AI & Automation · Self-paced course
Retrieval-Augmented Generation Systems
Design, build and evaluate retrieval-augmented generation systems that answer questions from your own documents reliably.
$297
One-time payment · Self-paced course · 6 modules · 18 lessons
Enroll now — $297Read a free preview lesson
What this is
A build course on retrieval-augmented generation: document ingestion and chunking, embeddings and vector search, retrieval strategies, prompt assembly, evaluation and production concerns such as freshness, access control and cost. The course is organized into 6 modules — RAG fundamentals, preparing documents, embeddings and storage, retrieval quality, generation and evaluation and operations — with 18 lessons in total, so you build the skill in a sensible order and can return to any part when you need it.
It does not promise that a RAG system will be accurate on every question or remove the need for human review. The course covers practical design choices, evaluation and failure modes; accuracy depends on your data, your retrieval setup and how carefully you test.
What you will be able to do
- Explain how retrieval, context and generation fit together
- Prepare and chunk documents for retrieval
- Choose an embedding model and vector store for your use case
- Improve retrieval with hybrid search, re-ranking and metadata filters
- Evaluate answer quality and set up monitoring
The curriculum
Module 1
RAG fundamentals
- What RAG is and when to use it
- Retrieval, context and generation
- Common RAG failure modes
Module 2
Preparing documents
- Sources and ingestion
- Cleaning and structure
- Chunking strategies
Module 3
Embeddings and storage
- Embedding models
- Vector databases
- Metadata and filters
Module 4
Retrieval quality
- Hybrid search
- Re-ranking
- Query rewriting
Module 5
Generation
- Prompting with retrieved context
- Citations and grounding
- Handling no-answer cases
Module 6
Evaluation and operations
- Building an evaluation set
- Measuring retrieval and answer quality
- Monitoring in production
This is for you if…
- You are building an internal assistant or knowledge search tool
- Your chatbot gives confident but wrong answers
- You are a developer, analyst or technical product owner
- You want to evaluate RAG vendors or prototypes critically
What you get
- 18 lessons across 6 modules — the preview lesson is available now and the remaining lessons are released in stages
- A free preview lesson you can read before you buy
- One-time payment of $297 — no subscription
- Self-paced study with no deadlines or live sessions
- Practical steps you can apply to your own work as you go
Questions
Is a certificate, license or credential awarded?
No. This course does not award any certification, license, accreditation or professional credential. It is educational content to help you build practical skills.
Can I read a lesson before I buy?
Yes. One lesson is free to read — use the “Read a free preview lesson” button at the top of this page.
Are all the lessons available now?
Not yet. The free preview lesson is published now, and the remaining lessons are being released in stages. Enrolling gives you access to each lesson as it is published, at no extra cost.
How is the course delivered?
It is a self-paced online course. There are no deadlines, live sessions or set start dates; you work through the lessons when it suits you.
How do I pay?
Payment is a one-time charge through the Skill Stack Suite checkout. There is no subscription.
Do you promise any results?
No. The course is educational. It does not promise any income, earnings, job, promotion or business results — what you get from it depends on your situation and how you apply it.
Retrieval-Augmented Generation Systems
$297
One-time payment · Self-paced course · 6 modules · 18 lessons
Enroll now — $297Educational content only. This course does not promise any income, earnings, revenue, job or business results; outcomes depend on your own situation and effort. No certification, license or professional credential is awarded.