ML Training: Complete educational training in Machine Learning Theory

1. Deep Learning Specialization
A specialized training program in deep learning created by Andrew Ng, one of the founding members of Google Brain and a co-founder of Coursera, and his colleagues. It consists of five courses with lectures imparting professional knowledge as well as insights and advice from the experiences of industry leaders.

• This training component is in English and is a requirement of the program.
• While you must study on your own to complete this training, we will provide online groups and mentoring opportunities to help with the process.
• Google will fund the cost associated with this training.
• Participants completing this training will receive a completion gift.

2. ML Certificates: Complete a machine learning certification

TensorFlow certificates: This certificate can demonstrate your deep learning and machine learning (ML) problem-solving skills.

GCP Professional Data Engineer certificates: This certification exam assesses your ability to design data processing systems, process architect data, build systems and operationalize machine learning models, and ensure solution quality.

GCP Professional ML Engineer certificates: This certification exam assesses your ability to frame ML problems, architect solutions, design data preparation and processing systems, develop models, automate and orchestrate pipelines, and monitor, optimize, and maintain ML solutions.

• You must complete at least one of the above certifications.
• The exams are in English.
• While you must study on your own to complete your certification, we will provide online groups and mentoring opportunities to help with your preparation.
• Google will fund the cost of the TensorFlow Certification exam.

3. ML Practice: Participate in Kaggle Competition

Kaggle is a platform for competitions where data scientists from all over the world come together to demonstrate their skills and earn prizes and fame. Experiencing real or close-to-real cases by participating in a Kaggle competition will provide a chance to see how much you have learned from the Deep Learning Specialization and ML certification.

• All communications on Kaggle will be in English.
• While you must take the initiative to find members and decide on the data and theme for your project, we will provide some mentorship with general guidance.
• Participants completing this training will receive a completion gift.

4. ML Network: Make connections with ML companies and apply for employment

Gebeya, the premier Pan-African talent marketplace, will facilitate virtual Tech Talk, Career Talk and Meet up sessions with tech companies looking for ML developers where you can gather insights from real-life examples as you prepare a career as a ML developer.

• Tech Talk: Participating companies introduce their technology and share what it’s like to work as developers. You will get to hear from current practitioners about their workplace and find out more about the companies you’ll apply for.
• Career Talk/Resume Clinic: One of the common challenges of looking for a new job is creating an impressive work portfolio. Experts in the field will explain and give advice on how to build your long-term career and how to manifest that in your resume instead of merely listing qualifications acquired over a short time.
• Meetup: You will get to meet and communicate with experts from the training component, specialized ML developers, and other participants of the program, finding answers and inspirations about the field.

How Long will the Program Last?

August 1, 2022, 9:00 AM GMT+1 – 10:00 AM GMT+1

How to Apply for Scholarship?

If you are in Sub-Saharan Africa  and want to apply for this program, please read the descriptions and submit this form before July 16th 2022.

Please, visit the official website for more details.