Professional Level DevOps: Mastering Advanced Practices
Achieve professional mastery in DevOps by exploring advanced CI/CD management, multi-cloud deployments, and sophisticated infrastructure as code techniques. Gain expertise in comprehensive monitoring, logging, and AI-powered process automation. This course equips you to lead complex projects with confidence and efficiency.
- Master advanced CI/CD configurations and DevSecOps practices.
- Build multi-cloud solutions and integrate AI/ML into DevOps processes.
- Develop solutions for large-scale enterprise systems through hands-on projects.
- Attain certification of completion.
- Course Duration: 5 Days
Professional Level DevOps Engineer Courses
Professional Level DevOps Course Overview
- Comprehensive Curriculum – Covers advanced DevOps concepts, including CI/CD optimization, Infrastructure as Code (IaC), cloud platforms, monitoring, and AI integration.
- Advanced CI/CD & DevSecOps – Master complex pipeline configurations, security best practices, and automated deployment strategies for large-scale applications.
- Multi-Cloud Infrastructure Management – Deep dive into AWS, Azure, and GCP, leveraging Terraform, CloudFormation, and ARM for efficient multi-cloud deployments.
- Monitoring & Performance Optimization – Implement robust logging and monitoring with Prometheus, Grafana, ELK, and CloudWatch to track performance and security.
- AI & ML in DevOps – Utilize AI-driven automation, predictive analytics, and anomaly detection to enhance system reliability and optimize CI/CD workflows.
Professional Level DevOps Course Outline
Module 1: Advanced CI/CD and Pipeline Management
- Master complex CI/CD configurations and optimization.
- Learn DevSecOps and advanced deployment strategies.
- Project: Optimize a CI/CD pipeline for a large-scale application.
Module 2: Infrastructure as Code (IaC) and Terraform
- Dive deep into Terraform, AWS CloudFormation, and Azure Resource Manager.
- Implement multi-cloud IaC practices.
- Project: Deploy a multi-cloud infrastructure using Terraform.
Module 3: Cloud Platforms Deep Dive
- Explore AWS, Azure, and GCP in detail.
- Learn cloud cost optimization and service integration.
- Project: Deploy and manage a microservices application across major cloud platforms.
Module 4: Monitoring and Logging
- Implement robust solutions with Prometheus, Grafana, AWS CloudWatch, and ELK.
- Gain insights into log analysis and performance metrics.
- Project: Set up end-to-end monitoring and logging for a microservices application.
Module 5: Advanced AI and ML in DevOps
- Leverage AI/ML for predictive analytics and anomaly detection.
- Automate performance optimization with AI integration.
- Project: Build an AI/ML model for system health monitoring or CI/CD optimization.
- Classroom Location – Leeds, UK
- Duration – 5 Days
- Timing – 9:00 to 17:00
- Price – POA
What’s Included in the Professional Level DevOps Course:
- Flexible Learning / Flexible Delivery
- Access self-paced modules, live instructor-led sessions, and hands-on labs.
- Learn through real-world case studies and interactive exercises.
- Exam Preparation
- Receive expert guidance, practice tests, and exam-focused resources.
- Get hands-on experience with real-world DevOps scenarios to reinforce learning.
- Certification
- Earn the Professional Level DevOps Engineer Certification, validating advanced DevOps expertise.
- Gain industry recognition with a globally respected credential.
Prerequisites for Professional 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 and Intermediate 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)