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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Gemini 2.5 Flash - First Test and Impression

Explore Google's Gemini 2.5 Flash through hands-on testing and analysis, evaluating its capabilities and determining if it outperforms competitors in the AI space.
provider YouTube
pricing Free Video
duration 14 minutes
sessions On-Demand
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California Institute of Technology YouTube

wAIred! Learn With(out) AI - Exploring AI Tools for Enhanced Learning

Explore how AI tools enhance learning experiences while examining their impact on critical thinking skills and independent thought in education.
provider YouTube
pricing Free Video
duration 42 minutes
sessions On-Demand
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California Institute of Technology YouTube

It AI-n't What You Think! - Riding the Wave of AI Innovation

Explore how to navigate the AI revolution, understanding its impact on jobs and society while learning to adapt and thrive in this transformative era.
provider YouTube
pricing Free Video
duration 1 hour 1 minute
sessions On-Demand
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California Institute of Technology YouTube

AI Coding Agents and How to Code Them

Discover how AI Coding Agents can revolutionize programming by automating tasks and enhancing productivity. Learn to implement these agents through live coding examples and explore the future of programming with AI assistance.
provider YouTube
pricing Free Video
duration 40 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Introduction to Gemini 2.0 Flash on Google Cloud with Vertex AI

Explore Gemini 2.0 Flash's capabilities through hands-on learning with the API and Google Gen AI SDK. Master text generation, multimodal processing, function calling, and advanced features like bidirectional streaming and image generation on Vertex AI.
provider YouTube
pricing Free Video
duration 46 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Code Smarter, Not Harder: AI-Powered Dev Hacks for All

Discover practical AI tools for developers through real-world examples and live demos, covering code completion, bug detection, refactoring, and test generation to streamline your workflow regardless of programming language.
provider YouTube
pricing Free Video
duration 1 hour 19 minutes
sessions On-Demand
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California Institute of Technology YouTube

Neural Networks - Lecture 24b

Explore neural networks from a structural perspective, understanding their hypothesis class and forward propagation for making predictions.
provider YouTube
pricing Free Video
duration 49 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Neural Networks: Forward Propagation and Backpropagation - Lecture 25

Dive into neural network training with forward propagation and backpropagation techniques for parameter optimization in this comprehensive exploration.
provider YouTube
pricing Free Video
duration 1 hour 21 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Neural Networks: Practical Aspects of Training and Implementation - Lecture 26

Dive into practical aspects of using and training neural networks, focusing on implementation techniques and methodologies.
provider YouTube
pricing Free Video
duration 1 hour 21 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

How to Make Smaller LLMs R1-Smart

Discover how to enhance smaller language models with R1-Smart techniques from UC Berkeley researchers, exploring reasoning capabilities and limitations after SFT.
provider YouTube
pricing Free Video
duration 31 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!