Yiga AI

Career track

AI Engineer (LLM Applications)

13 courses, 100 hours, ending in Project: AI Tutor for a Ugandan Curriculum.

Yiga AI

Intermediate → Advanced en

Intermediate → Advanced · Career Track · 5–6 months at 10 hrs/week

Duration
5–6 months
Effort
10 hrs/week
Courses
13
Hands-on exercises
265
Projects
13
Certificate
Included
Your pace≈ 5–6 months · 219 hours total

What you'll learn

13 courses in this track

  1. 01LLMs for DevelopersIntermediate · 14.1 hours · 17 lessonsAPIs (OpenAI, Anthropic, Gemini) · Tokens & cost · Streaming · +1 more
  2. 02Building WhatsApp AI BotsIntermediate · 16.7 hours · 20 lessonsWhatsApp Cloud API · Webhooks · Flows · +1 more
  3. 03Project: AI Tutor for a Ugandan CurriculumAdvanced · 19.3 hours · 24 lessonsContent ingestion · Grounded answers · Quizzes · +1 more
  4. 04Building AI AgentsIntermediate · 19.3 hours · 24 lessonsTool use · Planning · Memory · +1 more
  5. 05Retrieval-Augmented Generation (RAG)Intermediate · 19.3 hours · 24 lessonsEmbeddings · Vector databases (pgvector, Pinecone) · Chunking · +1 more
  6. 06Building AI Apps with Lovable & No-CodeBeginner · 14 hours · 16 lessonsPrompting Lovable · Supabase backend · Deploy · +1 more
  7. 07LangChain & LlamaIndexIntermediate · 16.7 hours · 20 lessonsChains · Retrievers · Callbacks · +1 more
  8. 08Project: Multilingual Customer Support BotAdvanced · 19.3 hours · 24 lessonsDesign · RAG over docs · WhatsApp channel · +1 more
  9. 09AI App Development with Next.js & SupabaseIntermediate · 19.3 hours · 24 lessonsAuth · Edge functions · Chat UI · +1 more
  10. 10AI Safety, Evaluation & MonitoringAdvanced · 14 hours · 16 lessonsRed-teaming · Evals · Observability · +1 more
  11. 11Fine-Tuning Open ModelsAdvanced · 19.3 hours · 24 lessonsHugging Face · LoRA/QLoRA · Datasets · +1 more
  12. 12Speech & Vision with AI APIsIntermediate · 14 hours · 16 lessonsWhisper · TTS · Image understanding · +1 more
  13. 13Prompt Engineering for ProductionIntermediate · 14 hours · 16 lessonsStructured outputs · Evaluation · Guardrails · +1 more

About this track

What you’ll learn.

1

LLMs for Developers

2

Prompt Engineering for Production

3

Retrieval-Augmented Generation (RAG)

4

Building AI Agents

Skills you’ll gain

AI

How this compares

Comparable to DataCamp AI Engineer · DeepLearning.AI · Coursera IBM AI Engineering. This track is 219 hours of study — about 5–6 months at 10 hrs/week.

Career outcomes

Turn learning into forward motion.

Build job-ready evidence for roles that use these skills every day.

AI Engineer

Build intelligent products and production-ready AI systems.

Local salary guide · UGX 4.5M–12M per month

Curriculum

A clear path, course by course.

Complete the courses in order so each new skill builds on the last.

  1. 1

    Course 1 of 13

    LLMs for Developers

    APIs (OpenAI, Anthropic, Gemini), Tokens & cost, Streaming, and more.

    Intermediate · Course · 3 weeks at 5 hrs/week

    14 hours · 17 lessons · 17 exercises · 4 quizzes · 1 project

    View course
  2. 2

    Course 2 of 13

    Building WhatsApp AI Bots

    WhatsApp Cloud API, Webhooks, Flows, and more.

    Intermediate · Course · 4 weeks at 5 hrs/week

    17 hours · 20 lessons · 20 exercises · 4 quizzes · 1 project

    View course
  3. 3
  4. 4

    Course 4 of 13

    Building AI Agents

    Tool use, Planning, Memory, and more.

    Intermediate · Course · 4 weeks at 5 hrs/week

    19 hours · 24 lessons · 24 exercises · 4 quizzes · 1 project

    View course
  5. 5

    Course 5 of 13

    Retrieval-Augmented Generation (RAG)

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

    Intermediate · Course · 4 weeks at 5 hrs/week

    19 hours · 24 lessons · 24 exercises · 4 quizzes · 1 project

    View course
  6. 6
  7. 7

    Course 7 of 13

    LangChain & LlamaIndex

    Chains, Retrievers, Callbacks, and more.

    Intermediate · Course · 4 weeks at 5 hrs/week

    17 hours · 20 lessons · 20 exercises · 4 quizzes · 1 project

    View course
  8. 8
  9. 9
  10. 10
  11. 11

    Course 11 of 13

    Fine-Tuning Open Models

    Hugging Face, LoRA/QLoRA, Datasets, and more.

    Advanced · Course · 4 weeks at 5 hrs/week

    19 hours · 24 lessons · 24 exercises · 4 quizzes · 1 project

    View course
  12. 12

    Course 12 of 13

    Speech & Vision with AI APIs

    Whisper, TTS, Image understanding, and more.

    Intermediate · Course · 3 weeks at 5 hrs/week

    14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project

    View course
  13. 13

Applied learning project

Finish with work you can show.

Bring the track together in Prompt Engineering for Production. Apply what you have learned to a practical challenge and explain the decisions behind your solution.

  • LLMs for Developers
  • Prompt Engineering for Production
  • Retrieval-Augmented Generation (RAG)
Daniel O., Data & analytics

Learn from experts

Daniel O.

Data & analytics

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

Brian Okello, Yiga learner

“The course content made machine learning understandable, and the practice kept me moving.”

Brian Okello

Software developer, Kampala

Frequently asked questions

Before you begin.

Do I need prior experience?

This track is designed for intermediate → advanced learners. Start with the first course and follow the numbered path so each skill builds naturally.

How long will the track take?

The track contains 13 courses and about 219 hours of learning. Most learners finish in around 5–6 months at 10 hrs/week.

Can I learn on my phone?

Yes. Yiga lessons are designed to work across phones and computers, so you can keep learning on the device available to you.

Will I earn a credential?

You can earn a shareable Yiga credential after completing the required learning and assessment activities in the track.

Is financial support available?

Scholarship and financial-aid options are available for eligible learners. Contact the Yiga support team before enrolling for guidance.

Ready when you are

Start this track today.

Begin with course 1 of 13, LLMs for Developers, and work through the path at your own pace.

Start this track View first course

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