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	<title>IOT Training &#8211; Renad AL Majed For Training</title>
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	<title>IOT Training &#8211; Renad AL Majed For Training</title>
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		<title>Introduction to IOT : The Transformation of Industries through IOT (Manufacturing) (IOTF)</title>
		<link>https://training.rmg-sa.com/product/introduction-to-iot-the-transformation-of-industries-through-iot-manufacturing-iotf/</link>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Sat, 26 Sep 2020 20:33:07 +0000</pubDate>
				<guid isPermaLink="false">http://mashalib.com/?post_type=product&#038;p=6544</guid>

					<description><![CDATA[This course is designed to enable partners and Account Manager starting a conversation around IoT in the manufacturing industry. Each industry has different challenges and a different market, so the application of and value by IoT will depend on specific vertical knowledge.Students will take away a sound understanding of the challenges in manufacturing, the market economics and drivers, scenarios for IoT in manufacturing, the potential stakeholders within and beyond IT - and primarily how to start a conversation with them.Additionally, students will understand the Cisco IoT portfolio and building blocks based on a case study. Equipped with this knowledge, students are able to approach (new) stakeholders in order to position Cisco IoT and unhide new opportunities.]]></description>
										<content:encoded><![CDATA[This course is designed to enable partners and Account Manager starting a conversation around IoT in the manufacturing industry. Each industry has different challenges and a different market, so the application of and value by IoT will depend on specific vertical knowledge.Students will take away a sound understanding of the challenges in manufacturing, the market economics and drivers, scenarios for IoT in manufacturing, the potential stakeholders within and beyond IT - and primarily how to start a conversation with them.Additionally, students will understand the Cisco IoT portfolio and building blocks based on a case study. Equipped with this knowledge, students are able to approach (new) stakeholders in order to position Cisco IoT and unhide new opportunities.]]></content:encoded>
					
		
		
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		<title>IoT Practice Builder Workshop (IOT-PB-WS)</title>
		<link>https://training.rmg-sa.com/product/iot-practice-builder-workshop-iot-pb-ws/</link>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Sat, 26 Sep 2020 20:33:06 +0000</pubDate>
				<guid isPermaLink="false">http://mashalib.com/?post_type=product&#038;p=6542</guid>

					<description><![CDATA[Digital Transformation and the Internet of Things are creating significant business opportunities for organisations across all industries. Business leaders are recognising the impact of data driven decisions and the value of connecting the unconnected.Fast Lane’s IoT Practice Builder Workshop moves beyond the theory of IoT to providing you with the knowledge and the concrete steps for creating and accelerating sales opportunities.Account Managers, Pre-Sales Engineers and Practice Managers will learn the key business value propositions, how to identify the decision makers and how to build a successful solution sales approach.]]></description>
										<content:encoded><![CDATA[Digital Transformation and the Internet of Things are creating significant business opportunities for organisations across all industries. Business leaders are recognising the impact of data driven decisions and the value of connecting the unconnected.Fast Lane’s IoT Practice Builder Workshop moves beyond the theory of IoT to providing you with the knowledge and the concrete steps for creating and accelerating sales opportunities.Account Managers, Pre-Sales Engineers and Practice Managers will learn the key business value propositions, how to identify the decision makers and how to build a successful solution sales approach.]]></content:encoded>
					
		
		
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		<title>Internet of Things (IoT) Basics (IOT)</title>
		<link>https://training.rmg-sa.com/product/internet-of-things-iot-basics-iot/</link>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Sat, 26 Sep 2020 20:33:06 +0000</pubDate>
				<guid isPermaLink="false">http://mashalib.com/?post_type=product&#038;p=6543</guid>

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		<title>Fundamentals of Scalable Data Science</title>
		<link>https://training.rmg-sa.com/product/fundamentals-of-scalable-data-science/</link>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Sat, 26 Sep 2020 20:33:04 +0000</pubDate>
				<guid isPermaLink="false">http://mashalib.com/?post_type=product&#038;p=6541</guid>

					<description><![CDATA[The value of IoT can be found within the analysis of data gathered from the system under observation, where insights gained can have direct impact on business and operational transformation.Through analysis data correlation, patterns, trends, and other insight are discovered. Insight leads to better communication between stakeholders, or actionable insights, which can be used to raise alerts or send commands, back to IoT devices. With a focus on the topic of Exploratory Data Analysis, the course provides an in-depth look at mathematical foundations of basic statistical measures, and how they can be used in conjunction with advanced charting libraries to make use of the world’s best pattern recognition system – the human brain.Learn how to work with the data, and depict it in ways that support visual inspections, and derive to inferences about the data. Identify interesting characteristics, patterns, trends, deviations or inconsistencies, and potential outliers. The goal is that you are able to implement end-to-end analytic workflows at scale, from data acquisition to actionable insights.Through a series of lectures and exercises students get the needed skills to perform such analysis on any data, although we clearly focus on IoT Sensor Event Data. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.]]></description>
										<content:encoded><![CDATA[The value of IoT can be found within the analysis of data gathered from the system under observation, where insights gained can have direct impact on business and operational transformation.Through analysis data correlation, patterns, trends, and other insight are discovered. Insight leads to better communication between stakeholders, or actionable insights, which can be used to raise alerts or send commands, back to IoT devices. With a focus on the topic of Exploratory Data Analysis, the course provides an in-depth look at mathematical foundations of basic statistical measures, and how they can be used in conjunction with advanced charting libraries to make use of the world’s best pattern recognition system – the human brain.Learn how to work with the data, and depict it in ways that support visual inspections, and derive to inferences about the data. Identify interesting characteristics, patterns, trends, deviations or inconsistencies, and potential outliers. The goal is that you are able to implement end-to-end analytic workflows at scale, from data acquisition to actionable insights.Through a series of lectures and exercises students get the needed skills to perform such analysis on any data, although we clearly focus on IoT Sensor Event Data. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.]]></content:encoded>
					
		
		
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		<title>A developer&#8217;s guide to the Internet of Things (IoT)</title>
		<link>https://training.rmg-sa.com/product/a-developers-guide-to-the-internet-of-things-iot/</link>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Sat, 26 Sep 2020 20:28:18 +0000</pubDate>
				<guid isPermaLink="false">http://mashalib.com/?post_type=product&#038;p=6540</guid>

					<description><![CDATA[The Internet of Things (IoT) is an area of rapid growth and opportunity. Technical innovations in networks, sensors and applications, coupled with the advent of 'smart machines' have resulted in a huge diversity of devices generating all kinds of structured and unstructured data that needs to be processed somewhere.Collecting and understanding that data, combining it with other sources of information and putting it to good use can be achieved by using connectivity, analytical and cognitive services now available on the cloud, allowing development and deployment of solutions to be achieved faster and more efficiently than ever before.This course is an entry level introduction to developing and deploying solutions for the Internet of Things. It will focus on capturing data from a trusted device and sending the data to a cloud platform where it can be exploited by the many services available. You will explore all the steps required to create a basic IoT solution using a popular device, the Raspberry Pi, and a trial version of the cloud-based IBM Watson IoT Platform. What prerequisite skills are required ?This is an entry level course, but does assume you have basic programming skills. The assignments set use both Python and JavaScript programming languages, so some basic skill in these languages is required. No previous experience with IBM Bluemix or the IBM Watson IoT Platform is required.What additional resources do I need for this course? The Server side code for the assignments will use the IBM Cloud platform, so you will need to sign up for a free account on that platform.What technology is required to complete the course? The programming assignments require you to have a Raspberry Pi device - any model of Raspberry Pi with a 40 pin header. The course also uses the SenseHAT extension board, whilst it is preferable to have a SenseHat there is a simulator provided if you can't get a SenseHAT. You will need internet connectivity to download software, connect to the platform, develop and deploy your IoT solution.Your Rasberry Pi will need the latest Rasbian Jessie OS. This OS will be on a Micro SD Card. The recommended size of the SD card is 8GB but 4GB will do. Note that the learner kit comes with a preconfigured SD card.In order to setup the Micro SD card, you will need a computer with either a windows, apple or Linux OS. Since most computer do not have a micro SD port, you will need a Micro SD adapter or USB Micro SD card adapter. Your computer will also be used when working on the platform.To work on your Raspberry Pi, you will need an HDMI monitor or TV to work as the display for the Raspberry Pi (DVI monitor will also work). To connect the monitor to the Raspberry Pi you will need an HDMI cable (or a DVI to HDMI cable).Your Raspberry Pi needs a way to connect to the internet; either an Ethernet cable for connecting to the Router, or a USB WiFi dongle if you have wireless connectivity. Note that the Raspberry Pi 3 includes built-in WiFiA USB Keyboard and mouse.Your Raspberry Pi will also needs a 5V micro USB power supply i(This may be a phone charger for example)There is an IoT Learner kit available from element14 which includes the Raspberry Pi, a pre-flashed SD card, a case and power supply]]></description>
										<content:encoded><![CDATA[The Internet of Things (IoT) is an area of rapid growth and opportunity. Technical innovations in networks, sensors and applications, coupled with the advent of 'smart machines' have resulted in a huge diversity of devices generating all kinds of structured and unstructured data that needs to be processed somewhere.Collecting and understanding that data, combining it with other sources of information and putting it to good use can be achieved by using connectivity, analytical and cognitive services now available on the cloud, allowing development and deployment of solutions to be achieved faster and more efficiently than ever before.This course is an entry level introduction to developing and deploying solutions for the Internet of Things. It will focus on capturing data from a trusted device and sending the data to a cloud platform where it can be exploited by the many services available. You will explore all the steps required to create a basic IoT solution using a popular device, the Raspberry Pi, and a trial version of the cloud-based IBM Watson IoT Platform. What prerequisite skills are required ?This is an entry level course, but does assume you have basic programming skills. The assignments set use both Python and JavaScript programming languages, so some basic skill in these languages is required. No previous experience with IBM Bluemix or the IBM Watson IoT Platform is required.What additional resources do I need for this course? The Server side code for the assignments will use the IBM Cloud platform, so you will need to sign up for a free account on that platform.What technology is required to complete the course? The programming assignments require you to have a Raspberry Pi device - any model of Raspberry Pi with a 40 pin header. The course also uses the SenseHAT extension board, whilst it is preferable to have a SenseHat there is a simulator provided if you can't get a SenseHAT. You will need internet connectivity to download software, connect to the platform, develop and deploy your IoT solution.Your Rasberry Pi will need the latest Rasbian Jessie OS. This OS will be on a Micro SD Card. The recommended size of the SD card is 8GB but 4GB will do. Note that the learner kit comes with a preconfigured SD card.In order to setup the Micro SD card, you will need a computer with either a windows, apple or Linux OS. Since most computer do not have a micro SD port, you will need a Micro SD adapter or USB Micro SD card adapter. Your computer will also be used when working on the platform.To work on your Raspberry Pi, you will need an HDMI monitor or TV to work as the display for the Raspberry Pi (DVI monitor will also work). To connect the monitor to the Raspberry Pi you will need an HDMI cable (or a DVI to HDMI cable).Your Raspberry Pi needs a way to connect to the internet; either an Ethernet cable for connecting to the Router, or a USB WiFi dongle if you have wireless connectivity. Note that the Raspberry Pi 3 includes built-in WiFiA USB Keyboard and mouse.Your Raspberry Pi will also needs a 5V micro USB power supply i(This may be a phone charger for example)There is an IoT Learner kit available from element14 which includes the Raspberry Pi, a pre-flashed SD card, a case and power supply]]></content:encoded>
					
		
		
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