Expert Level DevOps: Architecting Advanced Solutions
Elevate your DevOps expertise to the highest level with advanced cloud architecture design, custom monitoring solutions, and AI-powered automation. This course focuses on mastering complex workflows, optimizing infrastructure, and preparing for top-tier certifications, empowering you to tackle real-world challenges with innovative solutions.
- Design complex cloud architectures with a focus on scalability and resilience.
- Implement advanced monitoring and automation solutions for dynamic environments.
- Gain deep hands-on experience through challenging real-world scenarios.
- Attain certification of completion.
- Course Duration: 5 Days
Expert Level DevOps Engineer Courses
Expert Level DevOps Course Overview
- Cloud Architecture Mastery – Design and deploy scalable solutions using advanced AWS, Azure, and GCP services.
- Intelligent Monitoring & Logging – Implement custom metrics, logging pipelines, and real-time dashboards for proactive system management.
- AI-Powered DevOps – Leverage AI-driven automation for resource optimization and process efficiency.
- Advanced Scripting & Automation – Develop reusable scripts in PowerShell, Bash, and Python to streamline DevOps workflows.
- Certification Readiness – Gain hands-on experience with practice exams and labs for Azure, AWS, and GCP certifications.
Expert Level DevOps Course Outline
Module 1: Advanced Cloud Services and Solutions
- Master complex AWS, Azure, and GCP services.
- Design and deploy scalable, resilient cloud architectures.
- Project: Deploy a complex cloud architecture solution on a cloud platform of your choice.
Module 2: Advanced Monitoring and Logging
- Implement advanced monitoring with custom metrics.
- Build sophisticated logging pipelines and analyze logs.
- Project: Create an advanced monitoring solution with custom dashboards and alerts.
Module 3: AI-Powered Automation and Optimization
- Leverage AI for automating and optimizing DevOps tasks.
- Explore AI tools for dynamic resource management and process improvements.
- Project: Develop an AI-powered chatbot or resource optimization model.
Module 4: DevOps Automation and Scripting
- Master advanced scripting with PowerShell, Bash, and Python.
- Automate workflows and develop reusable scripts.
- Project: Automate key DevOps tasks with modular scripts.
Module 5: Certification Preparation and Practice
- Comprehensive review for Azure, AWS, and GCP certifications.
- Hands-on practice exams and real-world scenarios.
- Project: Complete practice labs to solidify your certification readiness.
- Classroom Location – Leeds, UK
- Duration – 5 Days
- Timing – 9:00 to 17:00
- Price – POA
What’s Included in the Expert Level DevOps Course:
- Flexible Learning / Flexible Delivery
- Access self-paced online modules, live instructor-led sessions, and hands-on labs.
- Learn at your own pace with recorded lectures, interactive exercises, and real-world projects.
- Exam Preparation
- Comprehensive study materials, practice tests, and real-world case studies.
- Mock exams and expert guidance to enhance exam readiness.
- Certification
- Support for top DevOps certifications, including AWS, Azure, GCP, Kubernetes, and DevOps Institute.
- Hands-on labs and scenario-based assessments to validate expertise.
Prerequisites for Expert Level DevOps Course
This course is designed for beginners, intermediate learners, and professionals seeking expertise in DevOps. If you would like to pursue a career in DevOps or upskill yourself in the field, this course is for you!
- Basic Computer Science Knowledge: Familiarity with Cloud Computing and basic understanding of IT services.
- Language: English at a practical level of proficiency.
- Bridge Course: Completion of the Beginner Level DevOps Engineer, Foundation Level DevOps Engineer, Intermediate Level DevOps Engineer and Professional Level DevOps Engineer Courses.
Each participant of this course will have to attend and pass one project and one exam to complete the module and attain the certification.
Module Project (50%)
- Duration: Throughout the course
- Type: Practical projects based on the contents of the module
- Pass mark: 65%
Certification Exam (50%)
- Duration: 60 minutes
- Type: 40 multiple choice questions
- Pass mark: 65% (26/40)