Google SSA Developers Machine Learning Bootcamp 2022 for young Africans


Application deadline: July 16, 2022

is a program for those who want to become machine learning developers.

The goal of this program is for participants to study machine learning theories and eventually become capable of solving engineering problems in real-world business situations. Google will provide a self-learning environment and various opportunities to sharpen your motivation.

Selected participants must undergo deep learning training, ML certification and a hands-on project in 4 months. Those who complete them all will have the opportunity to apply for full-time employment or intern positions at companies that provide services involving machine learning.


  • You should have basic Python programming experience.
  • Given the focus of this program, your personal goal should be to find employment with an IT company or startup as a full-time worker or intern.
  • If you just want to learn more about machine learning, this program is not for you.
  • You must not have completed any of the training components offered in this program (Coursera Deep Learning Specialization, TensorFlow Certification, GCP Professional Data Engineer Certification, and GCP Professional ML Engineer Certification).
  • Your English comprehension skills must be good enough to understand the training elements mentioned above, as they are delivered in English without interpretation service.
  • The whole program will take about 4 months. You must be prepared to work hard and learn during this time.
  • Although we set up online meetings and provide mentorship to encourage your studies, you must learn on your own.
1. ML Training: Complete educational training in machine learning theory

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

  • This training component is in English and is a requirement of the program.
  • Although you must study on your own to complete this training, we will provide online groups and mentoring opportunities to help you through the process.
  • Google will fund the cost associated with this training.
  • Participants who complete this training will receive a completion gift.
2. ML Certificates: Complete a machine learning certification

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

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 the quality of solutions.

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

  • You must complete at least one of the above certifications.
  • Exams are in English.
  • Although you must study on your own to complete your certification, we will offer online groups and mentoring opportunities to help you prepare.
  • Google will fund the cost of the TensorFlow certification exam.
3. ML practice: Participate in the Kaggle contest

Kaggle is a competition platform where data scientists from around the world come together to demonstrate their skills and win prizes and fame. Experiencing real or near-real cases by participating in a Kaggle contest will give you the opportunity to see everything you have learned through the Deep Learning specialization and ML certification.

  • All communications on Kaggle will be in English.
  • Although you must take the initiative to find members and decide on the data and the theme of your project, we will provide you with mentorship with general advice.
  • Participants who complete this training will receive a completion gift.
4. ML Network: Connect with ML companies and apply for jobs

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

  • Tech Talk: Participating companies showcase their technology and share what it’s like to work as developers. You will have the opportunity to hear from current practitioners about where they work and learn more about the companies you will apply for.
  • Career Talk/Resume Clinic: One of the common challenges of finding a new job is creating an impressive portfolio of work. Experts in the field will explain and give advice on how to build your career for the long term and how to manifest it in your CV instead of just listing qualifications acquired in a short period of time.
  • Meetup: You’ll meet and connect with training component experts, specialist ML developers, and other program participants, finding answers and inspiration in the field.


  • Application: July 4 – July 16, 2022
  • Announcement: July 27, 2022
  • Program start: August 1, 2022
  • End of program: November 25, 2022

Things to consider

  • The results will be announced on July 27, 2022.
  • Candidates will be contacted individually. All communications will be sent to the email address you provide.
  • Before applying, check and ensure that the training components offered in this program are suitable for your level.
  • The application includes a test to assess how well the candidate can handle the difficulty of the program.
  • Make sure you have enough time before you start applying.
  • There will be no separate acknowledgment of your application other than an email confirming your application once you have completed your application.

For more information:

Visit the Official Webpage of the Google SSA Developers Machine Learning Bootcamp 2022


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