DevOps Mastery Specialization Course

Completed DevOps Mastery Specialization covering DevOps basics, Git, Jenkins, Docker, Kubernetes, Ansible, Terraform, and Python. Gained hands-on experience in automation and infrastructure management, preparing for DevOps and SRE roles.

Preparing for Google Cloud Certification: Cloud DevOps Engineer

Completed a five-course specialization focused on Google Cloud DevOps Engineer skills, including monitoring, troubleshooting, and performance optimization using Site Reliability Engineering principles. Gained hands-on experience to prepare for the Google Cloud Professional DevOps Engineer certification.

Fundamentals of Red Hat Enterprise Linux

Completed the Fundamentals of Red Hat Enterprise Linux course, gaining hands-on experience with Linux command line essentials, process and system management, user and identity administration, networking and firewall configuration, and core system administration tasks. This certification validates my ability to manage and troubleshoot Red Hat Enterprise Linux environments.

Bash Scripting

I completed the Bash Scripting course, where I learned how to automate tasks and manage system operations using Bash scripts. The course covered essential scripting concepts, including variables, control structures, and functions. Through hands-on projects, I gained practical experience in writing and debugging Bash scripts, enhancing my ability to work efficiently in a Linux environment.

Fundamentals of Ansible

Completed the Ansible Administration course, gaining hands-on experience with playbooks, roles, inventory management, variables, loops, and conditionals. Learned to use RHEL System Roles, Ansible Galaxy collections, and apply security best practices for automation and system configuration.

Terraform Fundamentals

I completed the Terraform Fundamentals course, where I learned about infrastructure as code, Terraform configuration files, and state management. The course taught me how to provision and manage cloud resources using Terraform. Through hands-on labs, I gained practical experience in building and deploying infrastructure on Google Cloud Platform. Completing this course strengthened my skills in cloud engineering and prepared me for roles in DevOps and infrastructure management.

Monitoring and Observability for Development and DevOps

I completed the Monitoring and Observability for Development and DevOps course, where I learned about key concepts and practices for monitoring cloud-native applications. The course taught me how to implement observability using tools like Prometheus and Grafana. Through hands-on labs, I gained practical experience in setting up monitoring solutions and analyzing metrics. Completing this course strengthened my skills in DevOps and prepared me for roles in site reliability engineering.

Generative AI for Everyone

I completed the Generative AI for Everyone course, where I learned about the fundamentals of generative AI, including key concepts and applications. The course taught me how to leverage AI tools for creative tasks and understand the ethical implications of AI-generated content. Through hands-on projects, I gained practical experience in using generative models and exploring their potential. Completing this course strengthened my skills in AI and prepared me for roles in AI development and research.

Python Data Structures

I completed the Python Data Structures course, where I learned about lists, dictionaries, tuples, and strings. The course taught me how to store, organize, and manipulate data efficiently. Through hands-on coding exercises, I built practical programming skills for data handling and application development. Completing this course strengthened my Python foundation and prepared me for programming and software development roles.