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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Running MCP Servers In Games - This Changes Everything in AI Gaming

Explore how MCP servers could revolutionize AI gaming with groundbreaking changes to gameplay and development.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
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California Institute of Technology YouTube

Foundation Models for Time Series Analysis and Semantic Search

Explore cutting-edge foundation models for time-series analysis, including specialized neural architectures, predictive capabilities, semantic search with Milvus, and building RAG and agentic systems for temporal data.
provider YouTube
pricing Free Video
duration 56 minutes
sessions On-Demand
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California Institute of Technology YouTube

Skills for the Age of AI

Explore essential skills for thriving in the AI era with Michelle "MishManners" Duke, covering work's importance, AI applications, prompt engineering, ethics, and crucial soft skills for human-AI collaboration.
provider YouTube
pricing Free Video
duration 45 minutes
sessions On-Demand
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California Institute of Technology YouTube

Multi-Agents Become Smarter: The AI Dream Team

Explore how multi-agent systems evolve through reinforcement learning, fine-tuning, and complex reasoning to create more intelligent AI collaborations.
provider YouTube
pricing Free Video
duration 36 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

A Framework for Objective-Driven Dynamical Stochastic Fields

Explore a framework for objective-driven dynamical stochastic fields in quantum AI, presented by Stanford researchers Zhang and Koyejo.
provider YouTube
pricing Free Video
duration 47 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Score-based Neural Ordinary Differential Equations and Normalizing Flow for Mean Field Control

Explore a novel approach to Mean Field Control using score-based neural ODEs and normalizing flows, with applications in generative models, probability flow matching, and Wasserstein proximal operators.
provider YouTube
pricing Free Video
duration 1 hour 7 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Copilot for Word - Enhancing Document Creation with Microsoft 365 AI Assistant

Discover how to leverage Microsoft 365 Copilot in Word to enhance productivity, draft and summarize documents, while understanding its limitations and the importance of verification.
provider YouTube
pricing Free Video
duration 43 minutes
sessions On-Demand
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California Institute of Technology YouTube

Video2Video Restyling with Wan VACE in ComfyUI

Discover how to perform video-to-video restyling using Wan VACE in ComfyUI, with step-by-step guidance on using reference images and installing necessary models for effective video transformation.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Mushroom-DJs, Strong AI and Climate Change - Connecting the Dots with Artistic Research

Explore how artistic research at ZKM | Hertzlab combines art with scientific inquiry, from music-making mushrooms to AI ethics and environmental impacts, revealing how a hacker mindset drives innovative knowledge production.
provider YouTube
pricing Free Video
duration 38 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Der Mythos der „gezielten Tötung" - Zur Verantwortung von KI-gestützten Zielsystemen am Beispiel Lavender

Delve into the critical analysis of AI-based targeting systems like Lavender used in military operations, examining ethical implications, responsibility shifts, and potential legal circumventions in modern warfare.
provider YouTube
pricing Free Video
duration 47 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!