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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Neuromorphic Hardware – A System Perspective

Explore neuromorphic computing principles, systems like SpiNNaker2, and future developments in energy-efficient AI hardware with Johannes Partzsch from TU Dresden.
provider YouTube
pricing Free Video
duration 37 minutes
sessions On-Demand
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California Institute of Technology YouTube

How to Detect People in Danger Zones with AI

Learn how to enhance workplace safety with vision AI by tracking people and objects in danger zones, building red zone trackers, and integrating data systems for trend analysis.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand
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California Institute of Technology freeCodeCamp

Essential Machine Learning and AI Concepts Animated

Explore essential machine learning and AI concepts through animated explanations covering everything from basic algorithms to advanced neural networks in this comprehensive visual guide.
provider freeCodeCamp
pricing Free Video
duration 28 minutes
sessions On-Demand
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California Institute of Technology Pragmatic Institute

Generative AI For Business Leaders

Gain insights into generative AI fundamentals, applications, benefits, limitations, and ethical considerations for business objectives, designed for non-technical leaders.
provider Pragmatic Institute
pricing Paid Course
duration 7 hours
sessions On-Demand
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California Institute of Technology YouTube

Don't Be AfrAId

Explore the impact of AI on software development and learn how to adapt to this technological shift with Arkadiusz Migała's insightful presentation.
provider YouTube
pricing Free Video
duration 14 minutes
sessions On-Demand
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California Institute of Technology YouTube

The Future of Language Models: A Perspective on Evaluation

Explore evaluation methodologies for language models, examining current approaches and future directions for assessing AI capabilities and limitations.
provider YouTube
pricing Free Video
duration 1 hour 6 minutes
sessions On-Demand
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California Institute of Technology YouTube

On Cognitive Maps, LLMs, World Models, and Understanding

Explore cognitive maps, LLMs, world models, and understanding in this insightful talk by Dileep George from Google DeepMind on the future of language models.
provider YouTube
pricing Free Video
duration 1 hour 6 minutes
sessions On-Demand
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California Institute of Technology YouTube

DeepSeek-R1 Thoughtology: Thinking About LLM Reasoning

Explore DeepSeek-R1 Thoughtology and its approach to LLM reasoning with Siva Reddy from IVADO-Mila-McGill University in this insightful talk on the future of language models.
provider YouTube
pricing Free Video
duration 1 hour
sessions On-Demand
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California Institute of Technology YouTube

The Frontier between Retrieval-augmented and Long-context Language Models

Explore the evolving boundary between retrieval-augmented and long-context language models with Princeton researcher Danqi Chen in this technical talk from the Simons Institute.
provider YouTube
pricing Free Video
duration 1 hour
sessions On-Demand
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California Institute of Technology YouTube

What Can Theory of Cryptography Tell Us About AI Safety

Explore how cryptographic theory principles can be applied to enhance AI safety, with insights from Shafi Goldwasser on developing safety-guaranteed language models.
provider YouTube
pricing Free Video
duration 1 hour 2 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!