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Computer Science Courses

877 Courses

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California Institute of Technology YouTube

The Future of Guardrails - Risk Management Frameworks for Generative AI Applications

Explore comprehensive risk management frameworks for generative AI applications, covering reliability assessment approaches for RAG-augmented chatbots and autonomous agents to minimize failure modes in real-world deployments.
provider YouTube
pricing Free Video
duration 31 minutes
sessions On-Demand
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California Institute of Technology YouTube

How to Solve Error Cascades in Agents - Eval Agents

Explore how errors compound in multi-turn AI systems and learn to use "eval agents" for trajectory evaluation to improve agent performance through real-world failure examples and practical assessment techniques.
provider YouTube
pricing Free Video
duration 39 minutes
sessions On-Demand
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California Institute of Technology YouTube

Building Reliable Agentic AI Systems

Explore how to build reliable agentic AI systems from stochastic components, drawing inspiration from robotics, cybernetics, and biology to develop intuitions for non-deterministic decision making systems.
provider YouTube
pricing Free Video
duration 27 minutes
sessions On-Demand
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California Institute of Technology YouTube

Revolutionize AI Engineering with AutoGen

Discover Microsoft's AutoGen framework for building AI agent systems that transform complex workflows, accelerate timelines, boost accuracy, and reduce costs through automation.
provider YouTube
pricing Free Video
duration 32 minutes
sessions On-Demand
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California Institute of Technology YouTube

Building an LLM-Powered Analytics Slack Bot at Twitch

Discover how to build an LLM-powered analytics bot for Slack that enhances data operations through SQL query generation, chat summarization, and account lookups using AWS services at Twitch.
provider YouTube
pricing Free Video
duration 33 minutes
sessions On-Demand
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California Institute of Technology YouTube

AGI is Already Here - Redefining Intelligence Through Compound AI Systems

Explore how compound AI systems that combine LLMs with data and tools create intelligence rivaling human capabilities, offering insights for building AI workflows and general-purpose agents that outperform humans.
provider YouTube
pricing Free Video
duration 41 minutes
sessions On-Demand
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California Institute of Technology Lund University

Transforming higher education with Generative AI

Explore the impact of Generative AI in higher education, from practical applications to ethical implications, gaining skills to effectively implement and critically assess GenAI in educational contexts.
provider Coursera
pricing Free Online Course (Audit)
duration 15 hours 17 minutes
sessions On-Demand
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California Institute of Technology Coursera

Ethics of Generative AI

Master the foundations of ethical Generative AI, from core principles and privacy regulations to transparency techniques and societal impacts across industries like healthcare, finance, and hiring.
provider Coursera
pricing Free Online Course (Audit)
duration 5 hours 46 minutes
sessions On-Demand
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California Institute of Technology Coursera

Bringing Ideas to Life Using AI

Discover how to transform ideas into practical AI solutions using generative applications, from prototyping to scaling, with emphasis on responsible implementation regardless of technical background.
provider Coursera
pricing Free Online Course (Audit)
duration 5 hours 36 minutes
sessions On-Demand
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California Institute of Technology Coursera

Advanced GenAI Tools Course

Explore top GenAI tools across business functions—from Zapier workflows and AI video creation to mastering Gemini, Claude, and Sora for content, automation, and innovation.
provider Coursera
pricing Free Online Course (Audit)
duration 3 hours 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!