Become a job-ready Data Engineer in 3-4 months
One structured, project-first program covering Python with DSA, SQL, PySpark, AWS, Data Modeling, RAG and Agentic AI — taught live, with real pipelines you actually build.
A month-by-month path from fundamentals to Agentic AI
Structured over 3-4 months, each month builds directly on the last — from core programming to a fully AI-augmented data pipeline.
Programming & Database Foundations
- Python fundamentals to advanced (OOP, file handling, error handling, modules)
- Data Structures & Algorithms for Data Engineers (arrays, hashmaps, trees, sorting, complexity)
- Git, GitHub & command line essentials
- SQL from fundamentals to advanced (joins, subqueries, window functions, CTEs, query optimization)
- Hands-on: Python automation scripts + SQL case studies
Built for people who want to actually build things
Not just theory — a program designed around hands-on practice, direct mentorship, and tools used in real data teams.
Project-First Learning
Every concept is tied to a real, hands-on project — you build a portfolio while you learn, not just watch slides.
Live Mentorship
Live sessions with direct doubt-solving, not pre-recorded videos left on their own. Learn with a real instructor guiding your pace.
Industry-Relevant Stack
Python, SQL, PySpark, AWS, Airflow, Kafka, Docker and the modern GenAI stack — the exact tools used in real data teams today.
From Basics to GenAI
Start from Python & DSA fundamentals and progress all the way to RAG systems and Agentic AI — a complete, structured path.
Small Cohort, Personal Attention
Focused batches so every student gets feedback on their code, their projects, and their progress.
Community & Support
Stay connected beyond class hours through a dedicated student community for peer learning and support.
Taught directly by the person behind DataAICraft
Nishad Gode
Founder, DataAICraft Academy
Building DataAICraft Academy to make Data Engineering practical and approachable — from Python and SQL fundamentals to distributed systems on AWS and modern GenAI-powered pipelines. Every session is live, hands-on, and focused on turning concepts into projects you can actually show.
Daily data engineering content on Instagram
Get free tips, concept breakdowns, and behind-the-scenes of the course on @dataaicraft_academy — follow to stay updated on new batches and drops.
Follow @dataaicraft_academyQuestions you might have
Anyone who wants to build a career in Data Engineering — college students, working professionals looking to switch domains, or developers who want to move into data. No prior data engineering experience is required.
Ready to start your Data Engineering journey?
Message us directly for batch dates, fees, and any questions — usually a reply within the day.