Join Our AI Engineering Bootcamp
Join, Learn & Innovate. Taking you from beginner to expert in 6-months
Artificial Intelligence Engineering 6-Months Intensive Bootcamp (Starts Sep 15)
Artificial Intelligence (AI) is reshaping every industry — from healthcare and finance to education and entertainment. As businesses race to ...
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What is AI Engineering?
AI engineering is the field focused on designing, developing, deploying, and maintaining AI systems in real-world applications.
Why Learn AI Engineering?
| 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. |
Why be taught by us?
- 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
Mode of Learning & Duration
| Beginner (2025) – Sep 15 to Nov 14 |
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| Break (with development assignments and one-on-one with instructors sessions ) | Virtual |
| Intermediate (2026) – Jan 5 to Feb | Hybrid (On-site & Virtual) |
| Advanced (2026) – Mar to Apr | Hybrid (On-site & Virtual) |
NB: On-site will be in Nairobi and location will be selected based on the most convenient location for each student by January.
What is the salary range of an AI engineer?
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:
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Aged just 24, this AI researcher and entrepreneur founded Vercept and led impactful work at the Allen Institute for AI.
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Meta initially offered $125 million to lure him into its Superintelligence Lab.
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After a personal meeting with Mark Zuckerberg, Meta doubled the offer to an incredible $250 million over four years which he accepted.
Remote, US:
- Research engineer -$100K – $550K/year
- AI Engineer- $190K–$210K/year
Course materials
2 items
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Introduction to AI & AI Engineering
Prompt Engineering
Python Fundamentals for AI Applications
Introduction to FASTAPI
Database Basics (MySQL)
Project Deliverable: AI-powered Q&A Bot
Do I need coding experience to take this course?
Basic programming knowledge (especially in Python) is helpful but not mandatory. We start with beginner-friendly foundations and build up to advanced AI concepts.
What is the mode of learning?
Virtual for beginner stage and Hybrid for intermediate & advanced
Can I get a job after this course and will you help me?
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
AI Engineer
Machine Learning Engineer
Data Scientist
AI Product Developer
We will also help you practice and apply until you get a job
What are some of the activities of an AI Engineer
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.
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.
Real-World Examples
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.
A health AI engineer develops AI systems to read medical images.
A retail AI engineer builds recommendation systems for e-commerce.
What skills will I gain from this course?
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.
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.
How long does it take to complete the course?
The course duration varies based on your chosen track (full-time or part-time), but most students complete it in 3–6 months.
Will I get a certificate after completing the course?
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.
What is the salary range of an AI engineer?
ENTRY LEVEL - Remote, US - $100K – $550K/year
Entry-level AI engineers can earn KES 150,000–300,000/month in Kenya
Entry-level AI engineers can earn KES 150,000–300,000/month in Kenya
Will the course help me start my own AI business?
Absolutely! The course includes AI entrepreneurship modules, case studies of African AI startups, and practical guidance on launching your own AI solutions.
What makes this course different from others?
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.
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.
Once enrolled, one of our sales representatives will be calling you shortly.
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Course details
Duration
6 Months
Lectures
3
Quizzes
2
Level
Beginner
Course requirements
- Basic computer literacy and problem-solving skills.
- Access to a laptop (8GB RAM minimum recommended).
- Reliable internet connection for online sessions.
- No prior coding experience required — beginners are welcome.
Intended audience
- Students and graduates seeking careers in AI engineering.
- Software developers and IT professionals looking to transition into AI roles.
- Entrepreneurs aiming to build AI-driven products or services.
- Anyone passionate about technology, problem-solving, and innovation.
- Professionals from non-tech backgrounds who want to leverage AI in their industry
Build Knowledge Step by Step
- +254 112 304 045
- KMA Centre Block B, Suite 4.2 Chyulu Road, Upper Hill Nairobi, Kenya
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