AWS Data Engineer Job Oriented Program at Prepzee Overview
Duration | 100 hours |
Start from | Start Now |
Total fee | ₹48,499 |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Future job roles | Data Engineer , Data Architect |
- Overview
- Highlights
- Course Details
- Curriculum
- Admission Process
AWS Data Engineer Job Oriented Program at Prepzee Highlights
- Earn a certificate after completion of the course
- 8+ projects & case studies
- Lifetime live training access
- 24*7 technical support
- Placement assistance available
- No cost EMI option available
AWS Data Engineer Job Oriented Program at Prepzee Course details
For an IT Professional who is looking for a career in Data Engineering especially dealing with Cloud-based solutions
Students who are looking to switch domains into the Future Proof Data Industry without going into Statistics and coding may start in Data Engineering
DBA, with experience in database management and SQL, and can transition into data engineering roles with ease
Data Analyst/ Scientist who wants to work with data at a larger scale and manage data pipelines that may transition into data engineering
Data Transformation
Data Orchestration
Data Ingestion
Data Pipelines
This comprehensive program is meticulously crafted to empower you with the skills and expertise needed to excel in the dynamic world of data engineering
Learn Data Engineering with Prepzee, throughout the program, you’ll explore a wide array of essential tools and technologies, including industry favorites like PySpark, Kafka and Airflow
AWS Data Engineer Job Oriented Program at Prepzee Curriculum
Module 1: Python for Data Engineering
Python Fundamentals
Setting up Python Virtual Environment
Implementing Conditional Statements
Working with Loops
Exploring Numeric Data Types(Numbers)
Understanding Tuples and Their Operations
Understanding Functions in Python
Working with OOP Concepts
Work with Packages
Json Data Handling
CSV file handling
Exception Handling in Python
Module 2: Data Engineering Essentials
Understanding Structured, Unstructured, and Semi-Structured
Properties of Data: Volume, Velocity, and Variety
Comparing Data Warehouses and Data Lakes
Managing and Orchestrating ETL Pipelines for Data Processing
Data Modeling, Data Lineage, and Schema Evolution
Optimizing Database Performance
Module 3: AWS Cloud Computing Fundamentals
Cloud Computing Introduction
Understand IAAS, PAAS, SAAS
AWS Account Setup & Configuration
Understanding AWS Regions & Availability Zones
Module 4: Compute & Storage ( AWS EC2 & EBS )
Introduction to Amazon Elastic Compute Cloud (EC2)
Benefits of EC2
EC2 Instance Types
Public IP vs. Elastic IP
Introduction to Amazon Machine Image (AMI)
Hardware Tenancy – Shared vs. Dedicated
Introduction to EBS
EBS Volume Types and Snapshots
??Module 5: Networking ( AWS VPC )
Introduction to Amazon VPC
Components of VPC: Route Tables, NAT, Network Interfaces, Internet Gateway
Benefits of VPC
IP Addresses
Network Address Translation: NAT Gateway, NAT Devices, and NAT Instance
VPC Peering with Scenarios
VPC: Types, Pricing, Endpoints, Design Patterns
Module 6: Identity & Security Management (IAM)
Introduction to Identity Access Management (IAM)
IAM: Policies, Roles, Permissions, Pricing, and Identity Federation
IAM: Groups, Users, Features
Introduction to Resource Access Manager (RAM)
Module 7: Datalake, Datalakehouse with S3
Introduction to Amazon S3
Creating & Managing Buckets
Uploading, downloading, and deleting files
Folder structure for raw, processed, curated zones
Best practices for naming and organizing data lakes
Handling large files with multipart upload
S3 Integration with Data Engineering Services
Storage Class & Lifecycle policies
Architectural Patterns using S3
AWS Data Engineer Job Oriented Program at Prepzee Admission Process
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AWS Data Engineer Job Oriented Program at Prepzee Contact Information
S-24,Second Floor, Alankar Plaza, Central Spine, New Vidhyadhar Nagar, Rajasthan/ Jaipur
Jaipur ( Rajasthan)