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

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?

â—Ź Data Engineers automating pipelines and integrating AI
â—Ź Analytics Engineers working with dbt, Airflow
â—Ź Data Analysts seeking task automation
â—Ź Data Scientists focusing on MLOps
â—Ź 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

Be Among the First to
Master Agentic AI in Data Engineering