Showing posts with label Microsoft Azure. Show all posts
Showing posts with label Microsoft Azure. Show all posts
Zero to Hero in Cloud: Learn Azure + AWS + Azure DevOps(New)
Friday, August 1, 2025
Master Azure and AWS to Launch Your Cloud Career | HandsOn Labs on Storage, IAM, Networking & CI/CD + Certification Prep
Preview this Course
Description
Unlock your cloud career with this hands-on, beginner-to-intermediate course focused primarily on Microsoft Azure and, AWS and Azure DevOps concepts and services.
This course is designed for learners who want to master Azure fundamentals, build real-world DevOps pipelines, and gain a strong foundation in multi-cloud environments.
Whether you're an IT professional looking to move into cloud engineering, a developer eager to automate deployments, or someone preparing for certifications like AZ-104, AZ-400, or AWS — this course will take you from cloud novice to confident practitioner.
What You’ll Learn
Core Azure services: Virtual Machines, Blob Storage, Azure SQL, VNet, NSGs, RBAC, and more
Azure DevOps pipelines: Repos, Boards, Artifacts, CI/CD with YAML and Classic pipelines
Infrastructure as Code using ARM Templates and Terraform (Azure-focused)
Identity & Access Management (IAM) and Azure AD integration
Monitoring and cost management tools in Azure
Key AWS services for comparison: EC2, S3, IAM, RDS, VPC
Real-world labs: Deploy and automate apps in Azure, then compare workflows on AWS
Best practices in DevOps, cloud automation, and platform comparison
Why This Course?
Azure-First Approach: Most cloud courses start with AWS — we flip the script to help you learn Azure first.
Azure DevOps Focus: Master DevOps pipelines, infrastructure automation, and release management using Microsoft-native tools.
Multi-Cloud Confidence: By learning AWS in parallel, you’ll be able to work confidently in hybrid and enterprise environments.
Hands-On Projects: Real-world labs and guided challenges will help you gain practical experience — not just theory.
Certification-Oriented: This course supports preparation for AZ-104, AZ-400, and AWS Solutions Architect Associate.
What Makes This Course Different?
Unlike most cloud courses that start with AWS, this course is designed with an Azure-first philosophy, so you learn Microsoft's fast-growing cloud platform from the ground up. You’ll build real-world cloud infrastructure, automate workflows, deploy apps, and create CI/CD pipelines — all with hands-on projects.
Then, we'll introduce AWS in parallel, helping you understand key differences and similarities between the two platforms.
What You’ll Learn (In Detail)
Azure Cloud Core Skills
Set up and manage Azure Virtual Machines and resource groups
Use Azure Blob Storage, Azure SQL, and Load Balancers
Create and secure Virtual Networks (VNet), subnets, and NSGs
Implement Azure Identity (Azure AD) and RBAC policies
Azure DevOps (Deep Dive)
Understand Azure DevOps organization, projects, and repositories
Create build & release pipelines using Classic and YAML
Integrate GitHub and Azure DevOps for seamless CI/CD workflows
Manage Azure Boards for project tracking and automation
Publish and version code with Azure Artifacts
AWS for Comparison & Multi-Cloud Skills
Create and manage EC2, S3, IAM, RDS, and VPCs
Understand AWS equivalents to Azure services
Compare DevOps workflows using AWS CodePipeline.
Infrastructure as Code
Deploy infrastructure using ARM templates and Terraform (multi-cloud)
Version control infrastructure for reproducibility and collaboration
Security, Monitoring & Cost Management
Azure Security Center & AWS Trusted Advisor
Cost calculators, budgets, and recommendations
Enable logging and alerts for cloud resource monitoring
Tools & Technologies You'll Use
Azure Portal
Azure DevOps
GitHub
Terraform
AWS Console & CLI
Bash (for scripting)
By the end of this course, you’ll be able to:
Confidently deploy and manage cloud resources in Azure
Automate infrastructure and application delivery with DevOps pipelines
Work across multi-cloud environments with ease
Present real, hands-on projects in job interviews or certification prep
Make smart architecture and security decisions across platforms
Who this course is for:
- Beginners looking to start a career in cloud computing with no prior experience.
- IT professionals (SysAdmins, Network Engineers, Developers) who want to upskill into cloud roles.
- Students and fresh graduates preparing for their first job in cloud or DevOps.
- Cloud certification aspirants preparing for exams like AWS SAA-C03 or Microsoft AZ-104.
- DevOps and infrastructure engineers seeking hands-on knowledge of both Azure and AWS.
- Freelancers and entrepreneurs who want to deploy and manage applications on cloud platforms.
- Anyone interested in building multi-cloud skills and understanding real-world cloud architecture.
[NEW] AZ-104: Microsoft Azure Administrator - OCT 2022
Tuesday, December 13, 2022
![[NEW] AZ-104: Microsoft Azure Administrator - OCT 2022](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFsYwv8-O0S1jTe5ZR0eWqfSmdPfGgwkgvZsNqzzCtGdbBSwcobF_GT5aBDntzkUs7wGMS3tJ6CTFu_dK50Aib7Iuz1KxxeeOLtN2gBXLwp8DfLG1W2KzbUjo9GnGGjKUxgxZSTbjS7XQWEnCw0gET9Tlfi-Ba4wWzKncTZYvBuknfQupZogBRBA/s480/4603056_0875_5.jpg "[NEW] AZ-104: Microsoft Azure Administrator - OCT 2022")
[NEW] AZ-104: Microsoft Azure Administrator - OCT 2022 - Deep-Dive for AZ-104 Exam: Microsoft Azure Administrator | Demos | 30+ hours of videos || 100% Syllabus || PPTsPreview this Course
Exam AZ-104: Microsoft Azure Administrator is a certification exam for Azure administrators at the intermediate level. The exam is essential and necessary for Azure admins. This exam verifies your abilities to implement, manage, and monitor Azure cloud identity, computing, storage, virtual networks, and governance. In addition, expertise in provisioning, scaling, monitoring, and modifying resources to meet business needs.
After passing the AZ-104 exam, you may achieve the Microsoft Certified: Azure Administrator Associate credential and confirm your Azure administrator abilities with ease.
This course Includes:
30+ Hours Training Videos for all Exam Objectives (100% Syllabus Covered)
400+ Downloadable Slides PDF
100+ Quiz Questions
Full lifetime access
Certificate of course completion
30-days Money-Back Guarantee
Attractive Features:
Very Detailed course, cover from basic to great details
Always updated with latest syllabus
Lots of Demos/Hands On - Almost every concept explained with Demo
Explained while keeping beginners in mind
Microsoft Certified Trainer - with 10+ years of experience in Microsoft Technologies
Concepts Covered in this course
The exam objectives address the following critical competencies for the Azure AZ-104 examination:
Manage identities and Azure governance
Manage and implement storage
Manage Azure computing resource deployments
Manage and configure virtual networking
Manage and protect Azure resources
Our AZ-104 course will provide you with all the tools necessary to get practical experience through hands-on laboratories and practice problems designed to reinforce your theoretical understanding.
Who should take the Microsoft Azure Administrator Exam (AZ-104)?
If you are a cloud administrator or an IT professional with the required Azure expertise and you wish to advance your career in Azure administrator jobs, passing this exam is essential. In addition, if you aspire to become an Azure administrator or wish to concentrate in the Azure administrator certification route, then the abilities acquired by studying for this test are crucial.
You can take this test if you are a software administrator, cloud administrator, software engineer, or cloud engineer, or if you work in a comparable position.
After completing the AZ-104 exam and achieving the Microsoft Certified: Azure Administrator Associate credential, you will be able to:
Capable of implementing, managing, configuring, and monitoring Azure services and virtual networks, as well as demonstrating administrative abilities on Azure.
Capable of collaborating with the team on a variety of complex Azure projects with major businesses as Microsoft, Accenture, Mercedes-Benz, Randstad, Wipro, etc.
In demand among cloud administrators and future-proof your cloud administration profession.
Receive extraordinary opportunities and compensations.
Who this course is for:
- Anyone who wants to clear AZ-104 certification exam
- Anyone who wants to learn Azure Administrator role related technology
- Anyone who wants to learn core Azure technologies.
What you'll learn
- Manage Azure identities and governance
- Implement and manage storage
- Deploy and manage Azure compute resources
- Configure and manage virtual networking
- Monitor and back up Azure resources
Azure Application Gateway Deep Dive
Sunday, February 27, 2022
Hands On! Step-by-Step guide to learn Azure Application Gateway in depth
- New
What you'll learn
- Azure Application Gateway
- Azure Web Application Firewall (WAF)
- Create an Azure Application Gateway
- Multi-Site Hosting
- URL Routing / Path-based Routing
- Redirection
- Rewriting Sets
- Internal Load Balancer
- Auto Scaling & Zone Redundancy
- SSL Termination
- End-to-End SSL Encryption
- Mutual Authentication
- SSL Policies
- Ingress Controller Add-on for AKS
- Web Application Firewall (WAF)
- Web Application Firewall (WAF) Policies
- Diagnostic Settings
- Metrics
- Alert Rules
- Log Analytics
- Health Probes
- Backend Health
- High Traffic Support
- Pricing & Tiers
- Cookie Affinity
- Connection Draining
- Custom Error Pages
- WebSockets
- Infrastructure Configuration
- Front-end IP
- Listeners
- Routing Rules
- HTTP Settings
- Backend Pools
Description
Welcome to Azure Application Gateway Deep Dive Course. This course will get you up to speed with Azure Application Gateway, and you'll learn the best practices to implement Azure Application Gateway. With a deep focus on routing & security, you'll get to learn how you can use different routing rules to direct traffic through your Application Gateway to the right backend target. Covering different SSL implementations (SSL Termination, End-to-End SSL Encryption) to secure your Application Gateway as needed. Getting into the details of AKS Ingress Controller and see how you can setup your Application Gateway to route traffic onto AKS cluster using two different deployment styles (Greenfield & Brownfield). You'll learn how to configure your Application Gateway as a Web Application Firewall (WAF) to add additional layer of protection for your web applications, and how to configure your own WAF policies. Then, coming to the monitoring part, where you'll see how to setup the Diagnostic Settings for your Application Gateway, and what are the key Metrics you need to focus on to ensure you've a health Application Gateway instance(s), and how to setup alert rules to notify you when a certain Metric has exceeded a certain threshold. Then moving into a more advanced topics on how to configure your Application Gateway so It would be able to support high traffic workloads coming through your systems. Happy Learning!
Who this course is for:
- Cloud Engineers
- Cloud Architects
- Software Engineers
- Developers
- Software Architects
- Network Engineers
- Security Engineers
- Network Archiects
- Security Architects
2 Real World Azure Data Engineer Project End to End
Wednesday, February 23, 2022
2 Real World Azure Data Engineer Project End to End - Engineering Project Building from scratch including designing, architecting, implementing solution and overall testing.
Highest Rated
What you'll learn
- You will learn how to Architect, Design and build a real-world enterprise level data platform solution including multiple services.
- You will learn design solution using ADF, Azure Function, Databricks, pyspark, Azure Data lake storage Gen 2 (ADLS), Azure SQL Server
- You will learn how to build a real-world data pipeline in Azure Data Factory (ADF). This course has been taught using 2 real world use case scenarios.
- You will learn how to transform data using Databricks Notebook Activity in Azure Data Factory (ADF) and load into Azure Data Lake Storage Gen2
- You will learn how to build production ready pipelines and good practices and naming standards
- You will learn how to integrate Databricks with ADF and send the response back from Databricks to ADF
- You will learn how to develop the triggered based Azure Function to validate files.
- You will learn how to create Azure Key vault and use it to store secret credentials and SAS token
- You will learn how to connect the Azure SQL Database and Databricks cluster using the Key Vault
- You will learn how to mount he Azure Storage Account in the Databricks to access the files and preform transformation on it.
- You will learn how to transform the data in the Azure Databricks using the pyspark.
Requirements
- Basic understanding about cloud computing will be useful, but not necessary.
- Experience in Azure is not required, I will take you through everything necessary to learn this course and build the project
Description
This course will help you in preparing and mastering your Azure Data engineering Concepts.
It is not like any random project like covid, or twitter analysis. These project is real world projects on which I personally worked and developed it for big clients.
Highlights of the Course:
Designed to keep only précised information no beating around the bush. (To save your time).
Real time implementation, no dummy use case.
Can be added as part of your resume.
It will help you to showcase your experience in interviews and discussion.
Involve complex architecture solution which is aligned with industry best practices.
Single projects involve various component integration like ADF, ADLS, Databricks, Azure SQL DB, Key Vault.
Solves the problem of real time experience for new Data engineers.
This course has been developed in mind to keep all the best practices followed in the Industry as an data engineering project and solution.
Technologies involved:
Azure Data Lake Storage Gen 2
Azure Data Factory
Data Factory Pipeline
Azure Functions
Azure Key Vault
Azure SQL DB
SSMS
AWS S3 Bucket
Connect ADF to Databricks
Connect Databricks to SQL Server
Connect Databricks to ADLS
Connect S3 to Azure Cloud
Triggers
SAS token
Create Secrets scope in Databricks
Store secretes in Key Vault and access them
What you will learn after this course:
How to think, design and develop the solution in the data engineering world.
How to create the architecture diagram for data engineering projects.
How to Create Azure Data Factory Account
How to Create Azure Data Lake Storage Gen 2 account.
How to Create Azure Databricks Workspace.
How to create S3 storage account.
How to create Azure Function.
How to implement logic in the Databricks notebook using pyspark.
How to connect ADF to Databricks.
How to chain the multiple pieces together in project.
How to create Azure SQL Server.
How to load the data from file to Azure SQL server.
How to connect Databricks notebook with Azure SQL Server.
How to Store secrets in the Azure Key Vault.
Who this course is for:
- Aspiring Data engineer who are searching for project to add in resume
- Someone who is looking for Real World uses cases to implement as Data engineering Solution
- University students looking for a career in Data Engineering
- IT developers working on other disciplines trying to move to Data Engineering
- Data Engineers/ Data Warehouse Developers currently working on on-premises technologies, or other cloud platforms such as AWS or GCP who want to learn Azure Technologies
- Data Architects looking to gain an understanding about Azure Data Engineering stack
- Data Scientists who want extend their knowledge into data engineering
Microsoft Azure Data Lake Storage Service (Gen1 & Gen2)
Tuesday, March 9, 2021
Microsoft Azure Data Lake Storage Service (Gen1 & Gen2) - How to ingest, process and export data in Azure Data Lake using Databricks and HDInsight,
- Highest Rated
- Created by Eshant Garg
- English [Auto]
What you'll learn
- Microsoft Azure Data Lake
- Different tools and scenarios to ingest data in to Data Lake
- Data Lifecycle and Architecture around Data Lake
- Use Azure Databricks and HDInsight to process data in ADLS
- Five layers of security to protect Data Lake
- Monitor the performance of your Data lake
- Data Lake optimization Strategy
Description
Course Introduction
Azure Data Lake Storage Gen2 (ADLS) is a cloud-based repository for both structured and unstructured data. For example, you could use it to store everything from documents to images to social media streams.
The most effective way to do big data processing on Azure is to store your data in ADLS and then process it using Spark (which is essentially a faster version of Hadoop) on Azure Databricks.
In this course, you will follow hands-on examples to import data into ADLS and then securely access it and analyze it using Azure Databricks and Azure HDInsight.
You will also learn how to monitor and optimize your Data Lake Storage.
Expected Outcomes
After this course:
You will have a very good understanding of Data lake features and properties
You will learn about different tools and scenarios to ingest data into Data Lake.
You will learn about Data Lifecycle and Architecture around Data Lake
You will be doing end to end demos to ingest, process, and export data using Databricks and HDInsight.
You will learn about 5 layers of Data Security and how to configure them using the Azure portal.
You will also learn about different tools Azure provides to monitor Data Lake Storage service.
And finally, you will learn optimization techniques for Data Lake Storage.
Intended Audience
Anyone interested in learning Azure Data Lake Storage Service
Level
Beginners and intermediate level
I have a few crash courses (Free) for absolute beginners, you can find links on my website.
Prerequisites
There is no prerequisite for this course
Basic understanding of Data warehouse and Database, in general, will help you understand quickly.
Language
English
If you are not comfortable in English, please do not take a course, captions are not good enough to understand the course.
What's inside
Video lectures, PPTs, Demo Resources, Quiz, Assignment, other important links
Full lifetime access with all future updates
Certificate of course completion
30-Day Money-Back Guarantee
Some students Feedback
One of the most amazing courses i have ever taken on Udemy. Please don't hesitate to take this course. The instructor is really professional and has a great experience about the subject of the course. - Khadija Badary
Very nicely explained most of the concepts. a must have course for beginners - Manoranjan Swain
I appreciate this course explaining everything in great detail for a beginner. This will assist me in overcoming challenges at my work - Benjamin Curtis
Good course for Beginners. Labs are really helpful to grasp the concept. Thank you - Sapna
Who this course is for:
Anyone interested in Azure’s big data analytics services
Microsoft Azure Data Engineers
Database and BI developers
Database Administrators
Data Analyst or similar profiles
Azure Data Engineer Technologies for Beginners [Bundle]
Monday, March 8, 2021
Azure Data Engineer Technologies for Beginners [Bundle] - Microsoft Azure SQL Database, Data Lake, Data Factory, Synapse Analytics, Cosmos DB, Databricks,HDInsight,DP-200, DP-201
- Created by Eshant Garg
- English [Auto]
What you'll learn
- You will be able to identify right Azure SQL Server deployment option, purchasing model and service tier according to requirements and will be able to deploy it in cloud.
- You will able to deploy Azure Synapse Analytics (formerly known as Azure SQL Data warehouse) in Azure Cloud environment.
- You will have good internal MPP architecture understanding, and so you will be able to analyse your on-premises data warehouse, and migrate data to Azure Data Warehouse.
- You will be able to create Azure Data Lake Gen1 storage account, populate it will data and analyze it using U-SQL Language.
- You will understand Azure Data Factory key components and advantages. You will be able to create, schedule and monitor simple pipelines.
- We will understand how HDInsight makes Hadoop easy, and we will go through simple demo where we’ll fetch data from Data Lake, process it
Description
Why Microsoft Azure Data Engineer?
Microsoft Azure Date Engineering is one of the fastest-growing and in-demand occupations among Data Science practitioners.
According to a 2019 Dice report, there was an 88% year-over-year growth in job postings for data engineers, which was the highest growth rate among all technology jobs.
If you are interested in this domain, there cannot be a better time to start learning these Microsoft Azure Data Solution technologies.
Expected Outcomes
After this course:
Microsoft Azure SQL Server - You will be able to identify the right Azure SQL Server deployment option, purchasing model and service tier according to requirements and will be able to deploy it in the cloud. You will be able to set up a security configuration to secure your database.
Microsoft Azure SQL Data Warehouse - You will able to deploy Azure Synapse Analytics (formerly known as Azure SQL Data warehouse) in Azure Cloud environment. You will have good internal MPP architecture understanding, and so you will be able to analyze your on-premises data warehouse and migrate data to Azure Data Warehouse.
Microsoft Azure Data Lake - You will be able to create Azure Data Lake storage account, populate it will data using different tools and analyze it using Databricks and HDInsight
Microsoft Azure Data Factory - You will understand Azure Data Factory's key components and advantages. You will be able to create, schedule and monitor simple pipelines.
Hadoop Basics - You will learn the fundamental understanding of the Hadoop Ecosystem and 3 main building blocks. This module will prepare you to start learning Big Data in Azure Cloud using HDInsight.
Microsoft Azure HDInsight - We will understand how HDInsight makes Hadoop easy, and we will go through simple demo where we’ll fetch data from Data Lake, process it through Hive and later will store data in SQL Server.
Cosmos DB - You will understand all basic concepts of Cosmos DB, and will be able to create a new database, container, documents, and choose right partition key, configure the global distribution and use other important features
Streaming Service - I will add details soon
Databricks - I will add details soon
Storage Service - I will add details soon
Intended Audience
Beginners in Microsoft Azure Platform
Microsoft Azure Data Engineers
Microsoft Azure Data Scientist
Database and BI developers
Database Administrators
Data Analyst or similar profiles
On-Premises Database related profiles who want to learn how to implement these technologies in Azure Cloud.
Anyone who is looking forward to starting his career as an Azure Data Engineer.
Level
Beginners (100)
"if you are already experienced and working on these technologies, this may not be the best course for you."
I have a few crash courses (Free) for absolute beginners, you can find links on my website.
Prerequisites
Basic T-SQL and Database concepts
Microsoft Azure Free trial Subscription
Language
English
If you are not comfortable in English, please do not take a course, captions are not good enough to understand the course.
What's inside
Video lectures, PPTs, Demo Resources, Quiz, Assignment, other important links
Full lifetime access with all future updates
Certificate of course completion
30-Day Money-Back Guarantee
Course updates
I am consistently adding new content in terms of both lectures and demos. Please find below logs for past and upcoming changes.
Previous Updates:
Jan 2021 - Revised Synapse module with all new changes
Aug 2020 - Data Encryption related lessons added
July 2020 - Monitoring and Optimization of services
July 2020 - AMS (Azure Monitoring Service)
July 2020 - Re-recorded Azure Data Factory with all new updates
July 2020 - NoSQL Databases in Microsoft Azure (Azure Blob Storage)
July 2020 - Added Azure Databricks Module
July 2020 - Added Azure Streaming Analytics Module
June 2020 - Added Azure Cosmos DB Module
May 2020 - Full-length course on Data Lake
Apr 2020 - Added modules on Azure cloud computing basics, and Data Engineer profile
Apr 2020 - Added crash course on cloud computing and data warehouse
Mar 2020 - Added Azure Synapse Analytics
Feb 2020 - Added Azure SQL Database
Oct 2019 - Added Azure HDInsight
Sep 2019 - Added Azure Data Factory
Aug 2019 - Course Created on Azure Data Lake
Course In Detail
By the end of this course
Microsoft Azure SQL Server -
You will know the advantages of Azure Database over on-premises Database
You will be able to provision all three types of Azure Database PaaS Deployments (Single, Elastic Pool, Managed Instance)
You will learn different purchasing models and Service tiers and how to configure them according to requirements.
You will be able to provision Azure Database in Virtual Machine (IaaS)
You will be able to deploy Elastic Pool Database and able to add/remove more databases from the pool.
You will be able to deploy the Managed Instance Database, configure it and connect it with your SQL Server Management studio.
Microsoft Azure Synapse Analytics Service
You will learn why we should consider warehousing solutions in the cloud.
You will learn about Microsoft's brand new Azure Synapse analytics service, and how this service brings together enterprise data warehousing and Big Data analytics, and provide a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
You will learn the difference between Traditional vs Modern vs Synapse Architecture.
You will learn Azure famous MPP (Massive Parallel Processing) architecture
You will also learn many internal concepts like Data Distribution, Sharding, and partitioning.
You will learn different migration methods and best practices.
You will learn PolyBase setup (Best Loading method)
You will perform a lot of demos to migrate data to Azure SQL Data warehouse using SSIS, Data Factory and PolyBase.
Microsoft Azure Data Lake Gen1
You will learn the limitations of traditional database systems to handle the Big Data revolution.
You will learn the difference between Azure Data Lake, SSIS, Hadoop and Data Warehouse.
You will be able to create Azure Data Lake Gen1 storage account, populate it will data and analyze it using U-SQL Language.
Microsoft Azure Data Factory -
You will understand Azure Data Factory's key components and advantages.
You will be able to create, schedule and monitor simple pipelines.
Hadoop Basics
You will learn a fundamental understanding of the Hadoop Ecosystem and 3 main building blocks.
This module will prepare you to start learning Big Data in Azure Cloud using HDInsight.
Microsoft HDInsight -
You will learn what are the challenges with Hadoop and how HDInsight solves these challenges.
You will also learn Cluster types, HDInsight Architecture and other important aspects of Azure HDInsight.
You will also go through demo where we’ll fetch data from Data Lake, process it through Hive and later will store data in SQL Server.
Some students Feedback
One of the most amazing courses i have ever taken on Udemy. Please don't hesitate to take this course. The instructor is really professional and has a great experience about the subject of the course. - Khadija Badary
Very nicely explained most of the concepts. a must have course for beginners - Manoranjan Swain
I appreciate this course explaining everything in great detail for a beginner. This will assist me in overcoming challenges at my work - Benjamin Curtis
Good course for Beginners. Labs are really helpful to grasp the concept. Thank you - Sapna
Who this course is for:
Beginners in Azure Platform
Database Developer
Database Administrators (DBA)
Business Intelligence (BI) Developers
Data Engineers
Data Scientist
Data Analyst or similar profiles
Other on-premises Database related profiles who want to learn how to implement these technologies in Azure Cloud.
Anyone who is looking forward to start his career as a Azure Data Engineer
Azure Machine Learning using Cognitive Services
Monday, December 21, 2020
Free Coupon Discount - Azure Machine Learning using Cognitive Services, Learn the Azure Machine Learning Studio, Azure Bot Service, Video Indexing service, Computer Vision for OCR and more! | Created by Tim Buchalka's Learn Programming Academy, Eduardo Rosas
Preview this Udemy Course - GET COUPON CODE
Description
Has Microsoft’s Cognitive services piqued your interest, but you haven't been able to find a decent course that will teach you how to use those services effectively?
Or maybe you have just recognised how a valuable skill like machine learning can open up big opportunities for you as a developer.
Perhaps you just wanted to find out how to add "superpowers" to your programs to do amazing things like face detection, but had no idea how to go about it.
Whatever the reason that has brought you to this page, one thing is for sure; the information you are looking for is contained in this course!
Why learn about Azure Machine Learning?
Machine Learning is not only a hot topic but more excitingly, Python Developers who understand how to work with Machine Learning are in high demand!
Azure, combined with Microsoft Cognitive Services, are a huge opportunity for developers.
In this course you will learn how to add powerful Machine Learning functionality to your applications.
You’ll learn how Microsoft Cognitive Services provide advanced machine learning functionality for any kind of application
You will be able to create amazing apps that add “superpowers”, such as language understanding for executing user-requests, verification of users through speech, face detection, identification of people in images, and much more!
You will learn how to bring into play Machine Learning models to simplify business processes when moderating content.
And you will find out how you can create better experiences for your users by adding more interfaces and functionalities such as bots.
Adding these skills to your résumé will greatly boost your future job or freelancer opportunities.
Why choose this course?
This course covers a much wider range of Cognitive Services than other similar courses.
It guides you step by step through the usage of these services instead of just covering the creation inside Azure.
Your instructor, Eduardo Rosas, has been working with Azure services for 4 years.
He has created many apps that leverage Azure services, including one with the implementation of Machine Learning models and image analysis that got him to the Microsoft Imagine Cup World-Wide finals.
The Key Topics Covered include :
The Azure Machine Learning Studio - how to create your own machine learning models with drag and drop interfaces.
The Azure Bot Service - how to create conversational bots that can be connected with Messenger, Slack, Skype, Telegram, and more.
The Video Indexing service - how to identify people in a video, actions, get a transcript of the conversation, with a timestamp, how to translate it and more.
Computer Vision for OCR - handwritten text recognition, image analysis.
Custom Vision for your own image classification model tailored completely to your needs.
Plus an additional nine (9) Cognitive Services!
You'll come away with a concrete understanding of Azure Machine Learning and how to maximize it to create superior apps with amazing functionalities!
The ideal student would be someone who has a basic knowledge of programming and wants to learn about machine learning using Azure and Microsoft Cognitive Services.
If you’re ready to take your skills and app functionalities to the next level, then today is the best day to get started!
Click the enroll button to sign up for the course and we look forward to seeing you on the inside!
Who this course is for:
This course is suitable for any developer who has some basic knowledge of programming (any language).
This course is for you if you want to quickly implement Machine Learning functionality to your own programs. This course is not for developers wanting to learn the ins and outs of ML.
Anyone who's finds complex Math uncomfortable but is interested in Machine Learning and how to apply it to problems.
100% Off Udemy Coupon . Free Udemy Courses . Online Classes
Azure Data Engineer Technologies for Beginners [DP-200, 201]
Monday, December 14, 2020
Azure Data Engineer Technologies for Beginners [DP-200, 201] - Microsoft Azure SQL Database, Data Lake, Data Factory, Synapse Analytics, Cosmos DB, Databricks,HDInsight,DP-200, DP-201
- Bestseller
- Created by Eshant Garg
- English [Auto]
What you'll learn
- You will be able to identify right Azure SQL Server deployment option, purchasing model and service tier according to requirements and will be able to deploy it in cloud.
- You will able to deploy Azure Synapse Analytics (formerly known as Azure SQL Data warehouse) in Azure Cloud environment.
- You will have good internal MPP architecture understanding, and so you will be able to analyse your on-premises data warehouse, and migrate data to Azure Data Warehouse.
- You will be able to create Azure Data Lake Gen1 storage account, populate it will data and analyze it using U-SQL Language.
- You will understand Azure Data Factory key components and advantages. You will be able to create, schedule and monitor simple pipelines.
- We will understand how HDInsight makes Hadoop easy, and we will go through simple demo where we’ll fetch data from Data Lake, process it
Description
Why Microsoft Azure Data Engineer?
Microsoft Azure Date Engineering is one of the fastest-growing and in-demand occupations among Data Science practitioners.
According to a 2019 Dice report, there was an 88% year-over-year growth in job postings for data engineers, which was the highest growth rate among all technology jobs.
If you are interested in this domain, there cannot be a better time to start learning these Microsoft Azure Data Solution technologies.
Expected Outcomes
After this course:
Microsoft Azure SQL Server - You will be able to identify the right Azure SQL Server deployment option, purchasing model and service tier according to requirements and will be able to deploy it in the cloud. You will be able to set up a security configuration to secure your database.
Microsoft Azure SQL Data Warehouse - You will able to deploy Azure Synapse Analytics (formerly known as Azure SQL Data warehouse) in Azure Cloud environment. You will have good internal MPP architecture understanding, and so you will be able to analyze your on-premises data warehouse and migrate data to Azure Data Warehouse.
Microsoft Azure Data Lake - You will be able to create Azure Data Lake storage account, populate it will data using different tools and analyze it using Databricks and HDInsight
Microsoft Azure Data Factory - You will understand Azure Data Factory's key components and advantages. You will be able to create, schedule and monitor simple pipelines.
Hadoop Basics - You will learn the fundamental understanding of the Hadoop Ecosystem and 3 main building blocks. This module will prepare you to start learning Big Data in Azure Cloud using HDInsight.
Microsoft Azure HDInsight - We will understand how HDInsight makes Hadoop easy, and we will go through simple demo where we’ll fetch data from Data Lake, process it through Hive and later will store data in SQL Server.
Cosmos DB - You will understand all basic concepts of Cosmos DB, and will be able to create a new database, container, documents, and choose right partition key, configure the global distribution and use other important features
Streaming Service - I will add details soon
Databricks - I will add details soon
Storage Service - I will add details soon
Intended Audience
Beginners in Microsoft Azure Platform
Microsoft Azure Data Engineers
Microsoft Azure Data Scientist
Database and BI developers
Database Administrators
Data Analyst or similar profiles
On-Premises Database related profiles who want to learn how to implement these technologies in Azure Cloud.
Anyone who is looking forward to starting his career as an Azure Data Engineer.
Level
Beginners (100)
"if you are already experienced and working on these technologies, this may not be the best course for you."
I have a few crash courses (Free) for absolute beginners, you can find links on my website.
Prerequisites
Basic T-SQL and Database concepts
Microsoft Azure Free trial Subscription
Language
English
If you are not comfortable in English, please do not take a course, captions are not good enough to understand the course.
What's inside
Video lectures, PPTs, Demo Resources, Quiz, Assignment, other important links
Full lifetime access with all future updates
Certificate of course completion
30-Day Money-Back Guarantee
Course updates
I am consistently adding new content in terms of both lectures and demos. Please find below logs for past and upcoming changes.
Previous Updates:
July 2020 - Monitoring and Optimization of services
July 2020 - AMS (Azure Monitoring Service)
July 2020 - Re-recorded Azure Data Factory with all new updates
July 2020 - NoSQL Databases in Microsoft Azure (Azure Blob Storage)
July 2020 - Added Azure Databricks Module
July 2020 - Added Azure Streaming Analytics Module
June 2020 - Added Azure Cosmos DB Module
May 2020 - Full-length course on Data Lake
Apr 2020 - Added modules on Azure cloud computing basics, and Data Engineer profile
Apr 2020 - Added crash course on cloud computing and data warehouse
Mar 2020 - Added Azure Synapse Analytics
Feb 2020 - Added Azure SQL Database
Oct 2019 - Added Azure HDInsight
Sep 2019 - Added Azure Data Factory
Aug 2019 - Course Created on Azure Data Lake
Course In Detail
By the end of this course
Microsoft Azure SQL Server -
You will know the advantages of Azure Database over on-premises Database
You will be able to provision all three types of Azure Database PaaS Deployments (Single, Elastic Pool, Managed Instance)
You will learn different purchasing models and Service tiers and how to configure them according to requirements.
You will be able to provision Azure Database in Virtual Machine (IaaS)
You will be able to deploy Elastic Pool Database and able to add/remove more databases from the pool.
You will be able to deploy the Managed Instance Database, configure it and connect it with your SQL Server Management studio.
Microsoft Azure Synapse Analytics Service
You will learn why we should consider warehousing solutions in the cloud.
You will learn about Microsoft's brand new Azure Synapse analytics service, and how this service brings together enterprise data warehousing and Big Data analytics, and provide a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
You will learn the difference between Traditional vs Modern vs Synapse Architecture.
You will learn Azure famous MPP (Massive Parallel Processing) architecture
You will also learn many internal concepts like Data Distribution, Sharding, and partitioning.
You will learn different migration methods and best practices.
You will learn PolyBase setup (Best Loading method)
You will perform a lot of demos to migrate data to Azure SQL Data warehouse using SSIS, Data Factory and PolyBase.
Microsoft Azure Data Lake Gen1
You will learn the limitations of traditional database systems to handle the Big Data revolution.
You will learn the difference between Azure Data Lake, SSIS, Hadoop and Data Warehouse.
You will be able to create Azure Data Lake Gen1 storage account, populate it will data and analyze it using U-SQL Language.
Microsoft Azure Data Factory -
You will understand Azure Data Factory's key components and advantages.
You will be able to create, schedule and monitor simple pipelines.
Hadoop Basics
You will learn a fundamental understanding of the Hadoop Ecosystem and 3 main building blocks.
This module will prepare you to start learning Big Data in Azure Cloud using HDInsight.
Microsoft HDInsight -
You will learn what are the challenges with Hadoop and how HDInsight solves these challenges.
You will also learn Cluster types, HDInsight Architecture and other important aspects of Azure HDInsight.
You will also go through demo where we’ll fetch data from Data Lake, process it through Hive and later will store data in SQL Server.
Some students Feedback
One of the most amazing courses i have ever taken on Udemy. Please don't hesitate to take this course. The instructor is really professional and has a great experience about the subject of the course. - Khadija Badary
Very nicely explained most of the concepts. a must have course for beginners - Manoranjan Swain
I appreciate this course explaining everything in great detail for a beginner. This will assist me in overcoming challenges at my work - Benjamin Curtis
Good course for Beginners. Labs are really helpful to grasp the concept. Thank you - Sapna
Who this course is for:
Beginners in Azure Platform
Database Developer
Database Administrators (DBA)
Business Intelligence (BI) Developers
Data Engineers
Data Scientist
Data Analyst or similar profiles
Other on-premises Database related profiles who want to learn how to implement these technologies in Azure Cloud.
Anyone who is looking forward to start his career as a Azure Data Engineer
Real time Azure training for System Administrators
Thursday, November 12, 2020
Online Courses Udemy
Real time Azure training for System Administrators - Learn Complete Azure Training with 53+ hours of Content with Step by step Demos
- New
- Created by Pavan Kumar
- English [Auto]
Students also bought
- Microsoft Azure Solutions (Exam 70-533) – 9 Course Bundle
- AZ-303 - Azure Architect Technologies- UPDATED 2020
- AZ-301/AZ-304 Azure Architect Design Exam Prep 2020
- Azure Data Engineer Technologies for Beginners [DP-200, 201]
Description
This course teaches Full Azure skills related to Administrators specific. This course contains 53+ Hours of content that focuses on all azure Cloud Services. This course is a good choice if you want to learn end-to-end Azure.
This course is designed from very basic to cover all topics.
This course is not designed for any certification focus based, instead it teaches you the complete Azure Administration job skills, meaning it should cover all certificates topics.
This course is not for DevOps or developers, however, it will be useful for DevOps person to understand from Azure Administration.
Who this course is for:
Anyone seeking to learn Azure Skills
Any student want to learn AZ-900,AZ-303,Az-304,AZ-500
Azure Skills learners
Students intrested in learning Azure
Zero to Hero with Windows Virtual Desktop
Friday, November 6, 2020
Zero to Hero with Windows Virtual Desktop - Getting started with Windows Virtual Desktop ARM
Highest Rated
- Created by Travis Roberts
- English [Auto]
Students also bought
- Microsoft Azure Solutions (Exam 70-533) – 9 Course Bundle
- AZ-303 - Azure Architect Technologies- UPDATED 2020
- AZ-301/AZ-304 Azure Architect Design Exam Prep 2020
- Azure Data Engineer Technologies for Beginners [DP-200, 201]
Description
This course takes you from minimal or no experience with Windows Virtual Desktop (WVD) to a WVD hero. We start with the basics of WVD and move through deploying and managing a WVD environment.
Deploy and manage WVD in this comprehensive course.
· WVD service overview
· Deploy Remote Desktop and Remote Applications
· Use FSLogix and Azure File Share
· Create and manage custom images
· Ongoing management tasks
· And more!
Learn Windows Virtual Desktop, the Microsoft remote desktop service hosted in Azure.
In this course, you will learn about WVD, Microsoft’s new remote desktop solution hosted in Azure. Windows Virtual Desktop provides the ability to scale remote desktop sessions on-demand with no up-front capital expenses associated with scaling on-premises VDI solutions. You also learn FSLogix for user profile management, and a new, multi-session Windows 10 OS only available in Azure.
Content and Overview
At the end of this Couse, you will be able to deploy and manage a Windows Virtual Desktop ARM Host Pool with a Windows 10 Multi-user OS, publish Remote Desktops and Remote Applications. You also learn to configure FSLogix profile containers on an Azure Storage File Share, and manage a WVD environment.
This course uses a combination of presentations to introduce essential concepts, and then reinforces those concepts with examples in a hands-on lab. Follow along with the author in an Azure lab environment using both the Azure Portal and PowerShell to complete tasks in the course.
AZ-900: Microsoft Azure Fundamentals Certification - 2020
Thursday, April 16, 2020
Free Coupon Discount - AZ-900: Microsoft Azure Fundamentals Certification - 2020 | Prepare for Microsoft AZ 900 Exam with Detailed explanations and lots review questions | Created by Anand Nednur
Students also bought
- AZ-300 Microsoft Azure Architect Technologies - Lab Practice
- AZ-301 Azure Architect Design Exam Prep 2020
- AZ-300: Microsoft Azure Architect Technologies- UPDATED 2020
- Azure Administrator: AZ-103/AZ-104
- Azure Fundamentals: AZ-900 Certification
Preview this Udemy Course GET COUPON CODE
Description
Update : 12-02-2019 - Practice Test Added at the end of the course
Update - 02-01-2020 - Updates from Ignite 2019 Incorporates
Update : 20-01-2020 - Practice Test II added with 50 new questions
This exam is designed for candidates looking to demonstrate foundation level knowledge of cloud services and how those services are provided with Microsoft Azure. The exam is intended for candidates with non-technical backgrounds, such as those involved in selling or purchasing cloud based solutions and services or who have some involvement with cloud based solutions and services, as well as those with a technical background who have a need to validate their foundation level knowledge around cloud services. Technical IT experience is not required however some general IT knowledge or experience would be beneficial.
This exam can be taken as an optional first step in learning about cloud services and how those concepts are exemplified by Microsoft Azure. It can be taken as a precursor to Microsoft Azure or Microsoft cloud services exams. While it would be a beneficial first step, validating foundation level knowledge, taking this exam is not a pre-requisite before taking any other Azure-based certifications.
In this course, You would find detailed explanations along with lab demonstrations for the services in Azure. There are review questions after every chapter and this would test your understanding chapter by chapter.
Here is the Agenda of the Az 900 Microsoft Azure Fundamentals Certification
Module 1 : Understand cloud concepts (15-20%)
Describe the benefits and considerations of using cloud services
· understand terms such as High Availability, Availability, Elasticity, Agility, Fault Tolerance, and Disaster Recovery
· understand the principles of economies of scale
· understand the differences between Capital Expenditure (CapEx) and Operational Expenditure (OpEx)
· understand the consumption-based model
Describe the differences between Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS)
· describe Infrastructure-as-a-Service (IaaS)
· describe Platform-as-a-Service (PaaS)
· describe Software-as-a-Service (SaaS)
· compare and contrast the three different service types
Describe the differences between Public, Private and Hybrid cloud models
· describe Public cloud
· describe Private cloud
· describe Hybrid cloud
· compare and contrast the three different cloud models
Module 2 : Understand core Azure services (30-35%)
Understand the core Azure architectural components
· describe Regions
· describe Availability Zones
· describe Resource Groups
· describe Azure Resource manager
· describe the benefits and usage of core Azure architectural components
Describe some of the core products available in Azure
· describe products available for Compute such as Virtual Machines, Virtual Machine Scale Sets, App Service and Functions
· describe products available for Networking such as Virtual Network, Load Balancer, VPN Gateway, Application Gateway and Content Delivery Network
· describe products available for Storage such as Blob Storage, Disk Storage, File Storage, and Archive Storage
· describe products available for Databases such as CosmosDB, Azure SQL Database, Azure Database Migration service, and Azure SQL Data Warehouse
· describe the Azure Marketplace and its usage scenarios
Describe some of the solutions available on Azure
· describe Internet of Things (IoT) and products that are available for IoT on Azure such as IoT Fundamentals, IoT Hub and IoT Central
· describe Big Data and Analytics and products that are available for Big Data and Analytics such as SQL Data Warehouse, HDInsight and Data Lake Analytics
· describe Artificial Intelligence (AI) and products that are available for AI such as Azure Machine Learning Service and Studio
· describe Server less computing and Azure products that are available for serverless computing such as Azure Functions, Logic Apps and App grid
· describe the benefits and outcomes of using Azure solutions
Understand Azure management tools
· understand Azure tools such as Azure CLI, PowerShell, and the Azure Portal
· understand Azure Advisor
Module 3 :Understand security, privacy, compliance, and trust (25-30%)
Understand securing network connectivity in Azure
· describe Azure Firewall
· describe Azure DDoS Protection
· describe Network Security Group (NSG)
· choose an appropriate Azure security solution
Describe core Azure Identity services
· understand the difference between authentication and authorization
· describe Azure Active Directory
· describe Azure Multi-Factor Authentication
Describe security tools and features of Azure
· describe Azure Security
· understand Azure Security center usage scenarios
· describe Key Vault
· describe Azure Information Protection (AIP)
· describe Azure Advanced Threat Protection (ATP)
Describe Azure governance methodologies
· describe Azure Policies
· describe Initiatives
· describe Role-Based Access Control (RBAC)
· describe Locks
· describe Azure Advisor security assistance
Understand monitoring and reporting options in Azure
· describe Azure Monitor
· describe Azure Service Health
· understand the use cases and benefits of Azure Monitor and Azure Service Health
Understand privacy, compliance and data protection standards in Azure
· understand industry compliance terms such as GDPR, ISO and NIST
· understand the Microsoft Privacy Statement
· describe the Trust center
· describe the Service Trust Portal
· describe Compliance Manager
· determine if Azure is compliant for a business need
· understand Azure Government services
· understand Azure Germany services
Module 4 : Understand Azure pricing and support (25-30%)
Understand Azure subscriptions
· describe an Azure subscription
· understand the uses and options with Azure subscriptions
Understand planning and management of costs
· understand options for purchasing Azure products and services
· understand options around Azure Free account
· understand the factors affecting costs such as resource types, services, locations, ingress and egress traffic
· understand Zones for billing purposes
· understand the Pricing calculator
· understand the Total Cost of Ownership (TCO) calculator
· understand best practices for minimizing Azure costs such as performing cost analysis, creating spending limits and quotas, and using tags to identify cost owners; use Azure reservations; use Azure Advisor recommendations
· describe Azure Cost Management
Understand the support options available with Azure
· understand support plans that are available such as Dev, Standard, Professional Direct and Premier
· understand how to open a support ticket
· understand available support channels outside of support plan channels
· describe the Knowledge Center
Describe Azure Service Level Agreements (SLAs)
· describe a Service Level Agreement (SLA)
· determine SLA for a particular Azure product or service
Understand service lifecycle in Azure
· understand Public and Private Preview features
· understand how to access Preview features
· understand the term General Availability (GA)
· monitor feature updates
After this course , you are fully prepared and confident with the knowledge required to pass the AZ 900 Exam.
Even with zero Azure/Cloud experience, this course will prepare you for the Microsoft AZ-900 exam. This course is an entry point to rest of the Azure certifications. So, if you are looking for an entry point to Microsoft Azure, this AZ-900 exam prep course is the ultimate way to go!
Who this course is for:
Students looking to demonstrate foundation level knowledge of cloud services
Students looking to know how those services are provided with Microsoft Azure
This Course Covers the "Understanding Cloud Concepts" Exam Objectives for the AZ-900 Exam
Students Interested in Preparing for the AZ-900 Azure Certification Exam
Students with a technical background who have a need to validate their foundational level knowledge around cloud services
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