Computer Science Courses

1258 Courses

course image

Transforming Enterprise Frontends with Micro-Frontend Architectures

Discover how to transform monolithic frontends into scalable micro-frontend architectures, covering implementation methods, real-world examples, and transition strategies.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
course image

AI and Human Expertise for Excellence in Insurance

Explore how AI transforms insurance operations while maintaining essential human expertise in risk assessment, claims processing, fraud detection, and strategic decision-making.
provider YouTube
pricing Free Video
duration 14 minutes
sessions On-Demand
course image

AI Product & Process Excellence

Master GenAI tools like ChatGPT for product management, process modeling with BPMN, and sustainability strategies through hands-on application to real-world scenarios.
provider Coursera
pricing Paid Course
duration Not Specified
sessions On-Demand
course image

LLM Application Engineering and Development Certification

Master LLM application engineering with LangChain workflows, fine-tuning techniques, and evaluation benchmarks to build scalable GenAI solutions for real-world deployment.
provider Coursera
pricing Paid Course
duration Not Specified
sessions On-Demand
course image

Mastering DeepSeek.ai: From Fundamentals to Advanced Skills

Master DeepSeek.ai to build, integrate, and deploy AI-powered applications and intelligent agents through hands-on projects with automation tools and advanced techniques.
provider Coursera
pricing Paid Course
duration Not Specified
sessions On-Demand
course image

AI Innovation & Product Strategy

Master AI-driven innovation with hands-on experience in entrepreneurial strategy, product development using ChatGPT/Copilot, AI-powered BPM, and sustainable GenAI integration.
provider Coursera
pricing Paid Course
duration Not Specified
sessions On-Demand
course image

Generative AI Models and Transformer Networks Certification

Master Generative AI from autoencoders to transformers. Build VAEs, GANs, and deploy GPT/BERT models with RAG techniques for real-world applications using TensorFlow.
provider Coursera
pricing Paid Course
duration Not Specified
sessions On-Demand
course image

AI in Sports: The Approach of a Club

Discover how Real Madrid applies AI to transform athlete performance, injury prevention, fan engagement, and strategic decision-making in professional sports.
provider Coursera
pricing Paid Course
duration Not Specified
sessions On-Demand
course image

Generative AI for Business Analysts

Unlock GenAI's potential to boost business analysis productivity by 66% through practical applications in requirements gathering, data analysis, and stakeholder communication.
provider Coursera
pricing Paid Course
duration Not Specified
sessions On-Demand
course image

Agentic AI and Blockchain - Autonomous Systems

Explore how agentic AI and blockchain create autonomous systems that operate independently, covering AI agent architecture, automation differences, and real-world applications.
provider YouTube
pricing Free Video
duration 21 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!