Course Includes:
- Price: FREE
- Enrolled: 543 students
- Language: English
- Certificate: Yes
- Difficulty: Advanced
Coupon verified 08:50 AM (updated every 10 min)
Course Folder
What You'll Learn
- Design enterprise RAG architectures that balance retrieval quality
- grounding
- latency
- cost
- security
- governance
- and maintainability.,Build local ingestion pipelines for PDFs
- HTML
- Office files
- spreadsheets
- tables
- and scans with metadata
- versioning
- deduplication
- and lineage.,Apply fixed
- recursive
- structure-aware
- semantic
- hierarchical
- and parent-child chunking to improve retrieval and context quality.,Implement hybrid retrieval with keyword search
- dense embeddings
- metadata filters
- Reciprocal Rank Fusion
- and CPU-based re-ranking.,Improve retrieval with query rewriting
- multi-query generation
- decomposition
- HyDE
- intent checks
- and retrieval routing.,Build Self-RAG and Corrective RAG workflows with grading
- correction
- verification
- retry limits
- cost controls
- and abstention.,Create CPU-friendly GraphRAG pipelines with entities
- relationships
- resolution
- provenance
- graph traversal
- and multi-hop retrieval.,Build CPU-only retrieval for OCR
- layout-aware parsing
- tables
- figures
- page-level search
- modality routing
- and visual citations.,Evaluate RAG systems with golden datasets
- retrieval metrics
- grounding checks
- citation tests
- local judges
- and regression suites.,Prepare RAG systems for production with tracing
- caching
- cost estimation
- ACL-aware retrieval
- tenant isolation
- security
- CI/CD
- and deployment.
Requirements
- Intermediate Python programming experience is recommended.,Basic familiarity with large language models
- embeddings
- vector search
- and standard RAG workflows will be helpful.,Familiarity with REST APIs
- JSON
- Git
- command-line tools
- and basic Docker usage is recommended.,A computer capable of running Python and local Docker services is required; 16 GB of system memory is recommended.,No paid AI API
- cloud account
- managed database
- or dedicated GPU is required for the mandatory course demonstrations and Hands on Labs.
Description
This course contains the use of artificial intelligence.
Move beyond basic Retrieval-Augmented Generation demos and learn how to design, build, evaluate, secure, and operate production-ready enterprise RAG systems.
In this hands-on course, you will build an Enterprise Knowledge Intelligence Platform that evolves throughout the curriculum. You will begin with a baseline RAG application and progressively add advanced ingestion, chunking, retrieval, query enhancement, adaptive workflows, graph-based retrieval, multimodal document processing, evaluation, observability, security, and deployment capabilities.
You will learn how to process PDFs, HTML, Office documents, spreadsheets, tables, and scanned files. You will compare fixed, recursive, structure-aware, semantic, hierarchical, and parent-child chunking strategies while preserving metadata, document versions, permissions, and source lineage.
You will implement hybrid retrieval using keyword search, dense embeddings, metadata filters, Reciprocal Rank Fusion, and CPU-compatible cross-encoder re-ranking. You will improve retrieval relevance with query rewriting, multi-query generation, query decomposition, Hypothetical Document Embeddings, intent-preservation checks, and retrieval routing.
The course also covers Self-RAG and Corrective RAG patterns. You will build bounded workflows that grade retrieved evidence, correct failed retrieval, verify generated answers, enforce retry limits, and return grounded no-answer responses when reliable evidence is unavailable.
You will create a CPU-friendly GraphRAG pipeline for entity and relationship modeling, entity resolution, provenance, graph traversal, multi-hop retrieval, and hybrid graph-document search. You will also build a CPU-only multimodal retrieval workflow for OCR, layout-aware parsing, structured tables, figures, page-level search, and visual citations.
To prepare the application for production, you will create golden evaluation datasets and measure Recall@K, Precision@K, MRR, nDCG, grounding, faithfulness, citation quality, latency, and workload. You will add local tracing, caching, context optimization, cost estimation, ACL-aware retrieval, tenant isolation, prompt-injection defenses, deletion workflows, CI/CD quality gates, and containerized deployment.
All mandatory demonstrations and Hands on Labs run locally with open-source tools. No paid AI API, cloud account, managed database, or dedicated GPU is required.
This course is designed for AI engineers, machine learning engineers, software developers, data engineers, platform engineers, solutions architects, MLOps professionals, and technical leads who already understand basic RAG concepts and want to build reliable enterprise AI systems.
Who this course is for:
- AI engineers who want to design reliable
- measurable
- and secure enterprise RAG systems.,Machine learning engineers responsible for retrieval quality
- evaluation
- model routing
- observability
- and production performance.,Software and backend developers who have built a basic RAG application and want to move beyond simple vector-search demonstrations.,Data and platform engineers building document-ingestion
- indexing
- retrieval
- evaluation
- and deployment pipelines for generative AI applications.,Solutions architects and technical leads designing RAG platforms for regulated
- permission-sensitive
- multi-tenant
- or business-critical environments.,MLOps
- DevOps
- QA
- and security professionals responsible for evaluation gates
- monitoring
- authorization
- governance
- deployment
- and operational controls.,Technical practitioners seeking hands-on skills in hybrid search
- Self-RAG
- Corrective RAG
- GraphRAG
- multimodal retrieval
- and production readiness.
Recommended Courses
100 Projects to build Forward Deployed Engineers Portfolio
FREE
Real-world projects that teach you how to build, deploy, and integrate AI, data, and enterprise systems like an FDE.
Enrolled
100 Web Development Projects in 100 Days
FREE
Build 100 independent projects from beginner to advanced and master HTML, CSS, JavaScript, APIs, and full-stack skills.
Enrolled
100 Days of Python: From Beginner to AI Builder
FREE
Build 100 hands-on projects in automation, web development, data science, AI, APIs, GUIs, and full-stack Python.
Enrolled
Kimi K3 for Absolute Beginners
FREE
Learn Kimi K3 from scratch, even if you’re non‑technical, and start using AI to get real work done in minutes.
Enrolled
AI Engineer Associate Certificate Course
FREE
Master Machine Learning, Deep Learning & AI Agent Foundations with TensorFlow and PyTorch
Enrolled
AI Engineer Explorer Certificate Course
FREE
Build Your AI Foundation with Python, Data Science, Math & Machine Learning Basics
Enrolled
Machine Learning & Artificial Intelligence Beginners Course
FREE
Welcome to Your AI & Machine Learning Journey!
Enrolled
Cours de Certification Professionnelle en Ingénierie de l’IA
FREE
Maîtrisez le Deep Learning, les Transformers, le MLOps et le Développement d’Agents IA avec des Projets Concrets
EnrolledPrevious Courses
Quantum Physics to Quantum Computing Masterclass
FREE
A beginner-friendly, step-by-step path from the basics of quantum physics to advanced quantum computing
Enrolled
Viral Content Engine: Create Marketing People Want to Share
FREE
Master hooks, storytelling, trends, and repeatable content systems that stop the scroll and drive organic reach
Enrolled
AI-Powered Digital Marketing: Build Smarter Campaigns Faster
FREE
Use generative AI and intelligent automation to research, create, launch, personalize, and optimize marketing campaigns
Enrolled
SEO to AEO: Rank Across Google, YouTube, TikTok, & AI Search
FREE
Build an omnichannel search strategy for traditional search engines, social platforms, and AI-generated answers
Enrolled
Short-Form Video Marketing Masterclass for Brands & Creators
FREE
Plan, film, edit, publish, and scale engaging videos for TikTok, Instagram Reels, YouTube Shorts, and LinkedIn
Enrolled
Social Media Growth Hacks: Turn Posts Into Leads and Sales
FREE
Build engaged audiences, generate qualified leads, and convert social media attention into measurable business growth
Enrolled
Email Marketing That Converts: Write Campaigns People Open
FREE
Grow your list, improve open rates, write persuasive emails, and build automated campaigns
Enrolled
High-Converting Funnel Marketing: Turn Clicks Into Customers
FREE
Design landing pages, offers, nurture sequences, and conversion journeys that transform traffic into predictable income
Enrolled
Trendjacking 101: Turn Viral Moments Into Brand Growth
FREE
Discover trends early, create timely content, protect your brand, and join viral conversations without appearing forced
Enrolled