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DevOps Career Transformation Program

Unlock the full potential with our bespoke programs engineered to enhance collaboration, streamline deployments, and accelerate time-to-market.

Details

Since 2017

Tools Covered

Need Career Guidance

Our team provide personalised guidance to navigate through current industry trends and requirements

Schedule an Appointment

Next Program Starts

1st April 2025

Program Duration

6-10 months

Learning Format

Live, Online, Interactive

Plans Sessions Per Week Schedule Days Schedule Per Month Timing Duration
1 Wed 4 09:00 PM (IST) - 09:45 (IST) 45 Mins
2 Tue, Thursday 8 09:00 PM (IST) - 09:45 (IST) 45 Mins
3 Mon, Wed, Friday 12 09:00 PM (IST) - 09:45 (IST) 45 Mins

Rs. 2,999 / Month

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Plan Sessions Per Week Schedule Days Schedule Per Month Timing Duration
1 Wed 4 Flexible 48 Mins
2 Tuesday,Thursday 8 Flexible 48 Mins
3 Mon,Wed,Friday 12 Flexible 48 Mins

Rs. 9,999 / Month

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    Program Modules

    Optimizing Linux Systems for Peak Efficiency, Reliability, and Performance.

    Unlocking the Full Potential of Cloud with Scalable, Secure, and High-Performance Cloud Solutions.

    Empowering Python Development with Speed, Efficiency, and Reliability.

    Streamlining Infrastructure Management with Terraform for Scalable, Reliable, and Efficient Deployments.

    Accelerating DevOps with GitOps: Seamless, Reliable, and Automated Infrastructure Delivery.

    Red Hat: Build scalable, secure, and reliable applications tailored for enterprise environments.

    Docker: Simplify containerized application development and ensure seamless scalability and portability.

    Orchestrating Scalable and Resilient Applications with Kubernetes for Modern Infrastructure.

    Bringing Ideas to Life with Real-Time Collaboration and Dynamic Live Projects.

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    • Overview
      • Linux OS Distribution Preview
      • Linux/Unix OS Family
      • Test
    • 1. Object-Oriented Programming (OOP)
      • 1.1 Classes and Objects: Master the creation and use of classes and objects to structure your code effectively.
      • 1.2 Inheritance: Implement inheritance to reuse and extend functionality across classes.
      • 1.3 Polymorphism: Understand polymorphism to create flexible and dynamic methods in class
      • 1.4 Encapsulation: Learn to hide internal details and expose only necessary components.
    • 2. Advanced Data Structures
      • 2.1 Stacks and Queues: Understand the principles and applications of stacks and queues using Python libraries or custom implementations.
      • 2.2 Linked Lists: Create and manipulate singly and doubly linked lists.
      • 2.3 Trees: Implement binary trees, binary search trees, and explore tree traversal techniques (in-order, pre-order, post-order).
    • 3. Decorators and Generators
      • 3.1 Decorators: Master function and class decorators to modify behavior dynamically.
      • 3.2 Generators: Create efficient iterators with yield for handling large datasets.
      • 3.3 Context Managers: Use with statements and design custom context managers for resource management.
    • 4. Multithreading and Concurrency
      • 4.1 Threads: Learn to create and manage threads for parallel tasks.
      • 4.2 Global Interpreter Lock (GIL): Understand GIL’s limitations and workarounds for multithreading in Python.
      • 4.3 Multiprocessing: Use the multiprocessing module for true parallelism in CPU-bound tasks.
    • 5. Asynchronous Programming
      • 5.1 Asyncio Basics: Dive into asyncio to handle asynchronous tasks efficiently.
      • 5.2 Coroutines: Master the use of coroutines with async/await syntax.
      • 5.3 Event Loops: Understand event loops and their role in managing asynchronous workflows.
    • 6. Testing and Debugging
      • 6.1 Unit Testing: Use unittest or pytest to write test cases for your code.
      • 6.2 Test-Driven Development (TDD): Build reliable applications by writing tests before code implementation
      • 6.3 Debugging Tools: Master debugging using tools like pdb, ipdb, or IDE-integrated debuggers.
    • 7. Performance Optimization
      • 7.1 Profiling: Use profiling tools like cProfile to identify bottlenecks in code.
      • 7.2 Memory Management: Optimize memory usage with efficient data structures and gc module.
      • 7.3 Code Optimization: Apply techniques such as caching, lazy evaluation, and using libraries like NumPy for performance boosts.
    • 8. Advanced Libraries and Frameworks
      • 8.1 Scientific Computing: Explore advanced libraries like NumPy, pandas, and SciPy for data manipulation and analysis.
      • 8.2 Web Development: Build web applications with Flask or Django.
      • 8.3 Machine Learning: Integrate Python with ML frameworks like TensorFlow, PyTorch, or Scikit-learn for AI applications.
    • Module 1: Understand infrastructure as code (IaC) concepts
      • Explain what IaC is.
      • Describe advantages of IaC patterns
    • Module 2: Understand the purpose of Terraform (vs other IaC)
      • Explain multi-cloud and provider-agnostic benefits.
      • Explain the benefits of state
    • Module 3: Understand Terraform basics
      • Install and version Terraform providers.
      • Describe plugin-based architecture
      • Write Terraform configuration using multiple providers.
      • Describe how Terraform finds and fetches providers
    • Module 4: Use Terraform outside of core workflow
      • Describe when to use terraform import to import existing infrastructure into your Terraform state.
      • Use terraform state to view Terraform state
      • Describe when to enable verbose logging and what the outcome/value is
    • Module 5: Interact with Terraform modules
      • Contrast and use different module source options including the public Terraform Module Registry.
      • Interact with module inputs and outputs
      • Describe variable scope within modules/child modules.
      • Set module version
    • Module 6: Use the core Terraform workflow
      • Describe Terraform workflow ( Write -> Plan -> Create ).
      • Initialize a Terraform working directory (terraform init)
      • Validate a Terraform configuration (terraform validate).
      • Generate and review an execution plan for Terraform (terraform plan)
      • Execute changes to infrastructure with Terraform (terraform apply).
      • Destroy Terraform managed infrastructure (terraform destroy)
      • Apply formatting and style adjustments to a configuration (terraform fmt)
    • Module 7: Implement and maintain state
      • Describe default local backend.
      • Describe state locking
      • Handle backend and cloud integration authentication methods.
      • Differentiate remote state backend options
      • Manage resource drift and Terraform state.
      • Describe backend block and cloud integration in configuration
      • Understand secret management in state files
    • Module 8: Read, generate, and modify configuration
      • Demonstrate use of variables and outputs.
      • Describe secure secret injection best practice
      • Understand the use of collection and structural types.
      • Create and differentiate resource and data configuration
      • Use resource addressing and resource parameters to connect resources together.
      • Use HCL and Terraform functions to write configuration
      • Describe built-in dependency management (order of execution based)
    • Module 9: Understand Terraform Cloud capabilities
      • Explain how Terraform Cloud helps to manage infrastructure.
      • Describe how Terraform Cloud enables collaboration and governance
    • Module 1: Storage
      • Understand storage classes, persistent volumes.
      • Understand volume mode, access modes and reclaim policies for volumes
      • Understand persistent volume claims primitive.
      • Know how to configure applications with persistent storage
    • Module 2: Troubleshooting
      • Evaluate cluster and node logging.
      • Understand how to monitor applications
      • Manage container stdout & stderr logs.
      • Troubleshoot application failure
      • Troubleshoot cluster component failure.
      • Troubleshoot networking
    • Module 3: Workloads & Scheduling
      • Understand deployments and how to perform rolling update and rollbacks.
      • Use ConfigMaps and Secrets to configure applications
      • Know how to scale applications.
      • Understand the primitives used to create robust, self-healing, application deployments
      • Understand how resource limits can affect Pod scheduling.
      • Awareness of manifest management and common templating tools
    • Module 4: Cluster Architecture, Installation & Configuration
      • Manage role based access control (RBAC).
      • Use Kubeadm to install a basic cluster
      • Manage a highly-available Kubernetes cluster.
      • Provision underlying infrastructure to deploy a Kubernetes cluster
      • Perform a version upgrade on a Kubernetes cluster using Kubeadm.
      • Implement etcd backup and restore
    • Module 5: Services & Networking
      • Understand host networking configuration on the cluster nodes.
      • Understand connectivity between Pods
      • Understand ClusterIP, NodePort, LoadBalancer service types and endpoints.
      • Know how to use Ingress controllers and Ingress resources
      • Know how to configure and use CoreDNS.
      • Choose an appropriate container network interface plugin
    • Module 1: Introduction to Amazon Web Services
      • Summarize the benefits of AWS
      • Describe differences between on-demand delivery and cloud deployments
      • Summarize the pay-as-you-go pricing model
    • Module 2: Compute in the Cloud
      • Describe the benefits of Amazon Elastic Compute Cloud (Amazon EC2) at a basic level
      • Identify the different Amazon EC2 instance types
      • Differentiate between the various billing options for Amazon EC2
      • Describe the benefits of Amazon EC2 Auto Scaling
      • Summarize the benefits of Elastic Load Balancing
      • Give an example of the uses for Elastic Load Balancing
      • Summarize the differences between Amazon Simple Notification Service (Amazon SNS) and Amazon Simple Queue Services (Amazon SQS)
      • Summarize additional AWS compute options
    • Module 3: Global Infrastructure and Reliability
      • Summarize the benefits of the AWS Global Infrastructure
      • Describe the basic concept of Availability Zones
      • Describe the benefits of Amazon CloudFront and Edge locations
      • Compare different methods for provisioning AWS services
    • Module 4: Networking
      • Describe the basic concepts of networking
      • Describe the difference between public and private networking resources
      • Explain a virtual private gateway using a real life scenario
      • Explain a virtual private network (VPN) using a real life scenario
      • Describe the benefit of AWS Direct Connect
      • Describe the benefit of hybrid deployments
      • Describe the layers of security used in an IT strategy
      • Describe which services are used to interact with the AWS global network
    • Module 5: Storage and Databases
      • Summarize the basic concept of storage and databases.
      • Describe benefits of Amazon Elastic Block Store (Amazon EBS)
      • Describe benefits of Amazon Simple Storage Service (Amazon S3).
      • Describe the benefits of Amazon Elastic File System (Amazon EFS)
      • Summarize various storage solutions.
      • Describe the benefits of Amazon Relational Database Service (Amazon RDS)
      • Describe the benefits of Amazon DynamoDB.
      • Summarize various database services
    • Module 6: Security
      • Explain the benefits of the shared responsibility model.
      • Describe multi-factor authentication (MFA)
      • Differentiate between the AWS Identity and Access Management (IAM) security levels.
      • Describe security policies at a basic level
      • Explain the benefits of AWS Organizations.
      • Summarize the benefits of compliance with AWS
      • Explain primary AWS security services at a basic level
    • Module 7: Monitoring and Analytics
      • Summarize approaches to monitoring your AWS environment.
      • Describe the benefits of Amazon CloudWatch
      • Describe the benefits of AWS CloudTrail.
      • Describe the benefits of AWS Trusted Advisor
    • Module 8: Pricing and Support
      • Understand AWS pricing and support models.
      • Describe the AWS Free Tier
      • Describe key benefits of AWS Organizations and consolidated billing.
      • Explain the benefits of AWS Budgets
      • Explain the benefits of AWS Cost Explorer.
      • Explain the primary benefits of the AWS Pricing Calculator
      • Distinguish between the various AWS Support Plans.
      • Describe the benefits of AWS Marketplace
      • Describe the benefits of AWS Marketplace
    • Module 9: Migration and Innovation
      • Understand migration and innovation in the AWS Cloud.
      • Summarize the AWS Cloud Adoption Framework (AWS CAF)
      • Summarize six key factors of a cloud migration strategy.
      • Describe the benefits of various AWS data migration solutions, such as AWS Snowcone, AWS Snowball, and AWS Snowmobile
      • Summarize the broad scope of innovative solutions that AWS offers
    • Module 10: The Cloud Journey
      • Summarize the six pillars of the AWS Well-Architected Framework.
      • Explain the six benefits of cloud computing
    • Module 11: AWS Certified Cloud Practitioner Basics
      • Determine resources for preparing for the AWS Certified Cloud Practitioner examination.
      • Describe benefits of becoming AWS Certified
    • Course Final Assessment
      • Solve questions similar to those found within the AWS Cloud Practitioner Certification examination