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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Self Models of Loving Grace

Explore the philosophical dimensions of AI as Joscha Bach examines consciousness, selfhood, and emotion in machines, questioning how minds work and whether artificial consciousness is possible.
provider YouTube
pricing Free Video
duration 1 hour
sessions On-Demand
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California Institute of Technology YouTube

A Developer Goes to the Movies

Explore the portrayal of software developers in cinema history with Simon Painter, examining accuracy, social trends, and how Hollywood depicts tech professionals across different eras and genres.
provider YouTube
pricing Free Video
duration 1 hour 4 minutes
sessions On-Demand
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California Institute of Technology Coursera

Generative AI for Program Managers

Discover how to leverage generative AI to enhance program management, from crafting effective prompts to improving decision-making, risk assessment, and stakeholder communication while addressing ethical considerations.
provider Coursera
pricing Paid Course
duration Not Specified
sessions On-Demand
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California Institute of Technology Vanderbilt University

Generative AI SQL Database Specialist with ChatGPT

Master the integration of Generative AI with SQL databases to revolutionize data design, querying, and visualization. Develop expertise in AI-powered database architecture, natural language SQL queries, and visualization techniques.
provider Coursera
pricing Paid Course
duration Not Specified
sessions On-Demand
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California Institute of Technology YouTube

Self-Driving Car - Does it Work?

Explore the reality of Tesla's Full Self-Driving technology through a practical test drive to Dallas, examining how it works, debunking misconceptions, and analyzing real-world performance limitations.
provider YouTube
pricing Free Video
duration 37 minutes
sessions On-Demand
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California Institute of Technology YouTube

Scaling Automation with Infra and AI Agents

Discover how Chainels.com uses n8n and AI agents to power their property management system at scale, with insights into enterprise automation and AI architecture.
provider YouTube
pricing Free Video
duration 21 minutes
sessions On-Demand
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California Institute of Technology YouTube

O3 Breaks Records, but AI Becomes Pay-to-Win

Explore the performance of o3 across 6 benchmarks, the evolution of AI towards a pay-to-win model, and insights on AI development through 2030, including technical aspects like V* architecture and resource allocation challenges.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
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California Institute of Technology YouTube

Risk Management in AI Models - Confidence Estimation in Machine Learning Classifiers

Explore the principles of confidence estimation in machine learning classifiers, focusing on geometric properties of training data to predict model certainty and manage risk in AI decision-making systems.
provider YouTube
pricing Free Video
duration 49 minutes
sessions On-Demand
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California Institute of Technology YouTube

Every Major AI Update This Week in One Video

Discover the latest AI developments in one comprehensive roundup, including updates from OpenAI, Microsoft, Perplexity, Grok, Adobe Firefly, and more, with insights on new features, tools, and industry news.
provider YouTube
pricing Free Video
duration 31 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Building Modern GUIs using Python with OpenCV Images - Lesson 7 - 2025

Explore how to integrate OpenCV images into modern Python GUIs, enhancing your ability to create interactive visual applications.
provider YouTube
pricing Free Video
duration 11 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!