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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

AI - Lessons Learnt from World's Largest Network

Discover key insights from China Mobile's AI journey, exploring lessons from the world's largest service provider on intent-based and automated network technologies.
provider YouTube
pricing Free Video
duration 32 minutes
sessions On-Demand
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California Institute of Technology YouTube

Goal-Based Agents: Complete Guide - Theory and Practical Demo

Explore Goal-Based Agents through theory and hands-on Python implementation, learning how these intelligent systems act based on goals rather than just conditions, with practical examples and code demonstrations.
provider YouTube
pricing Free Video
duration 33 minutes
sessions On-Demand
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California Institute of Technology YouTube

5 Ways To Make Money With AI No One Talks About

Discover five unique AI-driven income streams that are often overlooked, providing practical insights for generating revenue with artificial intelligence technologies.
provider YouTube
pricing Free Video
duration 21 minutes
sessions On-Demand
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California Institute of Technology YouTube

Topics in Algorithmic Fairness

Explore algorithmic fairness challenges in AI, from bias origins to fairness frameworks, with focus on Demographic Parity and the relationship between fair classification and regression in automated decision-making systems.
provider YouTube
pricing Free Video
duration 53 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Training Overparametrized Neural Networks: Early Alignment Phenomenon and Simplicity Bias

Delve into the early alignment phase in neural network training dynamics, exploring how neurons align towards key directions, creating sparsity that can lead to better generalization despite potential local minima.
provider YouTube
pricing Free Video
duration 57 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Ghibli Through AI's Eyes: How Machine Learning is Redefining Art

Explore the intersection of AI and creativity through Studio Ghibli's lens, discovering how machine learning interprets artistic styles and reshapes digital storytelling.
provider YouTube
pricing Free Video
duration 1 hour 15 minutes
sessions On-Demand
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California Institute of Technology YouTube

Prompt Engineering to Create Viral Ads Using ChatGPT 4o - Full Tutorial

Master prompt engineering techniques to create viral advertisements using ChatGPT 4o, including product shots, before-and-after visuals, and strategies to customize competitor ads for your brand.
provider YouTube
pricing Free Video
duration 27 minutes
sessions On-Demand
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California Institute of Technology YouTube

The Truth About AI and Coding - Is Your Job Safe?

Explore the impact of AI on programming careers and learn how to leverage AI tools to enhance your coding abilities, from bug fixing to code understanding and verification.
provider YouTube
pricing Free Video
duration 22 minutes
sessions On-Demand
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California Institute of Technology YouTube

Neural Networks Demo: Understanding AI/ML Models

Discover how neural networks function in AI/ML models, exploring their structure, applications in image recognition, speech processing, and natural language understanding.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Make ChatGPT Reliable - Avoiding Hallucinations and Building Stable LLM APIs

Discover hard-won strategies for building reliable LLM APIs, avoiding hallucinations, enforcing consistency, and transforming any prompt into a stable, production-ready function.
provider YouTube
pricing Free Video
duration 47 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!