Women Ascension AI & STEAM Fellowship

Features

Key Features

Fellowship Impact

Outcomes

Digital literacy

Ethical AI Understanding

Readiness for Tech / STEM Roles

Innovation Network

Modules

Programme Modules Overview

Module 1 – Real-World AI Applications (Week 1)

Explore how AI is applied across critical sectors like health and education, with attention to social impact and ethics. Skills developed: systems thinking, ethical reasoning, applied AI awareness.

Practical output: case-based discussion on AI use and reflection on responsible applications.

Module 2 – STEM Without Borders (Week 2)

Learn to leverage STEM to tackle global and environmental challenges. Core focus on cross-border innovation, climate-responsive solutions, and systems thinking. Skills developed: global problem-solving, innovation mindset, sustainability literacy.

Practical output: problem–solution ideation exercise and global challenge mapping.

Module 3 – Introduction to Agentic AI (Week 3)

Understand autonomous and agent-based AI systems, including decision-making workflows and human–AI collaboration. Skills developed: conceptual AI design, human–AI interaction literacy.

Practical output: conceptual design of an AI agent use case.

Module 4 – Python for Beginners (Week 4)

Build foundational programming literacy with Python. Learn basic logic, syntax, and computational thinking. Skills developed: coding fundamentals, logical reasoning, digital confidence.

Practical output: simple Python scripts and hands-on coding practice.

Module 5 – Introduction to Data (Week 5)

Learn to structure, interpret, and analyze data. Explore datasets, variables, and pattern recognition. Skills developed: data literacy, analytical thinking.

Practical output: data exploration worksheet and basic data analysis exercise.

Module 6 – No-Code AI with Canva (Week 6)

Democratize AI with accessible no-code tools. Focus on Canva AI for visual automation and creative workflows. Skills developed: no-code innovation, creative technology use.

Practical output: AI-assisted design project sample.

Module 7 – Beginner-Friendly Machine Learning (Week 7)

Discover machine learning without coding barriers. Learn basics of image and sound recognition, and model training with Teachable Machine. Skills developed: model awareness, ethical ML understanding.

Practical output: trained ML model demo and reflection on ethical ML use.

Module 8 – Building a Chatbot (Week 8)

Understand conversational AI systems, including chatbot logic and user interaction design. Skills developed: UX thinking, conversational design.

Practical output: chatbot demo or system flow outline.

Module 9 – Project Framing & Selection (Week 9)

Translate learning into impactful projects. Focus on problem identification, project scoping, and alignment with real-world needs. Skills developed: project planning, strategic thinking.

Practical output: approved individual or team project concept note.

Module 10 – Mentorship & Project Design (Weeks 10–11)

Refine project ideas with guidance from mentors. Learn design thinking, feasibility analysis, and user-centered planning. Skills developed: critical feedback integration, research and design skills.

Practical output: refined project proposal and mentor review notes.

Module 11 – Capstone Development (Weeks 12–13)

Build and test your project solutions through prototyping, iteration, and AI/data tool integration. Skills developed: applied problem-solving, technical execution.

Practical output: working prototype or pilot solution.

Module 12 – Impact, Ethics & Scaling (Weeks 14–15)

Prepare projects for real-world impact. Focus on ethical review, impact measurement, and sustainability planning. Skills developed: responsible innovation, impact assessment.

Practical output: impact & ethics brief and scaling/sustainability plan.

Module 13 – Capstone Presentation & Reflection (Week 16)

Showcase your learning, leadership growth, and project outcomes. Learn storytelling, presentation, and peer learning techniques. Skills developed: leadership communication, professional confidence.

Practical output: final capstone presentation and reflective learning portfolio.