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Computer Science Courses

910 Courses

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California Institute of Technology Coursera

Architecting AI Solutions – Scalable GenAI Systems

Master the art of designing, deploying, and optimizing scalable GenAI systems through hands-on exploration of LGPL architecture, cloud-native deployment, resilience strategies, and security best practices.
provider Coursera
pricing Free Online Course (Audit)
duration 6 hours 4 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

Domain-specific LLM Agents

Master building domain-specific LLM agents for data centers, from fundamentals to deployment. Learn to fine-tune models, implement frameworks like LangChain, optimize performance, and ensure ethical AI practices for operational efficiency.
provider Pluralsight
pricing Free Trial Available
duration 27 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

Introduction to Developing AI Agents

Explore the fundamentals of AI agents, learn to build a basic framework in Python, and develop advanced agents that reason and interact with their environment to automate workflows.
provider Pluralsight
pricing Free Trial Available
duration 36 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

Claude Integration

Discover how to integrate Claude AI into development workflows, from data extraction to error handling and rapid prototyping for more efficient software projects.
provider Pluralsight
pricing Free Trial Available
duration 15 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

ChatGPT Pro: OpenAI Deep Research

Discover how to conduct autonomous, multi-step investigations using OpenAI's Deep Research to uncover insights, synthesize information, and make informed decisions.
provider Pluralsight
pricing Free Trial Available
duration 21 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

Basics of LangGraph Workflows

Master the essentials of LangGraph for AI agent systems, from installation to creating workflows, managing state, and debugging with LangGraph Studio.
provider Pluralsight
pricing Free Trial Available
duration 17 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

Strategies for Effective AI Governance

Discover key principles of AI governance, regulatory standards like NIST AI Risk Management Framework, and practical steps to implement oversight processes for organizational AI initiatives.
provider Pluralsight
pricing Free Trial Available
duration 22 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

Getting Started on Prompt Engineering with Generative AI

Discover how to craft effective prompts for AI systems, learn key techniques like few-shot prompting, and develop skills to evaluate and improve AI responses for better results.
provider Pluralsight
pricing Free Trial Available
duration 49 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

ChatGPT Pro: OpenAI o1

Master OpenAI's ChatGPT o1 Pro for workflow automation, data processing, multi-step task execution, and competitive analysis to enhance enterprise productivity.
provider Pluralsight
pricing Free Trial Available
duration 17 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

Claude Advanced Prompting and Ethical Considerations

Discover advanced prompting techniques for Claude, including chain-of-thought reasoning, data security practices, and strategies to detect and mitigate bias for responsible AI use.
provider Pluralsight
pricing Free Trial Available
duration 20 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!