دوراتنا

Ethics in AI Design

Learn how to incorporate ethics into the development and implementation of AI systems.

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Machine Learning for Marketing

Understand the structure and techniques used in Machine Learning, Text Mining, and Decision Science for Marketing. Explore the fascinating world of Machine Learning and its transformative applications in marketing. Explain how analytics and decision science approaches for marketing can enhance the quality of marketing decision-making. Foundation in digital marketing analytics to understand the consumer journey, intent, and activity on your business website.

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Introduction to Human-Robot Interaction

Discover the basic concepts of human-robot interaction and how robots work. Learn how to design a human-robot interaction and different ways in which users can interact with robots.

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Python for AI & Development Project

This mini-course introduces you to the process for unit testing Python code, including building and running unit tests and packaging the Python application for distribution.

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Machine Learning Rock Star – the End-to-End Practice

Machine learning reinvents industries and runs the world. Harvard Business Review calls it “the most important general-purpose technology of our era.” But while there are so many how-to courses for hands-on techies, the…

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IBM AI Foundations for Business

This specialization will explain and describe the overall focus areas for business leaders considering AI-based solutions for business challenges. The first course provides a business-oriented summary of technologies and basic concepts in AI. The second will introduce the technologies and concepts in data science. The third introduces the AI Ladder, which is a framework for understanding the work and processes that are necessary for the successful deployment of AI-based solutions.

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Introduction to Robotics with Webots

The overarching learning goal of this specialization in robotics is to create an appreciation for the tight interplay between mechanism, sensor, and control in the design of intelligent systems. By the end of this specialization, you will be able to (1) formally describe the forward and inverse kinematics of a mechanism, (2) discretize the robot’s state from algorithmic reasoning, and (3) understand the sources of uncertainty in sensing or actuation and describe them mathematically.

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Foundations of Data Analytics

Learn the fundamental techniques for data analytics and to be prepared for learning and applying more advanced big data technologies.

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Modern Robotics: Mechanics, Planning, and Control

This Specialization provides a rigorous treatment of spatial motion and the dynamics of rigid bodies, employing representations from modern screw theory and the product of exponentials formula. Students with a freshman-level engineering background will quickly learn to apply these tools to analysis, planning, and control of robot motion. Students' understanding of the mathematics of robotics will be solidified by writing robotics software.

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Deep Learning with Tensorflow

Much of theworld's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems.

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Data Analytics and Visualization in Health Care

Learn best practices in data analytics, informatics, and visualization to gain literacy in data-driven, strategic imperatives that affect all facets of health care.

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PyTorch Basics for Machine Learning

This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you strong foundations and all the prerequisites you need before you build deep learning models.

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Big Data Analytics

Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information.

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Methods and Application in Human-Robot Interaction

Explore the two interaction modalities between humans and robots: verbal and emotional. Learn how to setup a study to evaluate the quality of the interaction from both, the robot’s and the human’s perspectives. Discover application areas for robots and what their role in the future society might be.

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AI Foundations for Everyone

Artificial Intelligence (AI) is no longer science fiction. It is rapidly permeating all industries and having a profound impact on virtually every aspect of our existence. Whether you are an executive, a leader, an industry professional, a researcher, or a student - understanding AI, its impact and transformative potential for your organization and our society is of paramount importance. This specialization is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills.

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Machine learning with Python for finance professionals

A machine learning course focused on delivering practical Python skills for finance professionals looking to maximise their use of these time-saving tools within their organisation.

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Big Data for Agri-Food: Principles and Tools

As the big data era unfolds, developments in sensor and information technologies are evolving quickly. As a result, science and businesses are yielding enormous amounts of data. Ideally this data provides valuable insights for decision-making in real time. But processing data the traditional way is no longer possible. Join Wageningen University & Research, #1 university Animal Sciences and Agriculture, and learn how to best handle big data sets. Enrol now.

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Dynamic Programming: Applications In Machine Learning and Genomics

Learn how dynamic programming and Hidden Markov Models can be used to compare genetic strings and uncover evolution.

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Sales Enablement & Analytics

Learn how to use data, tools, and technology to drive productivity and set yourself apart as sales leader.

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Supply Chain Analytics

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Computing in Python IV: Objects & Algorithms

Learn about recursion, search and sort algorithms, and object-oriented programming in Python.

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Computing in Python III: Data Structures

Learn more complex ways of handling data, including files, lists, and dictionaries for building complex programs.

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Computing in Python II: Control Structures

Learn about control structures, one of the most powerful parts of programming. This course covers conditionals, loops, functions, and error handling, specifically in Python but with broader applicability to other languages as well.

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IoT Programming and Big Data

Learn how to apply software solutions for different systems and Big Data needs to your IoT designs.

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Big Data Fundamentals

Learn how big data is driving organisational change and essential analytical tools and techniques, including data mining and PageRank algorithms.

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