Microsoft Teams Meetings bring project teams together, empowering them to collaborate and work more efficiently. With a shift towards hybrid and remote work, Microsoft Teams Meetings lets you schedule and manage meetings with your project teams and external users while maintaining security and regulatory compliance.

This module provides an overview of Microsoft Teams communication and collaboration options: Teams phones, auto attendants, call queues, meeting room devices, and different meetings types. It covers the benefits and limitations of Teams Phone, while also highlighting the importance of Teams devices in modern workplaces.

Identify business problems that can be addressed by using the advanced features of Microsoft Teams Premium. Explore watermarking, custom backgrounds, webinars, how you can use sensitivity labels, policies, and templates.

This Free Online Course Includes: 3-4 Hours of Learning CPD Accreditation Final Assessment

This course is focused on using the flexibility and “ease of use” of TensorFlow 2.x and Keras to build, train, and deploy machine learning models. You will learn about the TensorFlow 2.x API hierarchy and will get to know the main components of TensorFlow through hands-on exercises. We will introduce you to working with datasets and feature columns. You will learn how to design and build a TensorFlow 2.x input data pipeline. You will get hands-on practice loading csv data, numPy arrays, text data, and images using tf.Data.Dataset. You will also get hands-on practice creating numeric, categorical, bucketized, and hashed feature columns. We will introduce you to the Keras Sequential API and the Keras Functional API to show you how to create deep learning models. We’ll talk about activation functions, loss, and optimization. Our Jupyter Notebooks hands-on labs offer you the opportunity to build basic linear regression, basic logistic regression, and advanced logistic regression machine learning models. You will learn how to train, deploy, and productionalize machine learning models at scale with Cloud AI Platform.

Learn the essentials of Tensorflow from ground up

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

This module provides all the concepts and practical knowledge you need to get started with TensorFlow. We explore Keras, a high-level API released as part of TensorFlow, and use it to build a simple neural network for image classification.

Master the principles of Test-Driven Development (TDD) and Behavior-Driven Development (BDD). Learn how to write effective unit tests and behavior tests to ensure software quality, and explore tools like JUnit, Cucumber, and Gherkin to automate testing in your development process.

Do you want to know how you can write your own unit tests with AL language? Do you want to know how you can test your own extension? This module provides you with an introduction to test automation.

The easiest and most pleasant way to get started with unit testing, JUnit, and Test Driven Development (TDD) that you could imagine.

Analyze text data in R using the tidy framework.