AI Engineering Bootcamp
Our AI Engineering Course equips you with the skills to design, build, and deploy real-world AI applications.
Over 4 months (16 weeks), you’ll learn directly from experienced engineers, gain hands-on project experience, and graduate ready to work in AI roles or launch your own AI-powered startup.
What is AI Engineering?
AI engineering is the field focused on designing, developing, deploying, and maintaining AI systems in real-world applications.
- Physical – 8 hours a week
- Mon, Tue, Wed, Thur
- During the day 9AM to 11 AM or 2:00PM to 4:00PM
- Virtual – 8 hours a week
- Mon, Tue, Wed, Thur
- Evening from 7:15 PM to 9:15 PM
- One-on-one virtual instructor consultations during the day.
Course Outline/ Curriculum
| High Demand | AI engineers are among the most sought-after professionals worldwide. |
| Future-Proof Career | AI is driving the next wave of technological advancement. |
| Lucrative Opportunities | AI skills open doors to high-paying global roles. |
| Real Impact | Build solutions that solve real-world problems. |
- Taught by Engineers who actively build and deploy AI applications.
- Post-course mentorship to guide your career or startup journey.
- Focus on real-world projects — not just theory.
- Hybrid learning model for flexibility and accessibility.
- 20% discount in other paid courses in future
Inspiring Story: $250M Offer to 24-Year-Old AI Prodigy
The power of honing elite skills, and being recognized for them, is best illustrated by Matt Deitke:
- Aged just 24, this AI researcher and entrepreneur founded Vercept and led impactful work at the Allen Institute for AI.
- Meta initially offered $125 million to lure him into its Superintelligence Lab.
- After a personal meeting with Mark Zuckerberg, Meta doubled the offer to an incredible $250 million over four years which he accepted.
Frequently Asked Questions (FAQ)
Basic programming knowledge (especially in Python) is helpful but not mandatory. We start with beginner-friendly foundations and build up to advanced AI concepts.
Virtual for beginner stage and Hybrid for intermediate & advanced
Yes — AI Engineers are in high demand globally. With the skills gained, you can apply for roles such as:
AI Engineer
Machine Learning Engineer
Data Scientist
AI Product Developer
We will also help you practice and apply until you get a job
Problem Definition – Understanding business or societal challenges and deciding if AI is the right tool.
Data Work – Collecting, cleaning, labeling, and preparing data for training AI models.
Model Development – Choosing and implementing algorithms (machine learning, deep learning, natural language processing, computer vision, etc.).
Integration & Deployment – Embedding AI models into products, apps, or systems so they work in real-time.
Optimization & Maintenance – Improving performance, reducing bias, and updating models as data changes.
Ethics & Compliance – Ensuring AI meets legal, privacy, and fairness standards.
A bank AI engineer creates fraud detection models.
A health AI engineer develops AI systems to read medical images.
A retail AI engineer builds recommendation systems for e-commerce.
By the end of the course, you will be able to:
- Work with data and machine learning algorithms.
- Build, train, and deploy AI models.
- Use AI frameworks like TensorFlow and PyTorch.
- Apply AI to real-world problems and industries.
Yes. You’ll receive a recognized and verifiable certificate of completion that can be shared with employers, added to LinkedIn, or used in startup pitches.
ENTRY LEVEL – Remote, US – $100K – $550K/year
Entry-level AI engineers can earn KES 150,000–300,000/month in Kenya
Absolutely! The course includes AI entrepreneurship modules, case studies of African AI startups, and practical guidance on launching your own AI solutions.
Hands-on learning with real datasets and projects.
African context — including case studies of local AI success stories like Esheria, Kuda, Zindi, InstaDeep, Max.ng, and Aerobotics.
Mentorship from AI professionals and startup founders.
What others are building in the AI Sector
Develop scalable, impactful technology that drives change
Start your course in AI engineering and learn to build world-class AI solutions focused on real local challenges.
You will gain the skills necessary to fix critical real-world problems, just as Amini addresses sub-Saharan Africa’s environmental data gap using satellite AI, and CDIAL builds tools for 180 African languages.