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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

From Idea to Publish - Building a Custom GPT to Power Your Content Pipeline

Discover how to build a custom GPT to streamline your content creation process, from initial idea generation to final publication.
provider YouTube
pricing Free Video
duration 50 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Testing Google Gemini 2.5 Pro for Secure Code Generation

Discover whether Google Gemini 2.5 Pro can generate secure code for a note-taking app as it's put to the test against security vulnerabilities in this hands-on evaluation of AI's coding capabilities.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

A Hippocratic Oath for Your AI - Lecture 9

Explore the concept of a Hippocratic Oath for AI systems with Doug Blank, Head of Research at Comet ML, in this MIT Deep Learning lecture focused on ethical considerations in artificial intelligence.
provider YouTube
pricing Free Video
duration 51 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Building Modern GUIs using Python with OpenCV Webcam - 2025

Explore how to integrate OpenCV webcam functionality into modern Python GUIs, enhancing your application development skills for 2025.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

5 Types of AI Agents: Autonomous Functions and Real-World Applications

Explore the 5 types of AI agents—from simple reflex to learning models—and understand their applications in robotics, decision-making, and automation. Discover how these agents function in real-world scenarios like drone deliveries.
provider YouTube
pricing Free Video
duration 10 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

What is AI Data Management? Discover, Clean, and Secure Data with AI

Discover how AI Data Management solves challenges with scattered data through smart classification, natural language queries, and anomaly detection to unlock insights and streamline operations.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Blind Augmentation: Calibration-free Camera Distortion Model Estimation for Real-time Mixed-reality Consistency

Discover a method for estimating camera distortion parameters instantly, enabling real-time simulation for consistent mixed-reality augmentation without calibration.
provider YouTube
pricing Free Video
duration 10 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Trust in Virtual Agents: Exploring the Role of Stylization and Voice

Explore how stylization and voice characteristics affect trust in virtual agents, with findings showing stylized agents build trust similarly to realistic ones, while age and audio-visual matching impact user perceptions.
provider YouTube
pricing Free Video
duration 10 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

X's Day: Personality-Driven Virtual Human Behavior Generation

Explore a novel framework for generating personality-driven behaviors for virtual humans in 3D environments, using hierarchical structures and large language models to create responsive, contextually appropriate daily activities.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Unified Approach to Mesh Saliency: Evaluating Textured and Non-Textured Meshes Through VR and Multifunctional Prediction

Explore a unified approach to mesh saliency that evaluates both textured and non-textured 3D models, integrating geometric and texture features to enhance AI adaptability and visual attention prediction.
provider YouTube
pricing Free Video
duration 10 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!