
AWS Course in Bangalore with DevOps:
Cloud Computing Training with Gen AI
The AWS and DevOps course at ScholarLogic, BTM Layout, Bengaluru, is a 150+ hour course, usually run over 12 to 16 weeks, covering Linux, AWS, Docker, Kubernetes, Jenkins and Ansible, with a Gen AI module. Classroom batches and live online batches are available, including evening and weekend batches for working professionals. You can attend a free demo class before you enrol.


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Why Choose Our AWS and DevOps Training in Bangalore?
- Why Scholar Logic
- Expert Trainers - Real-time industry experts
- Personalised Learning - 1:1 mentorship + doubt clearing + practice sessions
- Small Class Sizes - 10 to 15 Max
- What You Will Learn
- Comprehensive Curriculum – AWS + DevOps tools
- Updated Course Material – Industry-standard syllabus
- Live Tools – EC2, S3, Lambda, Jenkins, Docker, Kubernetes, Terraform
- Hands-On Learning
- Hands-on Learning – Practical labs
- Industry-Relevant Projects – 2–3 real-world projects
- Cloud Deployment Practice – CI/CD pipelines, containerization, monitoring
- Certification & Job Assistance
- AWS Certification Preparation
- Mock Tests + Interview Prep
- Job Assistance – Resume building, interview prep
- Placement Support – Companies our alumni work with
AWS and DevOps Course Curriculum
Topics to be covered
- Linux
- Api
- Information Security
- Devops
Linux
Module 1: Introduction to Linux for Cloud Computing
What is Linux? Why is it important for Cloud Computing?
Linux Distributions (Ubuntu, CentOS, RHEL, Debian, Amazon Linux)
Cloud-based Linux vs. Traditional Linux
Installing and Setting Up Linux in Cloud (AWS, Azure, GCP)
Module 2: Linux Command Line & Shell Scripting
Basic Linux Commands (ls, cd, cp, mv, rm, cat, grep, find)
File and Directory Permissions (chmod, chown)
User and Group Management
Process Management (ps, top, kill, nice)
Bash Scripting for Automation
Module 3: Linux System Administration in Cloud
Managing Linux Instances on AWS (EC2), Azure (VMs), GCP (Compute Engine)
Package Management (apt, yum, dnf, snap)
File Systems & Disk Management (ext4, XFS, LVM)
Configuring Network and Firewall (iptables, ufw, firewalld)
Logging and System Monitoring (journalctl, dmesg, syslog)
Module 4: Linux Security in Cloud Environments
Secure SSH Access & Key Management
SELinux & AppArmor for Cloud Security
Implementing Firewalls and Network Security Groups (NSG)
Security Hardening Best Practices
Cloud Identity & Access Management (IAM)
Module 5: Linux Automation & DevOps Tools
Infrastructure as Code (IaC) with Terraform and Ansible
Automating Linux Configuration with Cloud-Init
Using Systemd for Service Management
Log Analysis with ELK Stack (Elasticsearch, Logstash, Kibana)
Cloud DevOps Tools (Jenkins, Docker, Kubernetes)
Module 6: Linux Storage & Databases in Cloud
Cloud Storage Services (AWS S3, Azure Blob, Google Cloud Storage)
Mounting and Managing Cloud Disks (EBS, Azure Disks, Persistent Disks)
Managing Databases in Cloud (MySQL, PostgreSQL, MongoDB)
Backup & Disaster Recovery Strategies
Module 7: Linux Performance Tuning & Troubleshooting
Analyzing System Performance (htop, iostat, vmstat)
Kernel Optimization for Cloud Workloads
Debugging Cloud-Based Linux Issues
Log File Analysis and Troubleshooting
Module 8: Linux in Multi-Cloud and Hybrid Cloud
Managing Linux Workloads in Multi-Cloud Environments
Hybrid Cloud Linux Administration
Cloud Networking & VPNs (AWS VPC, Azure Virtual Network)
Migrating Linux Workloads to Cloud
Module 9: Hands-on Projects & Case Studies
Setting up a Linux Web Server on AWS/GCP/Azure
Automating Server Provisioning with Terraform & Ansible
Configuring Secure Linux Access for Cloud-Based Workloads
Performance Monitoring and Optimization in Cloud Linux Environments
Deploying a Kubernetes Cluster on Linux Servers
Api
Module 1: Introduction to Cloud APIs
What is an API?
Role of APIs in Cloud Computing
RESTful APIs vs. SOAP APIs
JSON vs. XML in Cloud APIs
Authentication Methods (API Keys, OAuth, JWT)
API Rate Limiting and Throttling
Module 2: Cloud API Service Providers Overview
AWS APIs (EC2, S3, Lambda, IAM)
Google Cloud APIs (Compute Engine, Storage, BigQuery)
Microsoft Azure APIs (Virtual Machines, Storage, Identity)
IBM Cloud and Oracle Cloud APIs
Comparing Cloud API Services
Module 3: API Development & Integration
API Request and Response Cycle
REST API Methods (GET, POST, PUT, DELETE)
Using Postman for API Testing
API Documentation (Swagger, OpenAPI)
Best Practices for API Developmen
Module 4: Authentication and Security in Cloud APIs
OAuth 2.0 and OpenID Connect
API Gateway Security (AWS API Gateway, Azure API Management)
Token-Based Authentication (JWT, API Keys)
Role-Based Access Control (RBAC) in APIs
CORS Policy and API Security Best Practices
Module 5: AWS APIs in Depth
AWS SDK and CLI for API Calls
Working with AWS EC2 API
S3 API for Object Storage Management
AWS Lambda API for Serverless Computing
IAM API for User and Role Management
Module 6: Google Cloud APIs in Depth
Google Cloud SDK and REST APIs
Compute Engine API for VM Management
Google Cloud Storage API for Data Handling
BigQuery API for Data Analysis
Google Cloud Pub/Sub API for Messaging
Module 7: Microsoft Azure APIs in Depth
Azure REST API and SDKs
Azure Virtual Machines API
Azure Blob Storage API
Azure Identity API for Authentication
Azure Functions API for Serverless Execution
Module 8: API Management and Monitoring
API Gateway Services (AWS API Gateway, Azure API Management, Apigee)
Rate Limiting, Quotas, and Caching
API Monitoring and Logging (CloudWatch, Azure Monitor)
Troubleshooting API Errors
Module 9: Cloud API Automation & DevOps
Infrastructure as Code (Terraform, CloudFormation)
CI/CD Pipelines for API Deployment
Automating API Calls with Python, Node.js
API Performance Testing
Module 10: Case Studies and Hands-On Projects
Building a REST API using AWS Lambda and API Gateway
Deploying a Cloud-Native App with Google Cloud APIs
Secure Authentication with OAuth 2.0 and Cloud APIs
Real-World API Use Cases in Cloud Computing
Information Security
Module 1: Introduction to Cloud Security
Basics of Cloud Computing and Security Challenges
Shared Responsibility Model in Cloud Security
Security Risks in Cloud Environments
Cloud Security vs. Traditional IT Security
Compliance and Regulatory Concerns (GDPR, HIPAA, ISO 27001, SOC 2)
Module 2: Cloud Security Architectures
Cloud Security Frameworks (NIST, CSA)
Security Models for Public, Private, Hybrid Clouds
Cloud Security Posture Management (CSPM)
Zero Trust Security Model in Cloud
Module 3: Identity and Access Management (IAM)
Authentication & Authorization in Cloud
Role-Based Access Control (RBAC) & Attribute-Based Access Control (ABAC)
Multi-Factor Authentication (MFA)
Identity Federation and Single Sign-On (SSO)
Cloud IAM Services (AWS IAM, Azure AD, Google Cloud IAM)
Module 4: Data Security in Cloud
Data Encryption Techniques (AES, RSA)
Data Masking, Tokenization, and Obfuscation
Cloud Storage Security (S3, Blob, Google Cloud Storage)
Secure Data Sharing in Cloud
Data Loss Prevention (DLP) Strategies
Module 5: Network Security in Cloud Computing
Virtual Private Cloud (VPC) Security
Firewalls and Intrusion Detection Systems (IDS/IPS)
Secure Network Segmentation
Distributed Denial of Service (DDoS) Protection
Cloud-Based Web Application Firewalls (WAF)
Module 6: Security Threats and Vulnerabilities in Cloud
Common Cloud Threats (Misconfiguration, Insider Threats)
Malware, Ransomware, and Phishing in Cloud
API Security Vulnerabilities and Protection
Cloud Penetration Testing and Ethical Hacking
Module 7: Cloud Security Monitoring & Incident Response
Cloud Security Information and Event Management (SIEM)
Log Management and Threat Intelligence
Security Automation and Orchestration (SOAR)
Incident Detection, Response, and Recovery in Cloud
Forensic Investigation in Cloud
Module 8: Compliance and Legal Issues in Cloud Security
Cloud Security Compliance Standards (SOC 2, PCI DSS)
Data Privacy Laws (GDPR, CCPA)
Auditing and Security Assessments in Cloud
Legal and Ethical Concerns in Cloud Security
Module 9: Cloud Security Best Practices and DevSecOps
Secure DevOps (DevSecOps) in Cloud Environments
Security as Code (IaC Security)
Secure Software Development Lifecycle (SDLC)
Continuous Security Monitoring and Policy Enforcement
Module 10: Case Studies and Hands-on Projects
Implementing Cloud IAM and MFA Security
Securely Configuring Cloud Storage Services
Deploying Web Apps with Cloud WAF and Security Groups
Performing Cloud Security Audits and Compliance Checks
Real-world Incident Response in Cloud Security
Devops
Module 1: Introduction to Cloud DevOps
What is DevOps? DevOps vs Traditional IT
Role of DevOps in Cloud Computing
DevOps Lifecycle (Plan, Develop, Build, Test, Release, Deploy, Operate, Monitor)
Cloud-Native DevOps Practices
Key Cloud DevOps Tools Overview (Terraform, Kubernetes, Jenkins, Docker)
Module 2: Cloud Infrastructure and Automation
Infrastructure as Code (IaC) – Concept & Benefits
Introduction to Terraform, CloudFormation, ARM Templates
Automating Infrastructure Deployment (AWS, Azure, GCP)
Configuration Management Tools (Ansible, Puppet, Chef)
Serverless Computing and Automation (AWS Lambda, Azure Functions)
Module 3: Continuous Integration & Continuous Deployment (CI/CD) in Cloud
What is CI/CD? CI/CD Pipeline Overview
CI/CD in AWS (CodePipeline, CodeDeploy, CodeBuild)
CI/CD in Azure (Azure DevOps, GitHub Actions)
CI/CD in Google Cloud (Cloud Build, Cloud Deploy)
Automated Testing in CI/CD Pipelines
Canary and Blue-Green Deployments
Module 4: Containerization & Kubernetes in Cloud
Introduction to Containers (Docker)
Kubernetes Architecture and Components
Deploying Kubernetes Clusters in AWS (EKS), Azure (AKS), GCP (GKE)
Helm Charts and Kubernetes Configurations
Kubernetes Networking and Service Mesh (Istio, Linkerd)
Module 5: Cloud Security in DevOps (DevSecOps)
Introduction to DevSecOps: Security in CI/CD
Cloud Identity & Access Management (IAM)
Secrets Management (AWS Secrets Manager, HashiCorp Vault)
Security Scanning Tools (Snyk, Trivy)
Compliance as Code (Policy Enforcement with Open Policy Agent)
Module 6: Monitoring, Logging, and Performance Optimization
Cloud Monitoring Tools: AWS CloudWatch, Azure Monitor, Google Cloud Operations Suite
Log Management and Analysis (ELK Stack, Prometheus, Grafana)
Observability in Cloud DevOps
Performance Testing & Optimization
Incident Response and Disaster Recovery in DevOps
Module 7: Site Reliability Engineering (SRE) & Cloud Operations
Introduction to SRE in Cloud Computing
SLAs, SLOs, SLIs – Measuring Reliability
Auto-scaling and Load Balancing (AWS ALB, Azure Load Balancer, GCP Load Balancer)
Incident Management and Root Cause Analysis
Chaos Engineering for Fault Tolerance
Module 8: Multi-Cloud and Hybrid Cloud DevOps
Introduction to Multi-Cloud Strategies
Managing Hybrid Cloud Workloads with DevOps
CI/CD Pipelines for Multi-Cloud Deployment
Cloud Networking in Hybrid Environments
Cost Optimization Strategies in Multi-Cloud
Module 9: Hands-on Projects & Case Studies
Automating Cloud Infrastructure with Terraform & Ansible
Building a CI/CD Pipeline for a Cloud-Native Application
Deploying and Managing Kubernetes in AWS/GCP/Azure
Implementing Cloud Security in DevOps Pipelines (DevSecOps)
Monitoring and Performance Tuning in a Cloud-Based DevOps Environment
AWS Certification Training in Bangalore
Industry-Recognized Certification:
By completing this program, you’ll earn a respected Cloud Computing Training in Bangalore in Bangalore that is widely acknowledged across the tech industry. It not only validates your skills but also strengthens your professional profile when approaching companies.
Strong Certification Credibility:
Our Cloud Computing Course in Bangalore holds real value in the job market. It reflects your dedication, hands-on learning, and the effort you’ve put into mastering the subject.
High Market Demand:
The skills covered in this course are currently in strong demand. Having this certification can open more doors and increase the number of interview calls you receive.
Boosts Career Growth:
Many students experience faster career growth after getting certified. It often leads to better job roles, promotions, and increased responsibilitie.
Why ScholarLogic?
Compare us with other training institutes in Bangalore
AWS and DevOps Course Fees in Bangalore
For the best price, contact our counselors. Call +91 78923 93639 or book a free demo class, and we will guide you on fees, batches and the pay after placement option.
Ready to join the best Cloud Computing Training in Bangalore ?
Why ScholarLogic Over Other Institutes?
15+ Case Studies & Assignments
Work on 15+ Case studies and Assignments with 24/7 Assignment support.
Industry Relevant Projects
Get Industrial experience by working on our Industry Relevant Live Projects.
Tied-up with 200+ Companies
ScholarLogic has Tied up with 200+ Companies to Provide Jobs to Many Students
Job Readiness Program
A dedicated placement cell for the participants who completed the course
Skills Covered
Linux
API
Programming Languages
Database Management skills
Information Security
DevOps
Tools & Technologies Covered
Cloud Service Providers
Amazon Web Services (AWS)
Cloud Networking & Security
Multi-Cloud & Hybrid Cloud Management
Configuration Management
Virtualization & Containerization
Linux
API
Programming Languages
Database Management skills
Information Security
Devops
Learning Path
Placement Assistance After Course Completion
Salary Growth & Job Market
See how Cloud Computing Training in Bangalore transforms earning potential in Bangalore
Who Can Join the Cloud Computing Course in Bangalore?
- Graduates who have a keen interest in Java and want to strengthen their technical foundation while building a future in cloud computing can greatly benefit from this Cloud Certification Training Bangalore.
- IT professionals planning to shift their career towards AWS and DevOps will find this program ideal for gaining a strong, job-ready understanding of cloud technologies.
- Working professionals looking to grow in the IT field can use this training to build practical experience with AWS DevOps tools, automation, and real-time project workflows.
- Java developers, project leads, and managers who wish to transition into cloud and DevOps roles will find this course a smooth pathway toward modern technology adoption.
- Freshers who want to begin their career in AWS DevOps—one of the most in-demand skills in Bangalore’s IT market—can use this course as a strong starting point for excellent job opportunities.
- Professionals from non-programming backgrounds who want to shift into cloud technology can also join this Cloud Computing Training in Bangalore, as the course starts from fundamentals and gradually moves into advanced real-time concepts.
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ScholarLogic The Best For
Experienced Faculty
Work Hands-on with 2+ Real Life Projects
Dedicated Placement Cell for Placement Assistance
Dedicated Case studies support team
24/7 Trainer Whatsapp Support
Lifetime eLearning access
Contact Our Team of Experts






From Learning to Earning Real Students Journey
What Our Students Have To Say about Us

ScholarLogic’s DevOps training provided clear insights into pipelines. The real-time tasks and mentor guidance quickly built my confidence and prepared me for the job.
Narayana Swamy
Student
The Python course was straightforward, practical, and well-organized. The hands-on exercises enhanced my coding skills and effectively prepared me for interviews.
David S
Student
AWS sessions were productive and focused on real projects. The trainer explained cloud concepts clearly, making complex topics easy to understand.
Dipen Bhangale
Student
Data analytics training covered SQL, Power BI, and Excel using real datasets. I gained confidence through practice labs and received strong placement support.
Harshith Vasanth
Student
The Java course effectively covered both basic and advanced concepts. Real-world examples and project guidance enabled me to master coding and approach interviews with confidence.
Rohit Gurjar
Student
The Front-End Development course at ScholarLogic was outstanding. The curriculum was up-to-date with the latest technologies, and the trainers made learning enjoyable. The projects were challenging but rewarding and the placement support was very effective.
Jidnyesh Sachin Patil
Student
ScholarLogic’s DevOps course provided an excellent foundation for my career. The trainers were experts in the field, and the course content was up-to-date and relevant. The placement support was effective, and I was able to secure a job shortly after completing the course.
Golu Tekade
Student
Scholarlogic is best for learning it field and teaching was excellent and I have learned Devops and this institute helpful for students ,it is overall good experience for me, the way of teaching and solving doubts and guiding me was good😊
Veeresh
Student
The way of teaching is so good for me the teaching is so clean and neat easily understood. They help me clear all my doubts anyway it is a good experience in my life Like
Brijesh
Student
I recently completed a course at ScholarLogic Training Institute, and I must say, it exceeded all my expectations. From start to finish, the experience was nothing short of exceptional.
Dayanand
Student
"Fantastic coaching classes! Great instructors, and personalized attention. Highly recommend!" Thank you Scholarlogic
Shrivathsa M
Student
I have completed my cloud computing course recently I had good experience in scholar logic and the trainers are very friendly.
Pandurang Hundekar
StudentPosted on Google![]()
Yuvaraj b YuvarajTrustindex verifies that the original source of the review is Google.
My learning experience at Scolerlogics is very good. The trainers explain concepts clearly and help us understand topics easily. We get practical knowledge and good support from the trainers. It is a good place for students to improve their technical skills and gain confidence. Thank you to all the trainers for their support and guidance.Posted on Google![]()
gangaram lamaniTrustindex verifies that the original source of the review is Google.
Pooja Mam explains DevOps concepts clearly with practical examples, making the sessions easy to understand and engaging. Her guidance and supportive teaching style have helped me improve my understanding and confidence in DevOps. Overall, it was a great learning experience.Posted on Google![]()
Kunuthuru YashwanthreddyTrustindex verifies that the original source of the review is Google.
I had a good experience with the AWS course at ScholarLogic. The course content is useful and easy to understand. The trainer explains the concepts clearly and is very supportive. I learned a lot about AWS and cloud technologies. Overall, I’m happy with the training and would recommend ScholarLogic to others.Posted on Google![]()
Madhavan AchuthalingamTrustindex verifies that the original source of the review is Google.
The AWS class at Scholarlogic was good and well organized. The concepts were explained clearly, and the sessions were neat and easy to understand. Overall, it was a good learning experience.Posted on Google![]()
Saloni ChouguleTrustindex verifies that the original source of the review is Google.
Scholar Logic is a good training institute with supportive trainers and practical learning. The concepts are explained clearly, and the training is helpful for improving technical skills and interview confidence. Overall, a good place for freshers to learn and grow.Posted on Google![]()
Hemanth.STrustindex verifies that the original source of the review is Google.
Mam Pooja explained the concepts patiently and made it easier to understand both the theory and practical implementation. We covered the major AWS services and worked on hands-on concepts, which gave me better confidence in working with AWS. I’m really thankful to ScholarLogic and Mam Pooja for providing a good learning environment and guidance throughout the course. Overall, it was a valuable experience for me, especially as I’m starting my career in Cloud Computing. I would definitely recommend this course to anyone looking to learn AWS and build a strong foundation in Cloud.Posted on Google![]()
Tharun SaiTrustindex verifies that the original source of the review is Google.
I am started in scholorlogic institute they give believe to me to get a job on my course and they trained very in my course they encouraged to placement drive to me and trainers very well on course and good explanation and they provide assignment and written works and it is good for new batchPosted on Google![]()
Gongati Naresh -Artificial intelligenceTrustindex verifies that the original source of the review is Google.
The AWS training was very useful and practical. The trainer explained each concept clearly with real-time examples and hands-on practice, which made it easier to understand how AWS services are used in real-world projects. I especially appreciated the trainer’s patience in answering questions and guiding us during practical sessions. Overall, it was a great learning experience to mePosted on Google![]()
Snkar SaiTrustindex verifies that the original source of the review is Google.
AWS session was very informative and beginner-friendly. Explained EC2, S3, VPC concepts very clearly with real-time examples. Learned how cloud actually works.Explain each and services clearly therosy part as well as practical alsoo.Thank You
AWS and DevOps Training in Bangalore: Syllabus and Labs
This single Cloud Computing course teaches AWS and DevOps together: Linux first, then AWS core services such as EC2, S3, IAM and VPC, then Docker, Kubernetes and Jenkins, with a Gen AI module. You practise on hands-on labs and prepare for interviews with mock sessions.
It suits freshers, graduates and working professionals moving into cloud or DevOps roles. Classroom training is at BTM Layout, Bengaluru, and free demo classes run every morning at a time that suits you.
For the best price, contact our counselors at +91 78923 93639. EMI is available, ask our counselors.
Frequently Asked Questions
Who can apply for this training?
Anyone interested in AWS and DevOps! Whether you’re a fresher, IT professional looking to switch, or someone from a non-technical background – we have the right program for you. No prior AWS experience required.
Do I need to have IT background?
No. We have students from various backgrounds – IT, finance, operations, even non-technical fields. Our curriculum is designed for beginners but also challenging for experienced professionals.
Do you provide placement support?
Yes. Our placement cell helps with resume preparation, mock interviews and introductions to our hiring partners. Your final result depends on your practice and interview performance, so we focus on getting you genuinely job-ready.
Is there a pay after placement option?
Yes. A pay after placement option is available for this course. Please contact our counselors at +91 78923 93639 for the details.
What is the duration of the course?
150+ hours of intensive training spread over 12-16 weeks depending on your batch schedule. Includes evening (6-9 PM) and weekend batches for working professionals.
How many students are in each batch?
Small batches of 10-15 students maximum. This ensures personalized 1:1 mentorship and individual attention from trainers.
Will I get any certification?
Yes! You’ll get ScholarLogic certification. We also prepare you for AWS Solutions Architect Associate certification. You can take the official AWS exam separately.
How is the placement process conducted?
Our dedicated placement cell conducts resume reviews, mock interviews, LinkedIn optimization, and direct referrals to 200+ companies. You’ll have 24/7 support from mentors throughout the process.
How does placement support work after the course?
Placement support continues after the course ends. Ask our counselors about the current placement process during your free demo class.
What If I Miss A Live Session?
- Not a problem even if you miss a live AWS and DevOps session for some reason. Every session will be recorded and access will be given to all the videos on ScholarLogic state-of-the-art Learning Management System (LMS). You can watch the recorded AWS and DevOps sessions at your own pace and convenience.
Do you offer a free demo class?
Yes. You can book a free demo class at our BTM Layout centre. Call +91 78923 93639 to book a slot.
What tools will I learn in the AWS and DevOps course?
Linux, AWS, Docker, Kubernetes, Jenkins and Ansible, plus a Gen AI module for using AI tools in DevOps work.
Are there evening or weekend batches?
Yes. Evening (6 to 9 PM) and weekend batches are available for working professionals.
Do I need prior AWS or IT experience?
No. The course starts from the basics, and students come from IT and non-IT backgrounds.
Do I need coding knowledge for the AWS and DevOps course?
Basic comfort with computers is enough to start. Linux basics are taught first, and the course builds up to AWS services and DevOps tools.
Is AWS certification part of the course?
The course covers the topics you need to prepare. The certification exam itself is separate, so ask our counselors for current details.