AI & Machine Learning Fundamentals Bootcamp

Become AI-literate and future-ready. Master the basics of Artificial Intelligence, Machine Learning, and AI-powered tools. Build intelligent systems and apply AI across any field of study.

12 Weeks - Hands-On - Project-Driven - AI-Powered

coming soon

Advanced Level

Course Instructors

Eteng Eteng

Lead Instructor

John Wilson

Backend Expert

Vivian Effong

Frontend Specialist

What You'll Learn

Understand how AI and Machine Learning work

Prepare data for intelligent systems

Train and evaluate machine learning models

Apply AI across different academic and business fields

Build simple intelligent applications

Use Python and ML libraries professionally

Use Git and GitHub for version control and collaboration

Present AI projects clearly

Use AI tools to generate, debug, refactor, and explain ML workflows

Work faster using modern AI-assisted computing techniques

Preview this course

₦280,000

Enroll Now

This course includes:

12 weeks intensive training
50+ video lessons
5+ Real-world projects
Certificate of completion
Career support & mentorship
Lifetime community access
Live Q&A sessions
Full lifetime access

Course Description

This immersive AI & Machine Learning Fundamentals Bootcamp is designed to equip university students with the essential knowledge and practical skills needed to work with Artificial Intelligence and Machine Learning in any discipline. You'll learn by building intelligent systems using Python, data science tools, and machine learning libraries, while following professional workflows with Git, GitHub, and modern AI-assisted development tools. The course emphasizes hands-on learning, real-world projects, and responsible AI practices. Students are trained to use AI responsibly for code generation, data understanding, model building, evaluation, documentation, and faster problem-solving - the same way modern researchers, engineers, and analysts work today. By the end of the program, you won't just hear about AI - you'll have a strong AI portfolio, real project experience, and the confidence to apply AI techniques in academics, research, startups, business, and future careers.

Requirements

A computer with internet connection (Windows, Mac, or Linux)

Basic understanding of how websites work (helpful but not required)

Passion to learn and build amazing web applications

Commitment of 10-15 hours per week for 12 weeks

Course Curriculum

5 comprehensive modules

AI Foundations & Python for Intelligence

Weeks 1-2 - 8 Lessons

Introduction to Artificial Intelligence & Machine Learning

Real-World Applications of AI Across Industries

Understanding Data, Features & Models

Python Basics for AI & ML

Working with Jupyter Notebooks

Introduction to NumPy & pandas for AI

Introduction to Git & Version Control

Using GitHub for AI Project Management

Data Preparation, Visualization & AI Tools

Weeks 3-5 - 12 Lessons

Data Cleaning & Preprocessing for ML

Handling Missing, Noisy & Categorical Data

Feature Engineering Basics

Exploratory Data Analysis (EDA)

Data Visualization with Matplotlib & Seaborn

Understanding Patterns & Trends

Using Python for Data Pipelines

Structuring AI Projects

GitHub Workflow & AI-Assisted Learning

Using AI Tools to Generate, Explain & Improve Code

Using AI for Data Understanding & Insight Generation

Debugging and Optimizing ML Code with AI Assistance

Core Machine Learning Algorithms

Weeks 6-8 - 10 Lessons

Introduction to Machine Learning Types

Supervised vs Unsupervised Learning

Linear & Logistic Regression

Classification Algorithms (KNN, Decision Trees)

Clustering Algorithms (K-Means)

Model Training & Testing

Evaluating Models (Accuracy, Precision, Recall)

Avoiding Overfitting & Underfitting

GitHub Collaboration & AI-Assisted Model Design

Using AI Tools to Improve Model Performance

Testing and Optimizing ML Pipelines with AI Support

Applied AI, Ethics & Intelligent Systems

Weeks 9-11 - 10 Lessons

Introduction to Neural Networks

Basics of Deep Learning

Natural Language Processing (NLP) Concepts

Computer Vision Fundamentals

Using Pretrained Models

Building Simple Intelligent Applications

AI Ethics, Bias & Responsible Use

Security & Privacy in AI

Team Collaboration Using GitHub

Using AI to Improve Accuracy, Fairness & Performance

Deployment, Portfolio & Capstone Project

Week 12 - 6 Lessons

Presenting AI Projects Professionally

Saving, Loading & Reusing Models

Integrating AI into Applications

Automating AI Workflows

Managing Live AI Projects with GitHub & AI Productivity Tools

Using AI for Documentation, Testing & Explanation

Optimizing AI Systems with AI Suggestions

Best Practices for Maintaining Intelligent Systems

Student Reviews

John Wilson

2 weeks ago

"The best decision I made for my career. The project-based learning approach helped me understand complex concepts easily. Highly recommended!"

Vivian Effong

1 month ago

"Excellent curriculum and amazing support from the instructors. I landed my first developer job just 2 weeks after graduating!"

Frequently Asked Questions

Do I need any prior programming experience?

No prior programming experience is required. This course is designed for complete beginners and takes you from the basics to advanced full stack development.

What happens if I miss a live session?

All live sessions are recorded and made available to you within 24 hours. You'll have lifetime access to all course materials and recordings.

Will I receive a certificate upon completion?

Yes! Upon successful completion of the course and final project, you'll receive a verified certificate of completion that you can share on LinkedIn and your resume.

Do you offer job placement assistance?

Yes! We provide career support including resume reviews, interview preparation, and connections to our network of hiring partners.

What if I'm not satisfied with the course?

We offer a 30-day money-back guarantee. If you're not satisfied with the course within the first 30 days, we'll provide a full refund, no questions asked.

Preview this course

₦280,000

Enroll Now

This course includes:

12 weeks intensive training
50+ video lessons
5+ Real-world projects
Certificate of completion
Career support & mentorship
Lifetime community access
Live Q&A sessions
Full lifetime access