Course 1 of 10
AI FundamentalsHow modern AI works, from tokens to transformers, with hands-on prompting practice.
Beginner · Course · 4 weeks at 5 hrs/week
19 hours · 25 lessons · 25 exercises · 4 quizzes · 1 project
Career track
AI Fundamentals & Generative AI
8 courses, 40 hours, ending in Capstone: Build Your AI Workflow.
Yiga AI
Beginner en
Beginner · Career Track · 3–4 months at 10 hrs/week
- Duration
- 3–4 months
- Effort
- 10 hrs/week
- Courses
- 10
- Hands-on exercises
- 173
- Projects
- 10
- Certificate
- Included
Your pace≈ 3–4 months · 148 hours total
What you'll learn
10 courses in this track
- 01AI FundamentalsBeginner · 19.4 hours · 25 lessonsWhat artificial intelligence really is · Tokens, embeddings and context · Prompting with intent · +1 more
- 02Prompt Engineering at WorkBeginner · 14 hours · 16 lessonsAnatomy of a working prompt · Chaining and workflows · Applied practice · +1 more
- 03Understanding Artificial IntelligenceBeginner · 14 hours · 16 lessonsWhat AI is and isn't · Narrow vs general AI · AI in Africa today · +1 more
- 04Working with ChatGPT, Claude & GeminiBeginner · 14 hours · 16 lessonsTool comparison · Documents & data uploads · Custom instructions · +1 more
- 05Generative AI ConceptsBeginner · 14 hours · 16 lessonsHow LLMs work · Tokens & context · Image/audio/video generation · +1 more
- 06AI for Productivity & AutomationBeginner · 14 hours · 16 lessonsAI in email & docs · Meeting notes · Spreadsheet AI · +1 more
- 07Prompt Engineering for EveryoneBeginner · 14 hours · 16 lessonsPrompt anatomy · Role/context/format · Few-shot & chain-of-thought · +1 more
- 08Capstone: Build Your AI WorkflowBeginner · 16.7 hours · 20 lessonsChoose a job task · Design prompts · Automate · +1 more
- 09AI Image & Video CreationBeginner · 14 hours · 16 lessonsMidjourney/DALL-E basics · Canva AI · Video with Runway/HeyGen · +1 more
- 10Responsible AI & Data Privacy in AfricaBeginner · 14 hours · 16 lessonsUganda DPPA, Kenya DPA, Nigeria NDPA · Consent · Bias case studies · +1 more
About this track
What you’ll learn.
1
Understanding Artificial Intelligence
2
Generative AI Concepts
3
Prompt Engineering for Everyone
4
Working with ChatGPT, Claude & Gemini
Skills you’ll gain
AI
How this compares
Comparable to DataCamp AI Fundamentals · Coursera Google AI Essentials. This track is 148 hours of study — about 3–4 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
Marketer
Plan, create and measure campaigns with practical AI workflows.
Local salary guide · UGX 1.8M–6M per month
Teacher
Create stronger lessons, feedback and learning support with AI.
Local salary guide · UGX 1M–3.5M per month
Nurse
Apply digital and AI skills to safer, more efficient care workflows.
Local salary guide · UGX 1.2M–4M per month
Civil Servant
Use data and AI to improve public services and everyday delivery.
Local salary guide · UGX 1.5M–5M per month
Curriculum
A clear path, course by course.
Complete the courses in order so each new skill builds on the last.
- 1View course
- 2View course
Course 2 of 10
Prompt Engineering at WorkDesign reliable prompts and AI workflows for real jobs and small businesses.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 3View course
Course 3 of 10
Understanding Artificial IntelligenceWhat AI is and isn't, Narrow vs general AI, AI in Africa today, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 4View course
Course 4 of 10
Working with ChatGPT, Claude & GeminiTool comparison, Documents & data uploads, Custom instructions, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 5View course
Course 5 of 10
Generative AI ConceptsHow LLMs work, Tokens & context, Image/audio/video generation, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 6View course
Course 6 of 10
AI for Productivity & AutomationAI in email & docs, Meeting notes, Spreadsheet AI, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 7View course
Course 7 of 10
Prompt Engineering for EveryonePrompt anatomy, Role/context/format, Few-shot & chain-of-thought, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 8View course
Course 8 of 10
Capstone: Build Your AI WorkflowChoose a job task, Design prompts, Automate, and more.
Beginner · Course · 4 weeks at 5 hrs/week
17 hours · 20 lessons · 20 exercises · 4 quizzes · 1 project
- 9View course
Course 9 of 10
AI Image & Video CreationMidjourney/DALL-E basics, Canva AI, Video with Runway/HeyGen, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
- 10View course
Course 10 of 10
Responsible AI & Data Privacy in AfricaUganda DPPA, Kenya DPA, Nigeria NDPA, Consent, Bias case studies, and more.
Beginner · Course · 3 weeks at 5 hrs/week
14 hours · 16 lessons · 16 exercises · 4 quizzes · 1 project
Applied learning project
Finish with work you can show.
Bring the track together in Responsible AI & Data Privacy in Africa. Apply what you have learned to a practical challenge and explain the decisions behind your solution.
- Understanding Artificial Intelligence
- Generative AI Concepts
- Prompt Engineering for Everyone
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.”
Frequently asked questions
Before you begin.
Do I need prior experience?
This track is designed for beginner 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 148 hours of learning. Most learners finish in around 3–4 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, AI Fundamentals, and work through the path at your own pace.
Keep exploring
Related tracks.
Beginner · Career Track · 2–3 months at 10 hrs/week
84 hours · 6 courses · 6 projects · Certificate
Excel & Google Sheets Analyst
6 courses, 30 hours, ending in Project: Budget & Cash-Flow Model.
Beginner → Intermediate · Career Track · 6–7 months at 10 hrs/week
262 hours · 17 courses · 17 projects · Certificate
Data Analyst with Python
14 courses, 90 hours, ending in Analyst Career Prep.
Beginner → Intermediate · Career Track · 3–4 months at 10 hrs/week
160 hours · 11 courses · 11 projects · Certificate
Data Analyst with SQL & Power BI
11 courses, 70 hours, ending in Project: Sales Dashboard for a Kampala Retail Chain.