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AI & Machine Learning

Join the AI revolution by mastering machine learning. From algorithms to real-world AI applications, our program prepares you to build intelligent systems that power everything from recommendations to self-driving tech.

AI & Machine Learning Experience

Join the AI revolution by mastering machine learning. From algorithms to real-world AI applications, our program prepares you to build intelligent systems that power everything from recommendations to self-driving tech.

ML Algorithms & Models

Understand and implement key ML algorithms like decision trees and neural nets.

AI Problem Solving

Apply ML to real-world challenges in vision, language, and prediction.

Model Training & Optimization

Learn hyperparameter tuning, overfitting prevention, and model evaluation.

Deep Learning & Frameworks

Explore TensorFlow and PyTorch to build cutting-edge AI applications.

Why Choose Machine Learning / AI?

AI is reshaping how the world works—from personalized recommendations to autonomous systems. As businesses invest in intelligent solutions, demand for ML professionals is exploding. Our hands-on program helps you build real AI models and prepares you to lead the future of technology and automation.

What You'll Learn – Machine Learning / AI

Created by AI engineers and researchers, this curriculum helps you understand both foundational theory and real-world ML applications—from simple models to deep learning systems.

Machine Learning Topics

Supervised and unsupervised learning
Neural networks and deep learning
Model evaluation and cross-validation
Natural language processing and computer vision
Ethical considerations and AI bias

Model Research & Evaluation

Dataset exploration and preprocessing
Defining evaluation metrics (accuracy, recall, etc.)
Feature selection and engineering
Cross-validation and performance tuning
A/B testing for model comparison

Model Design & Integration

Designing ML workflows and pipelines
Prototyping AI models in Jupyter Notebooks
Building interactive AI demos
Designing model outputs for usability
Mobile-first AI integrations (e.g., edge AI, on-device models)

ML & AI Frameworks

TensorFlow and PyTorch
Scikit-learn and XGBoost
OpenAI Gym and Hugging Face Transformers
MLflow for model tracking and deployment
ONNX and TensorRT for model optimization and export

AI Project Showcase

Throughout the program, you'll build smart systems and deploy intelligent solutions. By graduation, you'll have 5–7 end-to-end AI projects that demonstrate your skills in data preprocessing, model development, and application deployment—perfect for your portfolio or GitHub profile.

Tuition & Dates

Upcoming Cohorts

Cohort #2

September 2025 - August 2026
Weekdays (Mon-Fri), 9:00 AM - 5:00 PM WAT
Early Bird Active

Cohort #3

January 2026 - June 2026
Weekdays (Mon-Fri), 9:00 AM - 5:00 PM WAT
Upcoming

Payment Options

Full Payment

₦600,000

Save ₦30,000

  • Complete bootcamp access
  • 38-week intensive program
  • Live instruction & mentorship
  • Career support
  • Certificate of completion

Installment Plan

₦210,000 × 3

Total: ₦630,000

  • Pay in 3 installments
  • Complete bootcamp access
  • 38-week intensive program
  • Live instruction & mentorship
  • Career support

Early Bird Discount Available

Register early and you could be eligible for a ₦10,000 discount on your tuition fees! Terms and Conditions apply, though.

Hands-on Projects

Showcase your ML/AI capabilities by building intelligent models and deploying them in real-world use cases. Each project emphasizes model training, evaluation, and responsible AI practices.

Supervised Learning Classifier

Train a classification model to predict outcomes from structured data.

Key Deliverables:

  • Preprocessing pipeline
  • Logistic regression or decision tree model
  • Confusion matrix and evaluation metrics
  • Jupyter notebook with explanations

Image Recognition System

Build a CNN that classifies images into categories using TensorFlow or PyTorch.

Key Deliverables:

  • Labeled dataset preprocessing
  • CNN model architecture
  • Training logs and accuracy tracking
  • Inference script and demo

AI Chatbot with NLP

Develop a conversational AI chatbot using natural language processing techniques.

Key Deliverables:

  • Intent recognition and response logic
  • Tokenization and vectorization pipeline
  • Model training with Rasa or Hugging Face
  • Deployment-ready interface

Career Preparation

Our comprehensive career support prepares you for success in the competitive AI industry with portfolio reviews, interview preparation, and job placement assistance.

Machine Learning Engineer

₦5M - ₦12M annually

Design and deploy ML models into scalable production environments

AI Research Assistant

₦4M - ₦8M annually

Work on experimental AI projects and contribute to research publications

Computer Vision/NLP Specialist

₦6M - ₦13M annually

Build AI systems that interpret images, text, or speech across industries

Portfolio Development Support

Portfolio Reviews

Regular one-on-one sessions with senior AI engineers to refine your ML projects and GitHub portfolio

Interview Preparation

Mock ML system design interviews and algorithm discussions

Industry Connections

Access to our network of AI teams, research labs, and hiring partners

Ongoing Support

Career guidance and mentorship even after graduation

Admissions Process

We welcome individuals with analytical mindsets from all backgrounds. No prior AI experience is required - just curiosity about machine learning and commitment to building intelligent systems.

Mathematical Foundation

Basic understanding of mathematics and analytical thinking (programming experience helpful but not required)

Time Commitment

Ability to dedicate 15-20 hours per week for 8 months

What We Look For in Applicants

Creative curiosity and willingness to learn

Attention to detail and analytical mindset

Problem-solving approach and logical thinking

Commitment to completing the intensive program

Student Success Stories

Our ML/AI graduates are now innovating in cutting-edge fields—from building chatbots to powering intelligent systems across Africa and the world.

EO
"Before the bootcamp, I only had theoretical AI knowledge. Now, I've deployed models to production and contribute to real projects at an AI startup."
Emeka Obi
Machine Learning Engineer at Zindi
Zindi
From theory to production-level ML
RR
"Training with real data and tuning models taught me more than months of self-study. I built a facial recognition system as a final project—and that landed me a job."
Rashidat Raji
Computer Vision Specialist at Max.ng
Max.ng
Project-based learning led to job success
BA
"The bootcamp taught me how to work with models, deploy them, and evaluate fairness. I now work on NLP products that serve thousands of users."
Bashir Aluko
NLP Engineer at Kudi.ai
Kudi.ai
Building real-world AI solutions post-bootcamp

Frequently Asked Questions

Considering our Machine Learning / AI bootcamp? Here's what most prospective students ask before applying.

Basic Python and high-school math are helpful, but we teach you everything from the ground up—including how to train and deploy models. We focus more on your analytical mindset and willingness to learn than prior technical experience.

Ready to Start Your AI Journey?

Join our next cohort and transform your analytical skills into a rewarding career in artificial intelligence and machine learning.