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Cloud Computing and DevOps Course with AI/ML

The Cloud Computing and DevOps Course with AI/ML by Regenesys equips you to design, manage, and scale cloud infrastructures using AWS and Azure. Covering AIOps, AI-driven DevOps pipelines, and real-world workflows, the course includes expert-led sessions and a Capstone Project. It prepares you for roles like DevOps Engineer or Azure Cloud Administrator, with practical expertise in AI and cloud computing.

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South Africa, Nigeria, Kenya

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Cloud Computing and DevOps Course with AI/ML
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Cloud Computing and DevOps Course with AI/ML Outcomes

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9 Globally Recognised Certificates

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Gen AI Infused Programme

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Hands-on Labs Experience

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100K+ Jobs Worldwide

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One of the Most High-paying Skills

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Cloud Market:$680B to $1.44T by 2029

Explore the World of Cloud Computing and DevOps Course with AI/ML With Us

Course Overview

Course Curriculum

Tools Covered In This Course

Pricing Across The Countries

Course Overview

Cloud Computing And Devops Course

Advance your career with our 9-month Cloud Computing and DevOps course with AI/ML, designed to equip you with an in-depth skill set in cloud infrastructure, DevOps practices, and AI/ML integration. You’ll cover the fundamentals of cloud computing and DevOps while mastering advanced AI/ML strategies to build scalable, secure systems with intelligent automation. With expert-led training, hands-on projects, and real-world applications using tools like AWS and Azure, this course ensures you gain the technical expertise to excel in Cloud Computing, DevOps, and AI/ML, standing out in today’s competitive tech landscape.

  • Live Classes

    Live Classes

  • Global Certificate

    Global Certificate

  • Industry Expert Faculty

    Industry Expert Faculty

  • Career Counselling

    Career Counselling

Cloud Computing and DevOps Course with AI/ML Curriculum

Duration IconCloud Foundations and Essentials
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  • Tick IconIntroduction to Cloud Computing
  • Tick IconCloud Service Models & AI in Cloud
  • Tick IconCloud Economics and Billing
  • Tick IconExpert Session
  • Tick IconFundamentals of AWS
  • Tick IconHands-On Lab: AWS
  • Tick IconFundamentals of Azure
  • Tick IconHands-On Lab: Azure
  • Tick IconFundamentals of GCP
  • Tick IconHands-On Lab: GCP
  • Tick IconIntroduction to Networking in the Cloud
  • Tick IconHands-On Lab: Networking in Cloud
  • Tick IconSecurity Fundamentals in Cloud Computing
  • Tick IconHands-On Lab: IAM on AWS
  • Tick IconCloud Storage Solutions
  • Tick IconHands-On Lab: Storage on AWS
  • Tick IconHands-On Lab: Storage on Azure
  • Tick IconIndustry Expert Session
Duration IconAdvanced Cloud Engineering & DevOps
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Duration IconAI & Machine Learning for Cloud Professionals
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Cloud Fundamentals and Essentials

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  • Amazon IAM.png
  • Amazon Aws EC2.png
  • Cloud SQL.png
  • Azure VNet.png
  • Cloud DNS.png
  • Cloud Storage.png
  • Compute Engine.png
  • AWS codePipeline svg .png
  • docker.png
  • Ansible.png
  • AWS CloudWatch.png
  • AWS CodeWhisperer.png
  • AWS Comprehend.png
  • AWS Lambda.png
  • AWS CodePipeline.png
  • AWS Glue.png
  • AWS Data Pipeline.png
  • AWS S3.png
  • AWS Rekognition.png
  • Azure Managed Disks.png
  • Azure IAM.png
  • Jenkins.png
  • AWS pricing cal.png
  • Terraform.png
  • python.png
  • Kubernetes.png
  • Amazon Load Balancers.png
  • linux.png
  • Virtual Private.png
  • Amazon S3.png
  • Amazon Route53.png
  • Git.png
  • Amazon SageMaker.png
  • Amazon VPC.png
  • Azure Storage - Blob.png
  • Azure Virtual Machine.png

Pricing Across The Countries

South Africa

Pricing
R41,999
Duration
36 Weeks
Enrollment Icon
Online Mode

Nigeria

Pricing
₦ 2,408,899
Duration
36 Weeks
Enrollment Icon
Online Mode

Kenya

Pricing
Ksh 226,899
Duration
36 Weeks
Enrollment Icon
Online Mode

Uganda

Pricing
UGX 5,455,899
Duration
36 Weeks
Enrollment Icon
Online Mode

Tanzania

Pricing
TZS 3,709,899
Duration
36 Weeks
Enrollment Icon
Online Mode
Career

Student Reviews
Over 10,000+ Learners

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Henry Maro Machoke

Data Science

Digital Regenesys offers an inclusive, non-discriminatory learning environment with excellent facilitators. The course starts with the basics, making it ideal for beginners in Python, data science, and programming. The capstone project is comprehensive, and the program is highly affordable compared to others. I highly recommend it for anyone looking to advance their skills

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Hilolimus Kimweri

Data Science

With a background in Economics and Finance, I joined Digital Regenesys to enhance my data analysis skills, crucial for fraud detection and operational decision-making. The Data Science course provided me with valuable tools like Power BI and Python, significantly improving my ability to analyze and visualize data. This knowledge not only facilitated my recent promotion but also streamlined my work across 58 branches. I highly recommend Digital Regenesys for those seeking to advance their careers through data-driven insights.

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Japhet Kurgat

Cybersecurity

I completed a Cyber Security course at Digital Regenesys. The course was highly educational, with knowledgeable facilitators who explained everything in detail. Classes were recorded and uploaded to a well-organized student portal along with study materials. After passing the exams, I received a certification that has enhanced my professional profile. I highly recommend Digital Regenesys for their excellent resources, responsive facilitators, and comprehensive learning experience.

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Didacus Masanja Gilya

Cybersecurity

I joined Digital Regenesys to study Cyber Security Fundamentals and the experience was overwhelming. The facilitators, especially Mr. Rakesh, were kind, and patient, and made weekly follow-ups to address any concerns. The skills I gained have significantly boosted my career and motivated me to pursue a future as a Cyber Security Analyst. I highly recommend this course to anyone interested in digital security, even beginners without an ICT background.

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Effiong Udo Inyang

Data science

The Data science course taught by Dr. Laika at Digital Regenesys was truly eye-opening for me. I had no idea how important Data science has become to level up professionally. I am also planning to enrol for some other upskilling course by Digital Regenesys and would recommend this platform to almost every friend of mine.

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Thibedi Grandy Mmatli

Cybersecurity

The best part about the Cybersecurity course that I took at Digital Regenesys is that my lecturer helped me greatly by solving my doubts during and outside the class as well. Vijal Mam was very helpful and she made sure that each and every student in the class understood the course properly.

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Akshay Patil

Machine Learning

After completing my course in Machine Learning, I registered myself for Data Science that was taught by Dr. Laika and I have to say both my instructors were very helpful and went beyond their ways to teach me. They also helped me create a professional LinkedIn profile. I am glad that I chose Digital Regenesys for my learning courses.

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Dhiraj Gaikwad

Artificial Intelligence

I heard about the Artificial Intelligence course from Digital Regenesys, as a colleague of mine did it from there. I took the admission and I must say that I got my promotion because of Digital Regenesys. The overall procedure from talking to the counselors to ending the course, it helped me learn a lot and upskill myself the way I wanted.

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Mercy Monnie

Digital Marketing

Digital Regenesys gave my career a significant boost as a Stock Broker and Marketer. My venture into other businesses led me to enroll, and I'm glad I did.

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Chidi Igweomoke

Cyber Security

The Cybersecurity program was truly awesome. Despite having prior experience, I learned a lot from the instructor, who took the time to practicalize concepts I found confusing. I've since taken my CEHv11 exam to further build on my skills. I highly recommend this course to anyone looking to kickstart or boost their career in cybersecurity.

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Olawale Gabriel Ayorinde

Cyber Security

Your approach to explaining the complexities of cybersecurity was both insightful and informative, making it easier for me to grasp the fundamentals of this critical field.

Career

Get Certified With UsCloud Computing and DevOps Course with AI/ML Certificate

Digital Regenesys’s Cloud Computing and DevOps Course with AI/ML equips professionals with essential skills to excel in Cloud and DevOps engineering. This certificate validates proficiency and expertise. Learners can use it to demonstrate that they have completed the training and acquired the necessary skills and knowledge to excel.

Key Takeaways

Check ImageUnderstand cloud fundamentals and master AWS, Azure, and GCP platforms.
Check ImageLearn cloud economics, cost optimisation, and billing strategies.
Check ImageGain hands-on experience in cloud networking, security, and IAM management.
Check ImageMaster DevOps tools like Jenkins, Docker, Kubernetes, Terraform, and Ansible.
Cloud Computing And Devops Course

Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of Digital Regenesys.

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Frequently Asked Questions

  • Cloud Computing and DevOps course with AI/ML Certification Course
  • Eligibility and Enrolment
  • Tools Covered
  • Duration and Accessibility
  • Cloud Computing and DevOps course with AI/ML Certification Courses

Cloud Computing and DevOps course with AI/ML Certification Course

  • What is Cloud Computing and DevOps Course with AI/ML?

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    The Cloud Computing and DevOps Course with AI/ML by Regenesys equips you to design and scale cloud infrastructures while integrating AI in DevOps. You’ll develop a DevOps pipeline and learn AI-powered monitoring through hands-on projects with insights from industry experts.

  • What can I expect to learn from a cloud computing course?

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    A cloud computing course provides in-depth training in cloud infrastructure, services, and platforms like AWS, Azure, and GCP. You’ll learn key concepts such as cloud architecture, networking, security, and storage, as well as practical skills in deploying, managing, and scaling cloud solutions. The course also covers cost optimization, automation, and hands-on labs to give you real-world experience.

  • What is the value of a cloud computing certificate?

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    A cloud computing certificate validates your expertise in designing, implementing, and managing cloud solutions. It demonstrates your proficiency in cloud platforms like AWS or Azure and makes you more competitive in the job market. A recognised certificate can open doors to roles such as cloud architect, cloud engineer, or DevOps specialist.

  • How is the course structured?

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    The course is divided into modules focusing on an overview of in-depth cloud computing, advanced cloud concepts, and AI/ML concepts for cloud professionals. It includes lectures, hands-on exercises, coding assignments, and projects to reinforce learning and practical application of concepts.

Eligibility and Enrolment

  • Who can enrol in the Cloud Computing and DevOps Course with AI/ML?

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    This course is ideal for anyone, whether you're new to programming or have experience and are eager to expand your knowledge in cloud computing & DevOps & AI/ML.

  • Is any prior experience needed for this course?

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    No prior experience is needed—this is a zero-to-hero course designed to take you from beginner to expert in cloud computing.

  • How can I enrol in the Cloud Computing and DevOps Course with AI/ML at Digital Regenesys?

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    You can enrol by visiting the Digital Regenesys website and navigating the course page. Then, follow the registration and payment instructions to complete the enrolment process.

  • Are there any laptop requirements for this course?

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    Laptop Requirements: Processor: Intel Core i5 (10th gen or newer) or AMD Ryzen 5, RAM: 8 GB, Storage: 256 GB SSD, Operating System: Windows 10/11 or macOS Catalina or newer

Tools Covered

  • What tools will be covered in the Cloud Computing and DevOps Course with AI/ML?

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    The Cloud Computing and DevOps Course with AI/ML covers tools like AWS, Azure, GCP, EC2, S3, RDS, and many more.

  • How will the Cloud Computing and DevOps Course with AI/ML help me master these tools?

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    The Cloud Computing and DevOps Course with AI/ML will help you master these tools by providing practical training in cloud platforms, DevOps methodologies, and AI/ML frameworks. It will ensure you can effectively deploy and manage advanced technologies in real-world environments.

  • Are all tools covered in this course according to industry standards?

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    Yes, the course covers tools that align with industry standards, ensuring you gain relevant skills and knowledge that meet current market demands in Cloud, DevOps, and AI/ML.

Duration and Accessibility

  • What is the duration of the Cloud Computing and DevOps Course with AI/ML at Digital Regenesys?

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    The duration of the Cloud Computing and DevOps Course with AI/ML is 9 months.

  • Can I access course materials and lectures online?

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    Yes, our course is entirely online, and materials and lectures are also easily accessible online through our learning management system (LMS). This allows you to study at your own pace and convenience from anywhere with an internet connection.

  • How long do I have access to the course materials after completing the course?

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    You will have access to the course materials for 1 year after completing the course, allowing you to review and revisit concepts as needed to reinforce your learning.

Cloud Computing and DevOps course with AI/ML Certification Courses

  • What is the benefit of enroling in an online Cloud Computing and DevOps Course with AI/ML?

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    Cloud Computing and DevOps Course with AI/ML online offer a convenient and flexible way to enhance your knowledge or learn new skills.

  • Are there practical applications and projects in online Cloud Computing and DevOps Course with AI/ML?

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    Digital Regenesys’s Online Cloud Computing and DevOps Course with AI/ML includes expert sessions, capstone projects, and real-world applications. These practical components allow learners to apply their knowledge to solve actual problems, enhancing their practical skills.

  • Are there expert sessions included in online Cloud Computing and DevOps Course with AI/ML?

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    Yes, our online Cloud Computing and DevOps Course with AI/ML includes three expert-led sessions designed to provide invaluable insights. These sessions feature industry leaders who will share their expertise on the latest trends, best practices, and real-world applications in cloud computing and DevOps. This interactive format enriches your learning experience and allows you to engage with professionals shaping the future of technology.

FAQ

  • Cloud Computing and DevOps course with AI/ML Certification Course
    icon Faq
  • Eligibility and Enrolment
    icon Faq
  • Tools Covered
    icon Faq
  • Duration and Accessibility
    icon Faq
  • Cloud Computing and DevOps course with AI/ML Certification Courses
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Cloud Computing and DevOps Course

The demand for cloud computing and DevOps is rising due to businesses' shift to online operations. Many companies now use cloud services for greater flexibility, scalability, and cost savings. With more organisations moving their applications and data to the cloud, there is a growing need for professionals who understand how to manage these systems effectively.

Similarly, DevOps practices are gaining popularity because they promote collaboration between development and operations teams. This approach speeds up the software development process, enabling quicker delivery of products and updates. This demand leads to many job opportunities and encourages people to keep learning in the fast-changing technology market.

The best way to learn cloud computing is to enrol in a cloud computing course, which offers practical skills that prepare you for these in-demand roles. You'll learn how to work with cloud platforms and implement DevOps practices to improve project delivery. These courses provide valuable insights and hands-on experience to help you succeed in the tech industry.

About Cloud Computing and DevOps Course

The Digital Regenesys’ cloud computing and DevOps course is a 9-month course designed to equip learners with essential skills in cloud infrastructure and DevOps practices. This is one of the best cloud computing courses in the market, where students gain hands-on experience with leading platforms like AWS and Azure, learning to design and manage cloud solutions effectively. The curriculum covers essential topics, including cloud economics, security, and AI/ML integration. Participants also engage in expert-led sessions and a Capstone Project, preparing them for roles like DevOps Engineer or Azure Cloud Administrator. With practical expertise and globally recognised certificates, this course opens doors to numerous career opportunities in a growing field.

Cloud Computing and DevOps Course Curriculum

The cloud computing and DevOps course at Digital Regenesys is structured into three main sections. These three sections cover cloud foundations, advanced cloud engineering and DevOps, and AI & machine learning for cloud professionals. This syllabus provides a thorough understanding of cloud technologies and practices. Below is the cloud computing and DevOps course syllabus provided by Digital Regenesys:

TopicsCurriculum
Cloud Foundations and Essentials
  • Introduction to Cloud Computing
  • Cloud Service Models & AI in Cloud
  • Cloud Economics and Billing
  • Expert Session
  • Fundamentals of AWS
  • Hands-On Lab: AWS
  • Fundamentals of Azure
  • Hands-On Lab: Azure
  • Fundamentals of GCP
  • Hands-On Lab: GCP
  • Introduction to Networking in the Cloud
  • Hands-On Lab: Networking in the Cloud
  • Security Fundamentals in Cloud Computing
  • Hands-On Lab: IAM on AWS
  • Cloud Storage Solutions
  • Hands-On Lab: Storage on AWS
  • Hands-On Lab: Storage on Azure
  • Industry Expert Session
Advanced Cloud Engineering & DevOps
  • Introduction to DevOps
  • Introduction to Linux
  • Essential Linux Commands and Shell Scripting
  • Introduction to Programming
  • Introduction to Python & Setup
  • Basic Data Types & Variables
  • Control Structures: Conditionals
  • Loops in Python
  • Functions & Modules
  • Basic Data Structures: Lists, Tuples & Dictionaries
  • Introduction to Git and Version Control
  • Introduction to GitHub
  • Introduction to CI/CD with Jenkins and AWS CodePipeline
  • Hands-On Lab: CI/CD Pipeline with Jenkins & CodePipeline
  • Creation and managing containers using Docker
  • Scaling and managing applications using Kubernetes
  • Hands-On Lab: Containerization & Orchestration
  • Introduction to Terraform
  • Understanding Reusability, IaC, and Infrastructures using Terraform
  • Hands-On Lab: Infrastructure as Code with Terraform
  • Introduction to Ansible
  • Hands-On Lab: Configuration Management with Ansible
  • Introduction to AIOps and AI in DevOps
  • Hands-On Lab: Implementing AI in DevOps
  • Capstone Project: Full DevOps Pipeline with AI Integration
AI & Machine Learning for Cloud Professionals
  • Introduction to AI/ML
  • AI and ML with AWS
  • Data Preparation and Feature Engineering in AWS
  • Training AI Models on AWS - Hands-on
  • Deploying and Managing AI Models on AWS
  • Hands-On Lab: End-to-End AI Model Deployment on AWS ( Optional, depending on the lab expense )
  • Expert Session-1: Applications of AWS in AI/ML
  • Expert Session-2: How generative AI powers systems like ChatGPT using AWS
  • MLOps with AWS
  • Leveraging Generative AI to Become a 10x Cloud Engineer

Tools Covered Under Cloud Computing and DevOps Course

The Digital Regenesys’ Cloud Computing and DevOps Course covers a wide range of tools, giving you practical skills in cloud management and automation. Businesses use these tools to build and manage secure cloud environments. Learning these technologies will prepare you for a career in high-demand fields like DevOps engineering or cloud administration. Let us know about these tools below:

  • AWS CodePipeline - Automates the continuous integration and continuous delivery (CI/CD) process for reliable application updates.
  • AWS CloudWatch - Monitors and manages cloud resources and applications by tracking system performance.
  • Docker - Manages and deploys applications in containers, ensuring consistency across different computing environments.
  • Ansible - Automates IT tasks like configuration management, application deployment, and cloud provisioning.
  • Terraform - Allows infrastructure to be provisioned and managed as code using a declarative language.
  • Kubernetes - Orchestrates containerised applications for automating deployment, scaling, and managing workloads.
  • Jenkins - A popular tool for automating the build, testing, and deployment of software.
  • AWS CodeWhisperer - A machine learning-powered tool that helps developers write code faster by suggesting code completions.
  • AWS Comprehend - Extracts insights from unstructured text data using natural language processing (NLP).
  • AWS Lambda - Runs code in response to events without provisioning servers, which is ideal for serverless applications.
  • AWS Glue - A fully managed ETL (Extract, Transform, Load) service that prepares and loads data for analytics.
  • AWS Data Pipeline - Automates the movement and transformation of data between different AWS services.
  • AWS S3 (Simple Storage Service) - Provides scalable cloud storage for data and applications.
  • AWS Rekognition - Offers image and video analysis capabilities powered by machine learning.
  • Azure Managed Disks - Provides scalable and durable storage options for virtual machines.
  • Azure IAM (Identity and Access Management) - Manages user access and permissions to resources in Azure.
  • AWS Pricing Calculator - Estimates costs of AWS services based on specific usage patterns.
  • Amazon Elastic Block Store (EBS) - Provides persistent block storage for use with Amazon EC2 instances.
  • Amazon IAM (Identity and Access Management) - Controls access to AWS resources securely.
  • Amazon EC2 (Elastic Compute Cloud) - Offers resizable compute capacity in the cloud to run applications.
  • Google Cloud SQL - A fully managed database service for relational databases in Google Cloud.
  • Azure VNet (Virtual Network) - Enables secure communication between Azure resources, the internet, and on-premises networks.
  • Cloud DNS - A managed service that provides scalable, reliable, and secure domain name system (DNS) resolution for websites and applications.
  • Cloud Storage - Provides a highly scalable and durable storage solution for unstructured data.
  • Compute Engine - Google’s infrastructure-as-a-service (IaaS) offering to run virtual machines on Google Cloud.
  • Amazon Route 53 - A scalable DNS web service that routes end-user requests to internet applications by translating domain names into IP addresses.
  • Amazon SageMaker - Provides tools to build, train, and deploy machine learning models at scale.
  • Amazon VPC (Virtual Private Cloud) - Isolates network infrastructure in a logically defined space for enhanced security.
  • Azure Storage - Blob - Provides scalable object storage for unstructured data such as images, videos, and backups.
  • Azure Virtual Machine - Offers scalable computing resources with flexible configurations on Microsoft Azure.
  • Amazon Load Balancers - Distributes incoming application traffic across multiple targets like EC2 instances, ensuring fault tolerance.
  • Linux - An open-source operating system used to run and manage cloud servers.
  • Virtual Private Cloud (VPC) - Isolates cloud resources in a private network to ensure security and control.

Cloud Computing and DevOps Course Fee

The Digital Regenesys cloud computing and DevOps course is highly affordable. Its flexible pricing ensures that anyone interested in building a career in cloud technology can easily enrol in the course. This course is a great value for money, giving you access to top-level knowledge in the industry. You get quality education at an affordable cost.

The course is available online, so you can join from anywhere, making it convenient for busy professionals or students. It’s a smart investment in your future without stretching your budget.

Please contact our admissions team for more information on course fees and flexible payment plans.

Cloud Computing and DevOps Career Path & Salary Insights

You can find several career opportunities in cloud computing and DevOps. You could become a Cloud Engineer, responsible for building and maintaining cloud infrastructure, or a DevOps Engineer, ensuring smooth integration between development and operations teams. Other roles include Cloud Architect, where you design scalable cloud solutions, and Site Reliability Engineer (SRE), focusing on maintaining system reliability and performance.

For those interested in managing cloud platforms, roles like AWS or Azure Administrator offer the chance to work with leading cloud services. You can also explore Automation Engineer roles, focusing on automating processes to improve efficiency. With the rapid growth in cloud technology, these positions come with competitive salaries and a strong demand, making it a solid career choice for tech professionals looking to grow in the digital space.

Career Progression and Salary Growth in Cloud Computing and DevOps

In Cloud Computing and DevOps, professionals often start in entry-level roles and progress to higher positions as they gain more skills and experience. With time, many move into leadership roles where they manage large-scale projects or teams. Below is a table highlighting various roles in Cloud Computing and DevOps, along with their respective salaries based on data from October 2024.

Job RoleAverage SalaryCareer Progression
Cloud EngineerR 46,721Cloud Engineers can advance to roles like Cloud Architect, leading cloud infrastructure design.
DevOps EngineerR 317,087With few years of experience they can progresses to Senior DevOps Engineer or DevOps Manager, overseeing team operations.
Cloud ArchitectR 204,000They can progress to Chief Cloud Officer (CCO), where they lead the organisation's overall cloud strategy and innovation.
Cloud SpecialistR 1,200,000Cloud Specialist can move into roles like Cloud Solutions Director for overseeing the design and management of advanced cloud infrastructures.
Cloud consultantR 86,621Cloud Consultant can advance to Senior Cloud Consultant or Cloud Advisor, providing high-level guidance to multiple clients.

Cloud Computing and DevOps Course Across Africa

Across Africa, the cloud computing and DevOps courses equip students with in-demand skills in cloud technology and automation. As Africa undergoes digital change, this course leads to rewarding careers in technology, which helps both individuals and the economy thrive. It teaches learners how to manage cloud systems effectively while highlighting the need for teamwork between development and operations. By training a new wave of skilled professionals, Africa aims to become a strong competitor in the global tech scene, ready to face the challenges of the future.

Cloud Computing and DevOps Course in South Africa

The Cloud Computing course in South Africa focuses on practical skills using AWS and Azure. With industry expert-led sessions, learners gain hands-on experience, preparing them for in-demand roles in a growing tech landscape.

Cloud Computing and DevOps Course in Kenya

Kenya's Cloud Computing and DevOps course equips students with essential skills to manage cloud infrastructures. By integrating AI and machine learning, participants develop a competitive edge, preparing them for successful careers in the rapidly evolving tech industry.

Cloud Computing and DevOps Course in Tanzania

In Tanzania, the Cloud Computing and DevOps course offers a comprehensive curriculum that blends theoretical knowledge with practical applications. This course helps students develop the expertise needed to thrive in cloud management and DevOps roles within local and international markets.

Cloud Computing and DevOps Course in Nigeria

Nigeria's best cloud computing certification courses provide learners with a robust understanding of cloud technologies. With a focus on hands-on training, graduates are well-prepared to enter the job market, addressing the growing demand for cloud professionals in the region.

Why Choose Digital Regenesys' Cloud Computing and DevOps Course?

The Digital Regenesys' cloud computing and DevOps course is considered one of the best courses for cloud computing, which gives you valuable skills for this technology-focused job market. The flexible online format lets you learn at your own pace, making it easy to fit into your schedule. Let us know about Digital Regenesys' cloud computing course details below:

  • Gain practical skills in cloud management.
  • Learn to use AWS and Azure platforms.
  • Understand DevOps principles and practices.
  • Work on real-world projects.
  • Enhance your problem-solving abilities.
  • Collaborate with industry experts.
  • Develop expertise in AI/ML.
  • Improve your technical knowledge.
  • Live cloud computing classes from experts.
  • Access to globally recognised certificates.
  • Benefit from hands-on labs.

Advantages of Digital Regenesys' Cloud Computing and DevOps Course

Below are some of the advantages of our cloud computing and DevOps course:

  • Learn cloud security best practices.
  • Gain experience with automation tools.
  • Understand cloud economics and cost management.
  • Enhance your career prospects.
  • Join a growing community of professionals.
  • Receive career counselling and support.
  • Flexible online learning options.
  • Boost your resume with relevant certifications.
  • Position yourself for lucrative opportunities in tech.

Conclusion

In conclusion, the Cloud Computing and DevOps course at Digital Regenesys equips students with essential skills for thriving in today’s tech landscape. By offering practical training on leading platforms and real-world projects, learners are well-prepared for high-demand roles in cloud technology and automation. With flexible online learning and expert guidance, this course is a valuable investment in your career. As industries increasingly adopt cloud solutions, you can be confident that your skills will open up exciting opportunities in a rapidly evolving job market. Join us and take the next step in your professional journey!

Unlock the power of learning with our cutting - edge online courses, designed to inspire, engage, and transform the way you learn and grow!

South Africa Corporate Office

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165 west Street, Sandton, Johannesburg South Africa, 2031

Nigeria Corporate Office

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8th Floor, Churchgate Tower 2 PC 31 Victoria Island, Nigeria

India Corporate Office

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Proxima Building, Unit 1101 11th Floor, Plot 19, Sector 30 A, Vashi, Navi Mumbai, India, 400705

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Croatia Corporate Office

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Uganda Corporate Office

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Arie Tower, 6th Floor, 16 Mackinnon Rd, Kampala, Uganda

Tanzania Corporate Office

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G11 Ground Floor, Kwik Spaces, 1040 Haile Selassie Road, Masaki Dar es Salaam, 16572

Copyright © 2024 | Regenesys (Pty) Ltd | All Rights Reserved

Unlock the power of learning with our cutting - edge online courses, designed to inspire, engage, and transform the way you learn and grow!

South Africa Corporate Office

Location Icon

165 west Street, Sandton, Johannesburg South Africa, 2031

Nigeria Corporate Office

Location Icon

8th Floor, Churchgate Tower 2 PC 31 Victoria Island, Nigeria

India Corporate Office

Location Icon

Proxima Building, Unit 1101 11th Floor, Plot 19, Sector 30 A, Vashi, Navi Mumbai, India, 400705

Kenya Corporate Office

Location Icon

1203, 12th Floor, GTC Office Tower Intersection of Waiyaki Way, Chiromo Ln, Nairobi, Kenya

Croatia Corporate Office

Location Icon

SV. Bartula 131, 23000 Kozino, Zadar, Croatia

Uganda Corporate Office

Location Icon

Arie Tower, 6th Floor, 16 Mackinnon Rd, Kampala, Uganda

Tanzania Corporate Office

Location Icon

G11 Ground Floor, Kwik Spaces, 1040 Haile Selassie Road, Masaki Dar es Salaam, 16572

Copyright © 2024 | Regenesys (Pty) Ltd | All Rights Reserved | Terms & Conditions| Privacy Policy