AWS Course in Nagawara
Looking for a professional AWS course in Nagawara to boost your cloud computing career?
Online/Offline
Mode
1 - 2 Months
Duration
5+Live
Real time projects
Industry Recognized
Certification
About AWS Courses
Looking for a professional AWS course in Nagawara to boost your cloud computing career? Fast Learning Technologies offers a comprehensive AWS training program designed for students, freshers, and working professionals. Our course provides practical, industry-aligned learning with hands-on projects and certification support to help learners become skilled AWS professionals.
Nagawara, surrounded by Manyata Tech Park, Hebbal, Thanisandra, HBR Layout, Kalyan Nagar, Hennur, and RT Nagar, is a key hub for technology professionals in Bengaluru. Choosing an AWS course in this location allows learners to access high-quality cloud computing training conveniently while connecting to nearby IT companies and business centers.
Our AWS course covers cloud architecture, services like EC2, S3, Lambda, RDS, VPC, DevOps practices, real-time deployment projects, and certification preparation. Whether you are starting from scratch or upgrading your IT skills, Fast Learning Technologies ensures that you gain both theoretical knowledge and practical expertise.
Why Choose fast learning technologies?
1. Practical, Hands-On Learning
Our training focuses on real-world implementation using AWS services, practical exercises, and cloud deployment projects.
2. Experienced Trainers
Trainers are certified AWS experts with industry experience who provide guidance and clarify doubts effectively.
3. Convenient Nagawara Location
Our institute is easily accessible from Manyata Tech Park, Hebbal, Thanisandra, HBR Layout, Kalyan Nagar, and nearby Bengaluru areas, making it convenient for learners.
Our Alumni's Are Placed At
Course Curriculum
Hands-On Projects to Strengthen Your Portfolio
AI-Powered Customer Sentiment Analysis and Recommendation System (Domain: Retail & E-Commerce)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Build an intelligent system to analyze customer reviews, social media feedback, and purchasing behavior using NLP techniques. Predict customer satisfaction and recommend personalized products through interactive dashboards.
Predictive Healthcare Disease Diagnosis and Patient Risk Analysis (Domain: Healthcare)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Develop predictive models to identify disease risks based on patient history, symptoms, lab reports, and lifestyle data. Visualize patient health trends and improve treatment planning with data-driven insights.
Smart Banking Fraud Detection and Credit Risk Prediction System (Domain: Banking & Finance)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Analyze banking transactions, customer spending patterns, and loan history to detect fraudulent activities and predict credit risks using classification algorithms and real-time dashboards.
AI-Based Employee Attrition and Workforce Performance Prediction (Domain: Human Resources)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Build predictive analytics models to identify employee attrition risks, analyze performance metrics, salary patterns, attendance trends, and recruitment efficiency for HR decision-making.
Intelligent E-Commerce Product Recommendation and Sales Forecasting System (Domain: Retail & E-Commerce)
Tools Used: Python, Deep Learning, Power BI, SQL, Excel Create recommendation engines using customer purchase history and browsing behavior. Forecast future sales trends and product demand using time-series forecasting models.
Stock Market Prediction and Investment Analysis Platform (Domain: Finance & Trading)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Analyze historical stock prices, market indicators, and trading volume to predict stock trends and provide investment insights through advanced visual dashboards.
AI-Based Traffic Accident Prediction and Smart City Analytics (Domain: Transportation & Smart City)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Analyze traffic patterns, accident records, weather conditions, and road usage data to predict accident-prone zones and improve urban traffic management.
Social Media Trend Analysis and Fake News Detection System (Domain: Media & Communication)
Tools Used: Python, NLP, Power BI, SQL, Excel Use Natural Language Processing to analyze trending topics, user sentiments, and detect fake news content across social media platforms using classification models.
AI-Driven Student Performance and Learning Analytics System (Domain: Education)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Predict student performance based on attendance, assignments, exam scores, and learning behavior. Generate insights for personalized education strategies and academic improvement.
Smart Energy Consumption Forecasting and Optimization System (Domain: Energy & Utilities)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Analyze electricity consumption patterns, weather data, and smart meter readings to forecast energy demand and optimize power distribution efficiently.
Trainer profile
Sangamesh
AWS Cloud Engineer with 10 years of experience in cloud architecture and deployment.
Syed
AWS Specialist with 8 years of expertise in cloud services and infrastructure management.
Deiva
AWS professional with 10 years of hands-on experience in cloud solutions and automation.
Sumeeth
AWS Cloud Consultant with 9 years of practical experience in cloud computing and DevOps.
Naresh
AWS Engineer with 8 years of experience in cloud deployment, migration, and maintenance.
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
AWS Course Fee and Duration
Classroom Sessions
18,000/- 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 practical, industry-aligned AWS training near Manyata Tech Park, Hebbal, and HBR Layout.
Yes. The course starts with cloud fundamentals and gradually moves to advanced services and DevOps practices.
Yes. Live online classes with full trainer support are available for Nagawara and nearby areas.
Learners can become AWS Cloud Engineers, Cloud DevOps Engineers, Solutions Architects, AWS Developers, and Serverless Application Developers.