Professional certificate

Yiga Certified AI Engineer

Earned after completing the ai engineer track. Build a RAG application plus code review.

Yiga AI

Advanced en

Advanced · Professional Certificate · 4–5 months at 10 hrs/week

Duration: 4–5 months
Effort: 10 hrs/week
Courses: 10
Hands-on exercises: 209
Projects: 10
Certificate: Included

Your pace≈ 4–5 months · 172 hours total

Certificate path

Choose this certificate.

Pick the pace you can keep. We enrol you in course 1 of 10 path — LLMs for Developers and track your progress from there.

Hours per week

Estimated: 18 weeks
Total study: 172 hours
Finish around: February 2027

Free to start · 18 weeks at 10 hrs/week

What you'll learn

10 courses in this track

Start this track

About this track

What you’ll learn.

Timed practical exam

Project or portfolio review

Verification code employers can check

Valid for two years

Skills you’ll gain

How this compares

Comparable to DataCamp Certifications · Coursera Professional Certificates. This track is 172 hours of study — about 4–5 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

Curriculum

A clear path, course by course.

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

1
Course 1 of 10
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
Course 2 of 10
AI App Development with Next.js & Supabase
Auth, Edge functions, Chat UI, and more.
Intermediate · Course · 4 weeks at 5 hrs/week
19 hours · 24 lessons · 24 exercises · 4 quizzes · 1 project
View course
3
Course 3 of 10
AI Safety, Evaluation & Monitoring
Red-teaming, Evals, Observability, and more.
Advanced · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
View course
4
Course 4 of 10
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
Course 5 of 10
Building AI Apps with Lovable & No-Code
Prompting Lovable, Supabase backend, Deploy, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
View course
6
Course 6 of 10
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
7
Course 7 of 10
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
8
Course 8 of 10
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
9
Course 9 of 10
Project: AI Tutor for a Ugandan Curriculum
Content ingestion, Grounded answers, Quizzes, and more.
Advanced · Course · 4 weeks at 5 hrs/week
19 hours · 24 lessons · 24 exercises · 4 quizzes · 1 project
View course
10
Course 10 of 10
Project: Multilingual Customer Support Bot
Design, RAG over docs, WhatsApp channel, and more.
Advanced · Course · 4 weeks at 5 hrs/week
19 hours · 24 lessons · 24 exercises · 4 quizzes · 1 project
View course

Applied learning project

Finish with work you can show.

Bring the track together in Project: Multilingual Customer Support Bot. Apply what you have learned to a practical challenge and explain the decisions behind your solution.

Timed practical exam
Project or portfolio review
Verification code employers can check

Learn from experts

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

Frequently asked questions

Before you begin.

Do I need prior experience?

This track is designed for 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 10 courses and about 172 hours of learning. Most learners finish in around 4–5 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 10, LLMs for Developers, and work through the path at your own pace.

Start this track View first course

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