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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

The Unsung Hero of AI Infrastructure: Data Storage Solutions

Discover how data storage plays a critical role in AI infrastructure as Solidigm showcases their SSD solutions designed to improve model accuracy, enable GPU scaling, and address key challenges in the AI data pipeline.
provider YouTube
pricing Free Video
duration 17 minutes
sessions On-Demand
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California Institute of Technology YouTube

Why Storage Matters to AI in 2025

Explore the critical role of storage in AI workflows through 2025, from data ingestion to inference, and discover how Solidigm's SSD solutions enable running 70B parameter models on less powerful hardware through innovative memory offloading techniques.
provider YouTube
pricing Free Video
duration 48 minutes
sessions On-Demand
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California Institute of Technology YouTube

The Convergence of Blockchain and AI: A New Era for Entertainment and Digital Ownership

Explore the intersection of blockchain and AI technologies and their transformative impact on entertainment, digital ownership, and the emerging digital-first economy.
provider YouTube
pricing Free Video
duration 1 hour 8 minutes
sessions On-Demand
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California Institute of Technology YouTube

Harnessing AI for Chaos-Resilient Data Quality

Discover how AI can enhance data quality management with resilient systems, real-world success stories, and implementation best practices for chaos engineering environments.
provider YouTube
pricing Free Video
duration 12 minutes
sessions On-Demand
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California Institute of Technology YouTube

Empowering IoT and 5G with Software-Defined Networking

Explore how Software-Defined Networking transforms IoT and 5G ecosystems, comparing traditional networking with SDN, examining real-world applications, addressing deployment challenges, and envisioning the future of connected intelligence.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
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California Institute of Technology YouTube

Chaos Engineering Meets AI

Explore the intersection of chaos engineering and artificial intelligence with insights on reinforcement learning, transformer models, neural networks, and AI-powered threat detection systems.
provider YouTube
pricing Free Video
duration 18 minutes
sessions On-Demand
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California Institute of Technology YouTube

Building Defense Systems Through Controlled Failure

Discover how controlled failure techniques can strengthen defense systems in cloud environments, exploring zero trust, IAM, AI/ML, quantum-resistant encryption, micro-segmentation, and compliance automation.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand
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California Institute of Technology YouTube

Predicting and Preventing System Outages - Chaos Engineering 2025

Explore chaos engineering principles for AI systems to predict and prevent outages through controlled experiments, adversarial attacks, and failure simulations that strengthen system resilience.
provider YouTube
pricing Free Video
duration 30 minutes
sessions On-Demand
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California Institute of Technology YouTube

Automating Testing with Predictive Insights - AI-Driven Chaos Engineering

Discover how AI-driven chaos engineering transforms traditional testing methods, providing predictive insights for system resilience and practical implementation strategies for more effective failure detection.
provider YouTube
pricing Free Video
duration 26 minutes
sessions On-Demand
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California Institute of Technology Skillshare

Understand and Use AI - ChatGPT Masterclass. Get Future Ready with Smart Prompting Techniques

Master the art of effective AI prompting with ChatGPT to enhance content creation, streamline workflows, and achieve better results through proven techniques and strategies for crafting the right questions.
provider Skillshare
pricing Free Trial Available
duration 1 hour 57 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!