Google SSA Developers Machine Learning Bootcamp 2022 for Young Africans


Application Deadline: July 16, 2022

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

The aim of this program is that the participants study theories of machine learning and ultimately become able to solve technical problems in real work situations. Google offers a self-study environment and various opportunities to boost your motivation.

Screened participants must complete deep learning training, an 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 an internship at companies that provide machine learning services.


  • You have basic programming experience in Python.
  • Given the purpose of this program, your personal goal should be to find work as a full-time employee or intern at an IT company or a startup.
  • If you are only interested in learning about machine learning, this program is not for you.
  • You must not have previously 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 should be good enough to understand the training components listed above as they are taught in English without an interpreter service.
  • The entire program takes about 4 months. You must be willing to work hard and learn in this time.
  • While we will host online meetings and provide some mentoring to encourage your studies, you will have to learn it on your own.
1. ML Training: Complete educational training in Machine Learning Theory

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

  • This course is in English and is a requirement of the program.
  • While you will need to 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 costs associated with this training.
  • Participants who complete this training will receive a completion gift.
2. ML Certificates: Obtain 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, devise solutions, design data preparation and processing systems, develop models, automate and orchestrate pipelines, and monitor, optimize and maintain ML solutions.

  • You must obtain at least one of the above certifications.
  • The exams are in English.
  • Although you must study alone to earn your certification, we offer online groups and tutoring opportunities to help you prepare.
  • Google will fund the cost of the TensorFlow certification exam
3. ML Exercise: Join the Kaggle Competition

Kaggle is a competition platform where data scientists from around the world come together to demonstrate their skills and earn awards and fame. Experiencing real or near-real cases by participating in a Kaggle competition is an opportunity to see how much you have learned from the Deep Learning specialization and ML certification.

  • All communication on Kaggle will be in English.
  • While you should 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 who complete this training will receive a completion gift.
4. ML Network: Connect with ML companies and apply for a job

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

  • Tech Talk: Participating companies introduce their technology and share what it’s like to work as a developer. You’ll hear from current practitioners about their workplace and learn about the companies you’re applying to.
  • Career Talk/Resume Clinic: One of the most common challenges when looking for a new job is creating an impressive work portfolio. Experts in the field will explain and offer advice on how to build your career long term and how to show that on your resume rather than just listing the qualifications acquired in a short period of time.
  • Meetup: You meet and interact with experts from the training component, specialized ML developers and other program participants, and find answers and inspiration about the field.


  • Registration: July 4 – July 16, 2022
  • Announcement: July 27, 2022
  • Start program: August 1, 2022
  • Program ends: November 25, 2022

Things to consider

  • The results will be announced on July 27, 2022.
  • Applicants will be contacted individually. All communications will be sent to the email address you provide.
  • Before applying, please check that the training components offered in this program are appropriate for your level.
  • The application includes a test to assess the applicant’s ability to cope with the difficulty of the program.
  • Make sure you have enough time before applying.
  • There will be no separate acknowledgment of your application other than an e-mail 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

Leave a Comment

Your email address will not be published.