Sign in Sign up

Computer Science Courses

953 Courses

course image
California Institute of Technology YouTube

How to Use ComfyUI for Beginners

Learn the fundamentals of ComfyUI, from installation and basic operations to understanding nodes, workflows, and key concepts like sampling, seeds, and image generation techniques.
provider YouTube
pricing Free Video
duration 39 minutes
sessions On-Demand
course image
California Institute of Technology AWS Skill Builder

Quiz - Generative AI Fundamentals

Test your knowledge of generative AI fundamentals, including large language models, prompt engineering, ethical considerations, and applications across industries in this quick assessment.
provider AWS Skill Builder
pricing Free Certificate
duration 10 minutes
sessions On-Demand
course image
California Institute of Technology AWS Skill Builder

Quiz - Machine Learning Fundamentals

Test your understanding of machine learning fundamentals with questions on supervised/unsupervised learning, algorithms, evaluation metrics, and core concepts essential for AI applications.
provider AWS Skill Builder
pricing Free Certificate
duration 10 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

10 Mind-Blowing ChatGPT Features You're Not Using Yet

Discover 10 powerful ChatGPT features including Sora video generation, scheduled tasks, voice conversations, custom GPTs, and the new Operator tool to enhance your productivity and creativity.
provider YouTube
pricing Free Video
duration 14 minutes
sessions On-Demand
course image
California Institute of Technology Coursera

Artificial Intelligence in Finance and Wealth Management

Explore how AI and machine learning are revolutionizing financial planning and wealth management through practical applications, innovative tools, and ethical considerations in this three-course specialization.
provider Coursera
pricing Paid Course
duration Not Specified
sessions On-Demand
course image
California Institute of Technology YouTube

Create AI Agents with UI - No Code and Free (Step by Step)

Learn to build AI agents with user interfaces using Make automation platform—no coding required. Step-by-step guide with free templates and resources for creating functional AI assistants.
provider YouTube
pricing Free Video
duration 17 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Computational Inductive Biases of Spatiotemporal Artificial Neural Networks

Explore computational inductive biases in spatiotemporal artificial neural networks and their implications for network science and machine learning applications.
provider YouTube
pricing Free Video
duration 59 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

RobotLearning - Agentic and Autonomous Systems

Explore the design and tooling of autonomous learning agents, connecting autonomous systems with agentic models to achieve effective real-world reinforcement learning.
provider YouTube
pricing Free Video
duration 1 hour 49 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Message Summarization App - CSE 481 Networks and Mobile AI Capstone

Discover how a student team developed a mobile app that uses AI to summarize messages, streamlining communication for busy users.
provider YouTube
pricing Free Video
duration 22 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Pitfalls and Possibilities in Designing with Generative AI

Explore the challenges and opportunities of designing with generative AI through case studies in chatbot authoring and interactive programming, examining how human intuitions can both help and hinder effective AI collaboration.
provider YouTube
pricing Free Video
duration 56 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!