Programme Architecture & Overview
Gain practical skills in statistical inference, regression, classification, feature engineering, and model deployment.
Build Real Systems
Practical weekly coding labs, CI/CD automated deployments, and a production capstone.
Practitioner Review
Interactive sessions with working senior engineers. Personalized feedback on all PRs.
Verified Evidence
Graduate with a GitHub portfolio and verifiable certificate accessible to global employers.
What You Will Build & Master
Exploratory data analysis with Pandas & Seaborn
Supervised and unsupervised learning models
Feature engineering and model evaluation
Deploying ML models as APIs
Who This Track Is For
- • Data analysts expanding to ML
- • Software engineers learning data science
Requirements & Prerequisites
- • Basic Python or programming familiarity
Course Curriculum & Weekly Syllabus
Hands-on modular progression designed for direct capability transfer.
Comprehensive lecture modules and weekly coding laboratory schedules will be synchronized prior to cohort orientation.
Faculty Instructor
En
Engr. David Okonjo
Lead Software Engineer & Cloud Architect
Senior Engineering Lead with 11+ years designing distributed systems, cloud infrastructure, and training over 2,500 software developers across Africa.
Capstone Project & Cryptographic Certification
Graduation requires completing practical coursework, assessments, and an evaluated capstone project. Upon successful review by faculty, an Arc IT Certificate of Completion is issued with a unique cryptographic verification code.
Certificates can be publicly verified anytime by employers at arcit.online/verify.
Tuition Investment
$300.00 USD
All tuition includes full curriculum, labs & certification
Secure card, bank transfer & USD checkout
Instant student OS portal provisioning
Admissions support hotline available