AI

AI & Machine Learning

Understand and build AI and machine learning models from the ground up. Learn Python, scikit-learn, TensorFlow, and modern AI concepts including neural networks, NLP, and computer vision.

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AI & Machine Learning
Course Overview

What You'll Learn

  • Python for machine learning with NumPy and Pandas
  • Supervised and unsupervised learning algorithms
  • Neural networks and deep learning with TensorFlow/Keras
  • Natural Language Processing (NLP) for text data
  • Computer vision with OpenCV and Convolutional Neural Networks
  • Model evaluation, cross-validation, and hyperparameter tuning
  • Transfer learning with pre-trained models
  • Introduction to Large Language Models (LLMs) and prompt engineering

Course Details

LevelIntermediate
Duration16 Weeks
FormatLive Online + Recorded
Certificate✓ Yes
LanguageEnglish
PriceFree
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Curriculum

Course Modules

A structured, hands-on curriculum designed around real industry skills — not just theory.

Module 1: Python for ML
  • NumPy, Pandas, Matplotlib for data preparation
  • Feature engineering and selection
  • Train/test split and data preprocessing
  • Scikit-learn pipelines
Module 2: Classical ML Algorithms
  • Linear and logistic regression
  • Decision trees and random forests
  • Support Vector Machines (SVM)
  • K-means and DBSCAN clustering
Module 3: Neural Networks
  • Perceptrons and feedforward networks
  • Backpropagation and gradient descent
  • Activation functions and regularisation
  • Building neural networks with TensorFlow/Keras
Module 4: Deep Learning
  • Convolutional Neural Networks (CNNs) for image classification
  • Recurrent Neural Networks (RNNs) for sequences
  • Transfer learning with VGG, ResNet, BERT
  • Fine-tuning pre-trained models
Module 5: NLP & Computer Vision
  • Text classification and sentiment analysis
  • Named entity recognition (NER)
  • Object detection with YOLO
  • Building an end-to-end NLP pipeline
Module 6: AI Capstone
  • Build and deploy a complete ML application
  • Option A: Recommendation system
  • Option B: Sentiment classifier API with Flask
  • Model monitoring and retraining strategy
Right Fit

Who This Course Is For

📊
Data Analysts
Analysts ready to advance from dashboards and SQL into predictive modelling.
💻
Software Engineers
Developers adding AI/ML capabilities to their product engineering skill set.
🧠
Curious Learners
Anyone with basic Python knowledge fascinated by AI and its real-world applications.
Your Instructor

Meet Your Instructor

Instructor
Chukwuemeka Adeyemi
Lead AI & ML Instructor

A machine learning engineer with a Master's degree in Computer Science and 6 years of experience deploying ML systems at a Nigerian fintech and a London-based AI startup.

Student Reviews

What Our Students Say

★★★★★

"Thanks to H-Tech Innovations Hub, our workforce has been armed with highly relevant and in-demand tech skills — enabling consultants to stay ahead of big data trends."

Hassan Gray
Hassan Gray
Mobile Developer
★★★★★

"With H-Tech Innovation Hub, employees were able to marry technology and consultant soft skills. Once they took their key IT courses — the results were outstanding."

Emeka Obi
Emeka Obi
Cloud Engineer, Lagos
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