Additional Labs of Artificial Intelligence Operations (AIOps)

Prepare to emerge as a highly skilled professional, equipped with the knowledge and practical experience to lead and innovate in the dynamic fields of Artificial Intelligence Operations. Join us in this journey to redefine the boundaries of technology and secure your place at the forefront of the IT revolution.

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4.7(73 Reviews)

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Duration : 25 hours
Languages : Urdu, English, Chinese, Spanish, Arabic, Malay, Indonesian, Hindi, Bangla, Portuguese, Swahili, Russian, Japanese, Persian, Filipino, Turkish, Marathi, Javanese, German, Vietnamese
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Our Instructors : Zarmeena Anwer
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About This Course

Dive into an unparalleled learning experience with our hands on labs that masterfully blend Generative AI, cutting-edge AWS Cloud technologies, and open-source methodologies. This program is meticulously designed to take you through a comprehensive exploration of AI, DevOps, SysOps, Cyber Security, and more, providing an all-encompassing journey through modern technology landscapes.

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What You Will Learn
  • Delve into the intertwined worlds of DevOps, SysOps, and AI, with a special emphasis on cloud computing. Master vital technologies like Machine Learning, Deep Learning, Computer Vision, Docker, Python Flask, Bash script, Vagrant, Ansible, and Kubernetes. This comprehensive curriculum ensures proficiency in automation and streamlined process execution.
  • Immerse yourself in active learning with Al Nafi Cloud's container labs, offering a perfect sandbox environment. Translate theoretical insights into practical solutions, confronting and conquering real-world challenges to enhance your skills.
  • As the digital landscape evolves, so do vulnerabilities. Our program integrates comprehensive modules on cloud security, empowering scholars to conceptualise, realise, and assess robust security blueprints for resilient cloud infrastructures.
  • These labs prepare learners for diverse roles, including DevOps Engineer, SysOps Engineer, Cloud Engineer, Site Reliability Engineer (SRE), Infrastructure Engineer, Automation Engineer, and Quality Assurance Engineer. Envision your future as a technical maestro and pioneering leader in the dynamic landscapes of AI, DevOps, and SysOps.

Our students are working in Fortune 500 companies around the globe. You can join them too.

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Why should you study this course?
  • Cutting-Edge Curriculum: Stay ahead with the most advanced global course integrating open-source methodologies with AWS Cloud-native technologies.
  • Industry-Relevant Skills: Acquire skills in Docker, Python, Bash script, Vagrant, Ansible, Kubernetes, and more, tailored for real-world applications in DevOps,SysOps and AI.
  • Security Focus: Address the evolving security challenges of digital transformation, ensuring you can architect and implement robust security strategies.
Skills you'll gain
  • Kubernetes
  • AWS
  • Computer Vision
  • Machine learning
  • Artificial Intelligence
  • Python
  • Bash
  • Ansible
  • Deployment
  • Docker
  • Vagrant
  • Selenium
  • Security
  • Assurance
  • Flask
  • DevOps
  • SysOps
  • Monitoring
  • Scripting
  • Testing
  • Cloud Virtualization
  • Management
  • Integration
  • Configuration
  • Scalability

Additional Labs of Artificial Intelligence Operations (AIOps)

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Career Opportunities for this Track

Career Opportunities for this Certificate:

These labs pave the way to a variety of sought-after career opportunities. Positions such as DevOps Engineers, AI Solutions Architects, and Cloud Security Engineers are within reach, boasting competitive salary ranges as reported by Glassdoor, Payscale, and Indeed. By aligning your expertise with the latest industry requirements, you're set up for a prosperous journey in the technology field.

DevOps Engineer

$90,000 - $120,000 per year

Average Salary

AI Solutions Architect

$120,000 - $160,000 per year

Average Salary

Cloud Security Engineer

$100,000 - $130,000 per year

Average Salary

Source: Glassdoor, Indeed, and

Hear from our learners

The DevSysOps Engineering Labs Course was a remarkable experience. The hands-on approach with technologies like Docker and Kubernetes was exactly what I needed.
I gained invaluable insights from the cybersecurity lab sessions. This course has definitely enhanced my skill set in cloud security.
The course provided a great blend of DevOps and SysOps concepts with practical labs. It was challenging but extremely rewarding.
As a future Cloud Engineer, I found the course to be comprehensive, especially the modules on AWS and automation tools. Highly recommended for anyone looking to upskill.

Frequently asked questions

Is it possible for learners studying EduQual Level 4 to transfer to Level 6 directly?

Learners are required to acquire separate hands-on lab modules for DevSysOps and Artificial Intelligence Operations (AIOps) to progress from EduQual Level 4 to Level 6. Furthermore, holding a Diploma in Artificial Intelligence (EduQual Level 4) is a mandatory prerequisite for the diploma/certificate transition.

Can a learner previously enrolled in the combined DevOps,SysOps and AI Advancement Track transfer to Level 6?
What is the access duration for this hands-on lab module?