Artificial Intelligence & Machine Learning
Build Intelligent Systems, Predictive Models, and AI-Powered Solutions at HighUpWeb Academy
The 12-Month Diploma in AI & ML equips students to develop intelligent applications, predictive models, and AI-driven solutions across industries.
Students will gain expertise in machine learning algorithms, neural networks, data preprocessing, AI modeling, and deployment of intelligent systems.
Graduates will leave with a portfolio of AI/ML projects, ready for careers as AI/ML Engineers, Data Scientists, AI Analysts, or Freelance AI Developers.
Program Highlight
About Programs
This diploma combines hands-on projects, theoretical foundations, and AI-enhanced tools. Students will:
Learn AI concepts, supervised and unsupervised learning, deep learning, and model deployment
Use Python, TensorFlow, PyTorch, and AI frameworks to build predictive models
Work on real-world datasets to create intelligent solutions
Build a professional portfolio demonstrating AI/ML expertise
Graduates are career-ready, capable of supporting businesses, research projects, or freelance AI consulting.
Typical Program Structure
Duration: 12 Months
Training Format: Instructor-led + Hands-on Labs + Projects + Capstone
Phases:
- Foundation Phase – AI & ML concepts and Python programming
- Data Preprocessing & Exploration Phase – Preparing datasets for modeling
- Machine Learning Phase – Supervised and unsupervised learning
- Deep Learning & Neural Networks Phase – Advanced AI modeling
- AI Deployment & Automation Phase – Integrating AI models into applications
- Capstone & Portfolio Phase – Real-world AI/ML projects
Curriculum Overview
“Our curriculum equips students to build intelligent applications, predictive models, and AI-driven systems using modern tools and frameworks. Students complete projects that demonstrate technical proficiency and portfolio readiness.”
Curriculum Breakdown Summary
Foundation Courses – AI & Python Programming
Objective: Build a strong foundation in AI concepts and programming for machine learning.
Topics & Skills:
Introduction to AI, ML, and data science
Python programming for AI: NumPy, Pandas, Matplotlib
Basics of algorithms and logic
AI Tools: Python AI libraries, Jupyter Notebook
Hands-On Projects:
Write Python scripts for basic AI tasks
Explore datasets and perform simple analysis
Data Preprocessing & Exploration
Objective: Prepare and clean data for effective AI modeling.
Topics & Skills:
Data cleaning, normalization, and transformation
Exploratory data analysis (EDA) and visualization
Handling missing values, outliers, and categorical data
AI Tools: Automated data cleaning, feature selection, and preprocessing
Hands-On Projects:
Clean and structure a dataset for ML modeling
Visualize trends and patterns using Python or Tableau
Machine Learning – Supervised & Unsupervised Learning
Objective: Build predictive models using classical machine learning algorithms.
Topics & Skills:
Supervised learning: regression, classification
Unsupervised learning: clustering, dimensionality reduction
Model evaluation: accuracy, precision, recall, F1 score
AI Tools: Automated ML, hyperparameter tuning
Hands-On Projects:
Build a predictive model for customer behavior
Implement clustering for market segmentation
Deep Learning & Neural Networks
Objective: Build advanced AI models using deep learning techniques.
Topics & Skills:
Neural networks, CNNs, RNNs, and LSTM
TensorFlow and PyTorch for model development
Image recognition, NLP, and AI-driven solutions
AI Tools: Pre-trained models, AI optimization frameworks
Hands-On Projects:
Build a neural network for image or text classification
Train and evaluate deep learning models on real datasets
AI Deployment & Automation
Objective: Integrate AI models into applications and automate workflows.
Topics & Skills:
Model deployment on cloud or web platforms
API integration and application of ML models
Automation with AI pipelines
AI Tools: Flask, FastAPI, cloud AI services, automated inference
Hands-On Projects:
Deploy a predictive model as a web application
Automate predictions and real-time analytics
Capstone Project & Portfolio Development
Objective: Apply all skills to real-world AI/ML projects.
Capstone Components:
Collect, clean, and analyze a real-world dataset
Build a predictive or intelligent application using ML/DL
Deploy the model with AI-driven features
Present a professional portfolio demonstrating AI/ML proficiency
Skills Developed:
End-to-end AI & ML project development
Deployment, automation, and performance optimization
Professional portfolio creation
Freelance, corporate, or research career readiness
Program Outcomes
By the end of this diploma, students will:
Master AI concepts, machine learning, and deep learning
Use Python, TensorFlow, PyTorch, and AI frameworks effectively
Build and deploy real-world AI/ML applications
Develop a portfolio of intelligent projects
Be ready for careers as AI/ML Engineers, Data Scientists, AI Analysts, or Freelancers
Certification
HighUpWeb Academy Professional Diploma in Artificial Intelligence & Machine Learning
Recognized by the Ministry of Employment and Vocational Training
Validates technical competence, AI proficiency, and professional readiness
Optional Online Certifications:
Microsoft Certified: Azure AI Engineer Associate
Google Professional Machine Learning Engineer
TensorFlow Developer Certificate
LinkedIn Learning / Coursera AI & ML Certificates
Programs Cost
Our program fees are designed to be transparent, competitive, and accessible for learners from all backgrounds, covering tuition, registration, and essential learning resources to ensure high-quality, hands-on training. We offer exclusive benefits, including Free Driving Lessons for all students and a course bundle discount, register for two courses and pay registration for only one, saving over 25,000 XAF.
For learners who are IDPs or cannot afford the fees, you can apply for a fully funded scholarship via the HighUpWeb Foundation website, and our team will review your application and guide you through the next steps. With modern facilities, expert instructors, and industry-aligned programs, we ensure that your investment in education is meaningful, practical, and future-focused.
| Program | Registration | Tuition | Total |
|---|---|---|---|
| Artificial Intelligence & Machine Learning | 25000 FCFA | 100,000 FCFA | 125,000 FCFA |
Requirements and Deadlines
At HighUpWeb Academy, we welcome all aspiring tech learners, regardless of prior IT experience or academic certificates. Our 3- to 4-month programs are specifically designed to take beginners from foundational concepts to advanced proficiency in their chosen field of study.
We offer training in both English and French, and our bilingual instructors ensure that all students, regardless of their primary language, attend the same integrated classes. This approach not only fosters collaboration and cultural exchange but also gives students the unique opportunity to learn or improve their second language, French for English speakers, and English for French speakers, while mastering their technical skills.
Registration is open to anyone eager to learn, and our inclusive, hands-on programs are structured to prepare every student for real-world digital careers and professional success.
Apply Now
Join HighUpWeb Academy and take the first step toward building practical skills and advancing your career.