Language models answer fluently but know nothing about your policies, contracts or customers, and they will invent answers when pushed. Retrieval-augmented generation fixes this by grounding responses in your own documents, but enterprise deployments fail on poor ingestion, weak retrieval, missing access control and no way to measure quality. Over ten days you build the full pipeline: document parsing, chunking strategies, embedding models, vector databases such as pgvector, hybrid keyword and semantic search, reranking, prompt construction and citation of sources. Advanced sessions cover agentic retrieval, multi-tenant security, prompt injection defences, evaluation harnesses, observability, cost control, deployment on cloud platforms and the governance expected by risk, legal and audit teams.
Labs use Python and open tooling, with a capstone assistant built on a realistic document collection. The programme is designed for software and data engineers, solution and enterprise architects, machine learning practitioners, technical product owners and AI governance leads in banks, telecoms, government and consulting firms. Delivery is classroom, online or in-house, and a CPD-accredited certificate is issued. Afterwards you can propose an architecture, deliver a working prototype, and show stakeholders how it is tested, secured and controlled.
Organisations are rushing to put generative AI in front of staff and customers, and most quickly discover that a general-purpose model cannot answer questions about internal procedures, product terms or regulatory guidance. Retrieval-augmented generation has become the standard pattern for connecting models to trusted content, but moving from a demonstration to a dependable service demands engineering discipline and clear governance.
The Enterprise Retrieval-Augmented Generation (RAG) Architecture and Governance Training Course spans two weeks and treats RAG as a complete system. The first week covers foundations and construction: language model behaviour and limits, content ingestion and cleaning, chunking and metadata, embeddings, vector stores, retrieval methods and answer generation with citations. The second week is about making that system dependable at enterprise scale. Topics include hybrid retrieval and reranking, query rewriting, agentic and multi-step patterns, evaluation of retrieval and answer quality, observability, latency and cost optimisation, document-level permissions, privacy and data residency, red-teaming and compliance with emerging AI governance frameworks.
Every day includes coding or design labs. Participants progress from a simple pipeline to a secured, evaluated assistant over a realistic document set and present an architecture decision record and governance pack at the close.
By the end of the course, participants will be able to:
Participants complete the course with:
The course is laboratory-driven, with concepts introduced only when the next build step requires them:
Day 1: Language Models and the Case for RAG
Day 2: Content Ingestion and Preparation
Day 3: Chunking and Embeddings
Day 4: Vector Stores and Basic Retrieval
Day 5: Generation, Prompts and Citations
Day 6: Advanced Retrieval Techniques
Day 7: Agentic and Multi-Step RAG
Day 8: Evaluation and Observability
Day 9: Security, Privacy and Production Operations
Day 10: Governance and Capstone Presentation
The course is intended for technical and governance professionals who design or oversee enterprise AI assistants, including:
On completion of the ten days, participants earn a CPD-accredited Certificate of Completion from Vision Reach Global Consultancy.
The award is based on attendance, completion of the daily labs and delivery of the capstone presentation.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Everything you need to know about this course before you register.
By the end of the Enterprise Retrieval-Augmented Generation (RAG) Architecture and Governance programme, you'll be able to explain how large language models work, where they fail and why grounding is needed, build ingestion pipelines that parse, clean, chunk and enrich enterprise documents, select embedding models and vector stores and tune similarity search, and implement hybrid retrieval, reranking and query transformation to raise answer quality. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is intended for technical and governance professionals who design or oversee enterprise AI assistants, including: Software engineers and backend developers, Data engineers and data scientists, Machine learning and AI engineers, Solution, cloud and enterprise architects, Technical product owners and AI programme managers, Information security and data protection officers, Knowledge management and digital transformation leads, and Risk, audit and compliance staff reviewing AI systems.
Enterprise Retrieval-Augmented Generation (RAG) Architecture and Governance Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Enterprise Retrieval-Augmented Generation (RAG) Architecture and Governance Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Enterprise Retrieval-Augmented Generation (RAG) Architecture and Governance starts November 2, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Enterprise Retrieval-Augmented Generation (RAG) Architecture and Governance Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Enterprise Retrieval-Augmented Generation (RAG) Architecture and Governance Training Course is pitched at advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Enterprise Retrieval-Augmented Generation (RAG) Architecture and Governance Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Enterprise Retrieval-Augmented Generation (RAG) Architecture and Governance Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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