IT course Advanced level

RAG: Retrieval-Augmented Generation in Practice

Master RAG end to end: embeddings, chunking, vector databases, hybrid search, re-ranking, Agentic RAG and production scaling. Hands-on course for 2026.

Lessons
27in 11 modules
Duration
~24 hself-paced
Quiz
311questions
Level
Advancedfor practitioners
  • In English
  • Updated on
Free preview · lesson 1 · no account needed What Is RAG and Why It Matters An LLM will answer with the same confidence whether it knows the answer or is making it up — and in production, a wrong answer delivered with conviction costs more than an honest "I don't know". Retrieval-Augmented Generation — RAG for short — attacks exactly this problem. Read the preview

What you will learn

The course’s skills. The same ones appear on your Certificate of Completion, so you can show what you covered.

  • RAG Fundamentals
  • Implementing the RAG Pipeline
  • Embedding Models and Document Processing
  • Advanced RAG
  • Advanced RAG Architectures
  • RAG in Production
  • RAG Tools and Frameworks
  • Systematic RAG Evaluation and Testing

About the course

A premium, complete RAG (Retrieval-Augmented Generation) course, updated for 2026. Covers RAG fundamentals, embeddings and vector representations, chunking strategies, end-to-end RAG pipelines, vector databases (Pinecone, Qdrant, pgvector, Weaviate), semantic and hybrid search, re-ranking, multimodal RAG, evaluation metrics (RAGAS, DeepEval), 2026 embedding models, document processing, advanced architectures (Agentic RAG, Self-RAG, CRAG, GraphRAG, conversational RAG), production scaling, caching, security, frameworks (LangChain, LlamaIndex, Haystack), pipeline orchestration, CI/CD testing, monitoring, case studies and a complete hands-on project.

Who it is for

For developers, engineers and technical professionals who build or integrate AI solutions. It belongs to AI Engineering, on the IT track.

What you need

Advanced level: assumes hands-on experience with AI in the course’s field.

Course curriculum

11 modules · 27 lessons · about 24 hours · 311 quiz questions

Read a free preview of lesson 1: “What Is RAG and Why It Matters” No account needed. See how a lesson is written before you pay.
  1. Module 1: RAG Fundamentals

    3 lessons · 2 h 45 min · 36 questions
    1. What Is RAG and Why It Matters Free preview of the lesson “What Is RAG and Why It Matters” 55 min 12 questions
    2. Embeddings and Vector Representations 55 min 12 questions
    3. Chunking Strategies: The Art of Document Fragmentation 55 min 12 questions
  2. Module 2: Implementing the RAG Pipeline

    3 lessons · 2 h 45 min · 36 questions
    1. Building an End-to-End RAG Pipeline 55 min 12 questions
    2. Vector Databases in Practice 55 min 12 questions
    3. Semantic Search vs Keyword Search 55 min 12 questions
  3. Module 3: Embedding Models and Document Processing

    3 lessons · 2 h 45 min · 36 questions
    1. Embedding Models: Comparison and Selection 2026 55 min 12 questions
    2. Document Processing: PDF, HTML, Office, and Complex Structures 55 min 12 questions
    3. Multimodal Embeddings: Images, Tables, and Audio 55 min 12 questions
  4. Module 4: Advanced RAG

    3 lessons · 2 h 45 min · 35 questions
    1. Hybrid Search and Re-ranking 55 min 12 questions
    2. Multi-Modal RAG: Images, Tables, and Charts 55 min 12 questions
    3. RAG Evaluation Metrics 55 min 11 questions
  5. Module 5: Advanced RAG Architectures

    3 lessons · 2 h 45 min · 36 questions
    1. Agentic RAG, Self-RAG, and Corrective RAG 55 min 12 questions
    2. RAG with Knowledge Graphs 55 min 12 questions
    3. Conversational RAG: Memory and Multi-Turn Context 55 min 12 questions
  6. Module 6: RAG in Production

    3 lessons · 2 h 45 min · 35 questions
    1. Scaling RAG Systems 55 min 12 questions
    2. Caching and RAG Optimization 55 min 11 questions
    3. Security and Data Governance in RAG Systems 55 min 12 questions
  7. Module 7: RAG Tools and Frameworks

    2 lessons · 1 h 50 min · 24 questions
    1. LangChain, LlamaIndex, and Haystack: Complete 2026 Comparison 55 min 12 questions
    2. Orchestrating RAG Pipelines in Production 55 min 12 questions
  8. Module 8: Systematic RAG Evaluation and Testing

    2 lessons · 1 h 50 min · 24 questions
    1. Systematic RAG Evaluation with RAGAS and DeepEval 55 min 12 questions
    2. CI/CD Testing and RAG Monitoring in Production 55 min 12 questions
  9. Module 9: Case Studies and Hands-On Projects

    2 lessons · 1 h 55 min · 24 questions
    1. Case Study: RAG System for Technical Documentation 55 min 12 questions
    2. Hands-On Project: Build a Complete RAG System 60 min 12 questions
  10. Module 10: Final Quiz — RAG in Practice

    1 lesson · 1 h · 15 questions
    1. Final Assessment — RAG: Retrieval-Augmented Generation 60 min 15 questions
  11. Module 11: Appendix: Official Resources, 2026 Updates and Learning Paths

    2 lessons · 56 min · 10 questions
    1. Official Resources, 2026 Updates and Learning Paths 32 min 5 questions
    2. Contextual Retrieval: Enriching Chunks before Embedding 24 min 5 questions
By email

Email me the course syllabus

Modules and lessons in order, plus the link to the preview of lesson 1 — so you can decide at your own pace.

How you learn

You read the lesson, ask the AI Professor right on the page and check what you remember.

What Is RAG and Why It Matters

An LLM will answer with the same confidence whether it knows the answer or is making it up — and in production, a wrong answer delivered with conviction costs more than an honest "I don't know". Retrieval-Augmented Generation — RAG for short — attacks exactly this problem.

The AI Professor bar that appears in the lesson under the selected passage, with the actions “Explain this to me”, “Give me an example”, “Why does it matter?” and “My own question”
The first lines of lesson 1 of this course. Read the free preview, no account needed.
  1. You read the lesson at your own pace

    Written lessons, with examples and exercises. Your progress is saved automatically, so you can pick up where you left off.

  2. You ask the AI Professor inside the lesson

    Select a passage and it explains it, gives you an example or tells you why it matters. You can type or talk to it, in English.

  3. You check what you remember

    Every lesson has its own quiz, with explanations for the answers: 311 questions across the course. The professor also summarizes the lesson and prepares review flashcards.

  4. You get the Certificate of Completion

    Once you complete the lessons and reach the minimum quiz score, you issue it from your account, with a unique number, publicly verifiable.

The AI Professor is included in your subscription, per-course access included, with a monthly fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms. See how the AI Professor works.

You leave with proof anyone can check

The Certificate of Completion for “RAG: Retrieval-Augmented Generation in Practice”: a private attestation with a unique number and a QR code. A recruiter confirms it is authentic on the public verification page, with no account and no cost.

Example of a Cursuri AI Certificate of Completion with sample data: the serial number and the issue date in the top-right corner, the holder’s name, the course, the tier awarded, the percentage of lessons, the average score, the study time, the course version, the issuer and the verification QR code
The real document, an A4 PDF, shown here with sample data. Yours carries your name, the course “RAG: Retrieval-Augmented Generation in Practice”, the serial number, the issue date and the tier you earned; the QR code in the image is decorative.
  • Anyone can verify it

    Public verification page, QR code and cryptographic fingerprint, with no account for the person checking.

  • You show it where it counts

    Add it to your CV and LinkedIn profile; a recruiter confirms authenticity with one click.

  • It says exactly what it attests

    The course, the tier you earned (Pass, Merit or Distinction), the serial number and the issue date, plus the percentage of lessons completed.

Verify a certificate
Pricing

Just this course, or more with this one included

A subscription by number of courses: 1, 3, 5, 10, 15 or 25 courses a month, or the full catalog. You pick them and can change them at every renewal; your progress and certificates stay. Billed monthly or yearly (12 months for the price of 10), in EUR. You can stop the renewal anytime from your account, and access starts right after payment. Prices are totals, with VAT included at the rate of your country.

How many courses a month?

This course goes first on your list; you pick the others in your account and can change them at every renewal.

Billing period
  1. 1 course Only this course

    €99 a course

    €99a month €990a year, 12 months of access

  2. 3 courses This one + 2 of your choice

    under €67 a course

    €199a month €1,990a year, 12 months of access

  3. 5 courses This one + 4 of your choice

    under €52 a course

    €259a month €2,590a year, 12 months of access

  4. 10 courses Recommended This one + 9 of your choice

    under €32 a course

    €319a month €3,190a year, 12 months of access

  5. 15 courses This one + 14 of your choice

    under €24 a course

    €359a month €3,590a year, 12 months of access

  6. 25 courses This one + 24 of your choice

    under €16 a course

    €399a month €3,990a year, 12 months of access

  7. Full catalog Nothing to pick, new courses included

    under €10 a course, across all 50

    €499a month €4,990a year, 12 months of access

Total prices, VAT included. Move up anytime and pay only the difference for the days left; move down at renewal. Renews automatically, you stop it anytime from your account; your progress and certificates stay. Digital content with immediate access: see the withdrawal terms.

Before you decide

Frequently asked questions

About the course, the price, the AI Professor and the certificate.

What will I learn in “RAG: Retrieval-Augmented Generation in Practice”?

A premium, complete RAG (Retrieval-Augmented Generation) course, updated for 2026. Covers RAG fundamentals, embeddings and vector representations, chunking strategies, end-to-end RAG pipelines, vector databases (Pinecone, Qdrant, pgvector, Weaviate), semantic and hybrid search, re-ranking, multimodal RAG, evaluation metrics (RAGAS, DeepEval), 2026 embedding models, document processing, advanced architectures (Agentic RAG, Self-RAG, CRAG, GraphRAG, conversational RAG), production scaling, caching, security, frameworks (LangChain, LlamaIndex, Haystack), pipeline orchestration, CI/CD testing, monitoring, case studies and a complete hands-on project.

The course has 11 modules and 27 lessons, with 311 quiz questions. The full curriculum, module by module, is shown on the course page.

Do I need prior experience for this course?

Yes. The course is Advanced level and assumes hands-on experience with AI in its field.

How long does the course take?

The estimated duration is about 24 hours, across 27 lessons. You learn at your own pace, and your progress is saved automatically at every lesson, so you can pick up where you left off.

How much does it cost, and which plan do I need?

This course alone: the 1 course plan, €99 per month. The course fits into every plan of the subscription, next to other courses you choose: for example 3 courses for €199, 10 courses for €319 (recommended) or the full catalog for €499 per month.

You pick your courses after paying and can change them at every renewal; starting from here, this one is already picked. Plans are billed in EUR, monthly or yearly (pay for 10 months, get 12). Every price is a total, with VAT included at the rate of your country. See all plans.

Can I read part of the course before paying?

Yes. You can read a free preview of lesson 1, “What Is RAG and Why It Matters”, without an account. The preview shows you how the lesson is written; the rest of the lesson and the other lessons open after payment.

How does the AI Professor help me in this course?

The AI Professor is built into every lesson and starts from the lesson you have open: it explains the passages you select, gives you examples, summarizes the lesson, tests you with a quiz and prepares review flashcards. You can type or talk to it, in English.

It is included in every plan of your subscription, with a fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms.

Do I get a certificate when I finish the course?

When you meet the completion thresholds shown on the platform (lessons completed and the minimum quiz score), you can issue your Certificate of Completion for “RAG: Retrieval-Augmented Generation in Practice” from your account, with a unique number, publicly verifiable on the site.

It is a private attestation of course completion, issued by GALIAN SOFTWARE DEVELOPMENT SRL. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Details in the Certification policy.

Does the subscription renew automatically? How do I stop it?

Yes. The subscription renews automatically at the end of each monthly billing period. You can see the next renewal date in your account at any time.

You can stop the renewal at any time, from your account or by email, with no other formality. Access stays active until the end of the period already paid for, and no pro-rata refund is made for a period already started, except in the cases provided by law. Your progress stays saved in your account. Details in the Terms & Conditions, section 5.5.

Can my company buy this course for a team?

Yes. With the team library, the company admin picks 3, 5, 10, 15 or 25 courses a month, or the full catalog, for the whole team, from €49 per member per month, excl. VAT, for 5 members or more. A dashboard shows each member’s progress and manages seats centrally. Price it for your team.

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You can pick them together with this one in a 3, 5 or 10-course subscription (3 courses for €199 a month), and the full catalog includes them all. A single course is €99 a month.

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Start the course today, at your own pace

“RAG: Retrieval-Augmented Generation in Practice”: 27 lessons and about 24 hours of content, with your progress saved at every lesson.

  • Instant access after payment, on computer, tablet or phone.
  • AI Professor in every lesson, included in your subscription.
  • Certificate of Completion, publicly verifiable.

1-course subscription

€99/month

VAT included · stop the renewal anytime from your account

Start the course · €99/month Or 3 courses for €199/month, this one included