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Computer Science Courses

1130 Courses

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California Institute of Technology YouTube

Krea AI and Black Forest Labs Model Comparison with OpenAI and Ideogram

Explore KREA-1's free AI image generation capabilities through detailed comparisons with OpenAI and Ideogram models, testing text rendering and graphic design challenges.
provider YouTube
pricing Free Video
duration 23 minutes
sessions On-Demand
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California Institute of Technology YouTube

My Overpowered AI Research Stack - NotebookLM, Deep Research, Grok, Gemini, o3-Pro, OpenAI

Discover how to build an overpowered AI research stack using NotebookLM, Deep Research, Grok, Gemini, o3-Pro, and OpenAI tools for enhanced productivity and research capabilities.
provider YouTube
pricing Free Video
duration 18 minutes
sessions On-Demand
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California Institute of Technology YouTube

Overview on Data Foundations for Generative AI

Discover how to build robust data foundations for successful Generative AI implementations, addressing quality barriers and improving production conversion rates.
provider YouTube
pricing Free Video
duration 58 minutes
sessions On-Demand
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California Institute of Technology YouTube

How to Build Trustworthy AI

Discover strategies for building trustworthy AI through security, safety, and alignment. Explore MLSecOps, AI red teaming, and runtime security to create explainable systems users can trust.
provider YouTube
pricing Free Video
duration 24 minutes
sessions On-Demand
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California Institute of Technology YouTube

AI for Mathematical Discovery - Symbolic, Neural and Neuro-Symbolic Methods

Explore how AI combines symbolic and neural methods to generate mathematical lemmas for proof assistants, bridging automated theorem proving with human mathematical reasoning.
provider YouTube
pricing Free Video
duration 53 minutes
sessions On-Demand
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California Institute of Technology YouTube

Build AI Agents for E-commerce with ADK and Vector Search

Discover how to build intelligent e-commerce AI agents using Google's ADK and Vector Search for advanced product recommendations and multimodal search capabilities.
provider YouTube
pricing Free Video
duration 30 minutes
sessions On-Demand
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California Institute of Technology YouTube

Dinner for Two with Gemini - Takeaway or Restaurant?

Discover how to build two AI-powered apps using Gemini: one that generates recipes from takeaway images, another that finds restaurants matching your cravings from saved Maps data.
provider YouTube
pricing Free Video
duration 28 minutes
sessions On-Demand
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California Institute of Technology YouTube

Smart Skills for Smart Professionals - Upskill with GenAI

Discover how Generative AI reshapes work, master Prompt Engineering, RAG, and Azure AI tools to future-proof your career with practical business applications.
provider YouTube
pricing Free Video
duration 1 hour 10 minutes
sessions On-Demand
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California Institute of Technology YouTube

Building Gemini's Coding Capabilities - Release Notes

Discover how Google built Gemini's world-leading AI coding capabilities through expert insights on model development, vibe coding, large codebase strategies, and the future of programming.
provider YouTube
pricing Free Video
duration 1 hour
sessions On-Demand
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California Institute of Technology YouTube

Powering Change - The AIML Roadmap for a Smarter Tomorrow

Discover how AI and ML transform industries like healthcare, finance, and manufacturing while exploring implementation challenges, ethics, and building resilient intelligent systems.
provider YouTube
pricing Free Video
duration 57 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!