Data Engineering with Agentic AI Certified Course

Data Engineering with Agentic AI is a career-focused certified course designed to equip learners with modern data engineering and AI automation skills. The program combines Python, SQL, Apache Spark, PySpark, Databricks, ETL/ELT, Data Lakes, Data Warehouses, Cloud Data Engineering, Generative AI, LLMs, RAG, and Agentic AI. Learners will understand how to build scalable data pipelines and use intelligent AI agents to automate data ingestion, transformation, validation, monitoring, analysis, and troubleshooting. Through hands-on training, real-world industry projects, and practical implementation, participants develop the ability to create intelligent, cloud-ready data solutions and build job-ready expertise in Data Engineering and Agentic AI. Upon successful completion, learners receive a CourseDivine Certificate of Completion.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Data Engineering with Agentic AI:

• Data Engineer
• AI Data Engineer
• Big Data Engineer
• Cloud Data Engineer
• Data Pipeline Engineer
• ETL / ELT Developer
• Databricks Data Engineer
• PySpark Developer
• Analytics Engineer
• Data Platform Engineer
• Machine Learning Engineer
• AI Engineer
• Generative AI Engineer
• Agentic AI Engineer

Essential Skills You Will Develop –Data Engineering with Agentic AI:

• Python Programming
• Advanced SQL
• Apache Spark & PySpark
• ETL / ELT Pipeline Development
• Data Cleaning & Transformation
• Data Lake & Data Warehouse Development
• Databricks & Lakehouse Architecture
• Delta Lake
• Real-Time Data Processing
• Apache Kafka & Data Streaming
• Cloud Data Engineering
• Data Pipeline Automation
• Data Quality & Validation

Tools Covered:

• Python
• SQL
• Apache Spark
• PySpark
• Databricks
• Delta Lake
• Apache Kafka
• Apache Airflow
• dbt
• Azure Data Factory
• Azure Data Lake Storage
• AWS S3

Syllabus:

MODULE 1: DATA ENGINEERING FUNDAMENTALS

• Data Engineering Concepts & Architecture
• Data Lakes, Data Warehouses & Lakehouse
• Batch & Real-Time Data Processing

MODULE 2: PYTHON & SQL

• Python for Data Engineering
• Advanced SQL & Database Operations
• Data Manipulation & Transformation

MODULE 3: APACHE SPARK & PYSPARK

• Spark Architecture & DataFrames
• PySpark Transformations & Actions
• Spark Performance Optimization

MODULE 4: ETL / ELT PIPELINES

• ETL & ELT Architecture
• Data Ingestion & Processing
• Pipeline Automation & Scheduling

MODULE 5: DATABRICKS & DELTA LAKE

• Databricks Workspace & Compute
• Delta Lake & Lakehouse Architecture
• Databricks Jobs & Workflows

MODULE 6: REAL-TIME DATA ENGINEERING

• Apache Kafka Fundamentals
• Structured Streaming
• Real-Time Data Pipelines

MODULE 7: CLOUD DATA ENGINEERING

• Cloud Data Engineering Concepts
• Azure / AWS Data Services
• Cloud Storage & Data Pipeline Integration

MODULE 8: GENERATIVE AI FOR DATA ENGINEERING

• Generative AI & LLM Fundamentals
• Prompt Engineering
• AI-Assisted Data Analysis & Automation

MODULE 9: AGENTIC AI

• Agentic AI Architecture & Concepts
• AI Agents & Tool Calling
• Autonomous Multi-Step Workflows

MODULE 10: RAG & VECTOR SEARCH

• Retrieval-Augmented Generation (RAG)
• Embeddings & Vector Databases
• AI-Powered Data Retrieval Applications

Industry Projects:

• End-to-End ETL/ELT Data Pipeline
• Real-Time Data Streaming with Apache Kafka
• Databricks Lakehouse Implementation
• Cloud-Based Data Engineering Pipeline
• Customer Data Integration Platform
• Sales & Revenue Data Pipeline
• Automated Data Quality & Validation System
• AI-Powered Data Pipeline Monitoring
• Intelligent Data Cleaning Agent
• AI Agent for Pipeline Error Detection
• Agentic AI Data Analysis Assistant
• LLM-Powered SQL Query Assistant

Who is this program for?

• Aspiring Data Engineers
• Students & Fresh Graduates
• IT Professionals
• Software Developers
• Data Analysts
• Business Intelligence Professionals
• Cloud Professionals
• Database Developers & Administrators
• ETL / BI Developers
• Python & SQL Professionals
• Data Science Professionals