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Computer Science Courses

1139 Courses

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California Institute of Technology Pluralsight

Domain-specific LLM Agents

Join Pluralsight's comprehensive course on Domain-specific LLM Agents and unlock your potential in the realm of AI tailored for data centers. This course takes you through all crucial stages from fundamentals to deployment, ensuring you're well-equipped to tackle real-world challenges in AI. Throughout this course, you'll acquire essential skil.
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

Unlock the potential of AI by diving into the "Introduction to Developing AI Agents" course offered by Pluralsight. Whether you're new to the field or looking to deepen your understanding, this course provides you with the foundational knowledge and skills to start building AI agents. Begin with creating a basic framework in Python, and progr.
provider Pluralsight
pricing Free Trial Available
duration 36 minutes
sessions On-Demand
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California Institute of Technology Coursera

Harnessing Ollama – Create Local LLMs with Python

Discover the capabilities of Ollama combined with Python to develop local LLM (Large Language Model) applications. Engage in hands-on projects that include creating RAG (Retrieval-Augmented Generation) systems, refining sentiment analysis tools, and constructing voice-enabled interfaces. These projects are designed to address real-world use c.
provider Coursera
pricing Free Online Course (Audit)
duration 6 hours 23 minutes
sessions On-Demand
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California Institute of Technology Coursera

Developing RAG Apps with LlamaIndex and JS

Developing RAG Apps with LlamaIndex and JavaScript | Master Advanced Techniques Dive into the world of RAG applications with our in-depth course featuring LlamaIndex and JavaScript. This comprehensive learning journey will guide you from the initial steps of setting up your environment to the advanced deployment of a full-stack NextJS chatbot. D.
provider Coursera
pricing Free Online Course (Audit)
duration 5 hours 33 minutes
sessions On-Demand
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California Institute of Technology Coursera

Architecting AI Solutions – Scalable GenAI Systems

Unlock the potential of artificial intelligence with our comprehensive course on Architecting AI Solutions – Scalable GenAI Systems. This hands-on course guides you through the intricacies of designing, deploying, and optimizing scalable AI systems. Delve into the principles of LGPL architecture and explore how to deploy systems in a cloud-nati.
provider Coursera
pricing Free Online Course (Audit)
duration 6 hours 4 minutes
sessions On-Demand
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California Institute of Technology Coursera

Semantic Kernel SDK for Intelligent Applications

Enhance your AI application development skills by integrating the power of Large Language Models with Microsoft's Semantic Kernel SDK. This course provides comprehensive insights into creating intelligent agents, developing chat applications, and designing customized plugins suited for business solutions. Offered through Coursera, this co.
provider Coursera
pricing Free Online Course (Audit)
duration 6 hours 14 minutes
sessions On-Demand
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California Institute of Technology YouTube

Overhyped or Undervalued? Exploring AI in Medicine

Discover the transformative role of artificial intelligence in the medical field, led by renowned cardiovascular experts. This insightful exploration challenges prevailing narratives, questioning whether AI's integration into healthcare is overestimated or not given its rightful value. Ideal for enthusiasts and professionals in artificial in.
provider YouTube
pricing Free Video
duration 46 minutes
sessions On-Demand
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California Institute of Technology YouTube

Probabilistic Foundations of Metacognition via Hybrid AI

Engage with an innovative approach to understanding metacognition through a probabilistic lens by leveraging hybrid artificial intelligence techniques. This online course delivers insights into how symbolic methods and deep learning can be integrated to interpret and explain significant experimental results within the domain of metacognition.
provider YouTube
pricing Free Video
duration 22 minutes
sessions On-Demand
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California Institute of Technology YouTube

A Smarter Way to Fine-Tune LLMs - Unlock Deeper Reasoning

Join our session to explore a smarter way to fine-tune Large Language Models (LLMs) and unlock their deeper reasoning abilities. This approach improves generalization techniques derived from in-context learning, backed by cutting-edge research from Google DeepMind. Elevate your understanding and application of artificial intelligence with insig.
provider YouTube
pricing Free Video
duration 19 minutes
sessions On-Demand
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California Institute of Technology YouTube

Uncertainty AI: Breakthrough for Human-AI Reasoning

Join us in unveiling the innovative Uncertainty AI framework developed by Google, which revolutionizes human-AI interaction. Through the MedAI initiative, this framework offers a profound blueprint for aligning AI with human reasoning by adopting iterative, transparent processes akin to those in clinical settings, particularly in high-stakes e.
provider YouTube
pricing Free Video
duration 14 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!