Cloud Engineer Course Near Hebbal
Looking for a cloud engineer course near Hebbal that helps you build practical, job-ready skills? Fast Learning Technologies
Online/Offline
Mode
3 - 4 Months
Duration
5+Live
Real time projects
Industry Recognized
Certification
About cloud engineer course
Looking for a cloud engineer course near Hebbal that helps you build practical, job-ready skills? Fast Learning Technologies offers a professional cloud engineering training program designed for students, freshers, working professionals, and career changers who want to enter the fast-growing cloud computing industry. Our training focuses on real-world cloud concepts, hands-on labs, project-based learning, and career-focused guidance so you can confidently prepare for cloud engineer roles.
Hebbal is one of Bengaluru’s well-connected technology and education zones, with easy access from Manyata Tech Park, Nagavara, RT Nagar, Sahakar Nagar, Yelahanka, HBR Layout, Thanisandra, Kempapura, Jakkur, and surrounding areas. If you are searching for cloud training near Hebbal, our course is structured to help you understand cloud platforms, infrastructure, networking, security, automation, and deployment workflows in a simple and practical way.
At Fast Learning Technologies, we believe cloud engineering should be learned through practice, not just theory. That is why our training includes live demonstrations, cloud platform exercises, real-time scenarios, interview preparation, resume support, and guided projects. Whether your goal is to become a cloud engineer, cloud support associate, DevOps beginner, system administrator, or infrastructure engineer, this course can help you build the right foundation.
Why Choose Fast Learning Technologies for Cloud Engineer Training Near Hebbal ?
Practical Cloud Engineering Approach
Our cloud engineer course is designed around real use cases. You do not just learn definitions. You work with cloud consoles, understand server setups, configure services, manage resources, and practice common tasks handled by cloud engineers in real companies.
Simple Teaching for Beginners and Professionals
Cloud computing can feel complex at first, especially if you are new to infrastructure, servers, or networking. Our trainers explain every concept in simple professional language. Students from non-cloud backgrounds can also follow the course step by step.
Convenient Location for Hebbal and Nearby Areas
Our training is suitable for learners from Hebbal, Manyata Tech Park, Nagavara, RT Nagar, Sahakar Nagar, Yelahanka, Jakkur, HBR Layout, Thanisandra, Kempapura, Bhoopasandra, and surrounding Bengaluru locations. The course is ideal for both students and working professionals looking for accessible cloud training.
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 |
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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 engineer course near Hebbal for learners who want hands-on training in cloud computing, AWS, Azure, Linux, networking, security, and DevOps basics. The course is suitable for beginners, freshers, and working professionals.
Students, freshers, graduates, IT support professionals, system administrators, networking professionals, and anyone interested in cloud computing can join. Basic computer knowledge is useful, but the course starts with fundamentals.
Yes. Hebbal is close to Manyata Tech Park, Nagavara, Thanisandra, RT Nagar, Sahakar Nagar, and other Bengaluru business areas. Cloud engineering skills are useful for IT support, infrastructure, DevOps, and cloud operations roles in many companies.
You will learn cloud computing basics, AWS and Azure fundamentals, virtual machines, storage, networking, IAM, security, monitoring, Linux commands, DevOps basics, troubleshooting, real-time projects, resume preparation, and interview questions.