Online Course

Intermediate Generative AI for Robotics

Master cutting-edge Generative AI models for robotics

Course Overview

In this course, you’ll explore generative AI at an intermediate level, blending theory with hands-on practice.

You’ll master advanced techniques such as imitation learning, diffusion-based models, and state-of-the-art transformer architectures, gaining practical skills to solve real-world robotics challenges.

What You Will Learn

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Data Generation and Collection for Generative AI

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Imitation Learning

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Diffusion-Based Models

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Detection Transformers (DETR)

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Vision Transformers (ViT)

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100% Online

No ROS setup is required. Everything is online.

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Intermediate Level

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Approx. 12 hours to complete

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Prerequisites

Simulated Robot Used

Mars Rover Explorer

Course Final Hands-on Project

In the final project, you’ll develop a visual navigation pipeline incorporating object detection with a Mars Rover Explorer.

START LEARNING

Final_project_Intermediate_generative_ai

Syllabus

Unit 1: Intro

In this unit, you will gain comprehensive insights into the core themes and objectives of the Intermediate Generative AI course through a hands-on demo set in a simulated Mars exploration scenario.

Unit 2: Imitation Learning

In this unit, you’ll gain a comprehensive understanding of imitation learning, with a focus on the Behavioral Cloning algorithm.

You will learn the following:

The Fundamentals of Imitation Learning
Data Collection for Imitation Learning
The Behavioral Cloning Algorithm
Evaluation of Imitation Learning in Unknown Environments

Unit 3: Diffusion Models

In this unit, you’ll master diffusion models, a class of generative models, by exploring their theoretical foundations and practical applications in depth.

You will learn the following:

The Fundamentals of Diffusion Models
Data Preprocessing and Encoding for Diffusion Models
Adding Heuristics for Navigation
Evaluation of Diffusion Models in Unknown Environments

Unit 4: Transformers

In this unit, you’ll master transformers, a class of genAI models that are ruling the internet these days.

You will learn the following:

The Fundamentals of Transformers
Key Elements of Transformers: Attention to Encoding
Different Types of Positional Encodings
Implementing Transformers for Object Detection on Mars

Unit 5: Real-Time Decision Making

In this unit, you’ll master how vision transformers, a class of Generative AI algorithms, can be used for real-time decision-making in dynamic path adjustment.

You will learn the following:

The Fundamentals of Vision Transformers
Key Elements of Vision Transformers
Implementing Vision Transformers for real-time decision-making while navigating on Mars

Unit 6: Capstone Project

In the final project, you’ll develop a visual navigation pipeline incorporating object detection with a Mars Rover Explorer.

What our students think

“I am wholeheartedly grateful for this outstanding opportunity. I wouldn’t have found a better ROS beginner-friendly course elsewhere. Thanks, ConstructSim !“

Francois Gonothi Toure

“I have tried to start learning ROS before and that was so difficult because I didn’t understand how to start, now with these introductory courses I am very excited because I can finally start to enter this world.“

Daniel Martínez

“I really enjoy the practical aspect and learning by doing. I feel like I learn way faster and with a rich understanding.”

Jose Dos Santos