Build a Real Enterprise Multimodal PDF RAG Pipeline.
95% of freshers rely on basic text chunkers that break the moment a PDF contains complex tables, multi-column layouts, or charts. In this 2.5-hour hands-on masterclass, you will build a real Azure PDF ingestion & search pipeline, take home the complete runnable Python code, and learn the exact step-by-step strategy to land your first AI Engineer job.
Live Masterclass Pass + Full Code Repo + Career Strategy
Layout-Aware PDF Ingestion & Atomic Table Extraction
Why blind chunkers destroy financial statements, balance sheets, and multi-column reports. Discover how to preserve intricate structures using Azure AI Document Intelligence.
- Execute prebuilt-layout to extract GitHub-flavored Markdown.
- Preserve table cell boundaries and multi-column reading orders atomically.
- Isolate diagrams, flowcharts, and embedded figures automatically.
Multimodal Chart Summarization & Hybrid Azure AI Search
Solve the critical limitation of text-only search when data is locked inside diagrams. Build a hybrid search index combining GPT-4o Vision with lexical and vector retrieval.
- Generate contextual chart summaries via Azure OpenAI GPT-4o Vision.
- Create high-dimensional dense embeddings with text-embedding-3-large.
- Fuse BM25 keyword matching with dense HNSW vector search using RRF.
- Apply Azure L2 Semantic Rerankers to maximize answer relevance.
Production-Ready Python Codebase & Pipeline Walkthrough
Transition from messy Jupyter notebooks to a clean, modular Python repository built with production patterns, async execution, and error resilience.
- Inspect asynchronous document chunkers with section lineage prepending.
- Implement fault-tolerant ingestion loops with rate-limiting & retries.
- Ready-to-deploy index schemas configured for Azure AI Search clients.
How to Get Hired as an AI Engineer: Fresher Job Playbook
Direct, tactical guidance on turning this exact project into real job offers. Learn how to present yourself so engineering managers see you as an immediate hire.
- How to frame this project on your resume so it easily clears recruiter screening.
- How to talk through real design choices (chunking, hybrid search, rerankers) in interviews.
- The exact portfolio setup and GitHub presentation that proves you can build real software.
Fully documented, modular Python repository with async Azure Document Intelligence parser & vector search scripts.
Clean pipeline flowcharts and diagrams ready to embed into your personal portfolio website and interview presentations.
Step-by-step blueprint on showcasing this pipeline on your resume, reaching out to hiring managers, and clearing technical rounds.
Lifetime access to the complete session recording, presentation slides, and post-session community support.