In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure. You will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. This is the third course in a program of five courses to help prepare you to take the Exam DP-900: Microsoft Azure Data Fundamentals, so that you can demonstrate that you have a foundational knowledge of the core database concepts in a cloud environment. This course is ideal for IT professionals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure with a view to taking up roles as Data Engineers and Database Administrators. It is also suitable for working database professionals looking for additional skills or credentials to showcase expertise in a cloud environment and IT professionals looking to specialize in the specific area of Azure data. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data. It is an advantage to have experience using a web browser, familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet, and visualizing data using charts.

In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure. You will explore the processing options available for building data analytics solutions in Azure. You will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. This is the fourth course in a program of five courses to help prepare you to take the Exam DP-900: Microsoft Azure Data Fundamentals. so that you can demonstrate that you have a foundational knowledge of the core database concepts in a cloud environment. This course is ideal for IT professionals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure with a view to taking up roles as Data Engineers and Database Administrators. It is also suitable for working database professionals looking for additional skills or credentials to showcase expertise in a cloud environment and IT professionals looking to specialize in the specific area of Azure data. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data. It is an advantage to have experience using a web browser, familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet, and visualizing data using charts.

This course covers Expressions, Prototype Pollution and Ecosystem Modules (npm) and Supply Chain.

In this 1-hour long project-based course, you will have hands-on experience with AWS Elastic Container Registry (AWS ECR) using AWS CLI. Amazon Elastic Container Registry (ECR) is a fully managed container registry that makes it easy to store, manage, share, and deploy your container images and artifacts anywhere. Amazon ECR eliminates the need to operate your own container repositories or worry about scaling the underlying infrastructure. Amazon ECR hosts your images in a highly available and high-performance architecture, allowing you to reliably deploy images for your container applications. You can share container software privately within your organization or publicly worldwide for anyone to discover and download. By completing the steps in this guided project, you will successfully learn how to push and pull and docker images to and from the AWS Elastic Container Registry within the AWS Free Tier. Note: To avoid distraction for set up during the course, we would recommend that you create an Amazon AWS account beforehand. Amazon AWS provides a free tier option for 1 year & the course materials will utilize services that fall under the free tier option.

Almost every organization uses computer networks to share their information and to support their business operations. When we allow network access to data it is exposed to threats from inside and outside of the organization. This course examines the threats associated with using internal and external networks and how to manage the protection of information when it’s accessible via networks. In this course, a learner will be able to: ● Describe the threats to data from information communication technology (ICT) ● Identify the issues and practices associated with managing network security ● Identify the practices, tools, and methodologies associated with assessing network security ● Describe the components of an effective network security program

This lab illustrates a VM-Series in IDS (Intrusion Detection System) mode using the Google Cloud Packet Mirroring solution.

In this Project, we would be creating some visualizations with Altair Python library and you will learn how to manipulate, interact with and save those charts.

Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data. This course will be very useful to senior undergraduate and graduate students as well as engineers who are working in the industry. This course aims at introducing the general concepts and architecture of IoT applications, networking technologies involved, IoT development kits including Arduino, Raspberry Pi, Samsung ARTIK, and how to program them. This course will be offered in English. Subtitles/captions in both of English and Korean will be also provided. IoT (Internet of Things, 사물인터넷)는 최근 중요한 정보통신기술로 주목 받고 있으며 센서/ 제어기, 통신 네트워크, 서버 플랫폼, 데이터 분석, 스마트 앱 등의 컴퓨터공학 기술들이 융합된 기술입니다. IoT는 인공지능, 빅데이터와 함께, 4차산업혁명의 3대 핵심 기술 중 하나로 손꼽히고 있습니다. 본 강좌는 현재 대학에서 공부를 하고 있는 학부 3-4학년 및 대학원생들에게 뿐만 아니라 현장의 개발자, 엔지니어들에게도 도움이 될 거라 믿습니다. IoT의 개념부터 아키텍처, 네트워크기술들을 소개하고 IoT 앱들을 개발할 때 많이 사용되는 Arduino, Raspberry Pi와 삼성전자의 ARTIK 플랫폼을 소개합니다. 본 과목은 영어로 진행되며, 영문과 한글 자막을 제공합니다.

This course is designed to teach you the basic skills required to write programs using the REXX language in z/OS. The course covers the TSO extensions to REXX and interaction with other environments such as the MVS console, running REXX in batch jobs, and compiling REXX. A total of 11 hands-on labs on an IBM Z server (via remote Skytap access) are part of this course. O​n successful completion of the course, learners can earn theor badge. Details here- https://www.credly.com/org/ibm/badge/ibm-z-os-rexx-programming

SAP Technology Consultant Hands-on Project is the sixth course in the SAP Technology Consultant Professional Certificate program. This is your opportunity to put the knowledge and skills you have gained over the previous five courses into practice. This fun and interesting project is a high-level challenge based on a real-world problem. You’ll identify key players in the proposed project and take the necessary steps to understand their current technical landscape. You’ll identify their business requirements and develop a solution proposal. Once you’ve obtained sign off from the customer, you’ll then identify the key technology elements you need to cover and assess the stakeholders and other SAP professionals you’ll be working with. You’ll work on and present your design, including your assumptions, proposed recommendations, and other considerations. Then you’ll implement your proposed solution and complete QA/testing activities. And finish off by creating a Post-Implementation Review Report documenting the lessons learnt and the future roadmap. Overall, this project presents an ideal opportunity to gain experience in assessing the digital transformation drivers in a real-life situation. By the end of this project, you will be able to: Review, understand and respond to a customer implementing a new SAP solution. Complete typical technology consultant project tasks for each SAP lifecycle phase. Develop and present selected technology consultant project deliverables. Compare course project work against provided best practice examples and identify gaps or opportunities for development.