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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Generative AI vs Agentic AI vs AI Agents

Explore the distinctions between generative AI, agentic AI, and AI agents, focusing on how agentic AI operates autonomously to solve complex problems in real-time.
provider YouTube
pricing Free Video
duration 18 minutes
sessions On-Demand
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California Institute of Technology YouTube

Building a Local CAG System with Qwen3, Ollama and LangChain for Private Document AI Chatbots

Learn to build a fully local Cache-Augmented Generation (CAG) chatbot using Qwen3, Ollama, LangChain, and Streamlit that processes your private documents without external APIs or complex retrieval systems.
provider YouTube
pricing Free Video
duration 30 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Let's Take Back the AI and Integrate It Properly into Our Desktops

Explore how the Linux community can reclaim AI technology and integrate it meaningfully into desktop environments, offering valuable alternatives to proprietary implementations.
provider YouTube
pricing Free Video
duration 23 minutes
sessions On-Demand
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California Institute of Technology YouTube

Experimenting with Foundation Models

Explore practical, budget-friendly ways to experiment with Foundation Models, LLMs, and AI with expert guidance from AWS Hero Faye Ellis.
provider YouTube
pricing Free Video
duration 53 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Theoretical and Empirical Aspects of Singular Learning Theory for AI Alignment

Explore theoretical and empirical aspects of Singular Learning Theory and its applications to AI alignment and safety-guaranteed language models.
provider YouTube
pricing Free Video
duration 1 hour 3 minutes
sessions On-Demand
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California Institute of Technology YouTube

Safeguarded AI Workflows

Explore the concept of safety-guaranteed LLMs and safeguarded AI workflows with David Dalrymple from MIT in this insightful talk.
provider YouTube
pricing Free Video
duration 56 minutes
sessions On-Demand
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California Institute of Technology YouTube

Measurements for Capabilities and Hazards

Explore comprehensive measurement frameworks for AI capabilities and potential hazards, focusing on safety evaluation methodologies for large language models.
provider YouTube
pricing Free Video
duration 59 minutes
sessions On-Demand
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California Institute of Technology YouTube

Probabilistic Safety Guarantees Using Model Internals

Explore probabilistic safety guarantees for language models through analysis of model internals with Jacob Hilton from Alignment Research Center.
provider YouTube
pricing Free Video
duration 46 minutes
sessions On-Demand
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California Institute of Technology YouTube

Assessing the Risk of Advanced Reinforcement Learning Agents Causing Human Extinction

Explore the potential risks of advanced reinforcement learning agents leading to human extinction, with insights from Michael Cohen of UC Berkeley.
provider YouTube
pricing Free Video
duration 58 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

How to Successfully Scale GenAI in Big Organizations

Discover how Deloitte scales GenAI from proof of concepts to impactful business solutions, addressing blind spots and showcasing live demos of successful implementations for large organizations.
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!