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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Closing the Reliability Gap: Practical Strategies with Guarantees for Trustworthy GenAI

Explore practical strategies for improving GenAI reliability in production systems, from identifying factual errors to implementing remediation techniques that create trustworthy AI systems requiring minimal human oversight.
provider YouTube
pricing Free Video
duration 38 minutes
sessions On-Demand
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California Institute of Technology Coursera

H2O.ai Agents : From Theory to Practice

Explore the complete lifecycle of AI agents with H2O.ai, from theoretical foundations to practical implementation across industries, featuring h2oGPTe's architecture and benchmark-leading performance.
provider Coursera
pricing Free Online Course (Audit)
duration 1 hour 9 minutes
sessions On-Demand
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California Institute of Technology Vanderbilt University

Generative AI Database Design & Management with ChatGPT

Dive into AI-powered database design techniques using ChatGPT to create adaptable schemas, generate test data, simulate performance, and optimize migrations—transforming how you develop and maintain database systems.
provider Coursera
pricing Free Online Course (Audit)
duration 4 hours 19 minutes
sessions On-Demand
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California Institute of Technology YouTube

Dia 1.6B TTS for NotebookLM Podcasts - Exploring Text-to-Speech Technology

Explore Dia 1.6B, a new text-to-speech system from Nari Labs, and learn how it can be used to create podcasts similar to NotebookLM through a practical demonstration with code examples and resources.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand
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California Institute of Technology YouTube

How to Fine-Tune DeepSeek R1 LLM - Step-by-Step Tutorial

Learn to fine-tune the DeepSeek R1 LLM with this step-by-step guide covering environment setup, cloud GPU usage, training with PEFT and LoRA, and running inference with your customized model.
provider YouTube
pricing Free Video
duration 24 minutes
sessions On-Demand
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California Institute of Technology YouTube

How to Count Any Object in Real-Time with Python and OpenCV

Discover how to implement real-time object counting systems using Python and OpenCV, enabling automated tracking and quantification of objects in video streams.
provider YouTube
pricing Free Video
duration 27 minutes
sessions On-Demand
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California Institute of Technology YouTube

The AI Arsenal That Could Stop World War III

Explore how AI-powered weapons and autonomous military technology might serve as deterrents to global conflict, as Palmer Luckey makes the case that advanced defense systems could paradoxically lead to lasting peace.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
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California Institute of Technology YouTube

The AI Hype is Real... But Are You Ready for It?

Discover what it takes to prepare your organization for AI implementation, from data governance to strategic planning, and learn why building the right foundation is essential before investing in artificial intelligence.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
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California Institute of Technology YouTube

Which AI Model Wins in Telecom Talk? Comparing Speech-to-Text Systems for Turkish Telecom

Explore cutting-edge research comparing Wav2Vec2, Whisper, TDNN, and LSTM speech-to-text models for Turkish telecom applications, revealing which performs best with technical jargon.
provider YouTube
pricing Free Video
duration 36 minutes
sessions On-Demand
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California Institute of Technology YouTube

Kubernetes is the New Skynet - The Rise of Kubernetes Automation

Explore the rise of Kubernetes automation and its parallels to Skynet in this insightful CNCF talk about the evolution of cloud native computing technologies.
provider YouTube
pricing Free Video
duration 32 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!