Frequently Asked Questions

Ngao Labs is a community-led, peer-to-peer data science and AI training initiative based in Kenya. We provide intensive, hands-on training to bridge the digital skills gap and empower aspiring tech professionals to build meaningful careers in data science and artificial intelligence.

Yes! Ngao Labs is completely tuition-free. There are no hidden fees, no application costs, and no charges for course materials. Our mission is to make quality tech education accessible to everyone, regardless of financial background.

The program runs for 10 intensive weeks, divided into two phases. Phase 1 (Weeks 1-5) covers foundations including Python programming, data analysis, and statistical methods. Phase 2 (Weeks 6-10) focuses on advanced topics like machine learning, AI ethics, and capstone projects.

Expect to commit 15-20 hours per week, including live sessions, hands-on projects, peer collaboration, and self-study. Live sessions typically run during the day (8:00 AM - 5:00 PM) (Kenya time).

We welcome applications from anyone passionate about data science and AI, especially if you are from science, technology, engineering, or math (STEM) related fields. While based in Kenya, our primary focus is on supporting local talent. Ideal candidates include:

• Recent graduates in STEM or related fields
• Career changers looking to transition into tech
• Self-taught learners seeking structured guidance
• Professionals wanting to upskill in data science

You should have:

• Basic computer literacy and comfort with technology
• Strong motivation and commitment to learning
• Access to a laptop/computer and reliable internet
• Basic understanding of college level mathematics and statistics
• Basic programming experience is required (e.g. Python, Java, C++, etc.)

Applications for Cohort 2 are now open! Live sessions begin on February 2, 2026. The application deadline is Friday, January 16, 2026 at 5:00 PM EAT. Apply early as spaces are limited to 25-30 students.

To maintain quality and ensure personalized attention, we typically accept 25-30 students per cohort. This allows for effective peer-to-peer learning and strong community bonds.

After submitting your application, our team reviews each candidate based on motivation, commitment, background, and fit with our community values. Shortlisted applicants may be invited for a brief interview. We prioritize candidates who demonstrate genuine passion and dedication to learning.

Our comprehensive curriculum includes:

• Foundations: Python programming, data structures, NumPy, Pandas
• Data Analysis: Statistical methods, data cleaning, EDA
• Visualization: Matplotlib, Seaborn, storytelling with data
• Machine Learning: Supervised/unsupervised learning, model evaluation
• AI & Ethics: Responsible AI, bias reduction, ethical frameworks
• Capstone Project: End-to-end real-world project

Ngao Labs emphasizes collaborative learning. You'll work in small groups on projects, participate in code reviews, and help each other overcome challenges. This approach builds both technical skills and teamwork abilities valued by employers.

Yes! Upon successful completion of the program and your capstone project, you'll receive a certificate of completion from Ngao Labs and a digital badge to showcase your skills on your LinkedIn profile. You'll also have a portfolio of projects to showcase to potential employers.

We use industry-standard tools including Google Colab (for coding), Discord (for community), Kaggle and Zindi (for competitions), GitHub (for version control), and various data science libraries. All tools are free to use.

Graduates receive ongoing support including job referrals, portfolio reviews, interview preparation, and networking opportunities. We maintain connections with employers seeking data science talent.

Top-performing graduates with exceptional capstone projects may be invited to join our Incubation Programme. This provides mentorship, resources, and support to develop their projects into market-ready solutions or startups.

Absolutely! Our alumni network remains active through Discord, regular meetups, and community events. Many graduates also return as mentors for future cohorts.