Get trained for careers in
Artificial Intelligence
A program designed to help reduce gender inequalities in the digital sector by providing training and support 1,000 African women in the fields of Artificial Intelligence (AI) and Big Data.
Key Program Objectives
WIADA trains talented women to become competitive professionals, capable of thriving in the global job market and in digital entrepreneurship.
Advanced Technical Skills
To train data analysts, data scientists, data engineers, and AI developers who are competitive in the global market.
Intensive TrainingEmployment Inclusion
To provide employment and entrepreneurship opportunities in African, European, and North American companies.
Jobs & StartupsReducing Gender Inequality
Encourage greater participation by women in the AI and big data sectors across the continent.
Societal ImpactTwo Areas of Excellence
Specialization
Artificial
Learn the fundamentals of AI, machine learning algorithms, deep learning, natural language processing, computer vision, and deploying models in production.
Specialization
Data Engineering
Master data analysis tools, storage architecture, AWS cloud technologies, ETL pipelines using PySpark, Docker, Kubernetes, and real-time Kafka streams.
Practical skills focused on employability
Intensive Training
Hands-on, interactive courses taught by experts in AI and Big Data who are currently working in the field.
Concrete Projects
Work on real-world projects to build a solid professional portfolio right from the start of your training.
Coaching & Mentoring
Personalized guidance from industry professionals throughout your journey.
Networking
Connect with other women who are passionate about tech and expand your international professional network.
9 months to become an expert
3 months of core curriculum + 3 months of specialization + 3 months of a project supervised by partner companies.
The core curriculum (3 months) lays the essential foundations in programming, data manipulation, and data visualization. It is required for all participants before they choose their specialization.
| Module | Contents |
|---|---|
| Python Programming | Variables, functions, data structures, algorithms—a comprehensive introduction. |
| Tools & Versioning | Development Environments and Version Control with Git / GitHub. |
| Data Manipulation | Processing Structured Data with NumPy and Pandas. |
| Data Visualization | Create compelling visualizations with Matplotlib, Seaborn, and Plotly. |
The AI Developer Specialization (3 months): artificial intelligence, machine learning, and deploying models into production.
| Module | Contents |
|---|---|
| OOP with Python | Object-oriented programming concepts applied to AI. |
| ML Mathematics | Mathematical foundations required for machine learning. |
| Machine Learning | Supervised and unsupervised learning — regression, classification, clustering. |
| Deep Learning | Advanced Neural Networks — CNNs, RNNs, Transformers. |
| NLP — Text Mining | Natural language processing and large-scale text analysis. |
| Computer Vision | Machine learning applied to image analysis and recognition. |
| Streamlit & APIs | Interactive web applications and RESTful APIs with Flask / FastAPI. |
| Chatbots & AI Agents | Creating intelligent chatbots and exploring autonomous AI agents. |
| Deployment & MLOps | Deployment of models in production and management of their lifecycle. |
The Data Engineer Specialization (3 months): large-scale data management, distributed systems, and real-time data streams.
| Module | Contents |
|---|---|
| OOP & Scala | Object-Oriented Programming + Scala for Big Data Applications. |
| SQL & PostgreSQL | Advanced queries and interaction with PostgreSQL databases using Python. |
| Web Scraping | Extraction and structuring of data from web sources. |
| Data Lake & Data Warehouse | Large-scale storage and data warehouse design. |
| ETL with PySpark | ETL pipelines for distributed Big Data processing. |
| Docker & Kubernetes | Containerization and orchestration of scalable deployments. |
| Kafka Streaming | Real-time Data Flow Management with Apache Kafka. |
| AWS Cloud | AWS Services for Cloud Computing and Data Infrastructure. |
| MLOps | Full lifecycle of ML models in a production environment. |
Access international opportunities
Global Network
Job and collaboration opportunities with leading organizations in Africa, Europe, and North America.
Career Opportunities
Internships, jobs, and entrepreneurship opportunities in the field of AI and Big Data with our active partners.
Reducing Inequality
Become an inspiring role model for the next generations of women in Africa's digital sector.
Why Choose WIADA?
4 reasons why WIADA is a unique program in French-speaking Africa.
to be trained
Our First Award Winners
They were the first to reach this milestone. Learn about their journeys and watch their video testimonials.
Gender Equality in Tech
When you join WIADA, you become more than just a student— you become a role model, a mentor, and a leader.
Breathe in
Share your story and inspire the next generation of women in African tech.
Mentor
Support other women on their technological journey and share what you've learned.
Network
Connect with women who are passionate about tech across Africa and around the world.
Lead
Become a recognized leader and an advocate for gender equality in tech.
Ready to join the WIADA community and change the face of tech in Africa?
Join WIADA 2FAQ - WIADA 2
Everything you need to know before applying.
Our Partners & Supporters
WIADA relies on a strong network of partners committed to digital inclusion for women in Africa.
You are Inspired?
Become an ambassador!
Become one of the next ambassadors for the Women IA & Data Academy and make an impact on Africa's digital world.
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