Cloud Computing Course in Bangalore
Looking for a practical and career-focused cloud computing course in bangalore? Fast Learning Technologies offers a structured Cloud Computing training program designed for students
Online/Offline
Mode
3 - 4 Months
Duration
5+Live
Real time projects
Industry Recognized
Certification
About cloud engineer course
Looking for a practical and career-focused cloud computing course in bangalore? Fast Learning Technologies offers a structured Cloud Computing training program designed for students, fresh graduates, working professionals, IT support executives, system administrators, developers, testers, and career switchers who want to build strong skills in cloud platforms, infrastructure, networking, servers, storage, security, deployment, and cloud-based project work.
Bangalore is one of India’s top technology hubs, with IT companies, startups, product-based companies, cloud service providers, fintech firms, SaaS companies, and global tech offices. Many businesses are moving from traditional servers to cloud platforms because cloud computing helps them reduce infrastructure costs, improve scalability, support remote access, and manage applications more efficiently.
At Fast Learning Technologies, our Cloud Computing Course in Bangalore helps learners understand cloud fundamentals, AWS concepts, Azure basics, Linux, networking, virtualization, storage, cloud security, deployment, monitoring, and real-time cloud projects. The course is designed in a simple and practical way so beginners can learn step by step and build job-ready cloud skills.
Whether you are starting your IT career or planning to upgrade your current skills, this course helps you understand how cloud technology is used in real companies.
What Makes Fast Learning Technologies a Trusted Choice?
Fast Learning Technologies focuses on practical learning, clear explanations, and career-ready training. Cloud computing can look difficult in the beginning because it includes many terms such as servers, virtual machines, storage, networking, databases, IAM, cloud security, load balancing, deployment, and monitoring.
Our training makes these concepts easy to understand. We start from the basics and slowly move toward real cloud platform usage, cloud services, infrastructure setup, and project-based learning.
The goal is not only to explain cloud definitions. The goal is to help students understand how companies use cloud platforms to host applications, store data, manage users, secure systems, and scale services.
A cloud professional should understand infrastructure, security, networking, automation basics, deployment, and service management. Fast Learning Technologies trains students with this practical and professional approach.
What Makes Our Cloud Computing Course Different?
Our cloud computing training focuses on:
- Beginner-friendly cloud fundamentals
- Practical AWS and Azure concepts
- Linux and networking foundation
- Cloud storage and database basics
- Virtual machines and server deployment
- Cloud security and access management
- Real-time project-based learning
- Resume and interview preparation
- Career guidance for 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
Enterprise Server Monitoring and Auto-Healing System
Tools Used: AWS EC2, CloudWatch, Linux, Python
Cloud-Based Load Balancer and Auto-Scaling Architecture
Tools Used: AWS ELB, Auto Scaling, Terraform, EC2
Secure Linux Server Administration and Backup System
Tools Used: Linux, Shell Scripting, AWS S3
Multi-Region Disaster Recovery and Server Failover Solution
Tools Used: AWS Route 53, EC2, S3 Glacier
Virtual Private Cloud (VPC) Network Design and Server Deployment
Tools Used: AWS VPC, IAM, EC2
Cloud Storage Management and Data Backup Automation
Tools Used: AWS S3, Lambda, Python
High Availability Web Server Cluster Deployment
Tools Used: Nginx, AWS EC2, Load Balancer
AWS EC2 Infrastructure Automation using Terraform
Tools Used: Terraform, AWS EC2, Linux
Hybrid Cloud Server Migration and Optimization Platform
Tools Used: VMware, AWS, Linux, Python
Real-Time Cloud Resource Utilization Analytics Dashboard
Tools Used: CloudWatch, Power BI, AWS Lambda
Trainer profile
Nihil Kumar
Cloud Engineer, 10 years experience: Skilled in cloud infrastructure management, deployment, and system optimization.
Abdul
Cloud Engineer, 8 years experience: Experienced in cloud server maintenance, monitoring, and technical support.
Deepika
Cloud Engineer, 10 years experience: Expert in cloud solutions, automation, and secure infrastructure planning.
Sumathi
Cloud Engineer, 9 years experience: Strong experience in cloud operations, troubleshooting, and service reliability.
Suriya
Cloud Engineer, 8 years experience: Proficient in cloud platform support, deployment, and performance management.
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
cloud engineer course Fee and Duration
Classroom Sessions
30,000/- 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 offers a practical cloud computing course in Bangalore for students, freshers, and working professionals. The course covers cloud fundamentals, AWS, Azure basics, Linux, networking, security, deployment, real-time projects, resume guidance, and interview preparation.
Yes. Beginners can join this course. The training starts with basic cloud computing concepts and gradually moves into AWS, Azure basics, Linux, networking, cloud security, and project practice.
After completing the course and gaining enough practice, you can apply for roles such as Cloud Support Associate, Cloud Engineer Trainee, AWS Cloud Associate, Cloud Administrator, Infrastructure Support Engineer, and Cloud Operations Associate.
Yes. Bangalore has a strong IT, startup, SaaS, cloud, and product development ecosystem. Many companies need cloud professionals to manage infrastructure, deployment, security, storage, and cloud operations.