101: Application Delivery Fundamentals Certification Video Training Course
101: Application Delivery Fundamentals Certification Video Training Course includes 132 Lectures which proven in-depth knowledge on all key concepts of the exam. Pass your exam easily and learn everything you need with our 101: Application Delivery Fundamentals Certification Training Video Course.
Curriculum for F5 101 Certification Video Training Course
101: Application Delivery Fundamentals Certification Video Training Course Info:
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This course has been designed as a complete beginner-to-intermediate training program for professionals, students, and technology enthusiasts who want to learn how to build, manage, and scale cloud infrastructure using Terraform on Microsoft Azure. The goal is to demystify Infrastructure as Code and provide a practical foundation so learners can immediately apply concepts to real-world environments. By the end of the training, you will have the knowledge, confidence, and experience to use Terraform not just as a tool but as a strategic enabler for your cloud career.
Cloud computing has shifted from being a convenience to becoming the very backbone of modern digital organizations. As enterprises migrate workloads and services to Azure, there is an increasing demand for infrastructure automation and consistency. Terraform allows engineers and architects to declare infrastructure in code, enabling repeatable deployments, version control integration, and seamless collaboration. Azure, as one of the top global cloud providers, integrates deeply with Terraform. Understanding how these two technologies work together gives you an essential skill set for the future of IT and DevOps.
This course is divided into structured modules that gradually build on one another. Each concept is paired with demonstrations and exercises so that learners can reinforce theoretical knowledge with hands-on practice. The journey begins with the absolute basics of Terraform and Azure, then progresses into more complex concepts like state management, modules, networking, and enterprise-level deployments.
Learners who successfully complete the course will be able to design and deploy scalable infrastructure on Azure, manage configuration changes with minimal risk, and collaborate effectively in teams using version-controlled infrastructure. You will also gain an understanding of how Terraform fits within modern DevOps pipelines, bridging the gap between development and operations through automation.
Theory is valuable, but this course emphasizes practice. Every topic covered is followed by a demonstration or lab exercise where learners can replicate the instructor’s process or extend it with their own creativity. By following along with the practical sections, you will gain muscle memory and confidence in executing real Terraform commands, troubleshooting errors, and interpreting Azure deployment results.
This first module introduces the philosophy behind Infrastructure as Code. Learners will explore the evolution of cloud management from manual portal clicks to scripted provisioning and finally to declarative, version-controlled infrastructure. The module will explain why manual provisioning is error-prone and how IaC tools like Terraform solve these challenges.
You will learn the difference between imperative and declarative models, understand the advantages of infrastructure repeatability, and discover how Terraform abstracts provider-specific complexity into a consistent workflow.
The practical exercise will include setting up the local development environment, installing Terraform, and connecting to an Azure subscription. By the end of the first lab, learners will have verified their setup and executed their first terraform init and terraform apply commands.
The second module delves into the building blocks of Terraform. Learners will study providers, resources, variables, and outputs. This module will serve as the essential grammar of the Terraform language, known as HCL (HashiCorp Configuration Language).
This section explains how providers like AzureRM integrate with Terraform to expose resources such as virtual machines, storage accounts, and networking components.
You will learn how variables enable reusable configurations, how outputs provide visibility into deployed infrastructure, and how Terraform maintains state to track managed resources.
The lab will guide learners in creating their first Azure resource group and virtual network using Terraform, applying configuration, and validating the infrastructure through the Azure Portal.
State management is one of the most important yet often misunderstood aspects of Terraform. This module emphasizes best practices for handling state files securely and collaboratively.
The course explains the difference between local state files stored on the developer’s machine and remote state stored in Azure Storage accounts.
Learners will explore how remote backends prevent conflicts in team environments and how locking mechanisms ensure safe deployments.
You will configure a remote backend using Azure Blob Storage, test collaboration scenarios, and practice retrieving outputs from shared state.
This module introduces the concept of modules, which act as reusable templates for infrastructure components. Modules bring modularity, consistency, and scalability to deployments.
You will learn how to structure code into modules, call modules in root configurations, and pass variables to make modules adaptable to different scenarios.
The training covers how to consume modules from the Terraform Registry and how to publish private modules for team use.
Learners will build a reusable module for deploying a virtual network and integrate it into multiple environments, reducing redundancy and promoting code reusability.
Azure networking is the backbone of cloud architecture. This module focuses on building virtual networks, subnets, network security groups, and load balancers with Terraform.
The section explains how to design resilient and secure virtual networks aligned with Azure best practices.
You will learn how to attach network security groups, configure inbound and outbound rules, and ensure connectivity is properly restricted.
Learners will deploy a multi-subnet virtual network, attach network security groups, and validate connectivity between deployed virtual machines.
Compute resources are the workhorses of cloud workloads. This module dives into creating and managing Azure Virtual Machines with Terraform.
You will learn how to define VM configurations, attach disks, and manage availability sets.
The module explores Terraform provisioners for post-deployment customization such as installing software packages or configuring services.
Learners will deploy Linux and Windows VMs with Terraform, access them remotely, and test automated configuration scripts.
Cloud applications require data persistence and security. This module highlights how Terraform provisions Azure Storage, databases, and integrates with Azure Active Directory.
You will study how to provision Blob Storage, SQL Databases, and secure them with appropriate role assignments.
This section covers Terraform’s ability to define role assignments and policies in Azure Active Directory.
Learners will provision a storage account, create a SQL database, and assign access policies to service principals.
After mastering the basics, learners will move on to scaling deployments with Terraform. This module explains autoscaling, advanced networking, and integration with Azure Kubernetes Service.
You will learn how to use Terraform to define autoscale sets and balance workloads.
The course demonstrates deploying AKS clusters, load balancers, and integrating monitoring solutions.
Learners will deploy an AKS cluster with Terraform, configure node pools, and validate containerized workloads.
Terraform shines when integrated into DevOps pipelines. This module explores continuous integration and deployment using Azure DevOps or GitHub Actions.
Learners will understand how to define Terraform workflows within pipeline YAML files.
This section focuses on securely managing credentials and sensitive data during automated deployments.
You will build a Terraform pipeline in Azure DevOps, triggering infrastructure deployments automatically when configuration changes are committed to a repository.
The final module synthesizes everything into real-world project scenarios. Learners will design end-to-end infrastructure using Terraform on Azure.
The training walks through best practices for multi-environment setups, secure state management, and scalable infrastructure design.
Learners will deploy a production-like environment with virtual networks, compute instances, storage, monitoring, and identity integration using Terraform.
At the conclusion of the course, learners will have acquired a comprehensive skill set in Terraform and Azure. The structured progression from fundamentals to advanced implementations ensures that both newcomers and experienced professionals can gain value. You will leave the course with a portfolio of practical exercises and projects that demonstrate your capability to manage infrastructure as code on Azure.
This course is designed with inclusivity in mind, meaning that learners from different professional paths can participate and benefit from the content. However, a foundational understanding of cloud computing concepts will make the journey smoother. Familiarity with what a virtual machine, storage account, and network is will be extremely helpful, but not mandatory. Learners with prior exposure to any cloud provider—be it Azure, AWS, or Google Cloud—will find the content easier to digest, while absolute beginners will gain their first structured experience through hands-on labs.
Since this course focuses on Terraform in the Azure ecosystem, having a basic grasp of the Azure portal and its core services will give learners a head start. You do not need to be an Azure expert, but you should know how to navigate the portal, locate services, and recognize common terms like subscription, resource group, and virtual network. If you have ever created a virtual machine or uploaded a file to Azure Storage manually, that prior exposure will help anchor your Terraform learning.
Terraform is a command-line-driven tool, so learners should be comfortable working in terminal environments. You should know how to open a terminal or PowerShell window, run commands, and understand basic file navigation. Experience with scripting languages such as Bash or PowerShell is helpful but not required. Even if you are new to the command line, the course guides you through each step so you can gradually build confidence.
Although this is not a programming course, learners will interact with HashiCorp Configuration Language (HCL), which resembles coding. A logical mindset and comfort with editing text files will make the process easier. Concepts such as declaring variables, assigning values, and structuring blocks will feel natural to learners with any software development exposure, but they are introduced in a beginner-friendly way for those without coding backgrounds.
Since Terraform configurations are best managed in version control systems, it is advantageous to have some experience with Git. Knowing how to clone repositories, commit changes, and push to remote branches will help you participate in collaborative exercises and later integrate Terraform into CI/CD pipelines. The course provides context for learners new to Git, but a basic comfort level will reduce the learning curve.
A modern computer with reliable internet access is essential. The course is not resource-heavy, but learners will need to install Terraform and the Azure CLI. Both tools run on Windows, macOS, and Linux, giving flexibility regardless of your platform. At least 8 GB of RAM and a dual-core processor are recommended for smooth operation, especially if you plan to deploy larger infrastructure components such as Kubernetes clusters. Disk space requirements are minimal, but you should keep at least 10 GB free to handle software installations and logs.
To practice and complete hands-on labs, you will need access to an active Azure subscription. Learners without one can sign up for a free Azure account, which provides credits for the first month and free-tier services for an extended period. This is sufficient for most exercises in the course. It is important to ensure that you have the necessary permissions to create and manage resources in the subscription. For learners working with organizational accounts, confirmation from administrators may be required to avoid permission restrictions.
Installing Terraform is a straightforward process, but it is a non-negotiable requirement. The course begins by guiding learners through the download and installation of Terraform binaries on their operating system. You will also learn how to configure your environment variables to ensure that Terraform commands can be executed globally from any terminal.
Alongside Terraform, the Azure CLI is required for authentication and management tasks. Learners must install the Azure CLI and log in using their credentials to ensure Terraform can communicate with Azure resources. The installation process is supported on all major operating systems, and learners will practice using simple commands to confirm their setup.
Since Terraform deployments interact directly with Azure’s global services, a stable internet connection is required throughout the course. Learners working from restricted corporate networks should confirm that outbound access to Azure endpoints is permitted. Without network connectivity, Terraform cannot apply configurations, so testing your setup early ensures smooth progress.
The course is structured to be flexible yet immersive. Learners should be prepared to dedicate consistent blocks of time each week. A recommended commitment is four to six hours weekly, which allows for steady progress through lectures and exercises. However, more intensive learners can accelerate the journey by investing additional time, while part-time learners may stretch it over a longer duration. The modular design accommodates both paces.
This is not a passive course. Reading and watching demonstrations are valuable, but true mastery comes from hands-on engagement. Learners must be willing to actively type out configurations, run commands, troubleshoot errors, and validate infrastructure on Azure. The exercises are designed to build not only understanding but also confidence. Skipping labs will diminish the learning experience, while fully participating ensures that concepts become second nature.
Terraform, like any technical tool, has its quirks and complexities. Learners should approach the course with patience and a problem-solving mindset. Errors during deployments are not failures; they are learning opportunities. The course teaches you how to read error messages, identify causes, and apply fixes. Developing resilience and analytical skills will prepare you for real-world scenarios where infrastructure deployment rarely goes exactly as planned.
Although learners can progress individually, the course encourages collaboration. Engaging with peers in discussion forums or study groups will deepen understanding and provide diverse perspectives. Since Terraform is often used in team environments, developing communication and collaboration skills during the course will mirror workplace practices.
There are certain skills not strictly required but extremely beneficial for accelerating your learning. Knowledge of YAML or JSON will make configuration syntax feel familiar. Understanding networking basics such as IP addressing, subnets, and firewalls will provide context for Azure networking modules. Awareness of DevOps practices such as CI/CD pipelines will make the final integration module easier to grasp. While the course introduces these ideas, prior familiarity adds depth to the learning journey.
To meet requirements effectively, learners must prepare their local environment before diving into the main content. This includes ensuring administrative access to their machine for installing software, setting up a preferred code editor such as Visual Studio Code, and configuring plugins for Terraform. A clean and organized workspace reduces distractions and improves focus. The course provides step-by-step guidance to establish this environment in the opening module.
Using Azure means working with live resources that incur costs if left running beyond the free-tier allocation. Learners must be vigilant in cleaning up resources after each lab exercise to avoid unnecessary charges. Terraform makes this easier with commands such as terraform destroy, but learners should develop a habit of verifying deletions in the Azure portal. Additionally, handling sensitive data such as credentials responsibly is crucial. The course teaches secure practices for storing and using secrets, but learners must remain mindful throughout.
For learners participating through their workplace or institution, additional requirements may apply. Some organizations enforce security policies that restrict access to cloud services or require multi-factor authentication for Azure accounts. Learners should clarify these requirements with their administrators in advance to avoid disruptions during the course.
Beyond technical setups and accounts, the most important requirement is the learner’s mindset. Terraform and Azure are powerful but vast ecosystems, and curiosity drives deeper exploration. Learners who consistently ask questions, explore beyond the lab instructions, and experiment with variations in configurations will gain the most from the course. Persistence ensures that challenges become stepping stones rather than obstacles.
Learners should also be prepared to engage with the course’s support structures. The instructor and support team can assist with clarifications, but learners must take the initiative to articulate their questions clearly. Using screenshots, error logs, and detailed descriptions when seeking help improves the resolution process and mirrors professional troubleshooting practices.
The course is a starting point, not the final destination. Learners should view the requirements as laying the groundwork for a career-long skill set. Setting up Terraform and Azure today ensures readiness for more advanced topics in the future, such as multi-cloud deployments, enterprise governance, and advanced DevOps workflows. Approaching the course with a long-term perspective prepares learners to build on the foundation long after the training concludes.
This course welcomes learners from diverse backgrounds but sets clear expectations to maximize success. Technical familiarity with cloud concepts, comfort with the command line, and access to an Azure subscription are essential. Hardware and internet readiness ensure smooth operation, while curiosity, persistence, and hands-on participation transform requirements into achievements. By preparing thoroughly before and during the course, learners will not only meet the outlined requirements but also cultivate habits that serve them throughout their careers in cloud engineering and DevOps.
This course is not simply a collection of lectures; it is a structured learning experience that transforms the way you think about infrastructure management. Rather than relying on manual configurations and countless clicks through the Azure portal, you will learn to describe your infrastructure in declarative code, version that code, share it with your team, and reproduce it across environments with confidence. The description of this course centers on bridging the gap between theory and hands-on practice. Each concept is introduced with clarity and followed by a guided exercise, ensuring that learners do not just understand Terraform in abstract terms but also use it in real scenarios. The course is designed for both absolute beginners and those with partial exposure who want to formalize their skills and move toward professional-grade Infrastructure as Code practices.
There are many resources on Terraform and Azure, but what makes this course distinctive is its systematic progression. It begins with the basics—what Terraform is, how to install it, and how it integrates with Azure—and gradually layers on complexity in manageable increments. Instead of overwhelming learners with advanced scenarios from the start, it respects the beginner’s perspective and scaffolds knowledge over time. This ensures that learners not only absorb information but also develop confidence as they move from module to module. Another differentiator is the focus on real-world application. Every exercise is modeled after actual infrastructure use cases encountered by professionals in cloud engineering and DevOps roles. By the end, learners are not simply repeating commands; they are designing, deploying, and managing infrastructure that mirrors production-ready systems.
The description of outcomes is clear: learners will master the essentials of Terraform syntax, providers, and resources, and gain the ability to manage Azure infrastructure through repeatable, automated processes. They will understand state management, modules, networking, virtual machines, storage, databases, and scaling strategies. Learners will also experience integrating Terraform into DevOps pipelines, enabling collaborative workflows. These outcomes prepare learners not just for personal projects but also for professional roles where infrastructure automation is critical.
This course follows a hands-on pedagogy. The description emphasizes that learners will learn by doing, not just by reading or watching. Terraform is best learned through trial and iteration, so every concept is paired with a guided lab. Mistakes are expected, and troubleshooting forms part of the learning process. This approach mimics the reality of professional environments, where error messages and debugging are part of daily work. The training is built to foster resilience, adaptability, and analytical thinking, all of which are as important as technical knowledge.
The course is carefully structured to provide a coherent learning path, but it also allows flexibility. Learners can move sequentially through modules for the full experience or focus on specific modules depending on their goals. For example, someone familiar with networking might move quickly through that module and focus more on state management or CI/CD integration. The modular nature ensures that the course serves both comprehensive learners and those with targeted learning objectives.
The description highlights that this course is focused on Terraform and Microsoft Azure, but it does not ignore the broader context. Learners will also gain awareness of how Terraform interacts with other providers and why Azure-specific knowledge is valuable. Azure’s unique services, such as Azure Kubernetes Service and Azure Active Directory, make this training particularly relevant for organizations invested in Microsoft’s ecosystem. By combining Terraform’s provider-agnostic capabilities with Azure’s global infrastructure, learners gain a dual advantage: skills that are broadly transferable and knowledge that is deeply relevant.
The course is ideally suited for absolute beginners who are curious about Infrastructure as Code but unsure where to start. Many learners come with little more than curiosity and a willingness to learn. The course scaffolds knowledge so that even those without prior coding experience can succeed. Through patient explanations, demonstrations, and gradual skill-building, beginners gain confidence and practical ability.
System administrators, network engineers, and IT support professionals often find themselves managing cloud resources manually. This course is for those professionals who recognize the need to automate repetitive tasks, reduce errors, and embrace modern cloud practices. For them, Terraform provides a pathway into Infrastructure as Code, and this course provides the structured learning required to transition from manual operations to automated workflows.
For DevOps practitioners, Terraform is a cornerstone skill. This course caters to engineers who want to integrate Terraform into pipelines, collaborate with development teams, and manage scalable environments. By working through modules on state management, modules, and CI/CD integration, DevOps professionals gain practical tools to elevate their workflow and align with industry standards.
Developers who typically focus on application code but want to understand infrastructure will find this course accessible and highly valuable. Terraform introduces them to the world of infrastructure without requiring them to abandon their development mindset. They will appreciate the declarative coding style of Terraform and how it integrates into their familiar version control workflows. For developers seeking to bridge the gap between application and infrastructure, this course provides a practical entry point.
Students in computer science, information technology, or related fields will benefit greatly from this course as it introduces them to a skill set increasingly demanded in the job market. Likewise, professionals looking to switch careers into cloud engineering, DevOps, or site reliability engineering will find the course to be a career enabler. The clear progression and hands-on practice give career changers confidence to demonstrate real skills in interviews and projects.
Not all learners take this course for professional reasons. Some are enthusiasts who enjoy exploring new technologies and experimenting with cloud environments. For them, the course provides a structured way to channel curiosity into meaningful projects. They can deploy personal websites, build hobby projects, or simply explore Azure services while learning Terraform.
Beyond individual learners, this course also serves organizations that want to upskill their teams. Companies moving workloads to Azure benefit from having employees who understand Infrastructure as Code. By enrolling teams, organizations foster collaboration, standardize practices, and ensure consistency in deployments. The course equips teams with shared vocabulary, tools, and best practices that enhance efficiency and reduce operational risk.
The design of the course acknowledges that not all learners come with the same level of experience. Some may have cloud expertise but no Terraform knowledge, while others may know Terraform basics but little about Azure. The modular nature of the course ensures that each type of learner can progress at their own pace, focusing on areas most relevant to their background.
For learners seeking professional growth, this course provides a competitive edge. Terraform is one of the most sought-after skills in cloud and DevOps roles, and Azure is a leading cloud provider used by enterprises worldwide. Mastering both through this course demonstrates practical expertise that employers value highly.
By focusing on practical, hands-on labs, the course ensures that learners do not just understand concepts but can also apply them. This translates directly into workplace confidence. Learners leave the course ready to manage infrastructure, collaborate in teams, and contribute to production systems.
Although the course emphasizes Azure, the knowledge of Terraform gained here is transferable to other providers like AWS and Google Cloud. Learners gain a portable skill set that remains valuable even if they move across organizations or industries.
The course is designed to be accessible to a wide audience. It avoids unnecessary jargon, explains terms in plain language, and provides step-by-step instructions. This inclusivity ensures that learners from diverse educational and professional backgrounds can benefit.
The cloud landscape evolves rapidly, but Infrastructure as Code remains a foundational practice. By mastering Terraform and Azure through this course, learners invest in skills that remain relevant regardless of shifts in tools or platforms. The concepts of declarative infrastructure, state management, and automation endure even as technologies evolve.
The description of this course frames it not only as a technical training but as a gateway to a new mindset. Infrastructure is no longer something to be manually assembled but something to be described, versioned, shared, and reproduced. This shift in perspective is transformative for individuals and organizations alike. The course’s vision is to empower learners to embrace this new paradigm and to do so with confidence, clarity, and practical competence.
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