Artificial Intelligence and Machine Learning Courses

AI+ Robotics Practitioner - Self-paced

Length 365 days access
Price NZD 1050 exc GST
Inclusions Online exam

Course overview

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Why study this course

The AI+ Robotics Practitioner course is designed for robotics engineers, AI enthusiasts, technology professionals, and business leaders seeking to advance their expertise at the intersection of AI and robotics. The course delivers practical, industry-relevant capabilities that enable these professionals to design, develop, and optimise intelligent robotic systems, leveraging AI to drive innovation and automation across modern industries.

Throughout the course, learners will explore key areas including robotics fundamentals, deep learning and reinforcement learning techniques, autonomous systems, intelligent agents, and generative AI, supported by hands-on activities and real-world case studies. With a strong emphasis on practical application and ethical considerations, the course equips students with the experience to build and deploy AI-driven robotic solutions, while navigating governance, safety, and policy frameworks to enable responsible innovation.

Exam and certification

This course prepares students for the corresponding certification. The exam/assessment is completed online and provided as part of the course content.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

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What you’ll learn

Through this course, students will be able to:

Acquire a comprehensive understanding of the symbiotic relationship between AI and Robotics.
Build proficiency in foundational Robotics and AI mechanics.
Advanced knowledge in DL algorithms and RL for Robotics applications.
Learn autonomous systems, intelligent agents, and generative AI.
Grasp ethical considerations and policy frameworks in AI.
Empower themselves to drive responsible innovation in the evolving AI and Robotics landscape.

AI CERTs at Lumify Work

AI CERTs® stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is a Platinum Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

This course is intended for:

Robotics Engineers
AI Enthusiasts
Technology Professionals
Business Leaders and Innovators

Course subjects

Module 1: Introduction to Robotics and Artificial Intelligence (AI)

Overview of Robotics: Introduction, History, Evolution, and Impact
Introduction to Artificial Intelligence (AI) in Robotics
Fundamentals of Machine Learning (ML) and Deep Learning
Role of Neural Networks in Robotics

Module 2: Understanding AI and Robotics Mechanics

Components of AI Systems and Robotics
Deep Dive into Sensors, Actuators, and Control Systems
Exploring Machine Learning Algorithms in Robotics

Module 3: Autonomous Systems and Intelligent Agents

Introduction to Autonomous Systems
Building Blocks of Intelligent Agents
Case Studies: Autonomous Vehicles and Industrial Robots
Key Platforms for Development: ROS (Robot Operating System)

Module 4: AI and Robotics Development Frameworks

Python for Robotics and Machine Learning
TensorFlow and PyTorch for AI in Robotics
Introduction to Other Essential Frameworks

Module 5: Deep Learning Algorithms in Robotics

Understanding Deep Learning: Neural Networks, CNNs
Robotic Vision Systems: Object Detection, Recognition
Hands-on Session: Training a CNN for Object Recognition
Use Case: Precision Manufacturing with Robotic Vision

Module 6: Reinforcement Learning in Robotics

Basics of Reinforcement Learning (RL)
Implementing RL Algorithms for Robotics
Hands-on Session: Developing RL Models for Robots
Use Case: Optimizing Warehouse Operations with RL

Module 7: Generative AI for Robotic Creativity

Exploring Generative AI: GANs and Applications
Creative Robots: Design, Creation, and Innovation
Hands-on Session: Generating Novel Designs for Robotics
Use Case: Custom Manufacturing with AI

Module 8: Natural Language Processing (NLP) for Human-Robot Interaction

Introduction to NLP for Robotics
Voice-Activated Control Systems
Hands-on Session: Creating a Voice-Command Robot Interface
Case Study: Assistive Robots in Healthcare

Module 9: Practical Activities and Use Cases

Hands-on Session: Building AI Models for Object Recognition Using Python Programming
Hands-on Session: Path Planning, Obstacle Avoidance, and Localization Implementation Using Python Programming
Hands-on Session: PID Controller Implementation Using Python Programming
Use Cases: Precision Agriculture, Automated Assembly Lines

Module 10: Emerging Technologies and Innovation in Robotics

Integration of Blockchain and Robotics
Quantum Computing and Its Potential

Module 11: Exploring AI with Robotic Process Automation

Understanding Robotic Process Automation and Its Use Cases
Popular RPA Tools and Their Features
Integrating AI with RPA

Module 12: AI Ethics, Safety, and Policy

Ethical Considerations in AI and Robotics
Safety Standards for AI-Driven Robotics
Discussion: Navigating AI Policies and Regulations

Module 13: Innovations and Future Trends in AI and Robotics

Latest Innovations in Robotics and AI
Future of Work and Society: Impact of AI and Robotics

Additional Module: AI Agents for Robotics

What Are AI Agents
Key Capabilities of AI Agents in Robotics
Applications and Trends for AI Agents in Robotics
How Does an AI Agent Work
Core Characteristics of AI Agents
The Future of AI Agents in Robotics
Types of AI Agents

Prerequisites

Basic understanding of AI, Science, Technology, Engineering, or Mathematics (STEM), computer programming languages, mathematics, and physics.
Willingness to generate innovative ideas by effectively leveraging AI tools.
Ability to analyze information critically and evaluate the implications of AI and Robotics technologies.
Ready to engage in problem-solving activities and apply AI techniques to real-world scenarios.

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.