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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Kubernetes and AI to Protect Our Forests: A Cloud Native Infrastructure for Wildfire Prevention

Explore how Kubernetes and cloud-native technologies power AI-driven wildfire prevention systems, focusing on data pipelines, GPU acceleration, and storage solutions for processing satellite imagery and environmental data.
provider YouTube
pricing Free Video
duration 32 minutes
sessions On-Demand
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California Institute of Technology YouTube

Kubeflow Ecosystem: What's Next for Cloud Native AI/ML and LLMOps

Explore the evolution of Kubeflow as a leading ML platform on Kubernetes, focusing on its adaptation to support LLMOps, challenges in GenAI deployment, and the roadmap for next-generation ML infrastructure.
provider YouTube
pricing Free Video
duration 32 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

The Explorer's Guide to Cloud Native GenAI Platform Engineering

Discover a practical roadmap for building generative AI infrastructure on Kubernetes, from minimal viable setups to advanced features like LLM gateways, vector databases, load balancing, and performance optimization techniques.
provider YouTube
pricing Free Video
duration 31 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Asimov's Zeroth Law of Robotics: Observability for AI

Explore the challenges of AI observability, from monitoring model drift to managing costs, with practical demos using OpenTelemetry, Prometheus, and OpenLit to ensure AI systems remain transparent and ethical.
provider YouTube
pricing Free Video
duration 32 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Superpowers for Humans of Kubernetes: How K8sGPT Is Transforming Enterprise Ops

Discover how K8sGPT, a CNCF project, uses AI to simplify Kubernetes operations, enabling teams to diagnose issues faster, scale efficiently, and focus on problem-solving rather than routine maintenance tasks.
provider YouTube
pricing Free Video
duration 28 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Leveraging Internal Knowledge: Building AiKA at Spotify

Discover how Spotify built AiKA, a RAG-based internal AI knowledge assistance platform that empowers developers with instant access to organizational knowledge, featuring flexible APIs for custom knowledge ingestion.
provider YouTube
pricing Free Video
duration 26 minutes
sessions On-Demand
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California Institute of Technology YouTube

OpenAI GPT-4.1 First Tests and Impression - A Model For Developers?

Explore OpenAI's GPT-4.1 through first-hand tests and impressions, examining its potential applications and benefits for developers.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
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California Institute of Technology YouTube

Fundamentals of Computer Vision - Part 1

Explore the essential principles and concepts of computer vision in this introductory segment of a broader computer vision series.
provider YouTube
pricing Free Video
duration 37 minutes
sessions On-Demand
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California Institute of Technology YouTube

Pretrained Models for Image Classification and Object Detection - Part 3 of Computer Vision

Explore pretrained models for image classification and object detection in this third part of the Computer Vision series.
provider YouTube
pricing Free Video
duration 20 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

AI Becoming the Human Edge - How to Build Your AI Strategy

Discover how to build an effective AI strategy with Johann Strauss as he explores GenAI as a competitive necessity, data importance, and the value of sovereign AI platforms for customers.
provider YouTube
pricing Free Video
duration 12 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!