Transform Your Career in 12 Weeks
Our intensive AI Bootcamp is designed to take you from a complete beginner to a job-ready AI engineer in just 12 weeks. Combining theoretical knowledge with hands-on projects, you'll learn the skills that top companies are looking for.
Comprehensive Curriculum
From Python basics to advanced AI frameworks, covering everything you need to become a professional AI engineer.
Expert Mentorship
Learn directly from industry experts with personalized guidance and continuous support throughout your journey.
Job Placement Support
85% job placement rate within 3 months of graduation, with ongoing career support and networking opportunities.
12-Week Curriculum
A carefully structured program that builds your skills progressively.
Foundations
- • Python Programming
- • Data Structures & Algorithms
- • Mathematics for AI
- • Git & Development Tools
- • First Python Project
Machine Learning
- • ML Fundamentals
- • Supervised Learning
- • Unsupervised Learning
- • Model Evaluation
- • ML Project
Deep Learning
- • Neural Networks
- • TensorFlow & PyTorch
- • Computer Vision
- • Natural Language Processing
- • Deep Learning Project
GISE™ & Deployment
- • GISE™ Methodology
- • AI Integration Patterns
- • Model Deployment
- • Capstone Project
- • Portfolio Development
Meet Your Instructors
Learn from industry experts who have built AI systems at scale.
Tezira Wanyana
Lead Instructor & CTO
Ugandan AI engineer with 8+ years of experience in machine learning and software architecture. Tezira has led AI projects for Fortune 500 companies and is passionate about democratizing AI education in Africa.
Specialties: Deep Learning, Computer Vision, AI Architecture
Experience: Microsoft, MUST
Jesse Mugulusi
GISE™ Methodology & CEO
European tech entrepreneur with deep African connections. Dries brings over a decade of experience in software engineering and AI, having developed the GISE™ methodology that integrates AI throughout the development lifecycle.
Specialties: GISE™, AI Integration, Software Architecture
Experience: European startups, African tech ecosystem
Success Stories & Metrics
Our graduates are making an impact across the African tech ecosystem.
Job Placement Rate
Within 3 months
Average Salary Increase
Post-graduation
Program Completion
Finish all 12 weeks
Graduates Placed
Since 2023
“The bootcamp completely transformed my career. I went from being a recent graduate with no AI experience to landing a machine learning engineer role at a top fintech company.”
Amina Mukasa
ML Engineer at FlutterWave
“The hands-on approach and real-world projects prepared me perfectly for my current role. The GISE™ methodology is something I use daily in my work.”
Joseph Okello
AI Engineer at Safaricom
Frequently Asked Questions
What are the prerequisites?
Basic computer literacy and high school mathematics. No prior programming experience required. We start from the fundamentals and build up progressively.
What is the schedule like?
Full-time program: Monday-Friday, 9 AM - 5 PM (EAT). Part-time evening option available: Monday-Friday, 6 PM - 9 PM + Saturday 9 AM - 5 PM.
How much does it cost?
$2,500 for the full program. Payment plans available. Scholarships offered for exceptional candidates from underrepresented backgrounds.
Is job placement guaranteed?
While we can't guarantee placement, 85% of our graduates find AI-related roles within 3 months. We provide extensive career support, interview preparation, and networking opportunities.
Can I attend remotely?
Yes! We offer both in-person (Kampala) and remote options. Remote students get the same curriculum, mentorship, and career support as in-person attendees.
What happens after graduation?
Graduates join our alumni network with ongoing career support, advanced workshops, and opportunities to work on Wanyana.africa projects as contractors.
"The Wanyana.africa bootcamp was life-changing. The combination of technical depth, practical projects, and career support gave me everything I needed to transition into AI engineering. I'm now working on cutting-edge AI projects and earning 3x my previous salary."