1236 Related Courses

Kotlin Fundamentals: Domain Specific Languages
This course provides an in-depth exploration of Kotlin fundamentals, focusing on Domain Specific Language (DSL) development. Through this course, learners will gain a comprehensive understanding of Kotlin and be able to write sophisticated code with an elegant language-like syntax.

Building Alteryx Apps and Macros
Alteryx Apps and Macros can help streamline workflows, reduce manual updating of values, and simplify the use of multiple tools. Make your life easier with these powerful tools.

Building Cross-platform Mobile Apps in C# with Xamarin and Azure
Learn how to use C# and Xamarin to create a cross-platform mobile application with a cloud-hosted back-end, utilizing Azure. This course will teach you how to build a rich application with login, push notifications, and code reuse.

Extended Reality (XR) and the Metaverse: Executive Briefing
This course provides an executive briefing on Extended Reality (XR) and the Metaverse, exploring the terminology, current and upcoming devices, and how XR is being used today and where it is headed in the future.

Using Deductive Reasoning in Decision Making
This course provides an introduction to the language of logic and deductive reasoning, equipping learners with the skills to make informed decisions. Through the exploration of logical principles, participants will gain the knowledge needed to make sound decisions.

Android Apps with Kotlin: RecyclerView and Navigation Drawer
This course teaches the fundamentals of using RecyclerView and navigation drawer to create Android apps with Kotlin. Participants will gain the skills necessary to provide a rich data display and easy-to-use navigation for their Android apps.

Recommendation Systems with TensorFlow on GCP
This course provides an introduction to building recommendation systems with TensorFlow on Google Cloud Platform. Students will learn to use classification models and embeddings to create a machine learning pipeline that functions as a recommendation engine.

Getting Started with Apache Spark on Databricks
This course provides an introduction to Apache Spark on Azure Databricks, covering topics such as Spark transformations, actions, visualizations, and functions. Participants will gain hands-on experience with big data processing and analytical queries.

Getting Started with Microsoft Azure Computer Vision API
This course provides an introduction to Microsoft Azure's Computer Vision API, demonstrating how to use its advanced algorithms to process images and extract visual features. Learn how to leverage these capabilities to benefit your organisation.

Alteryx Developer Tools Playbook
This course provides a comprehensive exploration of the Alteryx Designer developer tool palette, including dynamic, validation, testing, API and scripting tools. Participants will gain an understanding of how to use each of these tools to maximize their data professional capabilities.

Microsoft Azure Cognitive Services: Computer Vision API
Microsoft Azure Cognitive Services offers a powerful Computer Vision API, allowing users to extract information from images and gain insights into their content. This state-of-the-art service provides a comprehensive set of tools for analyzing images.

Image Understanding with TensorFlow on GCP
This course provides an overview of strategies for building an image classifier using convolutional neural networks on Google Cloud Platform. Participants will learn how to improve accuracy with augmentation, feature extraction, and hyperparameter tuning, as well as how to address practical issues such as data scarcity. Through hands-on labs, participants will gain experience building and optimizing image classification models on public datasets.

Defensive Coding in Java
This course teaches Java developers how to use defensive coding techniques to create more secure and reliable code. Learn how to prevent and catch bugs early to ensure your code is robust and reliable.

Implementing Multi-layer Neural Networks with TFLearn
This course provides an introduction to deep learning and TFLearn, allowing learners to quickly build and deploy multi-layer neural networks. With the help of Tensorflow and TFLearn, learners will gain the skills to create and implement their own neural networks.

Deploying TensorFlow Models to AWS Azure and the GCP
This course provides an overview of how to deploy TensorFlow models to the cloud platforms of Azure, AWS, and GCP. Learn how to take your TensorFlow model and deploy it locally or to the cloud of your choice.

Kotlin Coroutines: Getting Started
This course provides an introduction to Kotlin Coroutines, covering the fundamentals of suspending functions and how to use them in application development. Learners will gain the skills needed to build applications with Kotlin.

COBOL Big Picture
This course provides an overview of the COBOL language, its use on the mainframe, and the career opportunities available in the industry. Additionally, learners will gain insight into the COBOL ecosystem, including Db2 databases and CICS transaction systems.

Designing Data Pipelines with TensorFlow 20
This course explores the tf.data module, a unified interface for managing data pipelines in TensorFlow 2.0. Participants will learn how to use this module to simplify and streamline their data pipelines.

Build Your First Data Visualization with Alteryx
This course provides an introduction to Alteryx, a powerful data analytics software, and teaches users how to create a simple and impactful data visualization. Learn how to connect and transform your data to bring your data story to life.

Introduction to the Linux Essentials 010-160 Exam
Get a comprehensive overview of Introduction to the Linux Essentials 010-160 Exam

Building and Orchestrating Containers with Docker Compose
This course provides an introduction to Docker Compose, a tool for building and orchestrating multiple containers. Learn how to increase productivity when creating custom images and managing multiple containers with Docker Compose.

Exploring Partnering with Tech Leads
This course provides an in-depth exploration of how to effectively partner with a technical lead to maximize the potential of an engineering team and create the desired product. Learn how to foster a successful collaboration between the Product Manager and Technical Lead.

End-to-End Machine Learning with TensorFlow on GCP
This course provides an in-depth exploration of End-to-End Machine Learning with TensorFlow on Google Cloud Platform. Participants will learn to build an end-to-end model from data exploration to deploying an ML model and obtaining predictions.

Implementing Predictive Analytics with TensorFlow
This course provides an introduction to predictive analytics using TensorFlow, a popular open-source library for data science and machine learning. Participants will learn the fundamentals of supervised learning, recommendation, and reinforcement systems, enabling them to build powerful predictive models.

Alteryx Fundamental Tools Playbook
This course provides an in-depth look at the fundamental tools of Alteryx Designer, with over 40 hands-on tool demos to help data professionals build and enhance their knowledge. Learn how to use each of the tools in the most common tool palettes to maximize the power of Alteryx.

Building Cross Platform Mobile Apps with C# Xamarin and Azure
This course teaches developers how to use C#, Xamarin, and Azure to create a cross-platform mobile application with a cloud-hosted back-end. Students will learn how to use these tools to quickly build an app with login, push notifications, and code reuse. By the end of the course, developers will have the skills to create a fully functional mobile application.

Recommendation Systems with TensorFlow on Google Cloud
In this course, learners will use TensorFlow and Google Cloud to build a recommendation system. Through the use of classification models and embeddings, learners will create a machine learning pipeline to create a powerful recommendation engine. This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.

Data Manipulation with Alteryx
This course provides an introduction to Alteryx, a data manipulation tool, and its common functions to help users optimize their data for further analysis. Learn how to use Alteryx to enhance the effectiveness of your data.

Getting Started with Kotlin
This course provides an overview of the Kotlin language, enabling developers to quickly get up and running with creating applications. Through hands-on exercises, participants will gain the necessary skills to start developing with Kotlin.

Kotlin Coroutine Channels and Flows
This course provides an introduction to Kotlin Coroutine Channels and Flows, demonstrating how to use them to compose asynchronous programs. Participants will gain a comprehensive understanding of the fundamentals of this powerful tool.

Building Machine Learning Solutions with TensorFlowjs
This course teaches developers how to use TensorFlow.js to create, train, and deploy machine learning and deep learning models in JavaScript. Participants will gain the skills to power client-side and server-side applications with machine learning, enabling them to build powerful machine learning solutions.

Data Preparation for Analysis with Alteryx
This course provides an introduction to Alteryx, a powerful data preparation tool, and its common functions for cleansing data to improve its effectiveness for analysis. Learn how to use Alteryx to access and prepare your data for further analysis.

Build an Object Detection Model with Python
This course provides an in-depth guide to building an object detection model with Python. Learn how to create a model that can be used in everyday tasks, from start to finish.

Implement Image Recognition with a Convolutional Neural Network
This course provides an introduction to convolutional neural networks and how they can be used to implement image recognition and classification. Participants will learn how to tune and apply these networks to a business case, allowing them to take advantage of the many applications of image recognition in their daily lives.

Building Web Applications in Kotlin Using Ktor
Ktor is a lightweight, extensible framework written in Kotlin that enables developers to build scalable web services and clients on the JVM. It utilizes coroutines to provide an asynchronous programming model that is easy to test and use.

Delivering Your Product to Market
This course provides an in-depth look at the process of delivering a product to market, from defining value to capturing context for future development. It explores the Agile team's journey to bring their product to life and the importance of "shipping" their work.

Exploring Strategy & Vision
This course provides an in-depth exploration of strategy and vision, guiding participants through the process of creating a product roadmap and strategy that aligns with their business goals. Participants will gain the skills to build products that meet customer needs and achieve their business objectives.

Developing Android Applications with Kotlin: The Big Picture
This course provides an overview of the process of developing Android applications with Kotlin, the preferred language for Android development. It covers the big picture of building an Android application, from understanding the market to creating the application.

RPA & Workflow Automation: Executive Briefing
Discover the fundamentals of RPA & Workflow Automation: Executive Briefing

Android Apps with Kotlin: Notifications and App Widgets
Explore the essentials of Android Apps with Kotlin: Notifications and App Widgets

Forecasting for Agile Teams
This course provides an introduction to forecasting for agile teams using Microsoft Excel's built-in statistical functions. Participants will learn how to create sprint and release forecasts, assess and improve forecast accuracy, and share forecasts with stakeholders.

Java Fundamentals: Asynchronous Programming Using CompletionStage
This course provides an in-depth exploration of the CompletionStage API, allowing developers to create efficient asynchronous data processing pipelines with thread control and error recovery. Learn the fundamentals of asynchronous programming with Java.

Android FirebaseUI Authentication with Kotlin
The FirebaseUI Authentication library simplifies the process of creating a secure, scalable, and reliable authentication system for Android apps written in Kotlin. With FirebaseUI, developers can quickly and easily implement authentication into their projects.

Build a Machine Learning Workflow with Keras TensorFlow 20
This course provides an introduction to building a machine learning workflow with Keras and TensorFlow 2.0. It covers the use of sequential APIs, functional APIs, model subclassing, and custom layers to create complex models.

Computer Vision Fundamentals with Google Cloud
This course provides an overview of computer vision fundamentals and explores how to use Google Cloud to implement machine learning strategies for various computer vision use cases. Learn how to apply the latest technologies to solve real-world problems.

Delivering Value Quickly with ICAgile
This course provides the necessary skills to become an ICAgile Certified Professional Agile Fundamentals. Participants will learn how to apply agile principles and best practices to ensure frequent delivery of value to stakeholders.

Developing Android Applications with Kotlin: Custom Views Playbook
This course provides an introduction to developing Android applications with Kotlin, focusing on the creation of custom views. Learn the three foundational techniques for creating any view imaginable and set your app apart from the crowd.

Using Docker on AWS with the Command Line
Learn how to use Docker on AWS with the command line to manage containers using Amazon's ECS, Fargate, EKS, and ECR services. Gain the skills to efficiently run your Docker workloads on AWS.

ES6: The Right Parts
ES6 is a powerful JavaScript language that offers developers the ability to write cleaner and more efficient programs through features such as arrow functions, destructuring, and generators. This guide provides an overview of the essential ES6 features to help developers get up to speed.

Getting Started with Tensorflow 20
This course provides an introduction to TensorFlow 2.0, exploring its features and functionality for building and training neural networks. It covers the differences between TensorFlow 1.x and 2.0, as well as how the Keras high-level API and eager execution make TensorFlow 2.0 easy to use for complex models.




