The Machine Learning Full Stack Internship Program (MLFS) presents you with an opportunity to transition from a junior Data Scientist or MLOps Engineer to an AI-enabled software solutions provider

The ML Full-Stack internship program is restricted to candidates who have completed a previous course, program or bootcamp in AI, Machine Learning, Data Science or Data Engineering e.g. HDSC Fellows, certificate holders from Coursera, Udacity, Udemy, DSN etc.

We have the secret sauce to move your career forward

Our programs are packed with features designed to get the best out of your efforts!

Program OfferingsEnrollment Includes
Internship style learningGet to work learning by doing. All of your learning is designed around real world projects
Capstone ProjectYou will work on real-world use case projects selected from multiple tech-enabled sectors
CollaborationYou will collaborate with peers to deliver hands-on projects
Timely FeedbackOur faculty from Hamoye AI Labs will provide you with timely feedback. Your peers can also help unblock you when you are stuck
Short CoursesWe have designed short practical courses to help guide your learning journey
Seminar PresentationsYou will have opportunities to fine-tune your skills in presenting technical subjects to a broad audience
WebinarsYou will get multiple opportunities to interact with industry experts from around the world via webinars
Career CoachingYou will get feedback and advice on best ways to pursue a career in the data analytics field
Certificate of CompletionEarn a certificate of completion at the end but also course certificates as we track your competencies throughout the program
Enhance an online career profileShowcase all your accomplishments and competencies on Hamoye

This is a select program for candidates who have already been introduced to the techniques of machine learning. In this program, you will get the opportunity to build an end-to-end ai-enabled software solution as part of our career incubation program.

Design Thinking

Learn human-centered approach to innovation and get a first-hand experience with the elements of design thinking at each stage of your product design.

Feature Engineering

You will learn to apply features such as texts, audios to represent predictive model and improve model accuracy on unseen data.

Solution Architecture

You will build and integrate systems that meet specific needs, especially with regards to solving problems. You will get first-hand experience in problem-solving technology and balancing the architectural concerns of your choice projects.

Develop UI/UX Framework

You will work with some of the frameworks for building remarkable user interfaces and user experience (UI/UX) such as Design Sprint, Bootstrap, Milligram, Skeleton, UIkit, etc.

Solution Implementation / Demo day

After putting work into all of these, you will get the chance to present your (industry-specific) project before experts in your industry.

Skills to Learn

The ML Full-Stack Internship program offers you an opportunity to boost your career in Machine Learning and as an AI-enabled software solutions provider.You could also hone your skills in:

  • Feature Engineering
  • UI/UX Design
  • Design Thinking
  • Collaboration and cognitive science
  • Solution Architecture

How to be a part of the internship

Do you seek to improve on your coding and machine learning skills?
Do you want a leap in your career?

Congratulations, you are just a few steps away from achieving your goal!

  1. Go to hamoye.com on your computer, tablet, or smartphone
  2. Click on 'Sign Up'
  3. Once your account setup is complete, you can take a short entrance test here. If accepted, you will receive a link to enroll
Download The Internship Handbook here
Download

Career

Talented and skilled professionals in Machine Learning have never been more in demand than now, in fact, the future will only escalate the demand for them as well! A Machine Learning career is not only great in job satisfaction and security; it also promises hefty annual compensation and accelerated career growth. A 2019 Indeed report claimed: Machine Learning Engineer was The Best Job in 2019, with a 344% growth, and an average base salary of $146,085 per year.

Application phaseYear round
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Onboarding phaseWeek 1
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Design thinkingWeek 2
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Feature Engineering on your projectWeeks 3 and 4
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Propose solution architecture for your projectWeeks 5 and 6
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Develop UI/UX wireframes for your projectWeek 7
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Solution ImplementationWeeks 8 to 12
Application phaseYear round
Link
Onboarding phaseWeek 1
Link
Design thinkingWeek 2
Link
Feature Engineering on your projectWeeks 3 and 4
Link
Propose solution architecture for your projectWeeks 5 and 6
Link
Develop UI/UX wireframes for your projectWeek 7
Link
Solution ImplementationWeeks 8 to 12