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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

How to Code Agents with Google's NEW ADK

Discover how to build AI agents with Google's Agent Developer Kit (ADK), exploring workflows, code examples, multi-agent configurations, dynamic memory, and Agent2Agent protocols.
provider YouTube
pricing Free Video
duration 39 minutes
sessions On-Demand
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California Institute of Technology YouTube

When Smart AI Models Overthink Stupid Data - AI TRAP

Discover how AI models with advanced reasoning capabilities can overthink ill-posed questions, leading to redundant thinking patterns and inefficient responses—a critical flaw in current LLM training approaches.
provider YouTube
pricing Free Video
duration 27 minutes
sessions On-Demand
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California Institute of Technology YouTube

Neuromorphic Computing from the Computer Science Perspective - Algorithms and Applications

Explore neuromorphic computing from a computer science lens, focusing on spiking neural networks, algorithms, and real-world applications from scientific data analysis to autonomous vehicles.
provider YouTube
pricing Free Video
duration 53 minutes
sessions On-Demand
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California Institute of Technology Coursera

Gen AI: Unlock Foundational Concepts

Unlock foundational concepts of generative AI, exploring AI/ML differences, data types, Google Cloud strategies for foundation models, and responsible AI development challenges.
provider Coursera
pricing Free Online Course (Audit)
duration 3 hours 14 minutes
sessions On-Demand
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California Institute of Technology Coursera

Gen AI: Beyond the Chatbot

Explore the true potential of generative AI beyond chatbots, learning about foundation models, prompt engineering, and developing effective organizational AI strategies.
provider Coursera
pricing Free Online Course (Audit)
duration 1 hour 16 minutes
sessions On-Demand
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California Institute of Technology Coursera

Gen AI Apps: Transform Your Work

Discover how to leverage Google's gen AI applications like Gemini and NotebookLM to automate workflows, create effective prompts, and transform your productivity with grounding techniques.
provider Coursera
pricing Free Online Course (Audit)
duration 2 hours 21 minutes
sessions On-Demand
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California Institute of Technology Coursera

Gen AI Agents: Transform Your Organization

Explore how to build custom gen AI agents for business challenges, with hands-on practice creating agents using models, reasoning loops, and tools to transform your organization.
provider Coursera
pricing Free Online Course (Audit)
duration 3 hours 30 minutes
sessions On-Demand
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California Institute of Technology Coursera

Data Analysis and Visualization with Copilot in Excel

Master data analysis in Excel with Copilot Pro, transforming raw data into insights and visualizations using AI. Learn manipulation techniques, insight generation, and effective reporting through natural language prompts.
provider Coursera
pricing Free Online Course (Audit)
duration 1 day 41 minutes
sessions On-Demand
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California Institute of Technology Coursera

Copilot in PowerPoint and Word to Optimize Content Creation

Master advanced content creation techniques with Copilot in PowerPoint and Word, from developing professional presentations to transforming documents and enhancing them with multimedia elements and optimized formatting.
provider Coursera
pricing Free Online Course (Audit)
duration 20 hours 21 minutes
sessions On-Demand
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California Institute of Technology Coursera

Copilot for Advanced Collaboration in Teams and Outlook

Master Copilot in Microsoft 365 to streamline email management, meeting organization, and conversation analysis in Teams and Outlook, boosting productivity with advanced collaboration techniques.
provider Coursera
pricing Free Online Course (Audit)
duration 21 hours
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!