Showing posts with label Azure. Show all posts
Showing posts with label Azure. Show all posts

Friday, 20 June 2025

Docker for Beginners with Hands-on labs

 

Docker for Beginners with Hands-On Labs – The Practical Guide to Containerization


Introduction to the Course

The course "Docker for Beginners with Hands-on Labs" is a practical, beginner-friendly introduction to containerization using Docker — one of the most essential tools in modern DevOps and software development. Whether you're a developer, sysadmin, cloud engineer, or simply someone curious about scalable deployment, this course helps you understand what Docker is, why it's revolutionizing software delivery, and how to use it effectively through hands-on practice. It’s a perfect launchpad for those new to containers and seeking to build a solid foundation with real-world applications.

Why Learn Docker?

Docker is a platform designed to simplify application development and deployment by allowing developers to package software into standardized units called containers. These containers include everything the application needs to run — code, libraries, dependencies — and can run anywhere, from a developer's laptop to a cloud server. Learning Docker equips you to build, ship, and run applications faster and more reliably, which is a huge advantage in today’s agile, cloud-native world. Companies like Netflix, PayPal, and Spotify use Docker extensively to scale their services efficiently.

Course Objectives

By the end of this course, learners will be able to:

Understand the core concepts behind containers and Docker

Install and configure Docker on different operating systems

Build, run, and manage Docker containers and images

Use Dockerfiles to automate image creation

Work with Docker volumes and networks

Understand the basics of Docker Compose for multi-container applications

Apply real-world use cases in hands-on labs

This isn’t just theory — each concept is paired with guided exercises to make sure you gain practical, job-ready experience.

Getting Started with Containers

The course starts with an intuitive explanation of what containers are, how they differ from virtual machines, and why they matter. You'll learn that containers are lightweight, fast, and portable, making them ideal for modern microservices architecture. Through analogies and visuals, the course breaks down complex infrastructure topics into easily digestible concepts, ensuring even complete beginners can follow along.

Docker Architecture and Components

Next, learners explore the Docker architecture, including the Docker Engine, Docker CLI, and Docker Hub. You’ll learn how the Docker client interacts with the daemon, how images are pulled from Docker Hub, and how containers are run from those images. The course walks you through commands to:

Pull official images from Docker Hub

Run containers in interactive or detached mode

Inspect, stop, and remove containers

This section lays the groundwork for more advanced operations later in the course.

Building Docker Images and Dockerfiles

One of Docker’s most powerful features is the ability to build custom images using a Dockerfile — a script that defines how your image is constructed. The course teaches how to:

Write simple and multi-stage Dockerfiles

Use base images effectively

Add environment variables and configuration

Optimize image size for production

You’ll build images for sample web apps, experiment with builds, and learn to troubleshoot when things go wrong. This is an essential step in making applications portable and reproducible.

Docker Volumes and Persistent Data

Containers are ephemeral by nature — meaning data is lost when the container stops — but that’s not ideal for most applications. This module introduces Docker volumes, which let containers persist and share data. You’ll learn how to:

Create and mount volumes

Use bind mounts for local development

Understand the differences between anonymous and named volumes

These concepts are particularly useful when running databases or any service that needs to retain state.

Docker Networks and Communication

For real applications, containers need to talk to each other. Docker provides built-in networking capabilities that let you isolate, link, or expose services as needed. You’ll explore:

Bridge, host, and overlay networks

Port mapping and linking containers

Container DNS and service discovery

Hands-on labs demonstrate how to connect a front-end container with a back-end API and a database, simulating real-world service orchestration.

Docker Compose: Multi-Container Applications

One of the highlights of the course is the introduction to Docker Compose, a tool that lets you define and run multi-container applications using a simple YAML file. You’ll learn to:

Create a docker-compose.yml file

Define services, networks, and volumes

Scale services using docker-compose up --scale

Bring the entire app up or down with one command

This module prepares you to build more complex, modular systems and is essential for modern DevOps workflows.

Hands-On Labs and Projects

Unlike many theory-heavy courses, this course emphasizes hands-on learning. Each concept is reinforced through interactive labs and practical assignments. For example:

Build and deploy a simple Python or Node.js app using Docker

Set up a multi-container stack with a web app and a database

Use logs and commands to troubleshoot running containers

These labs mimic real tasks you’d face in a development or DevOps role, helping you become job-ready.

Who Should Take This Course?

This course is perfect for:

Developers who want to simplify their dev environments

DevOps engineers and SREs getting started with containerization

System administrators looking to modernize infrastructure

Students and tech enthusiasts exploring cloud-native tools

No prior Docker experience is required, though basic knowledge of the Linux terminal and command-line operations is helpful.

Certification and Value

Upon completion, learners receive a certificate of completion that validates their ability to use Docker for containerizing applications and services. More importantly, you'll gain hands-on experience that is immediately applicable to real projects. Docker skills are increasingly requested in job listings across software engineering, DevOps, and IT operations — and this course provides a direct path to gaining them.

What Comes After This?

Once you’ve built a strong foundation in Docker, you can advance to:

Kubernetes for Orchestration

CI/CD pipelines using Jenkins and Docker

Docker Security and Image Scanning

Deploying containers on AWS, Azure, or GCP

Microservices architecture and container monitoring tools

The containerization journey doesn’t stop at Docker — it only starts there.

Join Now : Docker for Beginners with Hands-on labs

Final Thoughts

The "Docker for Beginners with Hands-on Labs" course is a well-structured, immersive way to get started with one of the most transformative technologies in modern software development. With its focus on practice over theory, it ensures you don’t just learn Docker — you use Docker. Whether you're trying to streamline your development process, deploy apps more reliably, or start a career in DevOps, this course offers the practical knowledge and confidence to move forward.

Wednesday, 24 January 2024

Microsoft Azure Fundamentals AZ-900 Exam Prep Specialization

 


Advance your subject-matter expertise

Learn in-demand skills from university and industry experts

Master a subject or tool with hands-on projects

Develop a deep understanding of key concepts

Earn a career certificate from Microsoft

Join Free: Microsoft Azure Fundamentals AZ-900 Exam Prep Specialization

Specialization - 4 course series

Cloud computing is rapidly expanding into all areas of businesses, creating new and exciting career opportunities. These opportunities cover a broad range of roles, from developers and architects to security professionals and data scientists. This program will give you the fundamental knowledge, skills, and confidence to begin your Microsoft Azure certification journey.

This Microsoft Azure Fundamentals AZ-900 Exam Prep Specialization consists of four courses that will act as a bedrock of fundamental knowledge to prepare you for the AZ-900 certification exam and for a career in the cloud. The content of this program is tightly aligned to the AZ-900 exam objective domains.

This program will provide foundational level knowledge on Microsoft Azure concepts; core Microsoft Azure services; core solutions and management tools; general security and network security; governance, privacy, and compliance features; Microsoft Azure cost management, and service level agreements. Ideal for IT personnel just beginning to work with Microsoft Azure or anyone wanting to learn about it.

This Specialization will prepare you to take the AZ-900: Microsoft Azure Fundamentals exam. Upon completion of the Specialization, you will be offered a discount to the Microsoft Azure Fundamentals Certification Exam to be redeemed at Pearson Vue, Microsoft's proctor exam site. Limited discount vouchers are available on first-come-first-serve basis. Coursera and Microsoft may end the offer at any time. 

Applied Learning Project

Learners will engage in interactive exercises throughout this program that offers opportunities to practice and implement what they are learning. They use the Microsoft Learn Sandbox. This a free environment that allows learners to explore Microsoft Azure and get hands-on with live Microsoft Azure resources and services.

For example, when they learn about creating a SQL database, they will work in a temporary Azure environment called the Sandbox. The beauty about this is that you will be working with real technology but in a controlled environment, which allows you to apply what you learn, and at your own pace.

You will need a Microsoft account to sign into the Sandbox. If you don't have one, you can create one for free. The Learn Sandbox allows free, fixed-time access to a cloud subscription with no credit card required. Learners can safely explore, create, and manage resources without the fear of incurring costs or "breaking production".

Azure Data Lake Storage Gen2 and Data Streaming Solution

 


What you'll learn

How to use Azure Data Lake Storage to make processing Big Data analytical solutions more efficient. 

How to set up a stream analytics job to stream data and manage a running job

How to describe the concepts of event processing and streaming data and how this applies to Azure Stream Analytics 

How to use Advanced Threat Protection to proactively monitor your system and describe the various ways to upload data to Data Lake Storage Gen 2

Join Free: Azure Data Lake Storage Gen2 and Data Streaming Solution

There are 4 modules in this course

In this course, you will see how Azure Data Lake Storage can make processing Big Data analytical solutions more efficient and how easy it is to set up. You will also explore how it fits into common architectures, as well as the different methods of uploading the data to the data store. You will examine the myriad of security features that will ensure your data is secure. Learn the concepts of event processing and streaming data and how this applies to Azure Stream Analytics. You will then set up a stream analytics job to stream data, and learn how to manage and monitor a running job.

This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services for anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta). You will take a practice exam that covers key skills measured by the certification exam.

This is the ninth course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. 

By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

Prepare for DP-203: Data Engineering on Microsoft Azure Exam

 


What you'll learn

How to refresh and test your knowledge of the skills mapped to all the main topics covered in the DP-203 exam.

How to demonstrate proficiency in the skills measured in Exam DP-203: Data Engineering on Microsoft Azure

How to outline the key points covered in the Microsoft Data Engineer Associate Specialization

How to describe best practices for preparing for the Exam DP-203: Data Engineering on Microsoft Azure

Join Free: Prepare for DP-203: Data Engineering on Microsoft Azure Exam

There are 3 modules in this course

Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses.​​ In this course, you will prepare to take the DP-203 Microsoft Azure Data Fundamentals certification exam. 

You will refresh your knowledge of how to use various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis. You will test your knowledge in a practice exam​ mapped to all the main topics covered in the DP-203 exam, ensuring you’re well prepared for certification success. 

You will also get a more detailed overview of the Microsoft certification program and where you can go next in your career. You’ll also get tips and tricks, testing strategies, useful resources, and information on how to sign up for the DP-203 proctored exam. By the end of this course, you will be ready to sign-up for and take the DP-203 exam.​

This is the last course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. 

By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

Prepare for DP-100: Data Science on Microsoft Azure Exam

 


What you'll learn

Outline the key points covered in the Data Science on Microsoft Azure Exam course

Describe best practices for preparing for the Exam DP-100: Designing and Implementing a Data Science Solution on Azure

Demonstrate proficiency in the skills measured in the DP-100: Designing and Implementing a Data Science Solution on Azure

Join Free: Prepare for DP-100: Data Science on Microsoft Azure Exam

There are 6 modules in this course

Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses.​​ In this course, you will prepare to take the DP-100 Azure Data Scientist Associate certification exam. 

You will refresh your knowledge of how to plan and create a suitable working environment for data science workloads on Azure, run data experiments, and train predictive models. In addition, you will recap on how to manage, optimize, and deploy machine learning models into production.

You will test your knowledge in a practice exam​ mapped to all the main topics covered in the DP-100 exam, ensuring you’re well prepared for certification success.

You will also get a more detailed overview of the Microsoft certification program and where you can go next in your career. You’ll also get tips and tricks, testing strategies, useful resources, and information on how to sign up for the DP-100 proctored exam. By the end of this course, you will be ready to sign-up for and take the DP-100 exam.​

This is the fifth course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azure certification exam.

The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at a cloud-scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. 

This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. It teaches data scientists how to create end-to-end solutions in Microsoft Azure. Students will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions, and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

Microsoft Azure Databricks for Data Engineering

 


What you'll learn

How to work with large amounts of data from multiple sources in different raw formats

How to create production workloads on Azure Databricks with Azure Data Factory

How to build and query a Delta Lake 

How to perform data transformations in DataFrame. How to understand the architecture of an Azure Databricks Spark Cluster and Spark Jobs 

Join Free: Microsoft Azure Databricks for Data Engineering

There are 9 modules in this course

In this course, you will learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.

You will discover the capabilities of Azure Databricks and the Apache Spark notebook for processing huge files. You will come to understand the Azure Databricks platform and identify the types of tasks well-suited for Apache Spark. You will also be introduced to the architecture of an Azure Databricks Spark Cluster and Spark Jobs. You will work with large amounts of data from multiple sources in different raw formats.  you will learn how Azure Databricks supports day-to-day data-handling functions, such as reads, writes, and queries.

This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services for anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta). You will take a practice exam that covers key skills measured by the certification exam.

This is the eighth course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. 

By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

Data Integration with Microsoft Azure Data Factory

 


What you'll learn

How to create and manage data pipelines in the cloud 

How to integrate data at scale with Azure Synapse Pipeline and Azure Data Factory

Join Free: Data Integration with Microsoft Azure Data Factory

There are 8 modules in this course

In this course, you will learn how to create and manage data pipelines in the cloud using Azure Data Factory.

This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services. It is ideal for anyone interested in preparing for the DP-203: Data Engineering on Microsoft Azure exam (beta). 

This is the third course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. 

By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

Data Storage in Microsoft Azure

 


What you'll learn

You will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for your data.

Design and implement data storage and data security

Design and develop data processing

Monitor and optimize data storage and data processing

Join Free: Data Storage in Microsoft Azure

There are 5 modules in this course

Azure provides a variety of ways to store data: unstructured, archival, relational, and more. In this course, you will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data you want to store in the cloud.

This course part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta). 

This is the second in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. 

By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).

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