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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Investigating the Impact of Voice-only and Embodied Conversational Virtual Agents on Mixed Reality Puzzle Solving

Explore how voice-only and embodied conversational virtual agents affect mixed reality puzzle solving, revealing that voice-only agents may enhance task efficiency with less user effort.
provider YouTube
pricing Free Video
duration 10 minutes
sessions On-Demand
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California Institute of Technology Coursera

Gen AI - RAG Application Development using LlamaIndex

Dive into RAG application development using LlamaIndex and LLMs, mastering prompt engineering, vector databases, query pipelines, and agent creation to build sophisticated AI applications that handle complex data needs.
provider Coursera
pricing Free Online Course (Audit)
duration 9 hours 2 minutes
sessions On-Demand
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California Institute of Technology Coursera

ChatGPT Mastery – Craft Prompts for Optimal Results

Master the art of crafting effective ChatGPT prompts to generate optimal results, enhance productivity, and solve problems through precise communication techniques and advanced prompting strategies.
provider Coursera
pricing Free Online Course (Audit)
duration 4 hours 27 minutes
sessions On-Demand
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California Institute of Technology Coursera

Advanced ML Algorithms & Unsupervised Learning

Master advanced machine learning techniques including Random Forest, SVM, PCA, K-Means clustering, and deep learning fundamentals to build more powerful predictive models and uncover patterns in unlabeled data.
provider Coursera
pricing Free Online Course (Audit)
duration 8 hours 28 minutes
sessions On-Demand
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California Institute of Technology YouTube

Architecture and Design Trends in 2025

Explore critical software architecture trends for 2025 with InfoQ editors discussing AI integration, cell-based architecture, innovative backup strategies, privacy engineering, and platform commoditization.
provider YouTube
pricing Free Video
duration 35 minutes
sessions On-Demand
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California Institute of Technology YouTube

From Seeing to Doing: Ascending the Ladder of Visual Intelligence

Explore the evolution of visual intelligence with Dr. Fei-Fei Li as she discusses the progression from perception to action in AI systems, drawing from her extensive research and industry experience.
provider YouTube
pricing Free Video
duration 1 hour 20 minutes
sessions On-Demand
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California Institute of Technology YouTube

How to Segment and Replace Background in Images with MediaPipe and OpenCV

Master object segmentation and background replacement in images using MediaPipe DeepLabV3 and OpenCV with Python, including keypoint segmentation and visual overlay techniques.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
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California Institute of Technology YouTube

How I'd Learn ML/AI Fast If I Had to Start Over

Discover a strategic roadmap for learning AI and ML from scratch in 2025, with step-by-step guidance on the most efficient path to mastering these rapidly evolving technologies.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
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California Institute of Technology YouTube

How Intelligent Compute Accelerators (ICAs) are Shaping the Future of HPC and AI

Explore how Intelligent Compute Accelerators transform HPC and AI, with insights into text-to-image models, CLIP embeddings, and sparse autoencoders for enhanced interpretability and controlled generation.
provider YouTube
pricing Free Video
duration 47 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

AI Will Ship a AAA Game Autonomously by 2030

Explore the prediction that artificial intelligence will independently develop and release a AAA-quality video game by 2030, examining the technological implications and possibilities.
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!