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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Live Build Agentic AI Chatbot Using LangGraph - Tutorial 3

Dive into building an agentic AI chatbot with LangGraph, an open-source framework for creating complex generative AI agent workflows with scalable LLM implementation.
provider YouTube
pricing Free Video
duration 1 hour 5 minutes
sessions On-Demand
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California Institute of Technology YouTube

Build AI Assistant With MCP Servers and Tools Using LangChain and Groq

Discover how to build AI assistants with MCP servers and tools using LangChain and Groq, enabling connections to web browsing, file operations, and custom agent development.
provider YouTube
pricing Free Video
duration 31 minutes
sessions On-Demand
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California Institute of Technology YouTube

The New Prompting Rules: How to Prompt Frontier LLM Models like Gemini 2.5, GPT 4.1 and Claude 3.7

Discover the latest prompting techniques for frontier LLM models like Gemini 2.5, GPT-4.1, and Claude 3.7, covering context handling, instruction following, delimiters, negation, and effective prompt structure.
provider YouTube
pricing Free Video
duration 20 minutes
sessions On-Demand
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California Institute of Technology YouTube

How to Build an MCP Server for LLM Agents: Simplify AI Integration

Discover how to build an MCP server to connect LLM agents with tools seamlessly, enhancing AI workflows and enabling scalable automation through the Model Context Protocol.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
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California Institute of Technology YouTube

AI in Construction - Industry Innovations

Explore how artificial intelligence is revolutionizing construction safety and productivity, with insights into machine learning, computer vision, generative AI, and AI agents transforming asset-intensive industries.
provider YouTube
pricing Free Video
duration 31 minutes
sessions On-Demand
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California Institute of Technology YouTube

The AI Revolution in Communications: Large Language Models and Beyond - Our Digital Life Episode 3

Explore how AI and Large Language Models are transforming telecommunications with insights from Professors Lasaucle and Debbah on network optimization, communication protocols, and automation in the evolving wireless landscape.
provider YouTube
pricing Free Video
duration 50 minutes
sessions On-Demand
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California Institute of Technology Coursera

Introduction to AI

Explore fundamental AI concepts, machine learning models, and ethical considerations while building essential skills for software development and data science success.
provider Coursera
pricing Free Online Course (Audit)
duration 12 hours 3 minutes
sessions On-Demand
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California Institute of Technology YouTube

Learning, Reasoning, and Planning with Neuro-Symbolic Concepts

Explore neuro-symbolic concepts for AI learning, reasoning, and planning with Jiayuan Mao, who presents a framework combining symbolic programs and neural networks for improved data efficiency and generalization.
provider YouTube
pricing Free Video
duration 1 hour 4 minutes
sessions On-Demand
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California Institute of Technology YouTube

Hallucinations, Prompt Manipulations, and Mitigating Risk: Putting Guardrails around your LLM-Powered Applications

Discover effective strategies for mitigating LLM risks through guardrails, including pre-processing techniques against prompt manipulation, output evaluation methods, and open-source frameworks demonstrated in real-world applications.
provider YouTube
pricing Free Video
duration 32 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Nunchaku Installation and Usage Tutorial on Windows

Discover how to install and use Nunchaku on Windows, including setup instructions and integration with ComfyUI plugin.
provider YouTube
pricing Free Video
duration 11 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!