22 Educators providing Inventor courses

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Step into innovation and technology with our groundbreaking course, 'Arduino Interfacing with Sensors in Your Smartphone.' Embark on a journey where creativity meets functionality as you harness the power of Arduino to connect sensors to your smartphone seamlessly. From the thrill of setting up your hardware and software to crafting custom Android apps without coding, this course promises to unlock endless possibilities in mobile technology. Discover the essential components needed to kickstart your Arduino adventure, from hardware requirements to navigating the intricacies of MIT App Inventor. Dive deep into the realms of mobile app development as you explore the Designer and Blocks Editor, laying the foundation for your foray into creating intuitive mobile apps. With our guidance, even those with zero coding experience can craft innovative applications that effortlessly bridge the gap between Arduino and smartphones. Unlock the potential of sensors as you delve into the world of proximity, accelerometer, gyroscope, and magnetometer sensors. Learn how to read analogue sensor data with Arduino and translate it into interactive mobile experiences. Whether you're a budding technologist, a hobbyist seeking to expand your skills, or an entrepreneur with a vision for innovative mobile solutions, this course equips you with the tools and knowledge to turn your ideas into reality. Learning Outcomes: Understand the hardware and software requirements for interfacing Arduino with smartphones. Master MIT App Inventor to design and develop custom Android apps for Arduino projects. Explore various sensors, including proximity, accelerometer, gyroscope, and magnetometer. Learn to create mobile apps without coding, integrating Arduino seamlessly. Gain proficiency in reading analogue sensor data and controlling Arduino remotely via smartphones. Highlights of the Arduino Interfacing with Sensors in Your Smartphone : Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Arduino Interfacing with Sensors in Your Smartphone Course for? Tech enthusiasts eager to explore Arduino and smartphone integration. Hobbyists looking to expand their knowledge in mobile app development. Entrepreneurs seeking to develop innovative mobile solutions. Students interested in learning about sensor interfacing and mobile technology. Engineers and developers aiming to enhance their skills in IoT and mobile connectivity. How is the course assessed? To successfully complete the course you must pass an automated, multiple-choice assessment. The assessment is delivered through our online learning platform. You will receive the results of your assessment immediately upon completion. Will I receive a certificate of completion? Upon successful completion, you will qualify for the UK and internationally-recognised certification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hardcopy Certificate for £15. Requirements The Arduino Interfacing with Sensors in Your Smartphone is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16. Career Path Mobile App Developer: £25,000 - £70,000 per annum IoT Engineer: £30,000 - £65,000 per annum Software Engineer: £25,000 - £70,000 per annum Electronics Engineer: £25,000 - £55,000 per annum Embedded Systems Developer: £30,000 - £70,000 per annum Technology Consultant: £35,000 - £80,000 per annum Course Curriculum Introduction and Getting Started Introduction 00:03:00 Hardware and Software Requirements Hardware and Software Requirements 00:02:00 Download and Install MIT App Inventor 00:10:00 Download and Install Arduino Pro IDE 00:09:00 Setting Up App Inventor What is App Inventor 00:02:00 Designer and Blocks Editor MIT App Inventor User Interface Explained 00:04:00 First Mobile App to Control Arduino Make your first Mobile App - Blink LED 00:15:00 Code your Arduino - Blink LED 00:05:00 Proximity Sensor Proximity Sensor Mobile App 00:14:00 Light Sensor Mobile App and Arduino Code 00:13:00 Practical Testing 00:03:00 Accelerometer Sensor Accelerometer Sensor Mobile App 00:14:00 Coding Accelerometer Sensor 00:05:00 Gyroscope Sensor Gyroscope Sensor Mobile App and Arduino Code 00:06:00 Magnetometer Sensor Magnetometer Sensor Mobile App and Arduino Code 00:05:00 Make Android App With Zero Experience MIT App Inventor Introduction uuuu 00:03:00 What can you do and system requirements 00:03:00 What is app inventor in More Details 00:02:00 Java Vs App Inventor 00:03:00 Why using App Inventor 00:01:00 App Architecture 00:05:00 Let's Start Making Apps 00:05:00 First App Add Items and Start Programming with Blocks 00:10:00 First App Testing and Running the App using Emulator 00:13:00 Resources you need to visit to Create Better Apps 00:02:00 How to Create a website for your app for free and take credit for it 00:05:00 Android Apps for Arduino with MIT App Inventor without Coding Introduction 00:03:00 App Inventor Overview 00:04:00 An App Challenge 00:01:00 System Requirements 00:01:00 AppInventor Vs Java and C 00:03:00 Why App Inventor Works 00:02:00 App Architecture 00:05:00 Download and Install App Inventor on Your Device 00:09:00 AppInventor UserInterface With Example 00:14:00 Arduino Coding for Led On Off Practical Example 00:09:00 Making an Android App for Led On Off Practical Example 00:12:00 Testing On Off App with Arduino 00:07:00 Make a Login Protected Led Control App 00:14:00 Slider Application to Control Led Brightness 00:15:00 Slider Practical 00:09:00 Practical Connect Bluetooth Module 00:05:00 RGB Led Controller Android Application 00:14:00 RGB LED Arduino Coding 00:12:00 Sensor Readings Arduino Coding 00:09:00 Sensor Readings Android Application 00:17:00 LCD Text Arduino Coding 00:09:00 LCD Text Android Application 00:06:00 Remote Controlled Robot Android Application 00:09:00 Remote Controlled Robot Arduino Coding 00:15:00 Make Money with MIT App Inventor Apps 00:05:00 Reading Analog Sensor with Arduino Introduction 00:02:00 How to read analogue sensors using Arduino 00:02:00 Software Requirements 00:04:00 Wiring Analog Sensors to Arduino 00:09:00 Writing code to collect reading from analogue sensors 00:07:00 Practical Analogue Sensor Testing 00:03:00 Analyse and convert Sensor Reading 00:03:00 Manipulating Sensors Reading 00:06:00 ADC in Arduino Explained 00:14:00

About this training course Gas-lift is one of the predominant forms of artificial lift used for lifting liquids from conventional, unconventional, onshore and offshore assets. Gas-lift and its various forms (intermittent lift, gas-assisted plunger lift) allows life of well lift-possibilities when selected and applied properly. This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts. This training course covers main components such as application envelope, relative strengths and weaknesses of gas-lift and its different forms like intermittent lift, gas-assisted plunger lift. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the fundamental theories and procedures related to Gas-Lift operations Easily recognize the different components of the gas-lift system and their basic structural and operational features Be able to design a gas-lift installation Comprehend how digital oilfield tools help address ESP challenges Examine recent advances in real-time approaches to the production monitoring and lift management Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about implications of gas-lift systems for their fields and reservoirs Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

About this training course Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Understanding of these important production concepts is a must have to exploit the existing assets profitably. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses Easily recognize the different components from downhole to the surface and their basic structural and operational features Design and analyze different components using appropriate software tools Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization Learn about use cases of Machine learning and artificial intelligence in the artificial lift Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course. Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Elevate your knowledge in gas lift design optimization with EnergyEdge's classroom training. Join us to stay ahead in the industry!

Enhance oilfield production with our Artificial Lift and Real-Time Production Optimization course. Join EnergyEdge's classroom training for expert insights.

Enhance your skills in data analytics for artificial lift production and facility engineering with EnergyEdge's course. Sign up now!

Duration 5 Days 30 CPD hours This course is intended for The Microsoft 365 Endpoint Administrator is responsible for deploying, configuring, securing, managing, and monitoring devices and client applications in a corporate setting. Their duties include managing identity, access, policies, updates, and apps. They work alongside the M365 Enterprise Administrator to develop and execute a device strategy that aligns with the requirements of a modern organization. Microsoft 365 Endpoint Administrators should be well-versed in M365 workloads and possess extensive skills and experience in deploying, configuring, and maintaining Windows 11 and later, as well as non-Windows devices. Their role emphasizes cloud services over on-premises management technologies. In this course, students will learn to plan and execute an endpoint deployment strategy using contemporary deployment techniques and implementing update strategies. The course introduces essential elements of modern management, co-management approaches, and Microsoft Intune integration. It covers app deployment, management of browser-based applications, and key security concepts such as authentication, identities, access, and compliance policies. Technologies like Microsoft Entra ID, Azure Information Protection, and Microsoft Defender for Endpoint are explored to protect devices and data. Prerequisites The Modern Desktop Administrator must be familiar with M365 workloads and must have strong skills and experience of deploying, configuring, and maintaining Windows 11 and later, and non-Windows devices. 1 - Explore the Enterprise Desktop Examine benefits of modern management Examine the enterprise desktop life-cycle model Examine planning and purchasing Examine desktop deployment Plan an application deployment Plan for upgrades and retirement 2 - Explore Windows Editions Examine Windows client editions and capabilities Select client edition Examine hardware requirements 3 - Understand Microsoft Entra ID Examine Microsoft Entra ID Compare Microsoft Entra ID and Active Directory Domain Services Examine Microsoft Entra ID as a directory service for cloud apps Compare Microsoft Entra ID P1 and P2 plans Examine Microsoft Entra Domain Services 4 - Manage Microsoft Entra identities Examine RBAC and user roles in Microsoft Entra ID Create and manage users in Microsoft Entra ID Create and manage groups in Microsoft Entra ID Manage Microsoft Entra objects with PowerShell Synchronize objects from AD DS to Microsoft Entra ID 5 - Manage device authentication Describe Microsoft Entra join Examine Microsoft Entra join prerequisites limitations and benefits Join devices to Microsoft Entra ID Manage devices joined to Microsoft Entra ID 6 - Enroll devices using Microsoft Configuration Manager Deploy the Microsoft Configuration Manager client Monitor the Microsoft Configuration Manager client Manage the Microsoft Configuration Manager client 7 - Enroll devices using Microsoft Intune Manage mobile devices with Intune Enable mobile device management Explain considerations for device enrollment Manage corporate enrollment policy Enroll Windows devices in Intune Enroll Android devices in Intune Enroll iOS devices in Intune Explore device enrollment manager Monitor device enrollment Manage devices remotely 8 - Execute device profiles Explore Intune device profiles Create device profiles Create a custom device profile 9 - Oversee device profiles Monitor device profiles in Intune Manage device sync in Intune Manage devices in Intune using scripts 10 - Maintain user profiles Examine user profile Explore user profile types Examine options for minimizing user profile size Deploy and configure folder redirection Sync user state with Enterprise State Roaming Configure Enterprise State Roaming in Azure 11 - Execute mobile application management Examine mobile application management Examine considerations for mobile application management Prepare line-of-business apps for app protection policies Implement mobile application management policies in Intune Manage mobile application management policies in Intune 12 - Deploy and update applications Deploy applications with Intune Add apps to Intune Manage Win32 apps with Intune Deploy applications with Configuration Manager Deploying applications with Group Policy Assign and publish software Explore Microsoft Store for Business Implement Microsoft Store Apps Update Microsoft Store Apps with Intune Assign apps to company employees 13 - Administer endpoint applications Manage apps with Intune Manage Apps on non-enrolled devices Deploy Microsoft 365 Apps with Intune Additional Microsoft 365 Apps Deployment Tools Configure Microsoft Edge Internet Explorer mode App Inventory Review 14 - Protect identities in Microsoft Entra ID Explore Windows Hello for Business Deploy Windows Hello Manage Windows Hello for Business Explore Microsoft Entra ID Protection Manage self-service password reset in Microsoft Entra ID Implement multi-factor authentication 15 - Enable organizational access Enable access to organization resources Explore VPN types and configuration Explore Always On VPN Deploy Always On VPN 16 - Implement device compliance Protect access to resources using Intune Explore device compliance policy Deploy a device compliance policy Explore conditional access Create conditional access policies 17 - Generate inventory and compliance reports Report enrolled devices inventory in Intune Monitor and report device compliance Build custom Intune inventory reports Access Intune using Microsoft Graph API 18 - Deploy device data protection Explore Windows Information Protection Plan Windows Information Protection Implement and use Windows Information Protection Explore Encrypting File System in Windows client Explore BitLocker 19 - Manage Microsoft Defender for Endpoint Explore Microsoft Defender for Endpoint Examine key capabilities of Microsoft Defender for Endpoint Explore Windows Defender Application Control and Device Guard Explore Microsoft Defender Application Guard Examine Windows Defender Exploit Guard Explore Windows Defender System Guard 20 - Manage Microsoft Defender in Windows client Explore Windows Security Center Explore Windows Defender Credential Guard Manage Microsoft Defender Antivirus Manage Windows Defender Firewall Explore Windows Defender Firewall with Advanced Security 21 - Manage Microsoft Defender for Cloud Apps Explore Microsoft Defender for Cloud Apps Planning Microsoft Defender for Cloud Apps Implement Microsoft Defender for Cloud Apps 22 - Assess deployment readiness Examine deployment guidelines Explore readiness tools Assess application compatibility Explore tools for application compatibility mitigation Prepare network and directory for deployment Plan a pilot 23 - Deploy using the Microsoft Deployment Toolkit Evaluate traditional deployment methods Set up the Microsoft Deployment Toolkit for client deployment Manage and deploy images using the Microsoft Deployment Toolkit 24 - Deploy using Microsoft Configuration Manager Explore client deployment using Configuration Manager Examine deployment components of Configuration Manager Manage client deployment using Configuration Manager Plan in-place upgrades using Configuration Manager 25 - Deploy Devices using Windows Autopilot Use Autopilot for modern deployment Examine requirements for Windows Autopilot Prepare device IDs for Autopilot Implement device registration and out-of-the-box customization Examine Autopilot scenarios Troubleshoot Windows Autopilot 26 - Implement dynamic deployment methods Examine subscription activation Deploy using provisioning packages Use Windows Configuration Designer Use Microsoft Entra join with automatic MDM enrollment 27 - Plan a transition to modern endpoint management Explore using co-management to transition to modern endpoint management Examine prerequisites for co-management Evaluate modern management considerations Evaluate upgrades and migrations in modern transitioning Migrate data when modern transitioning Migrate workloads when modern transitioning 28 - Manage Windows 365 Explore Windows 365 Configure Windows 365 Administer Windows 365 29 - Manage Azure Virtual Desktop Examine Azure Virtual Desktop Explore Azure Virtual Desktop Configure Azure Virtual Desktop Administer Azure Virtual Desktop Additional course details: Nexus Humans MD-102T00 : Microsoft 365 Endpoint Administrator training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the MD-102T00 : Microsoft 365 Endpoint Administrator course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Disruptive Leadership: Delivering Twice the Work in Half the Time Disruptive Leadership: Delivering Twice the Work in Half the Time Abstract: The inventor and co-creator of Scrum will describe its origins in military strategy, medical research on complex systems, and its application in product development and other domains such as education and defense. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.