Computer Science Courses

873 Courses

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OAKS: Open Agentic Knowledge Stack

Explore how Knowledge Graphs power GraphRAG in the Open Agentic Knowledge Stack (OAKS), bridging enterprise AI adoption with structured knowledge for specialized models and domain expert agents.
provider YouTube
pricing Free Video
duration 12 minutes
sessions On-Demand
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Waymo: AI in the Physical World Powering the Future of Driving

Explore the evolution of autonomous driving with Waymo's Co-CEO Dmitri Dolgov as he discusses AI's crucial role in developing self-driving technology, current achievements serving 250K weekly rides, and future possibilities in transportation.
provider YouTube
pricing Free Video
duration 30 minutes
sessions On-Demand
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Storytelling in the Age of AI

Explore how AI is expanding creative frontiers for storytellers through a conversation between filmmaker Darren Aronofsky and Google DeepMind CEO Demis Hassabis, featuring insights on their collaboration and the film Ancestra.
provider YouTube
pricing Free Video
duration 43 minutes
sessions On-Demand
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Post-Labor Economics - Day 1 Implementation & Solutions - Lecture 04 (2025 Update)

Explore practical implementation strategies and solutions for post-labor economics, focusing on immediate "Day 1" approaches for the 2025 economic landscape.
provider YouTube
pricing Free Video
duration 43 minutes
sessions On-Demand
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SC-200 Security Operations Analyst

Master Microsoft security operations with Defender for threat mitigation, Sentinel for SIEM/SOAR capabilities, and Purview for data protection and compliance management.
provider edX
pricing $180.00
duration Not Specified
sessions On-Demand
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Introduction to Digital Humanities

Explore digital humanities in India through innovative projects, theoretical challenges, archiving, open access, AI, tools, and public history applications.
provider Swayam
pricing Free Online Course
duration 8 weeks
sessions On-Demand
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Human-Agent Collaboration in Data Science and AI

Explore the evolving role of AI agents as collaborators in data science workflows, examining real-world successes, challenges, and future directions through Dr. Jason Hillary's research and implementation experiences.
provider YouTube
pricing Free Video
duration 42 minutes
sessions On-Demand
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The Power of Low Latency Data for AI Apps - 2025 - Day 1 - Workshops

Discover how pairing retrieval-augmented generation with low latency SQL analytics can enrich AI responses with instant insights, creating more interactive user experiences and enhancing RAG applications with real-time capabilities.
provider YouTube
pricing Free Video
duration 10 minutes
sessions On-Demand
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OramaCore: A Search Database with LLMs Built In

Discover OramaCore, a GPU-powered database integrating multiple LLMs and JavaScript in a single process. Learn about its architecture, algorithms, and performance optimizations that make it ideal for agentic AI applications and SaaS Copilots.
provider YouTube
pricing Free Video
duration 10 minutes
sessions On-Demand
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No More BS: How and When to Really Leverage AI

Discover practical frameworks for AI implementation assessment, learning when to choose AI versus simpler methods. Gain data-driven perspectives on building quality foundations and governance before pursuing AI solutions.
provider YouTube
pricing Free Video
duration 26 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!