Databricks End-End Gen AI Project Based Training - Batch 3
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GeekCoders · Pre-recorded · Batch 3

Databricks End-End Gen AI Project Based Training

"Empower your AI skills with hands-on Databricks training and build a groundbreaking end-to-end project from scratch in Batch 3!"

Releases 10 March 2026
Alumni placed at up to ₹50 LPA CTC
Pre-recorded + Hands-On
Self-paced
English
Taught by Sagar Prajapati
01 · Overview

About this cohort

🧠 GenAI 🏗 Databricks 📄 Resume Screening ⏱ 1 Month 🎥 Pre-recorded

Course description

This intensive, hands-on program teaches you how to design and build a complete end-to-end AI-powered Resume Screening System using Generative AI, LLMs, Vector Search, and the Databricks Lakehouse Platform.

You'll work on a real-world, production-grade use case using the Medallion Architecture (Bronze → Silver → Gold) — covering resume ingestion, LLM-based extraction, embeddings, semantic matching, scoring, and ranking.

The course concludes with building a Recruiter-facing Databricks App powered by Vector Search + RAG.

Key highlights

🚀

Build a production-ready GenAI Resume Screening System

🏗️

End-to-end Databricks Lakehouse implementation

🤖

Hands-on LLM use cases: parsing, embeddings, ranking & summaries

🔶

Real-world Medallion Architecture (Bronze → Silver → Gold)

🔍

Recruiter AI Assistant using Vector Search + RAG

🏢

Enterprise-focused, industry-ready project

Who this cohort is for

Data Engineers Data Scientists ML / AI Engineers Cloud Engineers Recruiters & HR Tech Innovators GenAI Enthusiasts

Join our learning community

Get course updates, connect with fellow learners, and ask questions directly to instructors.

Join WhatsApp Group
6,000+ Students Enrolled
500+ Success Stories
What you'll build

An AI-powered Resume Screening System

01

Resume PDF ingestion pipeline

02

LLM-based field extraction

03

Embeddings & Vector Search

04

Medallion: Bronze → Silver → Gold

05

JD ↔ Resume semantic matching

06

Candidate scoring & ranking

07

LLM-generated summaries

08

RAG over candidate pool

09

Recruiter-facing Databricks App

10

Production deployment & demo

02 · Curriculum

Course curriculum

A phase-by-phase build of the Resume Screening System — from Databricks setup to a production-grade Recruiter AI Assistant. Self-paced video modules with hands-on labs and full source code.

10 Modules
Full Source Code
1 Deployed App
01

Introduction & System Architecture

Phase 1 · Foundations
  • Recruitment pain points & why GenAI matters
  • End-to-end Resume Screening System architecture
  • Stack tour: Databricks, LLMs, Vector Search, Delta, UC
  • Data flow: PDF → Bronze → Silver → Gold → App
  • Repo structure & project scaffolding
02

Databricks Lakehouse & Unity Catalog Setup

Phase 1 · Foundations
  • Provisioning a Databricks workspace with UC
  • Creating catalogs, schemas & UC Volumes for resumes
  • Access control, service principals & secrets
  • Git integration with Databricks Repos
  • Compute configuration for LLM + Vector Search workloads
03

Resume Ingestion → Bronze Layer

Phase 2 · Ingestion & Extraction
  • Landing resume PDFs in UC Volumes
  • Auto Loader for incremental PDF ingestion
  • File metadata registry & deduplication
  • PDF parsing with PyMuPDF / pdfplumber
  • Bronze table design: raw documents & text
04

LLM-Powered Extraction → Silver Layer

Phase 2 · Ingestion & Extraction
  • Prompt engineering for resume field extraction
  • Structured JSON outputs: skills, experience, education
  • Calling foundation models via Databricks Model Serving
  • Parallelizing extraction with pandas UDFs
  • Schema enforcement & validation into Silver tables
05

Embeddings & Databricks Vector Search

Phase 2 · Ingestion & Extraction
  • Choosing an embedding model for resumes & JDs
  • Creating a Databricks Vector Search endpoint
  • Building Delta-synced vector indexes
  • Focused embedding strategy (skills vs. full text)
  • Hybrid semantic + keyword search queries
06

Medallion Architecture → Gold Layer

Phase 3 · Matching & Scoring
  • Medallion for unstructured + semi-structured data
  • Silver → Gold: curated candidate profiles
  • MERGE, schema evolution & upsert patterns
  • Change Data Feed for downstream apps
  • Data quality checks & governance via UC
07

JD ↔ Resume Semantic Matching

Phase 3 · Matching & Scoring
  • Ingesting & embedding job descriptions
  • Semantic similarity between JD and candidate pool
  • Skill-level matching with focused queries
  • Hybrid match: rules + semantic + LLM re-ranking
  • Tolerance bands & configurable weighting
08

Scoring, Ranking & LLM Summaries

Phase 3 · Matching & Scoring
  • Designing a composite match score (0–1)
  • Ranked candidate shortlist generation
  • LLM-generated candidate summaries & highlights
  • Explainability: why a candidate ranks where they do
09

Recruiter App with Vector Search + RAG

Phase 4 · App & Deployment
  • Databricks Apps — overview & scaffolding
  • Building a conversational Recruiter AI Assistant
  • RAG over the candidate pool with Vector Search
  • Chat UI: filtering, comparing, drilling into candidates
  • Prompt design & guardrails for recruiter workflows
10

Orchestration, Deployment & Final Demo

Phase 4 · App & Deployment
  • Databricks Workflows for the full pipeline
  • LLM cost & latency monitoring
  • Lineage & governance with Unity Catalog
  • CI/CD with Databricks Asset Bundles
  • Final demo: ship the Recruiter AI Assistant
03 · What's included

Everything you need to level up

01

Pre-recorded course

Learn at your own pace with high-quality pre-recorded lessons. Access anytime, pause, rewind, and rewatch — on any device.

02

Structured learning

A curriculum designed by industry experts to take you from first principles to production-grade competence.

03

Community & network

Join an exclusive cohort of ambitious engineers. Network, collaborate on projects, and build career-shaping connections.

04

Doubt solving

Stuck on a bug or concept? Post in the chat groups and get help from peers and instructors — fast.

05

Tests & quizzes

Reinforce what you learn with assessments, quizzes, and project-based evaluations you can track over time.

06

Verified certificate

Earn a shareable certificate on completion. Add it to your LinkedIn profile with a single click.

04 · Testimonials

What our students say

Real feedback from our previous batch learners.

6,000+ Students enrolled
500+ Success stories
Batch 3 Pre-recorded
Excellent course! The hands-on projects were game-changing for my career. Sagar breaks down complex GenAI and Databricks concepts in a way that just clicks — I walked out able to build real systems, not just toy demos.
SK
Sneha K. UI Designer
The mentors were always available. Best learning experience I've ever had — the video walkthroughs actually felt like pair programming.
AM
Arjun M. Backend Developer
Very well structured. Self-paced meant I could fit it around work — and the way concepts were sequenced made it easy to catch up whenever I stepped away.
DR
Divya R. Data Scientist
Community support was incredible. Made great connections along with learning — the WhatsApp group alone is worth joining.
NP
Nikhil P. ML Engineer
Got placed at a top startup within 2 weeks of completing the course! The project I built was the showstopper in every interview.
MJ
Meera J. Frontend Developer
Batch 2 · Outcomes

Previous batch success stories

Hear from our Batch 2 learners who transformed their careers after completing the cohort.

AK
Batch 2
★★★★★

The video walkthroughs were incredibly engaging. The instructors broke down complex topics so well — I went from zero to confident in just 8 weeks. Got promoted within a month of completing the course!

Promoted to Senior Engineer
RS
Batch 2
★★★★★

Best investment I've made in my career. The community support and mentor access made all the difference. Landed a new role at a top MNC right after completing the course.

Switched to top MNC · 60% salary hike
PM
Batch 2
★★★★☆

The structured curriculum kept me on track. Practice tests and real projects made learning practical, not just theoretical. I now lead a team of 5 and apply these skills daily.

Leading a product team of 5
VT
Batch 2
★★★★★

Loved the doubt-clearing sessions. The instructors were always available and the peer community was super helpful. Built my portfolio project during the course itself.

Freelancing with 3 international clients
05 · FAQ

Frequently asked questions

Quick answers to common questions. Can't find what you need? Drop us a note — we'll reply within 24 hours.

Ask a question
When does Batch 3 release and what's the format?

Batch 3 releases on 10 March 2026 (tentative) and contains approximately 1 month worth of content. All modules are pre-recorded and fully self-paced — you can start the moment content drops and learn on your own schedule. There are no fixed class timings or live sessions to attend.

How long do I have access to the content?

You get lifetime access to all videos, code, and materials. Revisit anything, anytime — including any future updates to the batch content. The full Resume Screening System project is yours to build, break, and rebuild at your own pace.

What prerequisites do I need?

Basic comfort with Python, PySpark, and Databricks is recommended. LLM and Vector Search experience is not required — we teach prompt engineering, embeddings, and RAG from first principles. If you're brand new to Databricks, we suggest pairing this with our Databricks Zero to Hero course.

Do I need my own Databricks workspace?

A workspace with Unity Catalog is recommended so you can follow along hands-on. A Databricks Free Edition or a free Azure/AWS trial works for most modules. We walk you through the full setup in Module 2.

How do I access the WhatsApp community?

After enrollment, you'll get a direct WhatsApp group invite. The group is active daily — you can ask questions, share progress, and connect with 6,000+ learners and alumni.

Can I use the project for my portfolio or interviews?

Absolutely — we encourage it. You'll walk away with a full codebase, architecture diagrams, and a deployed Recruiter AI Assistant you can demo. We also cover how to talk about the architecture in interviews, and share a one-page project summary template you can adapt for your resume and LinkedIn.

Is there a certificate of completion?

Yes. Once you complete all 10 modules and the final demo, you receive a verified GeekCoders certificate you can share on LinkedIn in one click.

What's the refund policy?

7-day no-questions-asked refund window from the date of purchase. See our refund policy for full terms.

$150

$200

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