Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
Our Courses
Linear SVM Classification(Soft Margin) -using Scikit Learn
Linear SVM Classification(Soft Margin) -using Scikit Learn
-
Course by
-
Self Paced
-
3 hours
-
English
Nuts and Bolts of U.S. Immigration Law
This course begins by exploring short term entry and long term entry into the United States. We will cover the various means of short term entry and long term entry, as well as the general application processes. We will also examine exclusion and deportation in the United States. In particular, we will discuss how and why individuals may not be admitted into the United States and possible reasons for deportation or removal. Lastly, we will cover the process of how to become a United States citizen and the various requirements for naturalization.
-
Course by
-
Self Paced
-
10 hours
-
English
Managing Threat Intelligence with Cortex XSOAR
This is a self-paced lab that takes place in the Google Cloud console. Work on a real life threat hunting scenario to learn how to successfully manage your threat intelligence data with Cortex XSOAR TIM and automate response actions using threat intel management playbooks.
-
Course by
-
Self Paced
-
1 hour
-
English
Causes of Racial Inequity in Healthcare
The second course of the Addressing Racial Health Inequity in Healthcare specialization you will journey through a survey of critical drivers of racial inequities in healthcare. These critical drivers need to be known in order to implement interventions that can achieve health equity.
-
Course by
-
Self Paced
-
15 hours
-
English
Data Manipulation at Scale: Systems and Algorithms
Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.
-
Course by
-
Self Paced
-
20 hours
-
English
Object-Oriented C++: Inheritance and Encapsulation
Code and run your first C++ program in minutes without installing anything!
This course is designed for learners with limited coding experience, providing a solid foundation of not just C++, but core Computer Science topics that can be transferred to other languages. The modules in this course cover inheritance, encapsulation, polymorphism, and other object-related topics. Completion of the prior 3 courses in this specialization is recommended.
-
Course by
-
Self Paced
-
9 hours
-
English
Non-Equilibrium Applications of Statistical Thermodynamics
Course 5 of Statistical Thermodynamics explores three different applications of non-equilibrium statistical thermodynamics.
The first is the transport behavior of ideal gases, with some discussion of transport in dense gases and liquids. It starts with simple estimates of the transport properties of an ideas gas. It then introduces the Boltzmann Equation and describes the Chapman-Enskog solution of that equation in order to obtain the transport properties. It closes with a discussion of practical sources of transport properties.
-
Course by
-
Self Paced
-
8 hours
-
English
Cloud Top Ten Risks
After completing the course, the student should be able to do the following:
● Associate lists of OWASP Top Ten Risks with major cloud cybersecurity risks.
● Apply appropriate cryptographic techniques to secure authentication mechanisms and cloud data.
● Identify the most effective strategies for resisting injection attacks, cross-site scripting attacks, and object deserialization attacks.
● Assess strategies to address risks posed by administrative failures, including misconfiguration, broken access control, vulnerable software components, and security monitoring.
-
Course by
-
Self Paced
-
9 hours
-
English
Transformer Models and BERT Model - בעברית
בקורס הזה נציג את הארכיטקטורה של טרנספורמרים ואת המודל של ייצוגים דו-כיווניים של מקודד מטרנספורמרים (BERT). תלמדו על החלקים השונים בארכיטקטורת הטרנספורמר, כמו מנגנון תשומת הלב, ועל התפקיד שלו בבניית מודל BERT. תלמדו גם על המשימות השונות שאפשר להשתמש ב-BERT כדי לבצע אותן, כמו סיווג טקסטים, מענה על שאלות והֶקֵּשׁ משפה טבעית. נדרשות כ-45 דקות כדי להשלים את הקורס הזה.
-
Course by
-
Self Paced
-
English
Data Platform, Cloud Networking and AI in the Cloud
The Data Platform course aims to establish a strong foundation, and working knowledge of the fundamentals of data, including data mechanics, databases, and other foundational elements of data processing. This course will drill into the specific data management elements including relational taxonomy of data, data lifecycle and fundamentals databases and data processing and analysis. The course also covers the relevance of IA with respect to data in the cloud.
-
Course by
-
Self Paced
-
7 hours
-
English
Visualizing static networks with R
In daily life, our connections with family and friends form our social networks.
-
Course by
-
Self Paced
-
4 hours
-
English
Developments of structural dynamics
This course is devoted to the dynamic implementation of continuous structural elements vs discrete models. The matrix representation and implicit solution of Lagrange’s equation are at the heart of this approach, in the framework of conservative structural systems, with Gaussian modes.
-
Course by
-
Self Paced
-
10 hours
-
English
Guide Project 2: SCI – Sentinel.
Creating a Microsoft Sentinel workspace.…
-
Course by
-
Self Paced
-
English
Simulation of KANBAN Production Control Using R Simmer
Understand Kanban Production Control Model Discrete Event Simulations Using R Simmer Capture Simulation Data, Plot Charts & Interpret Results
-
Course by
-
Self Paced
-
3 hours
-
English
Performing Real Time Analytics with Stream Analytics
In this 1-hour long project-based course, you will learn how to (stream and process events with Azure Stream Analytics, data Ingestion with Event Hubs, processing data with Stream Analytics Jobs).
-
Course by
-
Self Paced
-
3 hours
-
English
Simulation Skills: This is Your Brain on the Future
Do you want to learn how to simulate the future more creatively and more effectively? This course is for you.
-
Course by
-
Self Paced
-
13 hours
-
English
Introduction to Web Applications
Students start by learning about the HyperText Markup Language (HTML) and basic rules for creating compliant HTML. They learn tags for creating web pages and formatting text on the page including lists and special characters. Students will learn how to embed images, video and audio in web pages and format information in tables. They will learn to create hyperlinks, and to use text and images for hyperlinks including creating image maps. Students will also create HTML forms to collect user information.
-
Course by
-
Self Paced
-
21 hours
-
English
Visualizing & Communicating Results in Python with Jupyter
Code and run your first Python program in minutes without installing anything!
This course is designed for learners with limited coding experience, providing a foundation for presenting data using visualization tools in Jupyter Notebook. This course helps learners describe and make inferences from data, and better communicate and present data.
-
Course by
-
Self Paced
-
11 hours
-
English
Logistic Regression with Python and Numpy
Welcome to this project-based course on Logistic with NumPy and Python.
-
Course by
-
Self Paced
-
4 hours
-
English
Creating a Data Warehouse Through Joins and Unions
This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to create new reporting tables using SQL JOINS and UNIONs.
-
Course by
-
Self Paced
-
1 hour
-
English
Opportunity Management in Salesforce
The third course in the Salesforce Sales Operations Professional Certificate, Opportunity Management in Salesforce, is for anyone who is curious about entry level sales roles that require foundational skills in Salesforce, the sales operations specialist role specifically, and how to use tools in Salesforce to manage opportunities and close sales deals in a real world business setting.
-
Course by
-
Self Paced
-
29 hours
-
English
Foundations of Teaching for Learning: Curriculum
The Foundations of Teaching for Learning programme is for anyone who is teaching, or who would like to teach, in any subject and any context - be it at school, at home or in the workplace. With dynamic lessons taught by established and respected professionals from across the Commonwealth, this eight course programme will see you develop and strengthen your skills in teaching, professionalism, assessment, and more. As you carry on through the programme, you will find yourself strengthening not only your skills, but your connection with colleagues across the globe.
-
Course by
-
Self Paced
-
11 hours
-
English
Getting Started with Microsoft PowerPoint
By the end of this project, you will learn the functions and features of the free online version of Microsoft PowerPoint.
-
Course by
-
Self Paced
-
4 hours
-
English
Create professional mockups on Moqups
During this project, you will be able to discover Moqups, a website that will allow you to create professional mockups, quickly and easily.
-
Course by
-
Self Paced
-
3 hours
-
English
Identify Damaged Car Parts with Vertex AutoML Vision
This is a self-paced lab that takes place in the Google Cloud console.
Vertex AI brings together the Google Cloud services for building ML under one, unified UI and API. In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in one central model repository. These models can now be deployed to the same endpoints on Vertex AI.
-
Course by
-
Self Paced
-
2 hours
-
English