DevOps Institute Near Manyata Tech Park
Looking for a DevOps institute near Manyata Tech Park to upgrade your IT skills and career? Fast Learning Technologies
Online/Offline
Mode
3 - 4 Months
Duration
5+Live
Real time projects
Industry Recognized
Certification
About DevOps Institute Courses
Looking for a DevOps institute near Manyata Tech Park to upgrade your IT skills and career? Fast Learning Technologies offers a comprehensive DevOps training program that equips students, freshers, and professionals with practical, industry-ready knowledge. Our course covers CI/CD, Docker, Kubernetes, configuration management, cloud services, monitoring tools, scripting, and DevOps pipelines. With hands-on labs, real-world projects, and expert guidance, learners gain the confidence to manage complete DevOps workflows from development to deployment.
Manyata Tech Park, along with surrounding areas like Hebbal, Nagavara, Thanisandra, HBR Layout, RT Nagar, Sahakar Nagar, Jakkur, Kempapura, and Yelahanka, is a prime IT hub. Professionals and students in these regions can access structured, career-focused DevOps training conveniently near their workplace or residence.
This DevOps institute near Manyata Tech Park emphasizes practical learning, helping learners understand automated build, deployment, and monitoring processes used in modern IT operations. The course also provides portfolio-ready projects and interview preparation so that you can secure roles such as DevOps Engineer, Cloud Engineer, or Site Reliability Engineer. By combining theoretical knowledge with applied skills, Fast Learning Technologies ensures learners are prepared for real-world IT environments and high-demand DevOps positions.
Why Choose Fast Learning Technologies for DevOps Training Near Manyata Tech Park?
1. Hands-On, Industry-Focused Training
Our course emphasizes practical exercises. Students implement CI/CD pipelines, containerize applications, deploy clusters, and monitor systems in a simulated real-world environment.
2. Beginner to Advanced Curriculum
We teach DevOps from the ground up. Beginners learn version control, shell scripting, and CI/CD concepts, while advanced modules cover cloud deployment, Kubernetes orchestration, and monitoring strategies.
3. Expert Trainers and Real-Time Guidance
Learn from industry professionals with DevOps experience. Trainers explain complex concepts in simple language and provide personalized guidance on projects, labs, and assignments.
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
DevOps Course 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)
Fast Learning Technologies provides practical, hands-on DevOps training covering CI/CD, Docker, Kubernetes, cloud, and monitoring tools.
Students, freshers, IT professionals, and career changers with basic computer knowledge can join. The course covers beginner to advanced topics step by step.
Yes. Manyata Tech Park, Hebbal, Nagavara, Thanisandra, HBR Layout, and surrounding areas have IT firms seeking DevOps engineers and cloud professionals.
You will learn Jenkins, Git, Docker, Kubernetes, AWS, Azure, Ansible, Terraform, Prometheus, Grafana, Bash, and Python scripting.
