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Computer Science Courses

825 Courses

California Institute of Technology YouTube

Finding the Perfect Gemini Fit on Android

Explore Google's Gemini model family for Android, from on-device Nano to cloud-based Flash, Pro, and Imagen models, with practical guidance on implementing AI solutions for critical Android use cases.
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sessions On-Demand
California Institute of Technology YouTube

Gemini Nano on Android: Building with On-Device Gen AI

Discover how to implement Gemini Nano for on-device AI in Android apps, focusing on privacy and offline functionality with new generative AI APIs for text summarization, proofreading, and image descriptions.
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sessions On-Demand
California Institute of Technology YouTube

Enhance Your Android App with Gemini Pro and Flash, and Imagen

Discover how to leverage Gemini 2.0 and Imagen 3 through Vertex AI in Firebase to create dynamic, personalized Android app experiences that increase user engagement with multimodal text and image generation capabilities.
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sessions On-Demand
California Institute of Technology YouTube

Evaluating AI Agents with Arize AI - Part 3: Agent as a Judge

Dive into advanced evaluation strategies for AI agents, exploring reasoning paths, multi-agent collaboration, and agent-as-judge techniques using Arize Phoenix for transparent assessment of agentic systems.
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sessions On-Demand
California Institute of Technology YouTube

Desktop AI Compared - From 2GB to 1024GB, Deepseek R1, Gemma3, and More!

Explore desktop AI models' performance across different memory capacities, from 2GB to 1TB, including Deepseek R1 and Gemma3, with detailed comparisons and insights.
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sessions On-Demand
California Institute of Technology Corporate Finance Institute

AI-Powered Scenario Analysis

Explore how AI enhances scenario analysis for strategic planning and risk assessment, with practical applications of generative AI technologies.
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sessions On-Demand
California Institute of Technology Corporate Finance Institute

ChatGPT for Data Analysis in Excel – Case Study

Work through practical examples with ChatGPT to help you solve data analysis problems in Excel, from queries about domain knowledge to new formulas and drawing charts and graphs
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sessions On-Demand
California Institute of Technology Corporate Finance Institute

Advanced Prompting for Financial Statement Analysis

Master advanced AI-driven financial analysis techniques using Chain-of-Thought prompting with large language models to enhance financial statement interpretation and forecasting
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sessions On-Demand
California Institute of Technology YouTube

10 Myths Busted: The Real Impact of AI and Emerging Tech

Uncover 10 common myths about AI and emerging technologies in this entertaining session that reveals why successful AI implementation is actually business transformation in disguise, with practical insights for navigating the evolving tech landscape.
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sessions On-Demand
California Institute of Technology YouTube

Break Free from Closed Models - Unlock the Power of Open Source AI

Discover how Meta leverages open-source AI through Llama to drive innovation, reduce costs, and increase transparency, helping organizations stay ahead in the evolving AI landscape.
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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!