Empower Your Career: Master Data & AI at No Cost!

Master Data Science with Azure & AWS

This course provides a foundational understanding of the Data & AI landscape, covering key concepts, tools, and industry trends. You’ll start by exploring data fundamentals, including data types, ETL/ELT processes, and their significance in modern data pipelines. The session introduces major data engineering tools and technologies used by industry like Informatica, Databricks, and more. You’ll also get an overview of the Azure and AWS Data landscape, including data engineering, analytics, and AI services.  

Additionally, we’ll take a deep dive into few Azure and AWS Data Services, exploring their real-world use cases with demos. Finally, you’ll gain insights into industry trends, job roles, and salary expectations, helping you navigate career opportunities in Data & AI.

How this Course Supports your Career Journey through the Data & AI Job Assurance Program?

This session serves as a steppingstone to the Azure and AWS Data & AI Job Assurance Programs, helping you build a strong foundation in data concepts and Azure and AWS services. It introduces the key skills and technologies needed for high-demand job roles such as Data Engineer, Data Analyst, and AI Specialist. By understanding industry tools and trends, you’ll be better prepared for advanced learning and hands-on projects in the job assurance program, increasing your chances of securing AWS and Azure-based Data & AI roles. 

Key Highlights

• Understand data types, ETL vs. ELT, and their role in processing
• Explore leading data engineering tools like Informatica and Salesforce.
• Get an overview of key AWS and Azure data services for storage, processing, and analytics.
• Real world use cases and demos with AWS and Azure Services.
• Industry Trends & Careers – Discover job roles, skills, and salary insights in Data & AI.
• Career Readiness – Learn how this course supports the AWS and Azure Data & AI Job Assurance Programs.