Computer Science Courses

953 Courses

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Accelerating GenAI Business Value

Discover how Labcorp revolutionized their AI development by integrating LLMs into their model deployment pipeline, reducing deployment time while maintaining healthcare compliance standards.
provider YouTube
pricing Free Video
duration 28 minutes
sessions On-Demand
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Gen AI: AI Agents - Making LLMs Work Together in an Organized Way

Explore how AI Agents combine LLMs, tools, and custom roles to autonomously perform tasks and make decisions, enabling multiple agents to cooperatively handle complex workflows and achieve larger project goals.
provider YouTube
pricing Free Video
duration 32 minutes
sessions On-Demand
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Scaling Success: Transforming PoC into Large-Scale Impact through Iteration

Discover how to scale Generative AI projects from proof-of-concept to enterprise deployment through iterative approaches, feedback incorporation, and agile methodologies that ensure robust solutions with meaningful impact.
provider YouTube
pricing Free Video
duration 21 minutes
sessions On-Demand
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ComfyUI for AI Image Creation - Stable Diffusion GUI

Dive into ComfyUI, a powerful Stable Diffusion GUI for creating AI-generated images, with step-by-step guidance on this versatile image creation tool.
provider YouTube
pricing Free Video
duration 1 hour
sessions On-Demand
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Building an AI App: Marking Student Math Questions - Part 34

Explore agent traces in iteration 9 of an AI app for marking math questions, verifying correct system message formatting.
provider YouTube
pricing Free Video
duration 23 minutes
sessions On-Demand
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Custom, Targeted, Compact, and Neuro-symbolic AI Models for Health Applications

Explore the development of trustworthy AI models for healthcare beyond generative AI, focusing on neurosymbolic, targeted, and compact approaches that ensure explainability, safety, and guideline adherence for personalized health applications.
provider YouTube
pricing Free Video
duration 47 minutes
sessions On-Demand
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Build AI Agents - AI Meetup Melbourne (4/2/2025)

Discover how to build AI agents that transform unstructured data into searchable insights, from basic implementations to advanced multi-agent systems.
provider YouTube
pricing Free Video
duration 1 hour 6 minutes
sessions On-Demand
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Gemini and RAG in Action: Building a Sales Agent Interface - Our Real-World Journey

Dive into a practical journey of building a sales agent application using Google's Gemini models and Retrieval-Augmented Generation (RAG), covering implementation challenges, prompt engineering, and real business impact.
provider YouTube
pricing Free Video
duration 57 minutes
sessions On-Demand
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Put the AI in Renaissance: Collaborate Your Way to a Future-Proof Organization

Discover how AI-native companies set new benchmarks in speed to revenue and revenue per employee. Learn from Miro's hypergrowth journey, their co-innovation with AWS, and strategies to accelerate market time to compete with AI disruptors.
provider YouTube
pricing Free Video
duration 37 minutes
sessions On-Demand
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Beacon Care Fertility Transforms IVF Selection with AI

Discover how Beacon Care Fertility uses AI to transform embryo assessment in IVF, freeing up six months of embryologist time annually and improving patients' chances of having a baby through AWS-powered serverless solutions.
provider YouTube
pricing Free Video
duration 33 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!