Yiga AI

Course 7 of 13

LangChain & LlamaIndex

Chains, Retrievers, Callbacks, and more.

Yiga AI

Intermediate en

Intermediate · Course · 4 weeks at 5 hrs/week

Duration
4 weeks
Effort
5 hrs/week
Lessons
20
Hands-on exercises
20
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 · 25 lessons · 17 hours · 1 graded project

1000 minutes of guided lesson time.

Sign in and enrol to unlock every lesson. The first lesson is open as a preview.

Module 1 · 6 lessons · 3.7 hoursChainsModule 1 of 4 in LangChain & LlamaIndex.

  1. Overview and set-up

    Overview and set-up — Chains in LangChain & LlamaIndex.

    Lesson

    40 min

  2. Core concepts

    Core concepts — Chains in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Chains in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Chains in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Chains in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  6. Module quiz: Chains

    Check what you learned in Chains before moving on.

    Quiz · Locked

    20 min
Module 2 · 6 lessons · 3.7 hours LockedRetrieversModule 2 of 4 in LangChain & LlamaIndex.

  1. Overview and set-up

    Overview and set-up — Retrievers in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Retrievers in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Retrievers in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Retrievers in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Retrievers in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  6. Module quiz: Retrievers

    Check what you learned in Retrievers before moving on.

    Quiz · Locked

    20 min
Module 3 · 6 lessons · 3.7 hours LockedCallbacksModule 3 of 4 in LangChain & LlamaIndex.

  1. Overview and set-up

    Overview and set-up — Callbacks in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Callbacks in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Callbacks in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Callbacks in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Callbacks in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  6. Module quiz: Callbacks

    Check what you learned in Callbacks before moving on.

    Quiz · Locked

    20 min
Module 4 · 7 lessons · 5.7 hours LockedDeploymentModule 4 of 4 in LangChain & LlamaIndex.

  1. Overview and set-up

    Overview and set-up — Deployment in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Deployment in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Deployment in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Deployment in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  5. Common pitfalls

    Common pitfalls — Deployment in LangChain & LlamaIndex.

    Lesson · Locked

    40 min

  6. Module quiz: Deployment

    Check what you learned in Deployment before moving on.

    Quiz · Locked

    20 min

  7. Graded project: LangChain & LlamaIndex

    Apply everything from LangChain & LlamaIndex in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: LangChain & LlamaIndex 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
Grace A., AI for professions

Your instructor

Grace A.

AI for professions

Shows working professionals how to use AI responsibly inside everyday workflows.

Samuel Mwangi, Yiga learner

“The examples felt relevant to public service and worked on the connection I actually have.”

Samuel Mwangi

Public service officer, Nairobi

Continue with

Your next best step.

Following the order of AI Engineer (LLM Applications).

See the full chain

Next lesson

Overview and set-up

LangChain & LlamaIndex

40 min · Resume

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

Course 9 in the track

AI App Development with Next.js & Supabase

Auth, Edge functions, Chat UI, and more.

Intermediate · Course · 4 weeks at 5 hrs/week

Course 10 in the track

AI Safety, Evaluation & Monitoring

Red-teaming, Evals, Observability, and more.

Advanced · Course · 3 weeks at 5 hrs/week

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