Computer Science Courses

910 Courses

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AI/ML Security - Understanding Jailbreak Prompts and Adversarial Illusions in Large Language Models

Explore jailbreak prompts and adversarial illusions in AI/ML systems through two cutting-edge USENIX security research papers presented by Cornell Tech and Washington University experts.
provider YouTube
pricing Free Video
duration 47 minutes
sessions On-Demand
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Beyond the Black Box - Revealing Adversarial Neural Patterns in LLMs

Uncover how LLM jailbreaks function through neural introspection techniques that decode internal states, revealing previously unknown attack patterns and mechanics in large language models.
provider YouTube
pricing Free Video
duration 50 minutes
sessions On-Demand
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AI is Just Math - Get Over It!

Uncover the mathematical foundations of AI to dispel fear and gain practical guidance on addressing AI threats through understanding algorithmic components and types.
provider YouTube
pricing Free Video
duration 51 minutes
sessions On-Demand
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Defend Your AI - Mastering Detection and Prevention of Adversarial Attacks

Master detection and prevention of adversarial attacks on LLMs through two frameworks covering jailbreaking, prompt injection, bias manipulation, and PII leakage protection.
provider YouTube
pricing Free Video
duration 48 minutes
sessions On-Demand
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Vendor Vulnerability - Get Ahead of Third-Party AI Risk

Discover how AI governance safeguards your organization from third-party vendor risks while maintaining innovation and security in this 46-minute RSA Conference session.
provider YouTube
pricing Free Video
duration 46 minutes
sessions On-Demand
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Safety and Security of LLM Agents - Challenges and Future Directions

Explore safety and security challenges of LLM agents, covering threat taxonomy, novel attack vectors, defense strategies, and risk management for real-world applications.
provider YouTube
pricing Free Video
duration 53 minutes
sessions On-Demand
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AI-Driven Exposure Management - The Path to Self Healing Systems

Explore AI-backed risk management to transform security operations from reactive to proactive, automate remediation, and build self-healing cybersecurity environments.
provider YouTube
pricing Free Video
duration 39 minutes
sessions On-Demand
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Generative AI Meets Identity Governance - Automating the Overlooked

Discover how Generative AI agents automate complex identity governance tasks like role mining and lifecycle management, addressing overlooked challenges in organizational security.
provider YouTube
pricing Free Video
duration 39 minutes
sessions On-Demand
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Linear Algebra for Data Science & Machine Learning A-Z 2023

Event Title: Linear Algebra for Data Science & Machine, Learning A-Z 2023 Description: Dive into the essentials of Linear Algebra tailored specifically for Data Science, Big Data, Machine Learning, Engineering, and Computer Science. This comprehensive course on Udemy is designed to help you master the core concepts and techniques of Linear Algebra,.
provider Udemy
sessions On-Demand
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10 projects in10 Day HTML5, CSS3, JavaScript in 2022

10 Projects in 10 Days: HTML5, CSS3, and JavaScript in 2022 Embark on a 10-day journey to master HTML5, CSS3, and JavaScript with our comprehensive Udemy course. Suitable for all aspiring web developers, this course covers essential topics like arrow functions, callback functions, and both simple and advanced functions. You'll also gain ha.
provider Udemy
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!