Mastering Advanced RAG

8 Weeks from POC to Production

Early bird registration is now open! Register now to save big on course fees. Learn advanced RAG techniques, agentic patterns, and production deployment strategies from industry experts.

Starts January 2026 • Sundays 10:30 AM EST (7:30 AM PST)

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Free Exclusive Guest Speaker Sessions

Join us FREE every Saturday morning for insights from industry-leading AI experts

Featuring: Indrajit Kar

Head of Advanced AI and Strategic Innovation

Seasoned AI thought leader driving AI-led products and platform development

Featuring: Indrajit Kar

Head of Advanced AI and Strategic Innovation

Seasoned AI thought leader driving AI-led products and platform development

100% Free • Open to Everyone • No Course Enrollment Required

Why Advanced RAG?

Comprehensive training designed for ML engineers and developers who want to master production-ready RAG systems.

Comprehensive Curriculum

8 weeks of in-depth content covering everything from basics to advanced agentic patterns.

Hands-On Practice

Real-world projects and implementations you can apply immediately in production.

Expert Instructors

Learn from practitioners who have built and deployed RAG systems at scale.

Production Ready

Focus on MLOps, observability, and deployment strategies for real-world applications.

Course Overview

A comprehensive 8-week journey through advanced RAG techniques and production deployment.

Foundational RAG Architecture & Baselines

•The Naive RAG Baseline

Context Aggregation & Chunking Strategies

•Chunking & Embedding
•Multimodal Embedding Models
•Advanced chunking

Improving-Recall Retrieval: Hybrid Search

•Dense & Sparse Indexing
•Implementing Hybrid Search (e.g., combining BM25/SPLADE with vector search)

Enhancing Precision: Re-ranking

•Cross-Encoder Optimization
•Re-ranker
•Implementing and fine-tuning Cross-Encoder models
•Metadata filters

Adding Evals & Proactive Guardrails

•Offline & Online
•Holistic Framework
•Faithfulness, Context Recall, and Answer Relevancy
•PII/Toxicity Guardrails and adversarial prompt testing

MLOps: Deploying, Finetuning Performance, Latency & Cost

•Caching, Semantic Caching and query caching
•Managing latency and inference costs: Model selection

Complex Reasoning & Agentic RAG

•Tool Use & Orchestration Patterns
•Implementing Tool Use for external data sources or code execution
•Advanced Agentic RAG patterns (e.g., self-reflection, planning, and dynamic function calling) for complex queries

Observability and A/B Testing

•MLOps for RAG
•Packaging and deploying the RAG service
•Setting up Observability (tracing and logging)
•A/B Testing, CI/CD for LLM applications

What You'll Master

Advanced Retrieval

Master hybrid search, re-ranking, and precision optimization techniques for better context retrieval.

Agentic Patterns

Implement complex reasoning with tool use, self-reflection, and dynamic function calling.

Production MLOps

Deploy with confidence using observability, A/B testing, and CI/CD for LLM applications.

Ready to Master Advanced RAG?

Join our comprehensive 8-week program and transform your RAG implementations from prototype to production.

Enroll Now - Save 50%