Master Gen AI-powered
data engineering in 5 weekends
Automate pipelines, generate code instantly, and build production-ready
RAGsystems that will 10x your productivity and make you indispensable in AI era
? Offline Classroom Training
? 4 Weekends
? Pimple Saudagar, Pune
Gen AI for Data Engineering
Generative AI for Data Engineering is a 30-hour hands-on program that empowers data professionals to integrate AI into every stage of the data lifecycle. Learn to build self-healing ETL pipelines, automate code generation, parse unstructured data, and deploy AI-powered solutions with real-world labs and a capstone project.
Who Is This Course For?
Data Engineers seeking AI-augmented pipelines
Analytics Engineers and Data Analysts
Data Scientists focusing on MLOps
Technical Leaders and Solution Architects
From Fundamentals to
Building Your Own AI Agent
Module 1
Foundations & Prompting
Module 2
Data Creation & Enhancement
Module 3
AI-Driven, Piplines
Module 4
Automation & modelling
Module 5
Quality & Operations
Module 6
Advanced Techniques & Capstone
Download Detailed Curriculum
Why This Course
45% hands-on labs with live code exercises
Real-world capstone showcasing end-to-end AI workflows
Immediate productivity gains—automate 70% of repetitive tasks
Covers multiple platforms: commercial and open-source LLMs
Production-ready MLOps, governance, compliance
Tools You Will Master
Delivery Methods
Offline Classroom
Training
Cloud-based lab environment with preconfigured APIs
Mini-projects, quizzes, and capstone review
Frequently Asked Questions
Who should join this course?
? Data Engineers automating pipelines and integrating AI
? Analytics Engineers working with dbt, Airflow
? Data Analysts seeking task automation
? Data Scientists focusing on MLOps
? Technical Leaders evaluating Gen AI strategies
What will I build?
10+ hands-on projects including:
Data augmentation app with API and frontend?
Self-healing ETL pipeline with automated recovery?
Text-to-SQL query interface?
RAG-powered data assistant with vector databases?
Real-time data enrichment service?
PDF/document extraction tool?
Automated code generator for data pipelines?
Capstone: End-to-end Gen AI solution integrating all skills?
What technologies will I learn?
AI Platforms: OpenAI GPT-4, Claude, Gemini, GitHub Copilot?
Frameworks: LangChain, LlamaIndex, Haystack?
Vector DBs: Pinecone, Weaviate, Qdrant?
Data Stack: Airflow, dbt, Spark, Kafka?
Cloud: AWS, Azure, GCP?
Dev Tools: Python, SQL, FastAPI, Streamlit, Jupyter?
What is the assessment process?
Continuous Assessment (70%):
Module quizzes (20%)
Lab exercises (30%)
Mid-course project (20%)
Final Capstone (30%):
Build end-to-end Gen AI solution?
Present to instructors and peers
70% overall score required for certificate
Is this suitable for working professionals?
Yes! Designed for working professionals:
Flexible Options:
Part-time: 3 sessions/week, evenings or weekends (2.5-3 hrs each)
Full-time: 5-day intensive bootcamp
Corporate: Custom scheduling
Professional-Friendly:
Immediately applicable skills?
Recorded sessions for missed classes
24/7 lab access?
8-10 hours/week commitment over 3-4 weeks
80% of participants complete while working full-time
? Data Engineers automating pipelines and integrating AI
? Analytics Engineers working with dbt, Airflow
? Data Analysts seeking task automation
? Data Scientists focusing on MLOps
? Technical Leaders evaluating Gen AI strategies
10+ hands-on projects including:
Data augmentation app with API and frontend?
Self-healing ETL pipeline with automated recovery?
Text-to-SQL query interface?
RAG-powered data assistant with vector databases?
Real-time data enrichment service?
PDF/document extraction tool?
Automated code generator for data pipelines?
Capstone: End-to-end Gen AI solution integrating all skills?
AI Platforms: OpenAI GPT-4, Claude, Gemini, GitHub Copilot?
Frameworks: LangChain, LlamaIndex, Haystack?
Vector DBs: Pinecone, Weaviate, Qdrant?
Data Stack: Airflow, dbt, Spark, Kafka?
Cloud: AWS, Azure, GCP?
Dev Tools: Python, SQL, FastAPI, Streamlit, Jupyter?
Continuous Assessment (70%):
Module quizzes (20%)
Lab exercises (30%)
Mid-course project (20%)
Final Capstone (30%):
Build end-to-end Gen AI solution?
Present to instructors and peers
70% overall score required for certificate
Yes! Designed for working professionals:
Flexible Options:
Part-time: 3 sessions/week, evenings or weekends (2.5-3 hrs each)
Full-time: 5-day intensive bootcamp
Corporate: Custom scheduling
Professional-Friendly:
Immediately applicable skills?
Recorded sessions for missed classes
24/7 lab access?
8-10 hours/week commitment over 3-4 weeks
80% of participants complete while working full-time