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Overview
The Omdena Capacity Building Program is designed to equip learners with both foundational knowledge and specialized skills in AI and data science, with a focus on addressing climate-related challenges. Over six to eight months, participants will progress through structured learning phases, gradually building expertise and applying their knowledge to real-world problems. The program culminates in hands-on projects, both guided and independent, where learners solve local or global climate challenges.
Climate Change in Tanzania
Tanzania, like many countries around the world, is grappling with the impacts of climate change. Increasingly unpredictable weather patterns and extreme weather events such as heatwaves, heavy rainfall, droughts and floods, which are disrupting the daily lives and futures of many, particularly those in rural areas.
Adapting to these impacts is essential for protecting people, homes, livelihoods, businesses, infrastructure and natural ecosystems, both now and in the future.
This program is aiming to leverage AI to help develop climate adaptation solutions that help protect people, livelihoods and landscapes from the effects of climate change. Participants will be:
- Learning how AI, Data Science and platforms such as Copernicus can be leveraged to develop climate adaptation solutions.
- Applying this knowledge to developing climate adaptation solutions for Tanzania.
- Testing their skills in a pilot project focused on real-world impacts.
About Climate-KIC
Climate-KIC is Europe’s leading climate innovation agency and community, supporting cities, regions, countries and industries to bridge the gap between climate commitments and current reality. In 2022 Climate-KIC (funded by Irish Aid) launched the Adaptation Innovation Cluster in Tanzania, which aims to increase the climate resilience of rural communities through collaboration and innovation. This includes creating an enabling environment that promotes climate solutions throughout the country, stimulating the growth of new green start-ups, innovation and investment.
Program Phases
The Foundation Course provides live online lectures focused on foundational AI concepts, including AI fundamentals, ethics, and real-world applications, specifically crafted for those new to AI and machine learning.
- Goal: Equip learners with foundational data science and AI skills.
- Core Topics: Python programming, data collection, exploratory data analysis (EDA), data visualization, machine learning, and web application development.
- Learning Outcomes: By the end of this phase, learners will develop a Data Science Portfolio Web Application showcasing their acquired skills.
- Assessments: Quizzes, assignments, and a comprehensive end-to-end data science project.
See the details: Foundation Course Content
- Goal: Develop expertise in specific areas of interest related to climate change.
- Topics: Participants will choose 2-3 guided project courses from topics such as Natural Language Processing (NLP), Computer Vision, and Satellite Image Analysis.
- Example Projects:
- NLP Empowered Climate Data Dashboard: Visualizing Climate Change Impacts and Mitigating Nature-Based Solutions
- Building Climate and Credit Risk Scoring for African SMEs With AI
- Optimizing & Deploying Climate and Credit Risk Scoring for African SMEs With AI
- Improving Extreme Weather Forecasts Using AI
- Predicting Climate and Geopolitical Risks for Financing Energy Needs in Africa
See the details: Specialized Learning Course
- Goal: Apply skills to solve local or global climate challenges.
- Execution: Participants work on Omdena’s real-world AI projects, identifying and addressing critical issues faced by local communities or joining international innovation challenges.
- Goal: Offer paid opportunities for top performers.
- Execution: The top 5% of participants may work on paid projects with real customers to optimize or deploy AI applications.
Program Details
- Omdena provides a weekly guide with all resources required for the upcoming week.
- A monthly calendar for each module, including topics, session duration, and instructor information, will be shared.
- 100 participants
- Platforms: Zoom, Microsoft Teams, or G-meet.
- Recording will be available right after the session.
- Materials: GitHub classroom.
- Omdena provides regular updates on your progress to keep everyone informed.
- If you need extra help, Omdena’s instructors are available for additional support and sessions.
- You can access peer-to-peer mentoring through Omdena’s global talent pool.
- You’ll receive a certificate from both Omdena and Climate-KIC upon completing each module.
Disclaimer: Please note that the images showcased are from past events organized in collaboration between Omdena and Climate-KIC. While these highlight our activities, this capacity-building program is conducted entirely online, with the exception of one or two in-person events that may be organized in the coming months.
Features & Benefits
Collaborative Learning Environment
Engage in a community-focused model, exchanging ideas and experiences with peers and instructors for a richer educational experience.
Professional Certificates and Recognition
Receive a Professional Certificate upon completion, validating your skills for career advancement and shareable on social media.
Paid Projects and Job Opportunities
Top performers can access paid projects and job opportunities, with over $1.5 million earned by collaborators so far.
Access to Global Network and Mentorship
Connect with a worldwide AI network and mentors, gaining diverse insights that enhance local projects and practices.
Continuous Learning and Professional Growth
Benefit from ongoing learning through free courses from partners like Dataquest and Datacamp, along with access to datasets, writing opportunities, and job placement recommendations.
Community Engagement and Local Chapters
Participate in local chapters for workshops and meetups, facilitating networking and knowledge exchange within the community.
Join Us Today
Register now for Omdena’s Capacity Building Program for AI-Driven Climate Change Solutions With Climate-KIC starting on January 6, 2025
Don't miss your chance to gain hands-on experience in AI and contribute to real-world projects
that tackle local and global challenges.
Apply by December 2, 2024 at 11:59 (EAT; UTC+03:00) to secure your spot.