Special Track

Thrive 8-Week Data Science (ML and AI) Internship

Turn your machine learning and ai knowledge into real-world experience.

GH₵200

GH₵100.00

Enroll Now

70k+

Students Helped

to build high-paying, in-demand careers

What You'll
Build

Data cleaning and preprocessing pipelines for a real dataset

Exploratory data analysis (EDA) reports with insights

Build and test Machine Learning Models for a business use case

Build interactive dashboard and visual summaries

How the Program Works

8 Weeks of Structured Learning

Project-based learning with a clear roadmap to success.

Weekly Workshops

Led by lead industry mentors to guide your learning journey.

Bi-Weekly Masterclasses

Learn from invited guest experts in your field.

Dedicated Project Support

Daily Q&A sessions with assigned project managers and industry mentors.

Group & Individual Projects

Collaborative sprints plus solo deep-dives for comprehensive learning.

Real-Time Support

Daily and timely feedback on tasks and projects.

Peer Review

Structured reviews to refine deliverables and improve quality.

Real-World Client Project

Your group work is deployed in production, not shelved.

What You’ll
Learn

Over 12 weeks, you’ll build skills that mirror real-world data analyst workflows — from data cleaning to client presentations.

Gather raw data and write preprocessing scripts to ensure accuracy and consistency

Perform EDA and craft insightful visual reports to discover patterns and trends

Build, train, and test machine learning models to solve real‑world problems

Assess model performance and fine‑tune hyperparameters for optimal results

Design interactive dashboards and visual summaries that communicate your findings clearly

Polish your LinkedIn profile, refine your CV, prepare for interviews, and leverage AI tools for workplace success

Build and deploy client-facing project

Program
Objectives

Bridge foundational Machine Learning and AI knowledge to applied data science practice

Build confidence in collaboration, technical communication & problem-solving

Deliver portfolio-ready work that stands out to employers

Expected
Outcomes

A polished project portfolio & professional profile

Ability to present technical work to both technical and non-technical audiences

Certification and LinkedIn endorsement to validate your skills

Skills & Tools
Covered

Programming: Python (Pandas, NumPy, scikit-learn)

Notebooks and IDEs: JupyterLab, VsCode

Data formats & storage: CSV, JSON, Parquet

Visualization: Matplootilb, Seaborn, Plotly

Version control and environments: Git/GitHub, Conda

Big-data intro: Spark or Dask Fundamentals

Real-World, Career Readiness

Business Writing & Communication: Develop workplace-ready reports and presentations
Generative AI for Work: Leverage AI tools to boost productivity and insights
LinkedIn Profile Optimization: Strengthen your professional brand and visibility
CV Review & Interview Preparation: Expert feedback to refine job applications
Industry Showcase: Pitch your completed projects to employers and industry leaders

Who It’s For

University Students

looking to gain practical, hands-on experience.

Self-taught Learners

who have completed online courses but need proof of skills.

Graduates and Professionals

ready to build real projects and get noticed by employers

Career Switchers

who want to build a portfolio in a new field

At Thrive internship, we’re on a bold mission to unlock digital skills, practical work experience, and career readiness for 1 million Africans by 2026.All of this is sustained through a one-time, low-cost administrative fee helping us keep the program accessible to everyone, regardless of background.
Mission-Backed, Not Profit-Driven

Admission
Requirements

To join this internship, you should have:

Students of Thrive Africa Machine Learning and AI Program