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Computer Science Courses

910 Courses

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California Institute of Technology YouTube

New Symbolic Reasoning: DecisionFlow - Advancing Large Language Models as Principled Decision Makers

Discover DecisionFlow, a new symbolic utility reasoning AI model that enhances Chain of Thought by 30%, providing powerful critical decision support capabilities.
provider YouTube
pricing Free Video
duration 35 minutes
sessions On-Demand
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California Institute of Technology YouTube

CRAZY LLM Tests: The Best AI Model from 199 and AGI-2

Discover a comprehensive guide through AI benchmark tests, comparing 199 LLM models and exploring the latest ARC AGI-2 results to help you identify the best AI model for your needs.
provider YouTube
pricing Free Video
duration 25 minutes
sessions On-Demand
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California Institute of Technology YouTube

LLM Prompting for Passion - Free Yourself from the Busywork

Discover how to leverage large language models with smart prompting strategies and RAG, while exploring AI-powered code editors that boost your workflow and free your mind for tackling bigger problems.
provider YouTube
pricing Free Video
duration 47 minutes
sessions On-Demand
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California Institute of Technology YouTube

Rebooting America's Identity System: AI as the Catalyst

Explore how AI is transforming America's identity systems, from paper-based to digital frameworks, addressing deepfakes and the fundamental question of "what is real?" in our evolving digital landscape.
provider YouTube
pricing Free Video
duration 51 minutes
sessions On-Demand
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California Institute of Technology YouTube

Safe AI Adoption: Standards and Best Practices from Coalition for Secure AI

Discover essential AI safety standards, best practices for secure AI adoption, and strategies to address emerging cyberthreats in this expert-led session from the Coalition for Secure AI.
provider YouTube
pricing Free Video
duration 47 minutes
sessions On-Demand
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California Institute of Technology YouTube

AI Governance in Action: Balancing Innovation and Risk in the Age of GenAI

Discover practical strategies for creating AI governance frameworks that balance innovation with risk management for generative AI and large language models in enterprise environments.
provider YouTube
pricing Free Video
duration 51 minutes
sessions On-Demand
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California Institute of Technology YouTube

Data-as-Code: Securing the Future of AI Model Development

Explore the Data-as-Code approach for AI development, covering lineage, integrity, and safety guarantees from version control to model serving and implementation.
provider YouTube
pricing Free Video
duration 52 minutes
sessions On-Demand
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California Institute of Technology YouTube

Towards Global and Human Centered Explanations for Machine Learning Models

Explore the field of Explainable AI (XAI), focusing on global interpretability and human-centered approaches to machine learning models, with insights on current research and future directions.
provider YouTube
pricing Free Video
duration 26 minutes
sessions On-Demand
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California Institute of Technology edX

Bringing Ideas to Life Using AI

Supercharge your AI knowledge into practical solutions in this hands-on course. Learn to use generative AI applications to grow your expertise and create real-world solutions, regardless of your professional background.
provider edX
pricing Free Online Course (Audit)
duration 3 weeks, 2-4 hours a week
sessions On-Demand
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California Institute of Technology edX

AI Fundamentals and the Cloud

This course introduces you to AI technology, focusing on how different models work and their practical applications.
provider edX
pricing Free Online Course (Audit)
duration 3 weeks, 2-4 hours a week
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!