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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

The State of GenAI and ML in the Cloud Native Ecosystem

Explore the current landscape of GenAI & ML in cloud native environments, including trends, challenges, and emerging tools for LLMOps/MLOps workflows, optimization, and AI safety guardrails.
provider YouTube
pricing Free Video
duration 23 minutes
sessions On-Demand
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California Institute of Technology YouTube

INSANE Productivity MCP Server Setup in Claude Code

Master the MCP server setup in Claude Code to dramatically boost your productivity with this insane configuration technique.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
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California Institute of Technology YouTube

An Autonomous Mom: Revolutionizing Wind Farm Management with AI, Sensor Data and Connectivity

Explore how IoT and AI reasoning create autonomous systems for wind farm management, with practical code demonstrations and insights into the future of data-driven autonomous technologies.
provider YouTube
pricing Free Video
duration 24 minutes
sessions On-Demand
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California Institute of Technology YouTube

Letting AI Interface with Your App using MCPs

Explore how AI assistants like Jarvis can interact with applications through MCPs, and learn about the future of user interaction in Kent C. Dodds' demo.
provider YouTube
pricing Free Video
duration 23 minutes
sessions On-Demand
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California Institute of Technology Stanford University

AI Audits and Autonomy in Sociotechnical Systems

Explore how sociotechnical systems are shaped by invisible governance structures, and learn methods to uncover these mechanisms, understand the illusion of control, and amplify silenced voices to reshape our relationship with technology.
provider YouTube
pricing Free Video
duration 1 hour 5 minutes
sessions On-Demand
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California Institute of Technology YouTube

Building Agentic and Multi-Agent Systems with LangGraph

Master the development of agentic and multi-agent LLM applications using LangChain and LangGraph. Learn to build RAG systems, implement reasoning cycles, and create complex multi-agent workflows for advanced AI applications.
provider YouTube
pricing Free Video
duration 1 hour 59 minutes
sessions On-Demand
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California Institute of Technology YouTube

AI Agents: The Shift from AI Assistants to Intelligent Automation

Explore the transformative potential of AI Agents with Microsoft's Valentina Alto, covering key differentiators from AI Assistants, core characteristics, real-world applications, challenges, and best practices for enterprise implementation.
provider YouTube
pricing Free Video
duration 43 minutes
sessions On-Demand
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California Institute of Technology YouTube

Relationships, Engagement and Connection with AI

Discover how AI can strengthen student-teacher relationships, enhance classroom engagement, and create more connected learning environments with practical implementation strategies.
provider YouTube
pricing Free Video
duration 56 minutes
sessions On-Demand
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California Institute of Technology YouTube

Estimation of Channel Frequency Response in an IEEE 802.11ax SISO-OFDM Channel - Experiment 4

Dive into IEEE 802.11ax SISO-OFDM channel frequency response estimation using BPSK modulation, L-LTF fields, and Least Squares methods with MATLAB implementation and simulation result analysis.
provider YouTube
pricing Free Video
duration 29 minutes
sessions On-Demand
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California Institute of Technology YouTube

CODE RED: TTRL Unlocks AI Self-Evolution

Explore the boundaries of AI self-learning through TTRL methodology, examining the limits of self-rewarding and self-referencing reinforcement learning in language models.
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!