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
 
For more info, call us : (847)350-9034