Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
Our Courses
ETL Processing on Google Cloud Using Dataflow and BigQuery
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will build several Data Pipelines that will ingest data from a publicly available dataset into BigQuery.
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Course by
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Self Paced
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1 hour
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English
How To Land the Job You Want (Capstone Project)
In the capstone project, you will combine the skills you’ve learned in the prior four courses of the specialization to polish your elevator speeches, complete your resumes - including multiple versions for different targets - complete your story file, identify possible jobs or careers, perform the research you have learned to do, write suitable cover letters, and ideally land a job! You will: 1. Develop a personal marketing plan and campaign for getting interviews. 2. Identify at least three organizations with open positions for which you want to apply. 3.
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Course by
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Self Paced
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28 hours
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English
Create a Big Number KPI Dashboard in Tableau Public
Tableau is widely recognized as one of the premier data visualization software programs.
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Course by
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Self Paced
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2 hours
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English
Global Marketing: Building Iconic Brands
Global Marketing: Iconic Brands uses the cultural frameworks introduced in Global marketing: Cultural Frameworks to guide the process of crafting a culturally focused marketing plan for a global expansion. The course introduces the key steps for developing a global marketing plan, starting with an environmental analysis of the new markets to be developed, which provides insights into the cultural preferences of target consumers in these new markets.
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Course by
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Self Paced
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13 hours
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English
Self Publish Your Book on Amazon Kindle Direct Publishing
In this 1.5-hour long project, you will be self-publishing a paperback book on Amazon Kindle Direct Publishing. You will be guided through the entire process of selecting a trim size, downloading a template, formatting the book according to the requirements of Amazon KDP, creating a book cover using the Cover Creator tool, setting up an Amazon KDP account and then publishing the book on Amazon KDP. We will also discuss keyword research & category selection to ensure your book appears on the search result.
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Course by
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Self Paced
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3 hours
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English
System Validation (2): Model process behaviour
System Validation is the field that studies the fundamentals of system communication and information processing. It is the next logical step in computer science and improving software development in general. It allows automated analysis based on behavioural models of a system to see if a system works correctly. We want to guarantee that the systems does exactly what it is supposed to do. The techniques put forward in system validation allow to prove the absence of errors.
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Course by
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Self Paced
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5 hours
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English
Data Mining Pipeline
This course introduces the key steps involved in the data mining pipeline, including data understanding, data preprocessing, data warehousing, data modeling, interpretation and evaluation, and real-world applications. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history.
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Course by
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Self Paced
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22 hours
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English
Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
Machine learning. Your team needs it, your boss demands it, and your career loves it. After all, LinkedIn places it as one of the top few "Skills Companies Need Most" and as the very top emerging job in the U.S. If you want to participate in the deployment of machine learning (aka predictive analytics), you've got to learn how it works. Even if you work as a business leader rather than a hands-on practitioner – even if you won't crunch the numbers yourself – you need to grasp the underlying mechanics in order to help navigate the overall project.
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Course by
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Self Paced
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17 hours
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English
Streaming HL7 to FHIR Data with Healthcare API
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will explore some of the features of Cloud Healthcare API (HCAPI) to stream HL7v2 messages into HCAPI datastores and convert HL7v2 to FHIR and import the FHIR data into BigQuery for analytical use.
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Course by
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Self Paced
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1 hour
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English
Research kitchen
The research kitchen is a unique format that we have developed extra for you: curious learners interested in competitive strategy and organization design yearning for a first glimpse into the world of research. It is voluntary and "just for fun" - so please, go on and have a look! Different to other courses of our specialization Competitive Strategy and Organization Design it is comprised of brief paper sessions rather than modules. For a change, you will experience the instructor Tobias Kretschmer at the whiteboard of his very own institute at LMU Munich.
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Course by
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Self Paced
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8 hours
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English
How Do We Manage Climate Change?
In this course, learners will identify the types of actions that we can pursue to address climate change. These actions fall into two broad categories: 1) mitigation, which refers to efforts to reduce greenhouse gas emissions or enhance carbon sinks, and 2) adaptation, which refers to our preparations for climate impacts. We will explore the technologies, programs, and policies related to both mitigation and adaptation. Learners should leave the course with an improved ability to identify and evaluate climate actions undertaken by communities, governments, and businesses.
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Course by
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Self Paced
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6 hours
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English
Deploying a Pytorch Computer Vision Model API to Heroku
Welcome to the “Deploying a Pytorch Computer Vision Model API to Heroku” guided project. Computer vision is one of the prominent fields of AI with numerous applications in the real world including self-driving cars, image recognition, and object tracking, among others. The ability to make models available for real-world use is an essential skill anyone interested in AI engineering should have especially for computer vision and this is why this project exists. In this project, we will deploy a Flask REST API using one of Pytorch's pre-trained computer vision image classification models.
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Course by
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Self Paced
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3 hours
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English
Introduction to Comparative Indo-European Linguistics
Build your knowledge of Indo-European languages, how they changed through time, and how to reconstruct ancient languages. Every language belongs to a language family; a group of languages that are genetically related to each other.
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Course by
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Self Paced
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18 hours
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English
z/OS System Services Structure
This course presents the structure and control blocks of the z/OS BCP and system services. It prepares the new z/OS system programmer to identify potential bottlenecks and performance problems, perform initial error symptom gathering, and identify opportunities and requirements for tailoring an z/OS system. This course also provides prerequisite information needed for further training in specialized areas such as system measurement and tuning and system problem determination.
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Course by
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Self Paced
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10 hours
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English
Personal Leadership Development Planning and Leading High Performing Teams
An actionable leadership improvement plan enables you to leverage strengths and close the gaps on weaknesses. In this course, you will build your own plan that you can put into practice immediately and realize goals within the next two years. It lays the foundation for an evergreen process of selection and prioritization of skills, and action planning for sustained leadership development.
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Course by
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Self Paced
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23 hours
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English
Microsoft Azure Machine Learning
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code. This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals.
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Course by
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Self Paced
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11 hours
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English
Build File Utilities with Linux Shell Script
In this 1.5 hour guided project, you will learn about the Linux file system.
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Course by
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Self Paced
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3 hours
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English
Create a Cover Letter with an Envelope using Microsoft Word
After successfully completing this project, you will have created a cover letter and an envelope using Microsoft Word. While composing a cover letter, you will use various features in Word such as headers, styles, and page size. You will also learn how to adjust page margins and use the markers on the ruler. This project is useful for learning the basic features in Word to create a formal block style letter and envelope.
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Course by
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Self Paced
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1 hour
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English
Python Basics: Problem Solving with Code
A lot of code is building up from the most basic primitive elements of the language to increasingly faithful and meaningful things. In this course you will see how to author more complex ideas and capabilities in Python. In technical terms, you will learn dictionaries and how to work with them and nest them, functions, refactoring, and debugging, all of which are also thinking tools for the art of problem solving. We'll use this knowledge to explore our browsing history, interrogate a tweet, and draw pictures.
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Course by
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Self Paced
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12 hours
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English
How To Teach Us
Join High Tech High in this groundbreaking new course that follows the educational experiences of various students in our schools. We will will listen to them as they tell us How To Teach Us.
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Course by
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Self Paced
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6 hours
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English
Financial Risk Management with R
This course teaches you how to calculate the return of a portfolio of securities as well as quantify the market risk of that portfolio, an important skill for financial market analysts in banks, hedge funds, insurance companies, and other financial services and investment firms. Using the R programming language with Microsoft Open R and RStudio, you will use the two main tools for calculating the market risk of stock portfolios: Value-at-Risk (VaR) and Expected Shortfall (ES). You will need a beginner-level understanding of R programming to complete the assignments of this course.
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Course by
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Self Paced
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15 hours
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English
Change Leadership: Strategic Route Analysis with Miro
By the end of this guided project, you will be fluent in creating a change implementation model using Route Analysis for a hands-on example. This will equip you with a systemic implementation framework for change that can be utilised in professional and personal life. Change happens all the time, and in being able to identify factors involved in change and developing a model for how to implement change you increase your chances for success.
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Course by
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Self Paced
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3 hours
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English
Information Visualization: Programming with D3.js
In this course you will learn how to use D3.js to create powerful visualizations for web. Learning D3.js will enable you to create many different types of visualization and to visualize many different data types. It will give you the freedom to create something as simple as a bar chart as well your own new revolutionary technique.
In this course we will cover the basics of creating visualizations with D3 as well as how to deal with tabular data, geography and networks. By the end of this course you will be able to:
- Create bar and line charts
- Create choropleth and symbol maps
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Course by
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Self Paced
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18 hours
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English
Create official appointments using Calendly
Welcome to this project on how to Create official appointments using Calendly.
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Course by
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Self Paced
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3 hours
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English
Cloud Computing Law: Transactions
Have you ever wondered what’s in the small print of cloud contracts? Or who owns the information you upload to the cloud? And who can access and control it? If so, then this course is for you! You’ll learn to identify the legal risks involved in cloud computing transactions - and to suggest possible solutions. To understand how cloud computing works, we’ll first describe different kinds of cloud services and explain how they differ from in-house IT in terms of control, access, and cybersecurity.
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Course by
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Self Paced
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19 hours
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English