Computer Science Courses

953 Courses

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Nunchaku Windows安装使用教程

掌握Nunchaku在Windows系统上的安装和使用方法,包括配套文字教程和ComfyUI插件的设置步骤。
provider YouTube
pricing Free Video
duration 10 minutes
sessions On-Demand
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Optimizing Generative AI Systems with AWS and Snorkel

Discover how to optimize Generative AI systems by combining Snorkel Flow with AWS Bedrock and SageMaker, focusing on RAG workflow improvements, data labeling techniques, and enterprise deployment strategies.
provider YouTube
pricing Free Video
duration 1 hour 9 minutes
sessions On-Demand
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Trust and Distrust in ML: Privacy, Verification and Robustness - Part 2

Delve into privacy, verification, and robustness challenges in machine learning with Shafi Goldwasser's exploration of trust issues in ML systems.
provider YouTube
pricing Free Video
duration 57 minutes
sessions On-Demand
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GPT-4.1 - The Catchup Models: Understanding OpenAI's Latest Release

Explore the recent GPT-4.1 models from OpenAI, their capabilities, benchmarks, and positioning within the LLM ecosystem in this comprehensive breakdown with practical prompting guidance.
provider YouTube
pricing Free Video
duration 14 minutes
sessions On-Demand
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Neuromorphic Computing - Faster Solutions for Scientific Breakthroughs

Explore neuromorphic computing with Johan Mentink, learning how brain-inspired computing paradigms offer energy-efficient, faster solutions to computational problems that could enable scientific breakthroughs.
provider YouTube
pricing Free Video
duration 57 minutes
sessions On-Demand
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What if AI Really Does Hit a Wall? My Personal 5 Nightmares

Explore five personal nightmares about potential AI development limitations and what could happen if artificial intelligence hits a developmental wall.
provider YouTube
pricing Free Video
duration 21 minutes
sessions On-Demand
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AI Enabled Observability Explainers - We Actually Did Something With AI!

Discover how eBay's Observability team combines algorithms with LLMs to create predictable AI "Explainers" for telemetry signals, enhancing trace, metric, and log interpretation beyond basic LLM implementations.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
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Autonomous AI Agents for Cloud Cost Analysis

Discover how Spotify built autonomous AI agents using LangGraph to streamline cloud cost analysis, featuring multi-agent architecture, task planning, and automatic query repair capabilities for delivering actionable cost optimization insights.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
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AI Enabled Observability Explainers - We Actually Did Something With AI!

Discover how eBay's Observability team combines algorithms with LLMs to create predictable "Explainers" for telemetry signals, enhancing trace, metric, and log interpretation beyond basic AI implementations.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
course image

Mind the Gap: Bridging Cloud Native Innovation with Real-World Use

Explore real-world cloud native implementations from HSBC, Peptone, Spotify, and Apple as industry leaders share challenges, solutions, and innovations in scaling Kubernetes for enterprise applications.
provider YouTube
pricing Free Video
duration 21 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!