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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Simulating Counterfactual Training

Explore the concept of simulating counterfactual training in the context of safety-guaranteed LLMs with Roger Grosse from the University of Toronto.
provider YouTube
pricing Free Video
duration 1 hour 11 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Superintelligent Agents Pose Catastrophic Risks - Safety-Guaranteed LLMs

Explore the catastrophic risks of superintelligent AI agents with Yoshua Bengio, who proposes safer alternatives like "Scientist AI" designed to explain rather than act, potentially accelerating scientific progress while avoiding dangerous agency-driven…
provider YouTube
pricing Free Video
duration 1 hour 12 minutes
sessions On-Demand
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California Institute of Technology YouTube

Controlling Untrusted AIs With Monitors

Explore how to control untrusted AI systems through monitoring mechanisms, with insights from Anthropic's research on safety-guaranteed language models.
provider YouTube
pricing Free Video
duration 1 hour 1 minute
sessions On-Demand
course image
California Institute of Technology YouTube

Scalably Understanding AI with AI - Safety-Guaranteed LLMs

Explore Jacob Steinhardt's insights on using AI to understand AI at scale, focusing on safety-guaranteed LLMs and their implications for AI development.
provider YouTube
pricing Free Video
duration 59 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Adversarial Training for LLMs' Safety Robustness

Explore techniques for improving the safety robustness of Large Language Models through adversarial training methods with researcher Gauthier Gidel from IVADO-Mila.
provider YouTube
pricing Free Video
duration 1 hour 1 minute
sessions On-Demand
course image
California Institute of Technology YouTube

Antidistillation Sampling for Safety-Guaranteed LLMs

Explore the concept of Antidistillation Sampling in the context of Safety-Guaranteed LLMs with Zico Kolter from Carnegie Mellon University.
provider YouTube
pricing Free Video
duration 1 hour 5 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Out Of Distribution, Out Of Control? Understanding Safety Challenges In AI

Explore the safety challenges in AI, focusing on out-of-distribution issues and safety guarantees for large language models with Aditi Raghunathan.
provider YouTube
pricing Free Video
duration 59 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

The Path to Verifiable Autonomy for AI Agents

Explore the journey toward verifiable autonomy in AI agents with Zheng Leong Chua from Automata Network in this ETHTaipei 2025 presentation.
provider YouTube
pricing Free Video
duration 33 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Exploring AI's Role in Smart Contract Security - ETHTaipei 2025

Discover how artificial intelligence can enhance smart contract security through insights from OneSavie Lab researchers Alice and Daky Wang at ETHTaipei 2025.
provider YouTube
pricing Free Video
duration 29 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

AI Will Destroy My Job as a Creative - My Plan to Survive

Discover strategies to adapt and thrive as a creative professional in the face of AI disruption, with insights from recent research on synthetic continued pretraining.
provider YouTube
pricing Free Video
duration 32 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!