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Computer Science Courses

1149 Courses

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California Institute of Technology YouTube

Let's Build an AI Research Agent - Python Development with CrewAI

Build an AI research agent using Python and CrewAI to automatically process ArXiv papers, generate summaries, and stay updated with the latest AI research developments.
provider YouTube
pricing Free Video
duration 20 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Cognitive AI Tools - Eliciting Reasoning in Language Models and Avoiding Obfuscation with Prover-Estimator Debate

Explore advanced cognitive AI tools from IBM and Google for multi-agent reasoning systems and functional AI complexities in this 43-minute deep dive.
provider YouTube
pricing Free Video
duration 43 minutes
sessions On-Demand
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California Institute of Technology YouTube

Open-Set Bias Detection in Text-to-Image Generative Models

Explore open-set bias detection methods in text-to-image AI models to identify and mitigate unfair representation patterns in generated visual content.
provider YouTube
pricing Free Video
duration 18 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Private Attribute Inference from Images with Vision-Language Models

Explore how vision-language models can infer private attributes from images, examining privacy risks and implications for personal data protection.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

SAFREE - Training-Free and Adaptive Guard for Safe Text-to-Image and Video Generation

Discover SAFREE, a training-free adaptive guard system for ensuring safe text-to-image and video generation without requiring additional model training.
provider YouTube
pricing Free Video
duration 26 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Safe-CLIP - Removing NSFW Concepts from Vision-and-Language Models

Discover how to remove NSFW concepts from vision-and-language models like CLIP, ensuring safer AI applications through innovative filtering techniques and safety mechanisms.
provider YouTube
pricing Free Video
duration 23 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Google Veo 3 vs MiniMax Hailuo 02 - 5 Comparison Tests

Discover which AI video generator performs better through 5 head-to-head comparison tests between Google Veo 3 and MiniMax Hailuo 02.
provider YouTube
pricing Free Video
duration 12 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Claude Code + Context7 MCP Server Is a Game Changer for AI Coding

Discover how Claude Code + Context7 MCP Server revolutionizes AI coding workflows and transforms your development process in just 13 minutes.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Action-Minimization Meets Generative Modeling - Efficient Transition Path Sampling

Explore how pre-trained generative models enable zero-shot transition path sampling in molecular systems using the Onsager-Machlup action functional for drug discovery.
provider YouTube
pricing Free Video
duration 1 hour 5 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Anthropic's Secret - How We Build Multi-Agent AI

Unlock Anthropic's multi-agent AI system secrets and optimize their GitHub instructions for enhanced performance in research applications.
provider YouTube
pricing Free Video
duration 33 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!