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Computer Science Courses

910 Courses

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California Institute of Technology edX

Detecting Anomalies with Machine Learning

Advance your career with AI-driven engineering solutions. Gain practical skills to detect anomalies early and ensure system performance.
provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 2-4 hours a week
sessions On-Demand
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California Institute of Technology Coursera

Generative AI in Finance

Explore how Generative AI transforms finance through practical applications in investment strategies, fraud detection, risk assessment, and regulatory compliance, with hands-on techniques for leveraging GANs, LLMs, and prompt engineering.
provider Coursera
pricing Free Online Course (Audit)
duration 4 hours 43 minutes
sessions On-Demand
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California Institute of Technology Udemy

Generative AI, ChatGPT, Copilot & AI Agents Masterclass 2025

Master AI with an Expert: Automate Workflows, Build 12 Real-World Projects, & Unlock AI Agents, ChatGPT & CoPilot!
provider Udemy
pricing Paid Course
duration 20 hours 52 minutes
sessions On-Demand
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California Institute of Technology Coursera

Generative AI for HR Professionals

Master generative AI tools and prompting techniques for HR functions, from recruitment to workforce analytics, with hands-on labs addressing real scenarios while ensuring ethical implementation.
provider Coursera
pricing Free Online Course (Audit)
duration 8 hours 46 minutes
sessions On-Demand
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California Institute of Technology Coursera

GenAI for Financial Controllers: Boosting Budget Accuracy

Discover how to integrate Generative AI into financial workflows, using tools like Power BI and Tableau to enhance budgeting accuracy, create dynamic forecasting models, and make data-driven financial decisions.
provider Coursera
pricing Paid Course
duration 3 hours 21 minutes
sessions On-Demand
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California Institute of Technology Coursera

GenAI for Contract Managers: Automating CLM

Master GenAI integration for contract management, automating drafting, reviews, and lifecycle processes while gaining data insights to improve decision-making and operational efficiency.
provider Coursera
pricing Paid Course
duration 3 hours 21 minutes
sessions On-Demand
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California Institute of Technology Coursera

GenAI for Account Managers: Personalizing Client Engagement

Discover how to leverage GenAI to personalize client communications, automate workflows, and use predictive analytics to anticipate needs, enhancing your account management effectiveness across multiple channels.
provider Coursera
pricing Paid Course
duration 2 hours 38 minutes
sessions On-Demand
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California Institute of Technology Coursera

Data Frameworks for Generative AI

Explore the essential data frameworks powering generative AI systems, from LLMs to RAG and agentic AI. Master strategies for structured data management, governance principles, and taxonomy design to build reliable, ethical AI solutions.
provider Coursera
pricing Free Online Course (Audit)
duration 5 hours 38 minutes
sessions On-Demand
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California Institute of Technology YouTube

30 AI Buzzwords Explained For Entrepreneurs

Discover essential AI terminology for entrepreneurs with clear explanations of 30 key concepts from LLMs and prompting to vector databases and reinforcement learning, without technical jargon.
provider YouTube
pricing Free Video
duration 23 minutes
sessions On-Demand
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California Institute of Technology YouTube

Why Everyone Is Freaking Out About Veo 3, Claude 4 and OpenAI's iPhone Moment

Discover the latest AI developments including Google's Veo 3, Claude 4, and rumors about OpenAI's hardware device, plus updates from Microsoft, GitHub, Anthropic, and other major tech companies.
provider YouTube
pricing Free Video
duration 32 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!