DevOps Course with Placement Bangalore

Looking for a practical and career-focused devops course with placement bangalore? Fast Learning Technologies offers a structured DevOps training program designed for students

Online/Offline

Mode

3 - 4 Months

Duration

5+Live

Real time projects

Industry Recognized

Certification

About DevOps Institute Courses

Looking for a practical and career-focused devops course with placement bangalore? Fast Learning Technologies offers a structured DevOps training program designed for students, fresh graduates, working professionals, system administrators, software developers, cloud learners, and career switchers who want to build strong skills in automation, CI/CD, cloud deployment, containerization, monitoring, and modern software delivery.

Bangalore is one of India’s biggest IT and startup hubs. Many companies in the city are moving toward faster software development, cloud-based infrastructure, automated deployment, and agile delivery. Because of this, DevOps skills are highly valuable for IT teams that want to build, test, release, and manage applications more efficiently.

At Fast Learning Technologies, our DevOps course helps learners understand the complete DevOps workflow in a simple and practical way. Students learn Linux, Git, GitHub, Jenkins, Docker, Kubernetes, AWS basics, CI/CD pipelines, infrastructure automation, monitoring concepts, and real-time project implementation.

Whether you are a beginner or already working in IT, this course is designed to help you learn DevOps step by step and prepare for job opportunities with confidence.

Python Training

What Makes Fast Learning Technologies a Trusted Choice?

data analyst course near manyata tech park

Fast Learning Technologies focuses on hands-on learning, clear explanation, and placement-oriented training. DevOps can feel confusing in the beginning because it includes many tools, processes, and workflows. Some learners do not know where to start. Some feel cloud tools are difficult. Some professionals know development or operations but do not understand how automation connects everything.

Our DevOps course is designed to simplify this journey. We start with the basics of software delivery and gradually move into Linux commands, version control, build automation, CI/CD, containers, orchestration, cloud deployment, and project practice.

The goal is not only to teach tools separately. The goal is to help students understand how DevOps works as a complete process in real companies.

A DevOps engineer should understand collaboration, automation, continuous integration, continuous delivery, monitoring, and infrastructure reliability. Fast Learning Technologies trains students with this practical and industry-focused approach.

What Makes Our DevOps Course Different?

Our DevOps training focuses on:

  • Beginner-friendly DevOps concepts
  • Practical Linux and Git training
  • Jenkins-based CI/CD pipeline practice
  • Docker containerization training
  • Kubernetes orchestration basics
  • AWS cloud deployment concepts
  • Real-time project-based learning
  • Resume and interview preparation
  • Placement-oriented career support
  • Bangalore-focused job market guidance

Our Alumni's Are Placed At

Course Curriculum

Module 1: Introduction to Data Science & Analytics
  • 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.).
Module 2: Mathematics & Statistics for Data Science
  • Linear Algebra Essentials
  • Probability & Distributions
  • Descriptive & Inferential Statistics
  • Hypothesis Testing & Confidence Intervals
  • Correlation & Regression Analysis
  • Time Series Analysis Basics.
Module 3: Python for Data Science
  • 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.
Module 4: SQL & Database Management
  • 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).
Module 5: Data Analysis & Visualization

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
Module 6: Machine Learning (ML)
  • 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
Module 7: Deep Learning & Neural Networks
  • 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.
Module 8: Natural Language Processing (NLP)
  • Text Processing & Tokenization
  • Sentiment Analysis & Text Classification
  • Named Entity Recognition (NER)
  • Chatbot Development with NLP.
Module 9: Big Data & Cloud Computing
  • Introduction to Big Data Technologies (Hadoop, Spark)
  • Cloud Data Platforms (AWS, Google BigQuery, Azure)
  • Streaming Data Processing.
Final Projects
  • 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 Name Batch Type October Timings November Timings
02 Oct Python New Batch 8 AM - 9 AM 8 AM - 9 AM
02 Oct SQL New Batch 6 PM - 7 PM 6 PM - 7 PM
03 Oct Excel New Batch 9 AM - 10 AM 9 AM - 10 AM
03 Oct Power BI New Batch 2 PM - 3 PM 2 PM - 3 PM
04 Oct AWS New Batch 5 PM - 6 PM 5 PM - 6 PM
04 Oct Frontend New Batch 10 AM - 11 AM 10 AM - 11 AM
07 Oct Linux New Batch 4 PM - 5 PM 4 PM - 5 PM
08 Oct Data Science New Batch 8 AM - 9 AM 8 AM - 9 AM
08 Oct Machine Learning New Batch 5 PM - 6 PM 5 PM - 6 PM
09 Oct Java Full Stack New Batch 9 AM - 11 AM 9 AM - 11 AM
10 Oct Web Development New Batch 12 PM - 2 PM 12 PM - 2 PM
11 Oct Digital Marketing New Batch 3 PM - 4 PM 3 PM - 4 PM
October November
16 Oct Graphic Design New Batch 6 PM - 7 PM 6 PM - 7 PM
17 Oct Cloud Computing (Azure) New Batch 9 AM - 10 AM 9 AM - 10 AM
18 Oct Cyber Security New Batch 1 PM - 2 PM 1 PM - 2 PM
21 Oct React JS New Batch 4 PM - 5 PM 4 PM - 5 PM
22 Oct UI/UX Design New Batch 7 PM - 8 PM 7 PM - 8 PM
23 Oct Python with Data Analysis New Batch 10 AM - 11 AM 10 AM - 11 AM

Get Certified & Prove Your Industry Readiness

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.

200+

Placed

Rs. 4.5 LPA

Average Salary

50+

Companies

100%

Guaranteed interviews

Students Placements

Placement training in Bangalore
data Science course with placement bangalore
Placement training in Bangalore
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Santhosh bavan profile picture
Santhosh bavan
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I was looking for a training institute that provides both course training and internship opportunities, and Fast Learning Technologies was the right choice. The trainers are knowledgeable and supportive. The hands-on training, real-time projects, internship experience, and placement assistance helped me improve my skills and confidence. Highly recommended for anyone looking to start a career in IT.
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Ranjith Velu profile picture
Ranjith Velu
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
I was searching for a Data Analytics course and found Fast Learning Technologies. One of the best institutes for learning with hands-on training. They also provide internship opportunities. I completed my Data Analytics internship here and gained practical experience through real-time projects. The trainers are supportive and the learning environment is excellent. Highly recommended for anyone looking to start a career in Data Analytics.
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karthikeyan karthikeyan profile picture
karthikeyan karthikeyan
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One of the best institutes for learning Python with hands-on training. They also provide Python internship opportunities, which helped me gain practical experience and improve my skills. The trainers are supportive, and the training includes real-time practice. Highly recommended for students and job seekers looking to build a career in Python.
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muni raj profile picture
muni raj
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Cloud and DevOps course is very informative and practical. Trainers provide hands-on training with real-time scenarios. The HR team support is good for placements. Best IT training in Nagawara.
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Vijay Babu profile picture
Vijay Babu
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
Currently learning Data Science, the trainers are knowledgeable, approachable. The class rooms are well arranged with enough chairs and boards also equipped with Big monitors for explanation. The management and staff are professional, kind and approachable also knowledge about the courses. The demo class with Kiran is honest with career councelling and opportunities also structure of the course. My overall experience far is amazing.
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Krishna Priya profile picture
Krishna Priya
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I joined Data Analytics training near Manyata Tech Park after a long career gap. Kiran sir motivated me and provided excellent hands on training. Real time projects helped me rebuild my confidence. Best data analytics training in bangalore manyata tech park.
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Abdul K profile picture
Abdul K
Google star 1Google star 2Google star 3Google star 4Google star 5Trustindex verifies that the original source of the review is Google.
Joined fot Data anlyst course. Demo classes were provided. The trainers are knowledgeable, The class rooms are equipped with advanced technology, Air conditioning (even if students visit for practice purpose). Staff is professional and well knowledgeable about courses and most importantly they are patient enough to listen and understand to us and well approachable.
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Krishna Veni profile picture
Krishna Veni
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HR team support is very good, they guided me during placement

DevOps Course Fee and Duration

Classroom Sessions

35,000/- Offer price

  • Fees payable in up to 3 installment​s
  • 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

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 (FAQ)

Fast Learning Technologies offers a practical DevOps course with placement support in Bangalore. The course covers Linux, Git, Jenkins, Docker, Kubernetes, AWS basics, CI/CD pipelines, real-time projects, resume guidance, and interview preparation.

Yes. Beginners can join this course. The training starts with basic DevOps concepts, Linux fundamentals, and Git before moving into Jenkins, Docker, Kubernetes, AWS, and project work.

The course covers important DevOps tools and concepts such as Linux, shell scripting, Git, GitHub, Jenkins, CI/CD pipelines, Docker, Kubernetes basics, AWS cloud basics, monitoring, logging, and real-time projects.

After completing the course and gaining enough practice, you can apply for roles such as Junior DevOps Engineer, DevOps Engineer, Build Engineer, Release Engineer, Cloud DevOps Associate, Automation Engineer, and SRE Trainee.

Yes. Bangalore has a strong IT, startup, cloud, and product development ecosystem. Many companies need DevOps professionals to manage automation, deployment, cloud infrastructure, containers, and CI/CD workflows.

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