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Computer Science Courses

1149 Courses

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California Institute of Technology YouTube

GenAI Powered Network Automation - Can LLM Agents be Network Operators?

Explore how generative AI and LLM agents can revolutionize network automation, featuring multi-agent configurations for troubleshooting and in-context learning to improve operational accuracy.
provider YouTube
pricing Free Video
duration 21 minutes
sessions On-Demand
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California Institute of Technology YouTube

Open, Free, Secure DNS

Discover how protective DNS blocks malicious domains at resolution layer, reducing malware and phishing risks while evaluating key deployment features and Quad9's privacy-focused approach.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
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California Institute of Technology YouTube

Building Agents with Amazon Nova Act and MCP - Full Workshop

Master building sophisticated AI agents using Amazon Nova Act and MCP for web navigation, multi-step tasks, and natural language interactions in this hands-on workshop.
provider YouTube
pricing Free Video
duration 1 hour 26 minutes
sessions On-Demand
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California Institute of Technology YouTube

Building AI Products That Actually Work

Discover practical techniques for building AI products that actually work in production, moving beyond demos to real-world solutions that deliver value.
provider YouTube
pricing Free Video
duration 19 minutes
sessions On-Demand
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California Institute of Technology YouTube

The Web Browser Is All You Need

Discover how web browsers serve as the ultimate MCP server, enabling production AI agents to interact with the entire internet through browsing tools and OpenAPI integration.
provider YouTube
pricing Free Video
duration 18 minutes
sessions On-Demand
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California Institute of Technology YouTube

Using Computers to Characterize and Quantify Language and Face Expression in Schizophrenia

Explore computational methods for analyzing language and facial expressions in psychiatric research, focusing on schizophrenia diagnosis and social communication patterns.
provider YouTube
pricing Free Video
duration 1 hour 1 minute
sessions On-Demand
course image
California Institute of Technology YouTube

The State of MCP Observability - Observable.tools

Explore MCP observability challenges and solutions with experts from W&B and Dylibso, covering Observable.tools initiative and practical evaluation frameworks for AI agents.
provider YouTube
pricing Free Video
duration 17 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

7 Life-Changing Uses of AI I Wish I Knew Earlier

Discover 7 transformative AI applications beyond basic tasks: get advice from heroes, process emotions, visualize goals, improve meetings, build apps without code, and tackle unfair bills.
provider YouTube
pricing Free Video
duration 14 minutes
sessions On-Demand
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California Institute of Technology YouTube

Projects You Should Build for Gen AI and Agentic AI Roles

Discover essential project types for Gen AI careers: Agentic AI systems and RAG applications with vector databases, plus key skills like MCP, debugging, monitoring, and LLM evaluation.
provider YouTube
pricing Free Video
duration 17 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Conversational Memory in LangChain for 2025

Master conversational memory in LangChain v0.3 by exploring buffer, window, summary, and summary buffer memory types using RunnableWithMessageHistory for context-aware chatbots.
provider YouTube
pricing Free Video
duration 44 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!