Length: 2 Days

Certified RAG Architect (C-RAGA) Certification Program by Tonex

Certified RAG Architect (C-RAGA)

Certified RAG Architect (C-RAGA) equips professionals to design, evaluate, and operate Retrieval-Augmented Generation systems at scale. The program covers retrieval design, vector databases, orchestration, evaluation science, and safety controls. You learn to balance latency, quality, and cost while keeping systems reliable. Content maps to enterprise constraints and production realities. We emphasize measurable outcomes, crisp interfaces, and repeatable patterns.

Cybersecurity impact is central. You will implement strong privacy, access control, and policy enforcement at every layer. You will apply defenses against prompt injection, data leakage, and model abuse. You will design auditability, incident readiness, and trust reporting.
Graduates can select the right indexes, craft robust pipelines, and set guardrails that matter. They can explain trade-offs to stakeholders and codify standards teams can adopt. We address evaluation methods tied to KPIs and user experience. We show how to operate RAG reliably in cloud and on-prem settings.

Learning Objectives:

  • Design robust retrieval pipelines for real workloads.
  • Choose and tune vector indexes and filters.
  • Orchestrate hybrid retrieval with reranking and caching.
  • Build continuous evaluation loops with clear KPIs.
  • Implement security, privacy, and policy guardrails.
  • Reduce hallucinations and harmful outputs.
  • Operate RAG systems with SLOs and cost control.

Audience:

  • ML/AI Engineers
  • Data and AI Architects
  • Application Developers
  • Product Managers
  • Cybersecurity Professionals
  • SRE/Platform Engineers
  • Solution Architects
  • Compliance and Risk Leaders

Program Modules:
Module 1: Retrieval Design Fundamentals

  • Problem framing and task decomposition
  • Query understanding and intent parsing
  • Corpus strategy and document lifecycle
  • Chunking, windowing, and semantic units
  • Hybrid retrieval patterns (BM25 + vector)
  • Latency, relevance, and cost trade-offs

Module 2: Vector Databases & Indexing

  • Embedding selection and dimensionality
  • ANN structures (HNSW, IVF, PQ)
  • Filtering, metadata schemas, and faceting
  • Index build, updates, and compaction
  • Sharding, replication, and consistency
  • Multi-tenant isolation and access control

Module 3: Orchestration & Generation

  • Prompt templating and orchestration flows
  • Tool routing and retrieval augmentation
  • Context packing, reranking, deduplication
  • Response streaming and cache design
  • Hallucination reduction techniques
  • Determinism vs. creativity controls

Module 4: Evaluation & Metrics

  • Groundedness and factuality checks
  • Offline versus online evaluation
  • Dataset curation and annotation quality
  • Task-specific KPIs and thresholds
  • A/B testing and guardrail telemetry
  • Continuous evaluation pipelines

Module 5: Security, Privacy & Guardrails

  • PII detection and minimization
  • Policy-based filtering and moderation
  • Prompt injection and jailbreak defenses
  • Data residency and encryption practices
  • Secrets, keys, and credential hygiene
  • Abuse monitoring and incident workflows

Module 6: Operations & Reliability

  • Observability and tracing for RAG pipelines
  • Cost governance and capacity planning
  • Backpressure, rate limits, and timeouts
  • Canary releases and rollback strategies
  • Dependency management and versioning
  • SLOs, on-call, and runbooks

Exam Domains:

  • Foundations of Knowledge-Augmented Generation
  • Vector Search Theory and Index Engineering
  • Evidence Quality, Scoring, and Test Methodology
  • Secure Retrieval Controls and Trust Governance
  • Productionization, Observability, and Incident Readiness
  • Responsible AI, Compliance, and Risk Management

Course Delivery:
The course is delivered through lectures, interactive discussions, design reviews, and project-based learning facilitated by experts in Certified RAG Architect (C-RAGA). Participants access online resources, curated readings, case studies, and guided exercises.

Assessment and Certification:
Participants are assessed through quizzes, assignments, and a capstone project. Upon successful completion, participants receive the Certified RAG Architect (C-RAGA) certificate.

Question Types:

  • Multiple Choice Questions (MCQs)
  • Scenario-based Questions

Passing Criteria:
To pass the Certified RAG Architect (C-RAGA) Certification exam, candidates must achieve a score of 70% or higher.

Ready to architect reliable, secure RAG? Enroll now to accelerate your roadmap. Bring your team to establish standards, improve trust, and ship with confidence.

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