Hours: 16 hrs
Duration: 6 Weeks
 
The curriculum blends concise theory with hands-on labs, weekly quizzes, take-home assignments, and a graded capstone project. Tools and platforms covered include AWS (S3, Glue, Redshift, Lake Formation), Snowflake, Apache Kafka, dbt, Apache Airflow, Terraform, and modern observability stacks. Every week includes a live lab session in a sandboxed cloud environment so concepts are reinforced through building, not just reading.
 
Course Content:
Module 1: Foundations and data modeling
Module 2: Storage systems and data warehousing
Module 3: Data lakes and lakehouse architecture
Module 4: Streaming and real-time data pipelines
Module 5: Data governance, security, and quality
Module 6: Capstone project and architecture review
 
Each module includes project work, MCQ Quiz and a certificate 
 
Career Coaching Sessions:
Resume support, review, and guidance
LinkedIn profile review and suggestions
Interview tips and tricks
1 video interview and feedback session
Career coaching and clarification
Sample resumes templates
Job reference and background check support
 
Features:
Customized course content
Online and in-person live instructor classes
Class re-take option
Live streaming for the remote students
Video recording capability to catch up the missed class
Hands-on labs and projects
Mock certification tests
Real case studies for the real project experience
Professional instructors who bring real-life experiences in the classroom
Interview preparation support
Internship and staffing support
 
Questions? Call 847-350-9034.