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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Responsible AI Computing: Efficient and Sustainable Infrastructure Solutions

Explore how IT professionals can implement responsible AI computing solutions that balance technological benefits with business costs, featuring innovations for efficient, sustainable infrastructure from edge to core data centers.
provider YouTube
pricing Free Video
duration 21 minutes
sessions On-Demand
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California Institute of Technology YouTube

Agent2Agent and MCP Protocol in Multi-Agent AI

Explore Google's Agent2Agent Protocol and its compatibility with MCP protocol for tool use by LLMs, featuring cross-ecosystem compatibility with LangGraph and crew.ai, plus Python code examples and JSON schema details.
provider YouTube
pricing Free Video
duration 23 minutes
sessions On-Demand
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California Institute of Technology YouTube

Nuclear Power AI: Reinforcement Learning vs Pre-Training for High-Risk Technical Environments

Explore how reinforcement learning amplifies pre-trained behaviors in AI systems, with implications for high-risk environments like nuclear power plants, based on Harvard research.
provider YouTube
pricing Free Video
duration 29 minutes
sessions On-Demand
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California Institute of Technology University of the People

Bachelor of Science in Computer Science (BCS) Online Degree

Gain in-demand skills to join one of the fastest growing fields in the world and learn the latest in programming, software, and computing technology.
provider University of the People
pricing $5,660.00
duration 24-30 months
sessions On-Demand
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California Institute of Technology YouTube

Self-Hosting LLMs: Architect's Guide to When and How

Discover the key factors for evaluating when to self-host LLMs and learn best practices for optimizing deployment in enterprise environments, from cost savings to security considerations.
provider YouTube
pricing Free Video
duration 40 minutes
sessions On-Demand
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California Institute of Technology YouTube

How I Learned to Stop Worrying and Love AI

Explore Dr. William Regli's perspective on AI, challenging both optimistic and pessimistic views while offering a socio-technical framework to address emerging challenges in human-AI integration.
provider YouTube
pricing Free Video
duration 1 hour
sessions On-Demand
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California Institute of Technology YouTube

LLM Workflows: From Automation to AI Agents with Python

Explore the design and implementation of AI agent workflows with Python, from basic automation to building a virtual assistant using OpenAI's Agents SDK, with practical examples and code.
provider YouTube
pricing Free Video
duration 29 minutes
sessions On-Demand
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California Institute of Technology YouTube

Trust and Distrust in ML: Privacy, Verification and Robustness

Explore the critical aspects of machine learning trustworthiness with Shafi Goldwasser, examining privacy concerns, verification methods, and robustness challenges in this Emmy Noether Lecture.
provider YouTube
pricing Free Video
duration 1 hour 5 minutes
sessions On-Demand
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California Institute of Technology YouTube

Frameworks and Roadmap to Follow for Mastering Agentic AI Systems

Discover a comprehensive roadmap and framework for mastering Agentic AI systems, exploring autonomous AI that can make decisions, take actions, and adapt without constant human supervision.
provider YouTube
pricing Free Video
duration 14 minutes
sessions On-Demand
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California Institute of Technology YouTube

Roland's Holistic Approach to AI for Music Creation

Explore Roland's holistic approach to AI for music creation, including technical demonstrations, R&D strategies, policy considerations, and governance mechanisms designed to enhance human creativity responsibly.
provider YouTube
pricing Free Video
duration 27 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!