Course 5 of 13

Retrieval-Augmented Generation (RAG)

Embeddings, Vector databases (pgvector, Pinecone), Chunking, and more.

Yiga AI

Intermediate en

Intermediate · Course · 4 weeks at 5 hrs/week

Duration: 4 weeks
Effort: 5 hrs/week
Lessons: 24
Hands-on exercises: 24
Projects: 1
Language: en

What you’ll learn

Skills you can put to work.

LLMs for Developers

Prompt Engineering for Production

Retrieval-Augmented Generation (RAG)

Building AI Agents

Syllabus

Every module, step by step.

4 modules · 29 lessons · 19 hours · 1 graded project

1160 minutes of guided lesson time.

Module 1 · 7 lessons · 4.3 hoursEmbeddingsModule 1 of 4 in Retrieval-Augmented Generation (RAG).

Overview and set-up
Overview and set-up — Embeddings in Retrieval-Augmented Generation (RAG).
Lesson
40 min
Core concepts
Core concepts — Embeddings in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Worked example
Worked example — Embeddings in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Embeddings in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Embeddings in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Applying it at work
Applying it at work — Embeddings in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Module quiz: Embeddings
Check what you learned in Embeddings before moving on.
Quiz · Locked
20 min

Module 2 · 7 lessons · 4.3 hours LockedVector databases (pgvector, Pinecone)Module 2 of 4 in Retrieval-Augmented Generation (RAG).

Overview and set-up
Overview and set-up — Vector databases (pgvector, Pinecone) in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Core concepts
Core concepts — Vector databases (pgvector, Pinecone) in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Worked example
Worked example — Vector databases (pgvector, Pinecone) in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Vector databases (pgvector, Pinecone) in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Vector databases (pgvector, Pinecone) in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Applying it at work
Applying it at work — Vector databases (pgvector, Pinecone) in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Module quiz: Vector databases (pgvector, Pinecone)
Check what you learned in Vector databases (pgvector, Pinecone) before moving on.
Quiz · Locked
20 min

Module 3 · 7 lessons · 4.3 hours LockedChunkingModule 3 of 4 in Retrieval-Augmented Generation (RAG).

Overview and set-up
Overview and set-up — Chunking in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Core concepts
Core concepts — Chunking in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Worked example
Worked example — Chunking in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Chunking in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Chunking in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Applying it at work
Applying it at work — Chunking in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Module quiz: Chunking
Check what you learned in Chunking before moving on.
Quiz · Locked
20 min

Module 4 · 8 lessons · 6.3 hours LockedEvaluationModule 4 of 4 in Retrieval-Augmented Generation (RAG).

Overview and set-up
Overview and set-up — Evaluation in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Core concepts
Core concepts — Evaluation in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Worked example
Worked example — Evaluation in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Evaluation in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Evaluation in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Applying it at work
Applying it at work — Evaluation in Retrieval-Augmented Generation (RAG).
Lesson · Locked
40 min
Module quiz: Evaluation
Check what you learned in Evaluation before moving on.
Quiz · Locked
20 min
Graded project: Retrieval-Augmented Generation (RAG)
Apply everything from Retrieval-Augmented Generation (RAG) in one graded, portfolio-ready build.
Graded project · Locked
120 min

Applied learning project

Make the learning visible.

Use Graded project: Retrieval-Augmented Generation (RAG) to apply this course to a practical challenge. You’ll finish with a clear solution and the reasoning behind your choices.

Apply the course’s core skillMake and explain practical decisionsCreate evidence you can share

Your instructor

Daniel O.

Data & analytics

Turns real African data problems into practical lessons learners can apply immediately.

“The course content made machine learning understandable, and the practice kept me moving.”
Brian Okello
Software developer, Kampala

Continue with

Your next best step.

Following the order of AI Engineer (LLM Applications).

See the full chain

Next lesson

Overview and set-up

Retrieval-Augmented Generation (RAG)

40 min · Resume

Course 6 in the track

Building AI Apps with Lovable & No-Code

Prompting Lovable, Supabase backend, Deploy, and more.

Beginner · Course · 3 weeks at 5 hrs/week

Course 7 in the track

LangChain & LlamaIndex

Chains, Retrievers, Callbacks, and more.

Intermediate · Course · 4 weeks at 5 hrs/week

Course 8 in the track

Project: Multilingual Customer Support Bot

Design, RAG over docs, WhatsApp channel, and more.

Advanced · Course · 4 weeks at 5 hrs/week

Learner reviews

What learners say.

Write a review

Loading reviews…

Previous courseBuilding AI Agents Next courseBuilding AI Apps with Lovable & No-Code

Keep going

Other courses in this track.

View full track

17 lessons · 14.1h · Intermediate

Retrieval-Augmented Generation (RAG)

Skills you can put to work.

Every module, step by step.

Make the learning visible.

Daniel O.

Your next best step.

What learners say.

Write a review

Other courses in this track.

LLMs for Developers

Building WhatsApp AI Bots

Project: AI Tutor for a Ugandan Curriculum

Building AI Agents