frameworks powering generative AI systems, from LLMs to RAG and agentic AI. Master strategies for structured data management, governance principles, and taxonomy design to build reliable, ethical AI solutions.
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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!