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Computer Science Courses

953 Courses

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California Institute of Technology Santa Fe Institute

Culturally Aware Machines - Why and When Are They Useful?

Explore the intersection of language, culture, and AI with Monojit Choudhury as he discusses the challenges and benefits of culturally aware machines, drawing insights from Project "Culturally Yours."
provider YouTube
pricing Free Video
duration 57 minutes
sessions On-Demand
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California Institute of Technology YouTube

Why AI Is Our Ultimate Test and Greatest Invitation

Explore Tristan Harris's urgent call to deploy AI responsibly, learning from social media's mistakes and finding a path where technological power is balanced with wisdom and foresight.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
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California Institute of Technology YouTube

Benchmarks LIE! Here's The Real AI Power

Discover why benchmarks can be misleading in AI evaluation and learn about more meaningful ways to assess true AI capabilities and power.
provider YouTube
pricing Free Video
duration 16 minutes
sessions On-Demand
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California Institute of Technology Coursera

Introduction to AI and Machine Learning

Discover the fundamentals of AI and ML with AWS, covering supervised and unsupervised learning, neural networks, NLP, computer vision, and hands-on experience with Amazon SageMaker for model deployment and optimization.
provider Coursera
pricing Free Online Course (Audit)
duration 9 hours 6 minutes
sessions On-Demand
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California Institute of Technology Coursera

Generative AI in Marketing

Master generative AI tools like ChatGPT, DALL·E, and MidJourney to revolutionize marketing strategies, automate content creation, enhance personalization, and optimize campaigns for measurable business impact.
provider Coursera
pricing Free Online Course (Audit)
duration 4 hours 18 minutes
sessions On-Demand
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California Institute of Technology YouTube

Responsible AI in FinTech: Navigating Regulation and Disruption

Explore how FinTech organizations balance AI's disruptive potential with governance frameworks, and understand implications for engineering strategy, risk management, and innovation.
provider YouTube
pricing Free Video
duration 40 minutes
sessions On-Demand
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California Institute of Technology YouTube

You Can Only Design a System to the Limit of What You Can Plan For

Explore systems thinking with Joe Barnes as he discusses how competition drives innovation, the importance of building, and the future of human-AI collaboration.
provider YouTube
pricing Free Video
duration 20 minutes
sessions On-Demand
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California Institute of Technology YouTube

How HUK-COBURG Became a Data-Driven Insurance Leader

Discover how HUK-COBURG transformed into a data-driven insurance leader, leveraging big data, AI, and machine learning to revolutionize personalized pricing, customer service, and claims processing.
provider YouTube
pricing Free Video
duration 57 minutes
sessions On-Demand
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California Institute of Technology YouTube

Is INSANE Fast Special MCP AI Agents The Future?

Explore the potential of fast MCP AI agents as a future technology, examining their capabilities and implications for AI development.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand
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California Institute of Technology YouTube

4 Challenges For My MCP AI Agent Setup - Can We Solve All?

Explore the four key challenges in implementing MCP AI agent setups and discover potential solutions in this 16-minute analysis of complex agent architecture problems.
provider YouTube
pricing Free Video
duration 16 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!