Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Getting Started with AI using IBM Watson
In this course you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone to easily apply AI and build smart apps. You will also work with several Watson services to demonstrate AI in action.
This course does not require any programming or computer science expertise and is designed for anyone whether you have a technical background or not.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Linux: Introduction to Shell Scripting for DevOps
In this 1-hour long project-based course on Linux: Introduction to Shell Scripting for DevOps, you will be writing your own Bash/Shell scripts for scratch.You will be going through all of the key components that make up the bash script, from exit statuses, the test command, if/else statements, loops and file archiving.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Introduction to Medical Software
In this class, we present a broad overview of the field of medical software. You will learn from Yale professors and a series of industry experts who connect the course concepts to their real world applications. We begin by discussing medical device regulatory structures, data privacy and cybersecurity regulations, and key support technologies such quality management systems and risk management.
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Course by
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Self Paced
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38 ساعات
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الإنجليزية
Fundamentals of Machine Learning in Finance
The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance.
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Course by
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Self Paced
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18 ساعات
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الإنجليزية
Robotic Path Planning and Task Execution
This course, which is the last and final course in the Introduction to Robotics with Webots specialization, will teach you basic approaches for planning robot trajectories and sequence their task execution. In "Robotic Path Planning and Task Execution", you will develop standard algorithms such as Breadth-First Search, Dijkstra's, A* and Rapidly Exploring Random Trees through guided exercises.
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Course by
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Self Paced
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39 ساعات
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الإنجليزية
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space. The course starts by looking at how the human visual system works and then teaches you about the engineering, mathematics, and computer science that makes digital images work.
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Course by
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Self Paced
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21 ساعات
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الإنجليزية
Probability Theory: Foundation for Data Science
Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data collection. We’ll end the course with Gaussian (normal) random variables and the Central Limit Theorem and understand its fundamental importance for all of statistics and data science. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science
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Course by
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Self Paced
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48 ساعات
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الإنجليزية
Mathematics for Computer Science
“Welcome to Introduction to Numerical Mathematics. This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. At any stage of the problem solving and modelling stage you will require numerical and computational tools. We get you started in binary and other number bases, some tools to make sense of sequences of numbers, how to represent space numerical using coordinates, how to study variations of quantities via functions and their graphs.
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Course by
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Self Paced
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38 ساعات
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الإنجليزية
Coding Interview Preparation
The final course in this program will help prepare you for the unique aspects of a coding job interview, with approaches to problem-solving and computer science foundations needed to land the job. Ultimately you’ll gain strategic insights and tips for successful interviewing.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
Statistical Inference for Estimation in Data Science
This course introduces statistical inference, sampling distributions, and confidence intervals. Students will learn how to define and construct good estimators, method of moments estimation, maximum likelihood estimation, and methods of constructing confidence intervals that will extend to more general settings. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform.
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Course by
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Self Paced
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28 ساعات
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الإنجليزية
Calculus through Data & Modelling: Vector Calculus
This course continues your study of calculus by focusing on the applications of integration to vector valued functions, or vector fields. These are functions that assign vectors to points in space, allowing us to develop advanced theories to then apply to real-world problems. We define line integrals, which can be used to fund the work done by a vector field. We culminate this course with Green's Theorem, which describes the relationship between certain kinds of line integrals on closed paths and double integrals.
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Course by
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Self Paced
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5 ساعات
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الإنجليزية
Robotic Mapping and Trajectory Generation
In this second course of the Introduction to Robotics specialization, "Robotic Mapping and Trajectory Generation", you will learn how to perform basic inverse kinematics of (non-)holonomic systems using a feedback control approach. You will also learn how to process multi-dimensional sensor signals such as laser range scanners for mapping.
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Course by
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Self Paced
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26 ساعات
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الإنجليزية
Artificial Creativity
Artificial Creativity explores the emerging field of creativity in artificial intelligence (AI) from a design perspective, bringing together insights from computer science and creative disciplines. In this course, you will survey the history and theories behind today's creative AI, analyze the unorthodox approaches that have advanced the field, and experience cutting-edge creative AI tools. At the same time, you will learn design thinking research methods, how to implement them for your creative insights, and how to translate them to professional and business contexts.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Introduction to High-Performance and Parallel Computing
This course introduces the fundamentals of high-performance and parallel computing. It is targeted to scientists, engineers, scholars, really everyone seeking to develop the software skills necessary for work in parallel software environments. These skills include big-data analysis, machine learning, parallel programming, and optimization. We will cover the basics of Linux environments and bash scripting all the way to high throughput computing and parallelizing code. We recommend you are familiar with either Fortran 90, C++, or Python to complete some of the programming assignments.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Teaching Impacts of Technology: Fundamentals
In this course you’ll focus on the fundamentals of teaching the impacts of technology, starting by exploring how you interact with and benefit from technology in a typical 24 hour period, such as the desire for instant food and entertainment. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Advanced Modeling for Discrete Optimization
Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. Good decisions in manpower and material resources management also allow corporations to improve profit by millions of dollars.
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Course by
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Self Paced
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47 ساعات
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الإنجليزية
Introduction to Basic Game Development using Scratch
By the end of this project, you will create a basic game using an introductory, web-based coding program called Scratch. Learning to code will allow you to build basic coding or computer science skills and a fundamental understanding in order to grow your programming abilities. Learners will engage in the design process in order to develop an understanding of how to develop algorithms that control programs, use event-driven programming, and debug a program. Note: This course works best for learners who are based in the North America region.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Precalculus: Periodic Functions
This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the beginning student to begin their scientific career, preparing them for future science and calculus courses. This course is designed for all students, not just those interested in further mathematics courses.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Introduction and Programming with IoT Boards
Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data. This course will be very useful to senior undergraduate and graduate students as well as engineers who are working in the industry.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Linux: File Management for Devops
In this 1-hour long project-based course on Linux file management for DevOps, you will be working entirely on the command line and using powerful Linux commands working with files and directories and manipulating them. We will copying, moving and creating symlinks between files, as well as learning how to search through outputs and cut outputs by columns to only retrieve the data fields that we need. We will learn various commands and options that will give you the confidence to work with files in most Linux environments.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Discrete Mathematics
Discrete mathematics forms the mathematical foundation of computer and information science. It is also a fascinating subject in itself. Learners will become familiar with a broad range of mathematical objects like sets, functions, relations, graphs, that are omnipresent in computer science. Perhaps more importantly, they will reach a certain level of mathematical maturity - being able to understand formal statements and their proofs; coming up with rigorous proofs themselves; and coming up with interesting results. This course attempts to be rigorous without being overly formal.
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Course by
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42 ساعات
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الإنجليزية
Learn to Teach Java: Inheritance and Recursion
Learn to program with Inheritance and Recursion in Java, and prepare to teach others using the free, online interactive CS Awesome textbook. In this course for teachers we'll guide you both in learning Java concepts and skills but also in how to effectively teach those to your students. This course will support you in teaching the Advanced Placement Computer Science A course or a similar introductory university-level programming course. We'll cover the Java concepts of inheritance and recursion, as covered in the APCS A Units 9 and 10.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists
How do gamers cause things to happen when they hit buttons on their controller? How does the computer keep track of gamer's scores? This class teaches the concepts of nested loops, events, and variables. For each concept, we'll start by helping you connect real-world experiences you are already familiar with to the programming concept you are about to learn. Next, through a cognitively scaffolded process we'll engage you in developing your fluency with problem solving with nested loops, events, and variables in a way that keeps frustration at a minimum.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Stability and Capability in Quality Improvement
In this course, you will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to perform statistical hypothesis testing. You will create statistical process control charts for both continuous and discrete data using R software. You will analyze data sets for statistical control using control rules based on probability.
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Course by
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Self Paced
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10 ساعات
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الإنجليزية
Linux: Processes & System Resource Management for DevOps
In this 1-hour long project-based course on Linux: Intro to process and system resource management for DevOps, you will be working entirely on the command line and using powerful Linux commands such as ps -ef, top, and pstree to learn how process and system resources work and are managed in Linux. You will be starting, stopping, searching and viewing running processes and seeing how they are all linked together in the process hierarchy.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية