AI Robotics Program

  • AI-powered robotics, and in particular the vision-based self-driving car, offers an especially interesting and exciting entry point. Dive into ML/AI with this hands-on program. Train various autopilots from zero. Then apply critical thinking to task these models via prompt engineering on ChatGPT. This program presents you with a tour of the modern AI landscape, from Deep Learning to Generative AI,  while demonstrating fundamental ML principles in action. No coding or math background required.

An Immersive, Productive Learning Experience

  • The vision-based self-driving car presents a uniquely convenient and scalable framework

When building DL models from ground up

  • Unlike most AI applications where the data collection process is painstakingly slow, tedious, and error-prone, a basic self-driving car requires little more than the raw frames captured from a front-facing camera while driving.
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  • Since AI development here revolves around data collection, learners spend bulk of this session driving the RC car around the track to experiment with different strategies that produce the best autopilot outcomes … enjoy!
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When working with GenAI foundation models

  • The pseudo-general intelligence capabilities of Large Language Models (LLMs) elevate the autopilot (via prompt engineering) from fixed-function autonomy to a conversationally taskable service robot — think J.A.R.V.I.S or WALL-E 
  1. Building Deep Learning Vision Models from Ground Up
    • Main focus: Data collection strategies and autopilot training
    • Workflows: Google  Colab Notebooks
  2. Working with Large Language Models (LLM)
    • Main focus: Prompt engineering
    • Generative AI Platform: ChatGPT

Program Objectives

Program Outline

  • Day1: AI Theory and RC Car Driving Practice
  • Day2: Obstacle Avoidance and Racing Autopilot
  • Day3: ChatGPT Prompt Engineering for errand tasking
  • Day4: Service bot integration (autopilot + errand tasking)
  • Day5: Grand Finale, F1 autopilot racing, service bot tasking challenge
  • Prerequisites: None
  • AI Practitioner Level: Beginner
  • Attendance: In-person
  • Requirements: Laptop
  • Fee:
    • Standard Tier @ KSh 12,500
    • Economy Tier @ KSh 7,000
  • Duration:  5 days (Mon-Fri), 2 hrs per day
  • Schedule:
    • Date: 10th Nov
    • Time slots: 12:00am – 2:00pm, 2:30pm – 4:30pm
  • Location: Millennium Work Depot, Karen “C”, Langata Rd