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Computer Science Courses

895 Courses

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California Institute of Technology YouTube

Good LLMs Need BAD Data: The Shocking Truth

Discover the counterintuitive finding that including "bad data" in LLM training can lead to more controllable AI systems, as Harvard researchers demonstrate how this approach enables better post-training behavior mitigation.
provider YouTube
pricing Free Video
duration 35 minutes
sessions On-Demand
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California Institute of Technology YouTube

The Role of Machine Learning Copies in Ensuring a More Trustworthy AI

Explore how machine learning copies can enhance AI trustworthiness in this insightful talk from IFISC researchers.
provider YouTube
pricing Free Video
duration 1 hour 10 minutes
sessions On-Demand
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California Institute of Technology YouTube

Robust and Conjugate Gaussian Processes Regression

Explore robust and conjugate Gaussian process regression methods that maintain closed-form conditioning while overcoming limitations of standard GP assumptions about observation noise.
provider YouTube
pricing Free Video
duration 44 minutes
sessions On-Demand
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California Institute of Technology YouTube

HPC Infrastructures: High Level Architecture and Role of the Network

Explore HPC and AI infrastructure architecture, focusing on communication networks and green computing systems to reduce energy consumption through real-world examples.
provider YouTube
pricing Free Video
duration 12 minutes
sessions On-Demand
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California Institute of Technology YouTube

Building an AI Agent with LangGraph - Step by Step Tutorial

Dive into building your first AI agent with LangGraph in this step-by-step tutorial covering agent frameworks, graph-based workflows, and a practical budget coach example using Plaid API integration and Streamlit.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Gemini 2.5 Unlocks Hard Mode - Video Understanding

Explore Gemini 2.5's breakthrough capabilities in video understanding, outperforming GPT-4.1 and rivaling specialized models while offering cost-effective alternatives for developers.
provider YouTube
pricing Free Video
duration 10 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Towards Combinatorial Interpretability of Neural Computation

Explore a novel combinatorial approach to neural network interpretability through the Feature Channel Coding Hypothesis, revealing how networks compute Boolean expressions and the natural limitations of code interference.
provider YouTube
pricing Free Video
duration 1 hour 1 minute
sessions On-Demand
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California Institute of Technology YouTube

Robot Learning: Agentic and Autonomous Systems - Part 2

Explore how autonomous learning agents require careful design to achieve effective interaction, connecting autonomous systems with agentic models for real-world reinforcement learning.
provider YouTube
pricing Free Video
duration 20 minutes
sessions On-Demand
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California Institute of Technology YouTube

The Science Behind Nobel-Winning AlphaFold Program

Discover how Nobel Prize winner John Jumper developed AlphaFold, the revolutionary AI system for protein structure prediction, and learn about its evolution, impact on molecular biology, and future applications in science.
provider YouTube
pricing Free Video
duration 56 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Build, Buy or Blend? How to Bring Your Best AI Strategy and Sandwich to the Table

Explore the strategic decisions of building, buying, or blending AI solutions with Gartner experts. Learn to navigate governance, risk management, and the "AI tech sandwich" approach to create value-driven AI implementations for your organization.
provider YouTube
pricing Free Video
duration 43 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!