edureka! has posted this amazing eight hour tutorial for Azure to help beginners.

See the time index below the video to jump to a particular topic.

3:02 Why Cloud?
3:07 Before Cloud Computing
6:17 What is Cloud?
8:07 What is Cloud Computing?
8:42 Service Models
9:32 SaaS
10:17 PaaS
10:37 IaaS
11:17 Deployment Models
11:27 Public Cloud
11:57 Private Cloud
12:07 Hybrid Cloud
12:42 Cloud Providers
25:12 Azure Fundamentals
25:17 Getting Started with Azure
27:42 What is Microsoft Azure?
28:17 Use-case
30:02 How will we implement this?
34:02 Azure Components
34:12 App Service
34:22 Compute Domain
40:57 Blob Storage
41:22 Storage Domain
46:16 MySQL for Azure
46:49 Auto Scaling & Load Balancing
49:43 How to launch services in Azure?
1:04:53 Demo
1:23:08 Azure Pricing
1:28:33 Storage Domain
1:29:33 Why Storage?
1:33:48 Storage vs Database
1:34:58 What is Azure Storage?
1:41:38 Components of Azure Storage
2:12:35 Network Domain
2:12:40 Virtual Networks
2:13:35 What is Virtual Machine?
2:14:35 Why Virtual Networks?
2:15:35 What is Virtual Network?
2:16:50 What are Azure Subnet?
2:18:35 Network Security Groups
2:19:05 Virtual Network Architecture
2:20:00 Demo
3:08:24 Access Management
3:08:34 Azure Active Directory
3:09:14 What is Azure Active Directory?
3:12:26 Windows AD vs Azure AD
3:14:11 Service Audience
3:15:56 Azure Active Directory Editions
3:16:31 Azure Active Directory Tenants
3:36:06 Azure DevOps
3:36:26 What is DevOps?
3:42:21 Components of Azure DevOps
3:48:11 Azure Boards
4:20:16 Azure Data Factory
4:21:21 Why Data Factory?
4:23:06 What is Data Factory?
4:25:51 Data Factory Concepts
4:27:26 What is Data Lake?
4:29:01 Data Lake Concepts
4:33:31 Data Lake vs Data Warehouse
4:36:46 Demo: Move Data From SQL DB to Blog Storage
4:59:16 Important Services & Pointers
4:59:26 Azure Machine Learning
5:01:26 Machine Learning
5:06:01 Machine Learning Algorithms
5:08:36 Various Processes in ML Lifecycle
5:11:41 Microsoft Azure ML Studio
5:34:56 Azure IoT
5:35:46 What is IoT?
5:41:11 IoT on Azure
5:44:56 Azure IoT Components
5:57:31 Azure BoT Service
6:00:31 What are ChatBots?
6:04:36 Need for Chatbots
6:07:51 Demo: Creating a ChatBot for Facebook Messenger
6:41:06 AWS vs Azure vs GCP
6:51:36 Security
6:52:16 Integration
6:53:06 Analytics & ML
6:53:51 DevOps
6:54:26 Hybrid Capabilities
6:55:01 PaaS Offerings
6:55:26 Learning Curve
6:55:46 Scalability
6:56:26 Cost Efficient
6:57:11 The Final View
6:59:01 Cloud Careers
6:59:11 Azure Interview Questions
7:36:06 Cloud Engineer Jobs, Salary, Skills & Responsibilities
7:36:41 Cloud Engineer Job & Salary Trends
7:46:51 Cloud Engineer Job Skills & Description
7:51:51 Cloud Engineer Responsibilities

An Ugly Sweaters are a great tradition but how can we make them even better (https://aka.ms/IoTShow/UglySweater) is an IoT-enabled Ugly Sweater.

In this episode of the IoT Show, Olivier Bloch is joined by Jim Bennett, a Senior Cloud Advocate at Microsoft. Jim has built an Ugly Sweater using Azure IoT Central, Microsoft’s IoT app platform, and a Raspberry Pi Zero. Dive into Jim’s Python code and learn how Azure IoT Central is able to connect IoT devices to the cloud faster than any other platform. See how Jim uses IoT Central’s extensibility APIs to control his Ugly Sweater via Twitter. This code is on GitHub for you to play with and extend. Get started today!

If you have large data sets that seem too big to map, then watch this IoT show to learn how to cluster data in Azure Maps so your users can rapidly extract insights from very large data sets.

Ricky Brundritt, Principal Technical Program Manager, Azure Maps, takes you on a historical journey from grid-based clustering to radius-based clustering. You’ll learn how the power of the open source community has contributed to the supercluster library which Azure Maps leverages extensively. Watch Ricky demo and step through Azure Maps code for clustering using large data sets of shipwrecks and earthquakes. Learn how to use cluster aggregates to perform calculations based on properties of the children of each cluster. Ricky wraps up with a demo visualizing clustered map data in the form of pie charts—again, to enable your users to extract insights quickly.

Access demo source code here: https://aka.ms/AzureMapsSamples

Are you interested in connected vehicles?

In this video, you’ll get an overview of Microsoft Connected Vehicle Platform (MCVP).

MCVP is plumbing—the undifferentiated, heavy lifting common across connected vehicle applications—that Microsoft has made available as a platform.

MCVP provides connectivity, message delivery to the vehicle, and software updates so OEMs can focus on creating a unique customer experience.

Get a sneak preview  (aka.ms/iotshow/IoTatIgnite) of what you’ll learn at Ignite on November 4-8, 2019, in Orlando, Florida or by streaming the event online.

  • Sam George will lead a breakout session covering the newest offerings from Microsoft IoT.
  • Galen Hunt will speak with Starbucks on their use of Azure Sphere.
  • Olivier Bloch and Arjmand Samuel will lead a demo-heavy deep dive exploring what’s available today to build a secure end-to-end IoT solution.

On site attendees will have the opportunity to get hands-on experiences.

Twenty-minute theater sessions will offer go deep into specific topics including Azure IoT Hub, Azure IoT Central, Azure Maps, Azure Time Series Insights, IoT Plug and Play, and Azure Security Center for IoT. Developers and operators will leave the event knowing how to make IoT smart, seamless, and secure.      

Learn more at https://www.microsoft.com/en-us/ignite

IoT Plug and Play is now in public preview (https://aka.ms/IoTShow/IoTpnp).

In this episode of the IoT Show, you will see the new Azure IoT Central experience with native support for IoT Plug and Play.

Azure IoT Central has drastically simplified the task of building IoT solutions by eliminating the need for any cloud side development.

With IoT Plug and Play solution builders can explore a range of Azure IoT Certified Plug and Play devices; pick the devices that best fit their solution needs and build a production grade solution within days without having to write a single line of embedded code, drastically cutting down the time to market and costs.

After watching this short episode of the IoT Show and if you want to learn more, tune in (or watch on demand) the IoT Show Deep Dive episode: https://aka.ms/iotshow/deepdive/006

Azure Security Center for IoT can help you monitor and manage your IoT security posture.

Organizations can now easily protect their IoT deployments using hundreds of built-in security assessments drawn from the industry best practices, or create custom rules in a central dashboard. With newly added IoT security capabilities, you can now reduce attack surface for your Azure IoT solution and remediate issues before they can be exploited.

In this episode of the IoT Show, IoT Security experts show how to onboard to Azure Security Center for IoT and demo some of the many security values you will get.

For more details, visit Azure Security Center for IoT documentation at: