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Computer Science Courses

953 Courses

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California Institute of Technology Skillshare

ChatGPT for Content Creation: Build your own AI Automation with CustomGPT (No Coding Needed)

Master AI-powered content creation by building a custom ChatGPT model tailored to your workflow, automating and enhancing your creative process without coding skills.
provider Skillshare
pricing Free Trial Available
duration 29 minutes
sessions On-Demand
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California Institute of Technology Coursera

Introduction to OpenAI

Dive into OpenAI's ecosystem through hands-on projects, mastering text generation, vision capabilities, and advanced features while learning ethical AI implementation and practical applications.
provider Coursera
pricing Free Online Course (Audit)
duration 8 hours 47 minutes
sessions On-Demand
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California Institute of Technology Northeastern University

Generative AI: Foundations and Concepts

Explore the mathematical foundations of generative AI, from neural networks to advanced deep learning models, with practical implementation techniques and applications in engineering.
provider Coursera
pricing Free Online Course (Audit)
duration 21 hours 36 minutes
sessions On-Demand
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California Institute of Technology YouTube

LLM Skills and Meta-Cognition: Scaffolding for New Forms of Learning?

Explore how LLM skills and meta-cognition can serve as scaffolding for innovative learning approaches with Princeton's Sanjeev Arora.
provider YouTube
pricing Free Video
duration 1 hour 3 minutes
sessions On-Demand
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California Institute of Technology YouTube

Inference Scaling: A New Frontier for AI Capability

Explore inference compute as a new frontier for scaling LLMs, examining how coverage scales with sample numbers and how frameworks like Archon can optimize LLM systems without automated verifiers.
provider YouTube
pricing Free Video
duration 1 hour 8 minutes
sessions On-Demand
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California Institute of Technology YouTube

15 Bad Takes from AI Safety Doomers

Explore 15 flawed arguments from AI safety doomers in this critical analysis of common misconceptions about artificial intelligence risks.
provider YouTube
pricing Free Video
duration 24 minutes
sessions On-Demand
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California Institute of Technology Udemy

AI Agents For All! Build No-Code AI Agents & Master AI 2025

Master AI Quickly—Build Practical No-Code AI Agents Using Langflow and Automate Business Tasks With AI & Without Coding!
provider Udemy
pricing Paid Course
duration 4 hours 14 minutes
sessions On-Demand
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California Institute of Technology Udemy

CEO Playbook: Generative AI

Master Generative AI: A CEO’s Blueprint for Transforming Business
provider Udemy
pricing Paid Course
duration 4 hours 59 minutes
sessions On-Demand
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California Institute of Technology Udemy

Mastering AI Agents Bootcamp: Build Smart Chatbots & Tools

Build AI agents, automation bots, chat assistants, task managers, and smart workflows using local AI models—no APIs req
provider Udemy
pricing Paid Course
duration 2 hours 26 minutes
sessions On-Demand
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California Institute of Technology Udemy

Generative AI for Sustainability

Empower Change: Leverage Generative AI for Environmental and Social Impact
provider Udemy
pricing Paid Course
duration 2 hours 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!