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Computer Science Courses

895 Courses

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California Institute of Technology YouTube

Chaos By Design: Simulation Based Testing for AI Agents

Explore simulation-based testing for AI agents in complex scenarios where traditional approaches fail. Learn how deterministic simulation environments help test agents navigating dynamic systems without predefined solutions.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

How to Build Your Own Model Router

Discover how to build model routers that optimize LLM selection, improving accuracy by 25% while reducing costs by 90% through intelligent routing methodologies for multi-model AI systems.
provider YouTube
pricing Free Video
duration 16 minutes
sessions On-Demand
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California Institute of Technology YouTube

The Model is Not the Product - Challenges in Building Successful AI Applications

Discover why powerful foundation models don't guarantee successful AI products. Explore the engineering, UX, and business considerations that bridge the gap between model capabilities and solving real user problems.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
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California Institute of Technology YouTube

Scaling GenAI and Agentic Workflows for Practical Solutions with Zerve

Discover how enterprises like Canal+ and NASA scale Generative AI through Zerve's distributed computing engine, transforming experimental AI into cost-efficient business solutions while streamlining development and reducing infrastructure costs.
provider YouTube
pricing Free Video
duration 23 minutes
sessions On-Demand
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California Institute of Technology YouTube

TapeAgents: A Powerful Framework for Building and Optimizing AI Agents

Discover TapeAgents, a framework for AI agent development featuring "tape" recording capabilities that capture agent actions, thoughts, and observations, enabling unprecedented transparency and data-driven optimization for robust real-world applications.
provider YouTube
pricing Free Video
duration 36 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

AI is Going to Break Your Data Platform - Are You Ready?

Discover how AI's unpredictable workloads will disrupt traditional data platforms, requiring new approaches to handle chaotic query patterns, tighter latency constraints, and evolving optimization strategies.
provider YouTube
pricing Free Video
duration 37 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

No More BS: How and When to Really Leverage AI

Discover practical frameworks for AI implementation assessment, learning when to choose AI versus simpler methods. Gain data-driven perspectives on building quality foundations and governance before pursuing AI solutions.
provider YouTube
pricing Free Video
duration 26 minutes
sessions On-Demand
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California Institute of Technology YouTube

Analytics and the Dark Side of the Analytics Development Lifecycle

Explore the unintended consequences of the Analytics Development Lifecycle, including stakeholder marginalization and bottlenecks, and discover solutions for restoring data access while maintaining governance standards.
provider YouTube
pricing Free Video
duration 32 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

AI-Powered Automation: Supercharge Data Intensive Workflows with Intelligent Agents

Discover how to transform unstructured data into actionable insights using AI agents, automating data-intensive workflows for analysts and knowledge workers dealing with PDFs, contracts, and regulatory documents.
provider YouTube
pricing Free Video
duration 27 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

AI Cram Session - Demystifying Machine Learning Concepts

Dive into a beginner-friendly exploration of machine learning concepts, acronyms, and mathematical foundations through colorful illustrations and metaphors designed to demystify AI engineering.
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!