Gratis Computer Science-kurser fra MIT, Microsoft, Google og Meta. Freelio.dk

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MIT: Quantum Computing Algorithms for Cybersecurity, Chemistry, and Optimization

Quantum Computing Algorithms for Cybersecurity, Chemistry, and Optimization

Course 2 of 2 in the Quantum Computing Fundamentals professional certificate program. Learners may enroll in each course independently and receive a certificate of completion and CEUs. However, both courses are required in order to get the Professional Certificate in Quantum Computing Fundamentals.

Fra 1600 USDDiplom

Microsoft: Minecraft Python coding academy

Minecraft Python coding academy

Learn to transition students from block-based coding to text-based coding in Python, how the Minecraft Computer Science learning progression guides student learning through computer science skills and concepts, and to implement curricular resources for Python.

MIT: Practical Realities of Quantum Computation and Quantum Communication

Practical Realities of Quantum Computation and Quantum Communication

Course 1 of 2 in the Quantum Computing Realities professional certificate program. To earn a Professional Certificate and CEUs, you must complete the two courses in the program. For those who do not want to commit to the full program, courses can be taken on an individual basis for a certificate of completion and CEUs.

Fra 1600 USDDiplom

Microsoft: Begin Python coding in Minecraft with MakeCode

Begin Python coding in Minecraft with MakeCode

Bring Python programming into class through Minecraft Education Python 101 computer science lessons. MakeCode Python and Azure Notebooks allow learners to code in a Minecraft world while learning key concepts like syntax and debugging. Search for a training provider Find a Global Training Partner to help you get started with this course.

MIT: Requirements for Large-Scale Universal Quantum Computation

Requirements for Large-Scale Universal Quantum Computation

Course 2 of 2 in the Quantum Computing Realities professional certificate program. To earn a Professional Certificate and CEUs, you must complete the two courses in the program. For those who do not want to commit to the full program, courses can be taken on an individual basis for a certificate of completion and CEUs.

Fra 1600 USDDiplom

Microsoft: Teach AP Computer Science Principles with the Microsoft MakeCode curriculum

Teach AP Computer Science Principles with the Microsoft MakeCode curriculum

Educators learn about the curriculum framework of the AP Computer Science Principles course and how the Microsoft MakeCode curriculum meets the course's curricular goals.

MIT: Robotics Essentials

Robotics Essentials

Explore the Foundations of Complex Robotic SystemsConverging technologies and global competition are driving the explosive growth of robotics development across a variety of industries. Companies today need talent with the right combination of technical and business skills to harness the massive power of automation and integrated robotics solutions.

Fra 2650 USDDiplom

Microsoft: Prepare to teach AP Computer Science Principles with Microsoft MakeCode Arcade

Prepare to teach AP Computer Science Principles with Microsoft MakeCode Arcade

Learn about the College Board's AP Computer Science Principles course and explore the Microsoft MakeCode Arcade curriculum.

MIT: Quantum Computing Realities

Quantum Computing Realities

The quantum computing revolution is upon usQuantum computing (QC) will soon have a substantial impact on nearly every industry. It will not only allow companies to do things faster than traditional computing, but entirely different.Understand the true possibilities and advantages of quantum computing while getting hands-on experience in this two-course online program.

Fra 2500 USDDiplom

Microsoft: Engage learners through games with MakeCode Arcade

Engage learners through games with MakeCode Arcade

Learn the benefits of game-based learning and how games are used in Microsoft MakeCode Arcade to provide meaningful instruction to develop computer science concepts and skills.

MIT: Quantum Computing Fundamentals

Quantum Computing Fundamentals

The quantum computing revolution is upon usLike the first digital computers, quantum computers offer the possibility of technology exponentially more powerful than current systems. They stand to change companies, entire industries, and the world by solving problems that seem impossible today.Discover the business and technical implications of the new frontier in computing and how you can apply them to your organization with this two-course program from MIT.

Fra 2500 USDDiplom

Microsoft: Utilize MakeCode Arcade in your classroom

Utilize MakeCode Arcade in your classroom

Use Microsoft MakeCode Arcade to provide meaningful instruction that develops computer science concepts and skills.

MIT: Global Health Informatics to Improve Quality of Care

Global Health Informatics to Improve Quality of Care

Learn how to design health information and communication technology (ICT) solutions for the developing world.

Microsoft: Support student learning with MakeCode Arcade

Support student learning with MakeCode Arcade

Use Microsoft MakeCode Arcade in both computer science courses and noncomputer science courses to support student learning outcomes.

MIT: Quantum Information Science I, Part 1

Quantum Information Science I, Part 1

Want to learn about quantum bits, quantum logic gates, quantum algorithms, and quantum communications, and know some linear algebra but haven't yet learned much about quantum mechanics? This is the course for you!

Microsoft: Facilitate a Minecraft Hour of AI experience

Facilitate a Minecraft Hour of AI experience

Provide high-quality AI literacy and computer science instruction for students through a successful experience with Hour of AI in Minecraft Education.

MIT: Quantum Information Science I, Part 3

Quantum Information Science I, Part 3

Want to learn about the foundations of quantum communication, including quantum channels and quantum key distribution? This is the course for you!

MIT: Computational Data Science in Physics I

Computational Data Science in Physics I

Explore realistic, contemporary examples of how computational methods apply to physics research. In this first module, you will analyze LIGO data, detect a gravitational wave signal, and fit this signal within a physical model, among other objectives, using Jupyter notebooks.

MIT: Cybersecurity for Critical Urban Infrastructure

Cybersecurity for Critical Urban Infrastructure

Preparing city officials, agency staff and a new generation of cybersecurity consultants to understand, help prevent and manage cyberattacks on vulnerable communities across America.

Fra 129 USDDiplom

MIT: Principles of Synthetic Biology

Principles of Synthetic Biology

Learn how to engineer biological systems and program organisms to perform novel tasks.

MIT: Mobile Application Experiences Part 2: Mobile App Design

Mobile Application Experiences Part 2: Mobile App Design

Learn to create your own mobile app using methods from Mobile Human Computer Interaction (HCI). Transform your mobile app idea into a usable, tested product design.

MIT: Introduction to Computer Science and Programming Using Python.

Introduction to Computer Science and Programming Using Python.

An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5.

MIT: Introduction to Computational Thinking and Data Science

Introduction to Computational Thinking and Data Science

6.00.2x is an introduction to using computation to understand real-world phenomena.

MIT: Computational Probability and Inference

Computational Probability and Inference

Learn fundamentals of probabilistic analysis and inference. Build computer programs that reason with uncertainty and make predictions. Tackle machine learning problems, from recommending movies to spam filtering to robot navigation.

MIT: Discrete-Time Signal Processing

Discrete-Time Signal Processing

A focused view into the theory behind modern discrete-time signal processing systems and applications.

MIT: Mobile Application Experiences

Mobile Application Experiences

Learn to create a novel mobile application in this MIT course - from research to design, usability, implementation and field evaluation.

MIT: Probability - The Science of Uncertainty and Data

Probability - The Science of Uncertainty and Data

Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science.

Fra 300 USDDiplom

MIT: Machine Learning with Python: from Linear Models to Deep Learning.

Machine Learning with Python: from Linear Models to Deep Learning.

An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Part of the MITx MicroMasters program in Statistics and Data Science.

Fra 300 USDDiplom

MIT: Circuits and Electronics 1: Basic Circuit Analysis

Circuits and Electronics 1: Basic Circuit Analysis

Learn techniques that are foundational to the design of microchips used in smartphones, self-driving cars, computers, and the Internet.

Fra 189 USDDiplom

MIT: Circuits and Electronics 2: Amplification, Speed, and Delay

Circuits and Electronics 2: Amplification, Speed, and Delay

Learn how to speed up digital circuits and build amplifiers in the design of microchips used in smartphones, self-driving cars, computers, and the Internet.

Fra 189 USDDiplom

MIT: Circuits and Electronics 3: Applications

Circuits and Electronics 3: Applications

Learn about cool applications, op-amps and filters in the design of microchips used in smartphones, self-driving cars, computers, and the internet.

Fra 189 USDDiplom

MIT: Data Analysis: Statistical Modeling and Computation in Applications

Data Analysis: Statistical Modeling and Computation in Applications

A hands-on introduction to the interplay between statistics and computation for the analysis of real data. -- Part of the MITx MicroMasters program in Statistics and Data Science.

Fra 300 USDDiplom

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4225

Mathematics2318

Social Sciences2143

Data Science, Analytics & Computer Technology2067

Computer Science1714

Business & Management1464

Systems Engineering919

Art, Design & Architecture798

Electrical Engineering796

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Er kurserne virkelig gratis?

Ja. Alle kurser i kataloget er gratis at tage. Vi viser udelukkende kurser fra udbydere der tilbyder dem uden betaling. Nogle udbydere opkræver et gebyr hvis du vil have et certifikat eller diplom. Det fremgår tydeligt på det enkelte kursus.

Får jeg et diplom eller certifikat?

Det afhænger af kurset. Vi viser et "Diplom"-mærke på kurser der tilbyder certificering. Filtrér på "Med diplom" for kun at se dem. Bemærk at nogle udbydere kræver betaling for selve certifikatet selvom kurset er gratis.

På hvilket sprog er kurserne?

De fleste kurser er på engelsk. Kataloget på freelio.dk er på dansk, men selve undervisningen foregår på udbyderens originalsprog. Typisk engelsk for MIT, Microsoft, Google og Meta.

Hvordan tilmelder jeg mig et kursus?

Klik på et kursus og brug "Tilmeld"-knappen. Du bliver sendt direkte til udbyderens egen side (fx MIT Learn eller Microsoft Learn) hvor du opretter en konto og tilmelder dig. Freelio fungerer som katalog. Vi tager ikke betaling og videreformidler ikke dine oplysninger.