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Computer Science Courses

895 Courses

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California Institute of Technology Coursera

AI Fundamentals and the Cloud

Dive into AI fundamentals, learning about LLMs, Foundation Models, and responsible AI practices. Gain hands-on experience with Amazon PartyRock and explore AWS AI services like Bedrock, Q Developer, and SageMaker.
provider Coursera
pricing Free Online Course (Audit)
duration 5 hours 41 minutes
sessions On-Demand
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California Institute of Technology YouTube

openEuler - Ignite Intelligence Everywhere

Explore how openEuler enhances AI capabilities with GMEM, hybrid inference, Intelligence, and DevStation, creating a powerful open source AI software stack with DeepSeek LLM and openGauss.
provider YouTube
pricing Free Video
duration 14 minutes
sessions On-Demand
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California Institute of Technology YouTube

The Age of Agents

Explore the future of AI agents with Alex Gallego's insightful Web Summit Vancouver talk on how these technologies are evolving and transforming our digital landscape.
provider YouTube
pricing Free Video
duration 17 minutes
sessions On-Demand
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California Institute of Technology YouTube

Navigating the Generative AI Lifecycle: The AWS Path to Production

Discover AWS Well-Architected Generative AI Lens, a framework for evaluating LLM architectures in production environments, covering model selection, prompt engineering, customization, integration, and continuous improvement strategies.
provider YouTube
pricing Free Video
duration 14 minutes
sessions On-Demand
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California Institute of Technology YouTube

How to Be a Successful Early Adopter of Agents

Discover the three core foundations for successful AI agent implementation in clinical trials - from job definition and context provision to performance measurement.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
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California Institute of Technology YouTube

Can You Run a YouTube Channel with 7 MCP Servers and Claude Code?

Discover how to leverage 7 MCP servers and Claude Code to efficiently manage and grow a YouTube channel, exploring automation possibilities and technical setup.
provider YouTube
pricing Free Video
duration 22 minutes
sessions On-Demand
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California Institute of Technology YouTube

How AI Will Bring Computing to Everyone

Explore how AI and language models are revolutionizing computing, making programming accessible to everyone, and potentially replacing conventional software—a technological shift that could democratize computing for all of humanity.
provider YouTube
pricing Free Video
duration 47 minutes
sessions On-Demand
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California Institute of Technology YouTube

VIBE Coding, Agentic AI, MCP - Unpacking Building Software with AI the Secure Way

Explore AI-powered software development, from VIBE Coding and Agentic AI to MCP, discovering essential tools and best practices for building secure, intelligent applications.
provider YouTube
pricing Free Video
duration 1 hour
sessions On-Demand
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California Institute of Technology YouTube

RAG and Self-Evolving Agent ALITA with MCP Toolbox

Explore ALITA, a self-evolving AI agent that uses RAG-MCP for unscripted evolution, enabling scalable agentic reasoning with minimal predefinition and maximum adaptability.
provider YouTube
pricing Free Video
duration 20 minutes
sessions On-Demand
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California Institute of Technology YouTube

Build an AI Agent from Scratch in Raw Python - AI Agent Hands-on

Build an AI agent from scratch using raw Python and GPT-4o as its "brain." Learn the ReAct framework through hands-on implementation of chatbots, agent logic, tools, and prompts.
provider YouTube
pricing Free Video
duration 24 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!