Computer Science Courses

1139 Courses

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Safeguarded AI Workflows

Delve into the intricacies of safeguarded AI workflows with an enlightening presentation by David Dalrymple from MIT. This talk illuminates the potential and methodologies of safety-guaranteed Large Language Models (LLMs). Available to view on YouTube, this session is a must-watch for enthusiasts and professionals in Artificial Intelligence an.
provider YouTube
pricing Free Video
duration 56 minutes
sessions On-Demand
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Measurements for Capabilities and Hazards

Join us to explore thorough frameworks for measuring AI's vast capabilities and potential risks, with a special emphasis on safety evaluation methods tailored for large language models. Discover critical insights within artificial intelligence and computer science landscapes through this expert-led course available on YouTube.
provider YouTube
pricing Free Video
duration 59 minutes
sessions On-Demand
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Building a Local CAG System with Qwen3, Ollama and LangChain for Private Document AI Chatbots

Unlock the potential of creating a fully local Cache-Augmented Generation (CAG) chatbot, designed to handle your private documents securely and effectively. Dive into this comprehensive course using advanced tools such as Qwen3, Ollama, LangChain, and Streamlit. Learn how to construct a robust AI chatbot infrastructure that operates without th.
provider YouTube
pricing Free Video
duration 30 minutes
sessions On-Demand
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Experimenting with Foundation Models

Unlock the potential of Foundation Models and AI technology without breaking the bank. Join AWS Hero Faye Ellis on YouTube as she provides expert guidance on how to explore Large Language Models (LLMs) and artificial intelligence in a practical, cost-effective manner. This resource is perfect for anyone looking to delve into the world of AI.
provider YouTube
pricing Free Video
duration 53 minutes
sessions On-Demand
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Federated Learning Seminar - #127

Join us for the Federated Learning Seminar - #127, where you'll explore cutting-edge concepts in federated learning presented by Alexander Tyurin from Skoltech and AIRI. This seminar is part of the FLOW series, dedicated to unpacking the complexities and innovations of distributed machine learning. Ideal for enthusiasts and professionals eager.
provider YouTube
pricing Free Video
duration 57 minutes
sessions On-Demand
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A-MEM: Agentic Memory for LLM Agents - April Reading Group

Participate in our engaging session on A-MEM: Agentic Memory for LLM Agents this April in our Reading Group. Discover how A-MEM, through a Zettelkasten-inspired method, allows LLM agents to dynamically organize their knowledge, forming contextual memory networks that continue to evolve. This innovative approach significantly enhances agent p.
provider YouTube
pricing Free Video
duration 58 minutes
sessions On-Demand
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Generative AI vs Agentic AI vs AI Agents

Discover the nuances among generative AI, agentic AI, and AI agents, with a special focus on the unique capabilities of agentic AI. Learn how this technology autonomously addresses intricate problems in real-time, making it a vital tool in the evolving landscape of artificial intelligence. Enhance your understanding of these AI categories thro.
provider YouTube
pricing Free Video
duration 18 minutes
sessions On-Demand
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Remitly Uses Generative AI to Streamline Legal Reviews

Discover how Remitly is revolutionizing their legal review process through the use of cutting-edge generative AI technology. Partnering with AWS solutions, this innovative approach is designed to enhance efficiency and precision. Dive into the integration of artificial intelligence within the realm of legal operations, and learn about its tran.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
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Instruction Based Image Editing with HiDream E1 in ComfyUI

Explore the innovative approach to image editing using HiDream E1 within ComfyUI. This tool allows for the modification of images through simple prompts, eliminating the need for complex masking techniques. With ComfyUI, you can effortlessly change styles, remove objects, or completely transform items in your images. This tool is open-source a.
provider YouTube
pricing Free Video
duration 14 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!