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Computer Science Courses

877 Courses

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California Institute of Technology YouTube

Evaluation of Agentic Systems

Explore the structured approach to evaluating complex AI agents with Aditya Gautam, covering essential principles, methods, and metrics for meaningful assessment of agentic systems beyond standard evaluation techniques.
provider YouTube
pricing Free Video
duration 28 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

AI Agents for Financial Institutions

Explore the complexities of building AI Agents for financial institutions, focusing on scalable architecture to meet the demands of banks, credit unions, and fintechs.
provider YouTube
pricing Free Video
duration 28 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Prompt Engineering Vs RAG Vs Finetuning Explained Easily

Understand the key differences between prompt engineering, RAG, and fine-tuning techniques for enhancing large language models, with clear explanations of their applications, benefits, and resource requirements.
provider YouTube
pricing Free Video
duration 18 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Searching through Materials: Generate, Emulate, Simulate

Explore Max Welling's insights on materials research through generation, emulation, and simulation techniques in this MIT-Harvard colloquium on machine learning applications in biomedical research.
provider YouTube
pricing Free Video
duration 1 hour 2 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Gemini 2.5 Pro - Better Coding, Function Calling and Agentic Workflows

Explore Gemini 2.5 Pro's enhanced capabilities for coding, function calling, and agentic workflows through practical demonstrations of game development and AI applications.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Mastering AI Governance: Challenges and Solutions Explained

Explore the challenges of AI governance and discover effective solutions for ethical AI deployment, including frameworks that promote transparency, fairness, and accountability in AI systems.
provider YouTube
pricing Free Video
duration 34 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Understanding Agentic Systems and Governance - What Are AI Identities?

Explore how agentic AI systems are transforming identity governance with dynamic, adaptive access controls, and learn effective strategies for securing AI identities in complex environments.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

LangGraph Tutorial - How to Build Advanced AI Agent Systems

Dive into building advanced AI agent systems with LangGraph, a professional framework offering more control and scalability than LangChain or LlamaIndex for production-ready applications.
provider YouTube
pricing Free Video
duration 47 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

10 Powerful Ways to Use Google Gemini in Education

Discover 10 powerful ways to use Google Gemini in education, from lesson planning and personalized feedback to gamifying learning and creating podcasts, with insights from Google's Head of Education Impact.
provider YouTube
pricing Free Video
duration 16 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Building Knowledge Graphs - LLM Enhanced Approach for Educational Video Recommendations

Discover how to build intelligent knowledge graphs for educational video recommendations by combining LLMs with semantic embeddings to extract concepts, map relationships, and generate personalized learning paths.
provider YouTube
pricing Free Video
duration 49 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!