Institute
Databricks Lakehouse AI Fundamentals
Understand the Databricks AI platform, Unity Catalog for feature and model management, and the ML lifecycle.
Databricks GenAI
Live Project + GitHub Repo
Mock Tests + Career Support
Classroom & Live Online
What is the Databricks Generative AI Engineer Course at AEM Institute?
This Databricks Generative AI Engineer course is designed to turn you into a production-ready GenAI engineer on the Databricks platform. Offered by AEM Institute, this is the best Databricks Generative AI training for professionals aiming to master Retrieval-Augmented Generation (RAG) training, LLMOps with MLflow, and Databricks Vector Search. This 30-hour program bundles three premium features: a live project where you build an LLM/RAG application and push it to a public GitHub repository for recruiter verification, a mock exam preparation test series that perfectly simulates the official Databricks Generative AI Engineer Associate exam, and comprehensive career support including personalized resume rewriting and 1-on-1 interview preparation.
Flexible Learning Modes: Attend our Physical Classroom Training at Baby Villa, 82 Kankulia Road, Ballygunge, Kolkata 700 029, or join the Live Online Instructor-Led Training (ILT) from anywhere. Both formats deliver identical perks: live interaction with certified AI data engineers, hands-on enterprise Databricks workspaces, and dedicated placement support for LLM engineer roles.
The curriculum is strictly aligned with the official Databricks Generative AI Engineer Associate exam blueprint.
Databricks Data Engineer vs Generative AI Engineer — Why Specialize in GenAI?
Understand how mastering Generative AI on Databricks sets you apart and how this course prepares you for high-paying LLM engineer roles
Databricks GenAI Engineer Course Curriculum
30-hour program covering Databricks Lakehouse AI, RAG, vector search, LLMOps, and a live project with mock tests and career support
Databricks Vector Search & Embeddings
Build and query vector databases, create embeddings, and integrate them into AI pipelines for semantic search.
Hugging Face & Model Serving
Integrate Hugging Face models into Databricks, serve LLMs behind endpoints, and manage model versions.
Who Should Enroll in This Databricks GenAI Engineer Course?
This course is designed for data and AI professionals who want to build, deploy, and manage Generative AI solutions on the Databricks platform
Data Engineers & ML Engineers
Professionals who want to transition from traditional data pipelines to building and deploying GenAI applications on Databricks.
AI Scientists & NLP Engineers
Experts looking to leverage the Databricks ecosystem for large-scale LLMOps, RAG, and model serving.
Cloud Architects & DevOps Engineers
Infrastructure professionals aiming to specialize in LLMOps and GenAI model deployment on the Databricks Lakehouse.
Databricks Data Engineer Certified Professionals
Those who hold the Databricks Data Engineer Associate certification and want to advance to the Generative AI specialization.
Prerequisite: Foundational Python programming and basic cloud concepts. Familiarity with Databricks or prior data engineering experience is a plus. Python for Data Science is a recommended foundation.
Why Choose AEM for Your Databricks GenAI Training?
We deliver a complete learning experience with a live project, mock tests, and career support to land top-paying Databricks AI jobs
Certified AI Data Engineer Trainers
Learn from instructors with 15+ years of real-world AI and Databricks experience. Available for both classroom and online batches.
Live LLM/RAG Project with GitHub Portfolio
Build a real Generative AI application (RAG) on Databricks, then push the complete codebase to a public GitHub repository — a powerful portfolio piece verified by recruiters and hiring managers.
Mock Exam Test Series Included
Prepare with confidence using a mock exam series that perfectly simulates the official Databricks Generative AI Engineer Associate certification, complete with detailed feedback.
Career Support: Resume Rewriting & Interview Prep
Receive personalized resume rewriting to highlight your GenAI project and 1-on-1 interview preparation sessions for Databricks AI engineer and LLM roles.
Program Details at a Glance
Everything you need to know about the Databricks Generative AI certification cost and structure
Generative AI Engineer Salary & Career Growth
How Databricks GenAI skills and a verified portfolio boost your earning potential and unlock top-tier LLM engineer roles
₹8–15 LPA
Entry-Level GenAI Engineer
Generative AI Engineer salary for early-career professionals with a solid Databricks portfolio.
₹15–30 LPA
3-6 Years Senior AI Engineer
Mid-level engineers deploying production LLM/RAG systems and managing LLMOps pipelines.
₹30–60 LPA
Lead AI Architect / MNC Roles
Unlock high-paying Databricks AI jobs in Kolkata and remote roles with global MNCs.
Frequently Asked Questions
Clear, conversational answers to help you make the best decision
How long is the Databricks Generative AI Engineer course?
The Databricks Generative AI Engineer training at AEM Institute is a 30-hour intensive program. It includes a live project (GitHub repo), a mock exam test series, and career support (resume and interview prep). You can join our weekend batches at the Ballygunge classroom or attend live online sessions.
What is the Databricks Generative AI certification cost?
The all-inclusive Generative AI training price at AEM Institute is INR 24,950. This covers RAG training, LLMOps with MLflow, Databricks Vector Search, the live project, mock tests, and career support. EMI options are available for the Databricks AI course fee.
What is the salary after completing this course?
A Generative AI Engineer salary typically starts at ₹8 LPA to ₹15 LPA for early-career professionals. Mid-level engineers with 3-6 years earn ₹15 LPA to ₹30 LPA, and lead roles in MNCs can reach ₹30 LPA to ₹60 LPA.
Can I take this Databricks GenAI course online while working?
Absolutely. Our Databricks GenAI Engineer certification course online is delivered via Live Instructor-Led sessions for working professionals. You attend live weekend classes, work on the Databricks labs remotely, build the GitHub project, and take the mock exams. Recordings are provided.
What are the prerequisites for this Databricks AI engineer course?
You should have foundational Python programming and basic cloud concepts. Databricks experience is helpful but not required. Python for Data Science is a recommended starting point.
Does AEM Institute provide placement support for this program?
Yes. This program includes comprehensive career support: personalized resume rewriting to highlight your LLM/RAG project, 1-on-1 interview preparation, and direct referrals for Databricks AI jobs in Kolkata and across India.
What topics are covered in the Databricks Generative AI syllabus?
The curriculum covers Retrieval-Augmented Generation (RAG) training, LLMOps with MLflow, Databricks Vector Search, MosaicML and Hugging Face integration, plus the live project, mock test series, and career support package.
Ready to Become a Databricks Generative AI Engineer?
Choose between our Physical Classroom batch in Ballygunge or the Live Online batch. Includes a live project, mock tests, and career support. Limited seats available.
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