INTRODUCTION

Data powers every AI and analytics system, but only skilled engineers can build the pipelines that make it possible. The SAS Academy Data Engineering course is one of the best options for beginners and working professionals, designed to close the skills gap in ETL, cloud data platforms, and automation.

This online Data Engineering training and certification program provides practical, hands-on experience in scalable pipelines and workflow automation. Learners receive an official certificate and become eligible for global SAS certifications.

Delivered in a flexible weekend format, the program makes learners placement ready for roles such as Data Engineer, ETL Developer, and MLOps Engineer. It also builds the skills needed to support Generative AI, Agentic AI, and Prompt Engineering in modern enterprise environments.

WHY CHOOSE THE SAS ACADEMY DATA ENGINEERING COURSE

India’s demand for Data Engineer roles is expanding rapidly across banking, healthcare, and e-commerce. While many advertise generic data engineering courses, SAS Academy offers:

• The only official SAS Academy program in India
• Globally recognized SAS certification on SAS Viya
• Flexible weekend online training for beginners and working professionals
• Integrated GenAI, Agentic AI, and Prompt Engineering modules
• Emphasis on Responsible AI and ethical practices in pipeline design
• Hands-on learning with enterprise-grade SAS Viya

CAREER PATHWAYS

Completing this Data Engineering training program prepares you for roles such as:

• Data Engineer
• ETL Developer
• Cloud Data Specialist
• GenAI Workflow Developer
• Junior Data Architect
• MLOps Engineer

SKILLS AND OUTCOMES

• Strong foundations in ETL workflows, pipelines, and cloud integration
• Applied skills in automation, optimization, and data quality management
• Competence in building scalable workflows using SAS Studio Flows
• Awareness of Responsible AI, GenAI, Agentic AI, and Prompt Engineering in data engineering
• Globally recognized SAS Viya certification pathway trusted by employers
• Practical experience for roles in Data Engineering and MLOps

CURRICULUM

This 81.5 hours duration Data Engineering course from the SAS Academy provides enterprise-grade skills for professionals shaping the infrastructure behind AI and analytics. It is ideal for aspiring Data Engineer, backend developers, and automation specialists seeking hands-on training in data integration and pipeline management.

Delivered as structured weekend training with extended online access, this Generative AI, Agentic AI and Prompt Engineering integrated program emphasizes automation-ready pipelines, and cloud integration to prepare learners for high-demand roles.

Modules include:

• Reusable Programming with SAS Macro Language for Data Automation
• Performance Optimization for Data Pipelines
• No-Code Data Access and Transformation in SAS Studio
• Data Engineering with SAS Studio: ETL, Quality & Integration
• Low-Code Customization in SAS Studio for Dynamic Workflows
• Visual Analytics Dashboards for Data Exploration
• Exploring Generative AI, Agentic AI, and Prompt Engineering

CERTIFICATIONS AND CREDENTIALS

• SAS Digital Badges
• Track Completion Certificate from SAS Academy
• Eligibility for SAS Certified Associate: Programming Fundamentals Using SAS Viya
• Practical readiness for Data Engineering and automation-focused roles

LEARNING EXPERIENCE AND SUPPORT

• Live weekend online classes led by SAS-certified instructors
• 12-month eLearning access with additional labs and curated content
• Session recordings for flexible review
• Hands-on projects and labs on SAS Viya
• Official SAS courseware, assessments, and certification guidance
• Ongoing mentoring, doubt clearing, and career communities

TAKE THE NEXT STEP

Build your career with the SAS Academy’s Applied Data Engineering course. Gain trusted SAS certification, automation-ready pipeline skills, and hands-on training to power the next generation of AI and analytics. Reach out to us for details on syllabus, fees, schedule and more.

RECOMMENDED READING

• Data Engineer: The quiet hero behind every AI success
• Feeling Left Behind? These AI Skills Can Put You Back in the Game (SAS Hidden Insights)
• The Definitive Career Guide to Data Science, AI, and Analytics in the GenAI Era