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Hands-on Starter Program: AI-Driven Robotics for Professionals

4 sessions. Jan 19, 22, 26 & 29th, 2026, 7:00pm - 9:00pm CET

An online course with two 2-hour long sessions per week lasting two weeks (4 two-hour sessions total) providing a hand-on experience in getting started with programming a live remote robot arm to pick-and-place items with AI-driven methodologies.

875 $
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Learn Robotics & AI with Real Robots

Scaleup Robotics Robot
AI and Robotics are currently undergoing transformational change with exciting new career and business opportunities. This compact hands-on course is designed for professionals curious in exploring the current state of the art in AI-driven robotics in a time-efficient and hands-on manner by working with live-streamed robot workcells. This course is taught by experts with a research and education expertise and is an ideal first step to seriously explore AI-driven robotics for your business and career.

Course Requirements

Recommended minimal time commitment besides attending the 2 live sessions per week: 2 hours/week for self-study during the 2-week long course.
No prior robotics or AI/robotics experience assumed.
Coding in-class will be done with prepared Python code-blocks with sample solutions and assistance. Elementary programming abilities are helpful, but not absolutely necessary.

Learning Outcomes

This AI & robotics starter course will provide you with a compact overview and a first hands-on experience of working with robotics in a modern AI-driven approach. This course is ideal for busy professionals interested in exploring the area of AI-driven robotics.

Create your first pick-and-place application on a real robot
Learn about the components of the modern AI robotics approach
Test the limits of deep-learning based object detection on real robots.
Teach a robot to move using imitation learning.
Explore the power and limitations of current technologies.

What is included?

Module 1: Introduction to modern AI-driven Robotics

We provide an introduction of the core components of AI-driven robotics, an overview of the historical perspective and recent ecosystem developments and startups.

Introduction to Robotics, Automation and Aritificial Intelligence. Key technology drivers in 2025 & historical perspective.
Fundamentals of teleoperation and remote programming of a live robot workcell.
Collecting and working with robot training data for training AI algorithms.

Module 2: Reasoning about the World

How can robots reason about the state of the world? We dive into how perception, computer vision, large language and and vision-action-language models are used for robotics.

Robot Perception and Object Detection with Neural Networks
Large Language Models and Vision-Language-Action Models for Robotics
Hands-on case study and discussion with real robots

Module 3: Motion Planning and Imitation Learning

How can a robot reason about its motions? We contrast classical motion planning approaches with more recent imitation learning approaches to this problem.

Motion Planning in Robotics. Illustration for robotic pick-and-place task.
AI-based teaching of robots: From Bayesian to Diffusion-based approaches.
Practical Implementation on a real robot & discussion of challenges.

Module 4: A Robotic Pick & Place Implementation

In this module we bring together the techniques we learned about in a demonstration pick and place implementation on our live robots.

Guided implementation of a pick-and-place solution on a real robot.
Critical discussion of benefits and challenges of AI-based pick-and-place solutions vs classical alternatives.

Module 5: Career and Business Opportunities & The Future

The AI robotics revolution enables many exciting new career opportunities. From machine learning jobs to work on data collection and ethical and legal considerations. We provide an overview of the emerging startup ecosystem and career opportunities.

Startups and Companies at the Forefront of AI-Driven Robotics
Skills needed for the future & Career opportunities
Group discussion and course reflection.

How does this course work?

This course is given fully online.

  • Sign up and purchase your individual ticket using the link at the top of this page.
  • We will send you a course preparation document about a week before the course starts. Preparation for the first session will take no more than 2 hours.
  • We meet twice a week at the scheduled times via video call. During these live sessions, we will have a mix of mini-lectures, group discussions and individual robot programming tasks.
  • After each class you will receive a voluntary preparation task list to review and dive deeper into the material covered. You should reserve 2 hours per week for this preparation.
  • All programming will be done in the browser with our live-streamed robots. We will use prepared Python code blocks, so programming will focus on working with a small amount of code at a time. There is no need for any software installation. You only need a recent version of a browser such as Chrome, Edge or Firefox.
  • We will facilitate networking of interested course participants following the course to build an active community of participants interested in AI-driven robotics.
  • At the end of the course you will receive your completion certificate issued by Scaleup Robotics AB.

Who are the course organizers?

This course is taught by our co-founders themselves, drawing on a combined experience of over 20 years in AI & Robotics research and education with publications at top international venues such as NeurIPS, ICML and IEEE ICRA.

  • Florian Pokorny, PhD

    Co-Founder Scaleup Robotics AB

    Associate Professor

    KTH Royal Institute of Technology

  • Muhammad Zahid

    Co-Founder Scaleup Robotics AB

    Robotics and Systems expert, studied at KTH and American University of Sharjah