Cloud and DevOps

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Master's Program
Rating : 4.4/5
4.4/5
Course Fees: Rs: 49,900 | Discount Fees: Rs: 34,999

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Overview of Cloud and DevOps Master Course

The Cloud & DevOps Master Course at Fast Learning Technologies is designed to provide a strong foundation in cloud computing, infrastructure automation, continuous integration & deployment (CI/CD), containerization, and cloud security. This course is ideal for aspiring Cloud Engineers, DevOps Engineers, and Site Reliability Engineers (SREs) looking to gain hands-on experience in AWS, Azure, Google Cloud, Docker, Kubernetes, Terraform, Jenkins, and Ansible.

By the end of this course, you will be able to:
  • Master AWS, Azure, and Google Cloud computing services.
  • Automate infrastructure with Terraform & Ansible.
  • Deploy, manage, and scale applications using Docker & Kubernetes.
  • Build CI/CD pipelines with Jenkins, GitHub Actions, and GitLab CI.
  • Gain expertise in cloud security, monitoring, and logging.

Why Choose Fast Learning Technologies?

Expert Trainers

Live Projects

Placement Support​

Certifications

Affordable Fees

Hands-on Training

Syllabus - Cloud and DevOps

Module 1: Introduction to Cloud Computing
  • What is Cloud Computing?
  • Cloud Service Models: IaaS, PaaS, SaaS
  • Public, Private, and Hybrid Cloud
  • Multi-Cloud vs Single Cloud Strategies
  • Cloud Deployment Best Practices
  • Career Opportunities in Cloud & DevOps.
Module 2: AWS (Amazon Web Services)
  • Introduction to AWS
  • AWS Global Infrastructure & Services
  • AWS Identity & Access Management (IAM)
  • Amazon EC2 (Virtual Machines) & Auto Scaling
  • AWS S3 (Object Storage) & EBS (Block Storage)
  • AWS VPC, Networking & Route 53
  • AWS Lambda & Serverless Computing
  • AWS RDS & DynamoDB (SQL & NoSQL Databases)
  • AWS Security & Compliance.
Module 3: Microsoft Azure
  • Introduction to Azure Cloud
  • Virtual Machines & Load Balancing
  • Azure Blob Storage & File Storage
  • Azure SQL Database & CosmosDB
  • Azure Active Directory & Role-Based Access Control (RBAC)
  • Azure DevOps & Pipelines
  • Azure Kubernetes Service (AKS).
Module 4: Google Cloud Platform (GCP)
  • Introduction to GCP
  • Compute Engine, App Engine & Cloud Functions
  • Google Kubernetes Engine (GKE)
  • Cloud SQL & BigQuery
  • GCP Networking & IAM Security
  • Cloud Storage & Cloud Pub/Sub
Module 5: DevOps Fundamentals
  • What is DevOps?
  • DevOps vs Traditional IT
  • Key DevOps Tools & Technologies
  • DevOps Lifecycle & Best Practices
Module 6: Version Control with Git & GitHub
  • Git Basics: Commit, Branching, Merging
  • Working with GitHub & GitLab
  • Git Workflows & Collaboration
  • GitHub Actions for Automation.
Module 7: Infrastructure as Code (IaC) with Terraform & Ansible
  • Git Basics: Commit, Branching, Merging
  • Working with GitHub & GitLab
  • Git Workflows & Collaboration
  • GitHub Actions for Automation.
Module 8: Containerization with Docker
  • Introduction to Docker & Containerization
  • Docker Installation & Setup
  • Building Docker Images & Dockerfile Best Practices
  • Running & Managing Containers
  • Docker Compose for Multi-Container Apps
Module 9: Kubernetes for Container Orchestration
  • Introduction to Kubernetes Architecture,
  • Kubernetes Clusters & Deployments,
  • Pods, Services, ConfigMaps & Secrets,
  • Helm Charts & Kubernetes Operators,
  • Kubernetes Networking & Ingress Controllers,
  • Kubernetes Security & RBAC,
Module 10: CI/CD Pipelines & Automation
  • Continuous Integration vs Continuous Deployment,
  • Setting Up Jenkins for CI/CD,
  • GitHub Actions & GitLab CI/CD Pipelines,
  • Deploying Applications on Kubernetes,
  • Monitoring & Logging with Prometheus & Grafana,
Module 11: Cloud Security & DevOps Monitoring
  • Cloud Security Best Practices,
  • AWS CloudTrail & CloudWatch,
  • Azure Security Center,
  • Google Cloud Security Command Center,
  • Log Management & Threat Detection.
Final Projects
  • Two Real-Time Cloud & DevOps Projects
  • Resume & LinkedIn Optimization
  • Mock Interviews & Job Assistance

Want to Book Your Seat?

Batch Timing

Weekdays Batch ( Monday-Friday )

1 – 1.5 hr  :  7 AM to 9 PM ( in-between any Timings )

Weekend Batch ( Sat & Sun )

2 – 3 hr  :  8 AM to 8 PM ( in-between any Timings )

Certification

All major global multinational corporations accept our certification. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees, by earning this certification, which is provided at the conclusion of the course.
You can increase the importance of your profile during interviews and gain access to a wide range of professional opportunities by combining this certificate with your CV.
The certification is only given upon the successful completion of our training and project-based projects with a practical component.

Students Review

Fast Learning Technologies offers the best Data Analytics training in Bangalore. I enrolled in their program to enhance my skills in this field, and I was able to learn everything in depth. I would like to thank the entire team at Fast Learning Technologies for their support. I highly recommend this training to my friends. Thank you.
Surya
My Honest Review. Joined Fast Learning Technologies with Zero Knowledge on SQL but after completing the course i can confidently say that I gained lot of knowledge on SQL. Trainers here are best in the industry. I will never have a second thought to refer any of my friends to this institute. Keep doing good
Saravana Natraj
This is a very good institute with excellent facilities, and I am confident that everyone will find a job after completing their training. The practical classes are beneficial, and the instructor covered all the material with impressive presentation skills. I highly recommend this institute, especially for those not in the IT field.
Lalith Kumar

Frequently Asked Questions

Who are the Trainers?
Fast Learning Technologies instructors are all industry practitioners with at least 9-12 years of relevant IT experience. They are subject matter experts, who have been trained by Fast Learning Technologies to deliver an extraordinary learning experience.
What if I miss one (or) more class?
Not to worry. Fast Learning Technologies ensure that no single lecture topic is missed. With all such options, we will reschedule the classes at your convenience within the course duration. If necessary, you can attend that topic with any other batch.
Is this course available Online or offline?
All courses are available in both Online and offline mode
How much is the fee for course?

It is mentioned on the course pages. Discount prices are only available for a limited time

How long is the duration of the course?
  • Course duration for Training courses are 30 – 45 Hrs.
  • Course duration for Master courses are 90 – 135 Hrs
For any queries?
For any queries please contact us +91 9663550666
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