Cloud Computing and DevOps Course with AI/ML Outcomes
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Course Overview
Course Curriculum
Tools Covered In This Course
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Cloud Computing Course Overview
Advance your career with our 32 weeks 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.
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Cloud Computing and DevOps Course Curriculum
- 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 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
Tools Covered In This Cloud Computing and DevOps Course
Pricing Across The Countries
Student Reviews
Over 10,000+ Learners
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
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of Digital Regenesys.
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?
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?
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?
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?
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.
FAQ
- 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
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 32 weeks 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:
Topics | Curriculum |
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Cloud Foundations and Essentials |
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Advanced Cloud Engineering & DevOps |
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AI & Machine Learning for Cloud Professionals |
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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 Role | Average Salary | Career Progression |
---|---|---|
Cloud Engineer | R 46,721 | Cloud Engineers can advance to roles like Cloud Architect, leading cloud infrastructure design. |
DevOps Engineer | R 317,087 | With few years of experience they can progresses to Senior DevOps Engineer or DevOps Manager, overseeing team operations. |
Cloud Architect | R 204,000 | They can progress to Chief Cloud Officer (CCO), where they lead the organisation's overall cloud strategy and innovation. |
Cloud Specialist | R 1,200,000 | Cloud Specialist can move into roles like Cloud Solutions Director for overseeing the design and management of advanced cloud infrastructures. |
Cloud consultant | R 86,621 | Cloud 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!