Computer Science Courses

895 Courses

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AI Against AI: Empowering Human Creativity in the Age of Misinformation

Discover how the News Polygraph project uses AI tools to combat disinformation through fact-checking, deepfake detection, and content verification while maintaining human oversight in journalism.
provider YouTube
pricing Free Video
duration 23 minutes
sessions On-Demand
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From Batch to Personalized: Attentive's Journey with Ray and Anyscale

Discover how Attentive transformed digital marketing with AI-powered personalization using Ray and Anyscale, including optimization strategies for large-scale recommendation systems and practical solutions for ML infrastructure challenges.
provider YouTube
pricing Free Video
duration 25 minutes
sessions On-Demand
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How Nubank Uses Foundation Models for Financial Data

Discover how Nubank trains foundation models on billions of transactions to develop rich customer representations, revealing how scaling laws improve financial applications while maintaining privacy standards.
provider YouTube
pricing Free Video
duration 21 minutes
sessions On-Demand
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Build Your First Java Agent with Google ADK

Learn to build intelligent Java agents with Google's Java Agent Development Kit (ADK) through this hands-on tutorial covering key concepts, tools, multi-agent systems, and state management.
provider YouTube
pricing Free Video
duration 16 minutes
sessions On-Demand
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Trae AI - New AI Powered Coding IDE for Programmers

Explore Trae AI, a VS Code fork with Gemini 2.5 Pro and Claude 3.7 integration, featuring MCP server connections, agent mode, custom AI agents, and powerful coding assistance tools for enhanced programming productivity.
provider YouTube
pricing Free Video
duration 10 minutes
sessions On-Demand
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Shaving the Yak with AI - Devs Want Specs, Product Owners Want Speed

Discover how AI tools like YakShaver and Loom can resolve the classic tension between product owners seeking speed and developers needing clear specifications, automating work item creation and assignment.
provider YouTube
pricing Free Video
duration 1 hour 4 minutes
sessions On-Demand
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LangChain v0.3 - Getting Started

Discover how to build a simple LLM-powered assistant with LangChain v0.3, covering setup, prompting, templates, chains, structured outputs, and image generation in this practical introduction.
provider YouTube
pricing Free Video
duration 34 minutes
sessions On-Demand
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Gemini 2.5 Pro and Qwen 2.5 VL for Object Detection - Benchmarking LLMs for Vision Tasks with RF100-VL

Explore how vision-language models perform on object detection tasks through RF100-VL benchmark testing, comparing Gemini 2.5 Pro, Qwen 2.5 VL, and other VLMs with detailed evaluation methods and results.
provider YouTube
pricing Free Video
duration 41 minutes
sessions On-Demand
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Hypotheses and Visions for the Future Intelligent World - Building a Better World

Explore Hong Zhou's hypotheses and visions for building a better future intelligent world, examining how technology can shape our society.
provider YouTube
pricing Free Video
duration 36 minutes
sessions On-Demand
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Universal Optimal Control, Reinforcement Learning, and Reaching Goals in LLMs

Explore universal optimal control theory and how reinforcement learning techniques can be applied to help Large Language Models achieve specific goals with Yann Ollivier from Meta's FAIR.
provider YouTube
pricing Free Video
duration 54 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!