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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

AI Governance: Mitigating Risks in the Enterprise

Discover the essential components of a comprehensive AI governance program for enterprises, from regulatory compliance to ethical considerations and ROI optimization, with insights from Fidelity Investments.
provider YouTube
pricing Free Video
duration 26 minutes
sessions On-Demand
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California Institute of Technology YouTube

Advanced Process Control for Manufacturing with AI Agents

Discover how Liveline Technologies uses AI agents to automate factory processes, enabling rapid deployment of real-time controls for complex situations with superior cost-effectiveness compared to legacy solutions.
provider YouTube
pricing Free Video
duration 27 minutes
sessions On-Demand
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California Institute of Technology YouTube

Top 9 AI Tools You Must Use in 2025 - Free and Powerful

Explore 9 powerful AI tools for 2025 that enhance productivity and creativity, from content writing and website building to video generation and research tools - all designed to supercharge your work and business growth.
provider YouTube
pricing Free Video
duration 21 minutes
sessions On-Demand
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California Institute of Technology YouTube

Gaining an Edge in AI with Neuromorphic Computing

Explore how neuromorphic computing revolutionizes AI by mimicking brain architecture, enhancing efficiency for edge processing, with insights on spiking models and industry applications.
provider YouTube
pricing Free Video
duration 31 minutes
sessions On-Demand
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California Institute of Technology YouTube

Can You Really Pair Program with AI? - Exploring Aider and Cohere

Explore AI pair programming tools Aider and Cohere in this hands-on evaluation, examining their capabilities, limitations, and practical applications for developers looking to integrate AI assistance into their coding workflow.
provider YouTube
pricing Free Video
duration 17 minutes
sessions On-Demand
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California Institute of Technology YouTube

Generative AI and Data Mesh: Transforming Observability in the Edge-to-Cloud Era

Explore how Generative AI and Data Mesh architecture revolutionize enterprise observability, enabling advanced anomaly detection, automated root-cause analysis, and domain-focused insights across edge-to-cloud systems.
provider YouTube
pricing Free Video
duration 42 minutes
sessions On-Demand
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California Institute of Technology YouTube

Designing Open AI Systems that are Trustworthy - From Models to Systems

Explore the design of trustworthy AI systems that balance autonomy with accountability, focusing on risk alignment, multi-agent orchestration, and governance frameworks for safe deployment in real-world environments.
provider YouTube
pricing Free Video
duration 40 minutes
sessions On-Demand
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California Institute of Technology YouTube

Mastering Prompt Engineering for Quality Engineers

Discover prompt engineering techniques for quality engineers to effectively test AI models and LLMs, ensuring robust, fair, and transparent AI applications through systematic testing approaches.
provider YouTube
pricing Free Video
duration 37 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Who Needs Drama When You Have RamaLama?

Discover RamaLama, a tool that simplifies AI model deployment through containerization, offering privacy-focused, GPU-optimized workflows with support for multiple runtimes and seamless integration with Podman and Kubernetes.
provider YouTube
pricing Free Video
duration 24 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

What Everyone Gets Wrong About AI and Learning

Explore how AI is transforming education with Derek Muller as he examines cognitive science principles, potential opportunities, and risks for learning in an AI-powered world, drawing from his expertise in physics education.
provider YouTube
pricing Free Video
duration 1 hour 15 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!