Azure DevOps Course Bangalore
Looking for a practical and career-focused azure devops course bangalore? Fast Learning Technologies offers a structured Azure DevOps training program designed for students
Online/Offline
Mode
3 - 4 Months
Duration
5+Live
Real time projects
Industry Recognized
Certification
About Azure DevOps Course
Looking for a practical and career-focused azure devops course bangalore? Fast Learning Technologies offers a structured Azure DevOps training program designed for students, fresh graduates, working professionals, software developers, testers, system administrators, cloud learners, and career switchers who want to build strong skills in Azure DevOps tools, CI/CD pipelines, version control, cloud deployment, automation, collaboration, and real-time project workflows.
Bangalore is one of India’s leading IT and cloud technology hubs. Many companies in the city use cloud platforms, agile development, automation, and DevOps practices to deliver software faster and more reliably. Azure DevOps is widely used by teams that want to manage code, plan work, build applications, test changes, release software, and monitor development progress in one connected platform.
At Fast Learning Technologies, our Azure DevOps course in Bangalore helps learners understand Azure Repos, Azure Boards, Azure Pipelines, Azure Artifacts, Azure Test Plans, Git workflows, CI/CD concepts, cloud deployment, project tracking, and real-time implementation. The course is designed in simple professional language so learners can understand each concept step by step.
Whether you are a beginner or already have basic IT knowledge, this course helps you build practical Azure DevOps skills for modern software delivery roles.
What Makes Fast Learning Technologies a Trusted Choice?
Fast Learning Technologies focuses on practical training, clear explanation, and career-ready learning. Azure DevOps can feel confusing at first because it combines development, operations, cloud, automation, project management, testing, and deployment workflows. Many learners know individual tools but do not understand how these tools work together in a professional project environment.
Our training solves this problem with a structured learning path. Students first understand DevOps fundamentals, then move into Azure DevOps services such as Repos, Boards, Pipelines, Artifacts, and Test Plans. They also learn how CI/CD pipelines help teams automate build and release workflows.
The goal is not only to explain Azure DevOps features. The goal is to help students understand how real companies use Azure DevOps to manage software projects from planning to deployment.
A good Azure DevOps professional should understand code management, agile boards, pipeline automation, environment setup, release workflow, cloud deployment, and collaboration between development, testing, and operations teams. Fast Learning Technologies trains students with this practical and workplace-focused approach.
What Makes Our Azure DevOps Course Different?
Our Azure DevOps course focuses on:
- Beginner-friendly DevOps and Azure concepts
- Azure Repos and Git workflow practice
- Azure Boards for agile project tracking
- Azure Pipelines for CI/CD automation
- Build and release pipeline understanding
- Azure cloud deployment basics
- Real-time project-based training
- Resume and interview preparation
- Career guidance for DevOps and cloud roles
- Bangalore-focused IT job market relevance
Our Alumni's Are Placed At
Course Curriculum
- What is Data Science?
- Data Science vs Data Analytics vs Machine Learning vs AI
- Career Opportunities in Data Science
- Lifecycle of a Data Science Project
- Overview of Tools & Technologies (Python, R, SQL, Power BI, TensorFlow, etc.).
- Linear Algebra Essentials
- Probability & Distributions
- Descriptive & Inferential Statistics
- Hypothesis Testing & Confidence Intervals
- Correlation & Regression Analysis
- Time Series Analysis Basics.
- Python Basics & Data Structures
- Control Statements & Functions
- Libraries for Data Science (NumPy, Pandas, Matplotlib, Seaborn)
- Data Wrangling & Preprocessing
- Data Visualization with Python
- Automating Data Workflows with Python.
- Introduction to Databases (MySQL, PostgreSQL)
- Writing SQL Queries (SELECT, INSERT, UPDATE, DELETE)
- Joins, Subqueries & Indexing
- Data Aggregation & Grouping
- Data Warehousing & ETL Concepts
- NoSQL Databases (MongoDB).
Excel & Advanced Excel
- Pivot Tables, VLOOKUP, HLOOKUP
- Data Cleaning & Validation
- Macros & Automation
Power BI & Tableau
- Creating Dashboards & Reports
- Data Modeling & DAX Functions
- Connecting to Multiple Data Sources
- Introduction to Machine Learning
- Supervised vs Unsupervised Learning
- Regression Techniques (Linear, Multiple, Polynomial)
- Classification Models (Logistic Regression, SVM, Decision Trees, Random Forest)
- Clustering (K-Means, DBSCAN, Hierarchical)
- Model Evaluation Metrics (Confusion Matrix, ROC, Precision-Recall)
- Feature Engineering & Data Scaling
- Introduction to Neural Networks
- TensorFlow & Keras Basics
- Artificial Neural Networks (ANN)
- Convolutional Neural Networks (CNN) for Image Processing
- Recurrent Neural Networks (RNN) for Time-Series Data
- Generative Adversarial Networks (GANs)
- Hyperparameter Tuning & Model Optimization.
- Text Processing & Tokenization
- Sentiment Analysis & Text Classification
- Named Entity Recognition (NER)
- Chatbot Development with NLP.
- Introduction to Big Data Technologies (Hadoop, Spark)
- Cloud Data Platforms (AWS, Google BigQuery, Azure)
- Streaming Data Processing.
- Two – Real time Industry Projects
- Resume Building & Portfolio Development
- Data Analytics Case Studies & Best Practices
- Mock Interviews & Placement Assistance
Hands-On Projects to Strengthen Your Portfolio
CI/CD Pipeline Automation for Enterprise Applications
Tools Used: Jenkins, Docker, Git, Kubernetes
Containerized Storage Management System
Tools Used: Docker, Kubernetes, AWS EBS
Kubernetes Cluster Monitoring and Server Management
Tools Used: Kubernetes, Prometheus, Grafana
Infrastructure as Code (IaC) Automation Project
Tools Used: Terraform, AWS, Ansible
Enterprise Log Management and Storage Analytics Platform
Tools Used: ELK Stack, Docker, Linux
Automated Docker Container Deployment System
Tools Used: Docker, Jenkins, GitHub
Cloud-Based Application Scaling and Load Balancing Solution
Tools Used: AWS ELB, Auto Scaling, Kubernetes
Centralized Server Configuration Management using Ansible
Tools Used: Ansible, Linux, AWS EC2
DevSecOps Security Monitoring and Vulnerability Scanning Platform
Tools Used: Jenkins, SonarQube, Docker, OWASP
Enterprise Backup, Recovery, and Storage Optimization System
Tools Used: AWS Backup, S3, Linux, Terraform
Trainer profile
Kiran Babu
Data Scientist with 10 years of experience in analytics, modeling, and AI solutions.
Arun
Senior Data Scientist with 13 years of expertise in machine learning and big data.
Karthik
Data Science professional with 10 years of hands-on experience in predictive modeling.
Anu
Experienced Data Scientist with 11 years in data analysis, visualization, and ML projects.
Priya
Data Scientist with 8 years of practical experience in statistical modeling and AI implementation.
Course batch schedule
| Date | Course | Batch | Timings |
|---|---|---|---|
| 18 May | Python | New Batch | 8 AM - 9 AM |
| 18 May | SQL | New Batch | 6 PM - 7 PM |
| 21 May | Excel | New Batch | 9 AM - 10 AM |
| 21 May | Power BI | New Batch | 2 PM - 3 PM |
| 23 May | AWS | New Batch | 5 PM - 6 PM |
| 23 May | Frontend | New Batch | 10 AM - 11 AM |
| 27 May | Linux | New Batch | 4 PM - 5 PM |
| 30 May | Data Science | New Batch | 8 AM - 9 AM |
| 30 May | Machine Learning | New Batch | 5 PM - 6 PM |
| 03 Jun | AI | New Batch | 8 AM - 9 AM |
Get Certified & Prove Your Industry Readiness
Students Placements
Azure DevOps Fee and Duration
Classroom Sessions
35,000/- Offer price
- Fees payable in up to 3 installments
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Students Review
Frequently Asked Questions (FAQ)
Yes! Our Azure DevOps course Bangalore starts from fundamentals
and is designed for both freshers and IT professionals looking
to upskill in cloud and DevOps technologies.
Our Azure DevOps course Bangalore covers Azure Portal,
Azure Pipelines, Kubernetes (AKS), Terraform, ARM Templates,
Docker, Azure Monitor and Azure Security Center.
After completing the course and gaining enough practice, you can apply for roles such as Azure DevOps Engineer, Junior DevOps Engineer, Cloud DevOps Associate, Release Engineer, Build Engineer, DevOps Support Associate, and Azure Cloud Associate.
Yes. Bangalore has a strong IT, cloud, SaaS, and product development ecosystem. Many companies use DevOps tools and cloud platforms to automate software delivery, making Azure DevOps a valuable career skill.