AI CERTS® certification

AI+ Robotics Practitioner™

Formerly known as AI+ Robotics™ Build the Future with Smart Automation

Enquire about this certificationCourse code: AT-420

AI+ Robotics Practitioner™ certification badge

Course overview

Review the course before deciding whether it is suitable.

AI-Driven Robotics: Apply AI in Deep Learning, Reinforcement Learning, and smart automation Real-World Systems: Work with autonomous systems and intelligent agents Ethics & Innovation: Learn industry-aligned practices and innovation strategies Hands-On Projects: Gain experience designing, optimising, and deploying robotics solutions

Included: Instructor-led OR Self-paced course + Official exam + Digital badge
Duration: Instructor-Led: 5 days (live or virtual)Self-Paced: 40 hours of content
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Prerequisites: Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.

Course focus

Why this certification may be relevant.

Demand for Certified AI & Robotics Professionals:

Organizations are seeking certified professionals who can integrate AI into robotics to optimize processes, enhance automation, and improve operational efficiency.

Risks of Mismanaging AI & Robotics:

Mismanagement of robotic systems and AI technologies can lead to operational inefficiencies and safety risks.

Role of Certification in Robotics Strategy:

Certified professionals are key in developing robotics strategies that maximize performance, safety, and compliance with industry regulations.

Career Advantage & Leadership Opportunities:

As robotics and AI continue to reshape industries, this certification offers professionals a distinct advantage, positioning them for leadership roles.

Who it may suit

Check the intended audience against your experience and goals.

Robotics Engineers Enhance robotic system design and functionality using AI for automation and control.
Mechanical Engineers: Integrate AI to optimize robotics systems and improve performance in manufacturing and production.
AI Specialists: Apply AI techniques to enhance the intelligence and autonomy of robotic systems.
IT Specialists & System Integrators: Implement AI-powered solutions to improve robotics infrastructure and communication systems.
Students & New Graduates: Build essential skills in AI and robotics to succeed in an emerging field with endless growth potential.

Course content

Modules supplied by AI CERTs.

Open each module to review the stated topics.

01Module 1: Introduction to Robotics and Artificial Intelligence (AI)

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

02Module 2: Understanding AI and Robotics Mechanics

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

03Module 3: Autonomous Systems and Intelligent Agents

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

04Module 4: AI and Robotics Development Frameworks

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

05Module 5: Deep Learning Algorithms in Robotics

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

06Module 6: Reinforcement Learning in Robotics

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

07Module 7: Generative AI for Robotic Creativity

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

08Module 8: Natural Language Processing (NLP) for Human-Robot Interaction

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

09Module 9: Practical Activities and Use-Cases

9.1 Hands-on Session-1: Building AI Models for Object Recognition using Python Programming
9.2 Hands-on Session-2: Path Planning, Obstacle Avoidance, and Localization Implementation using Python Programming
9.3 Hands-on Session-3: PID Controller Implementation using Python programming
9.4 Use-cases: Precision Agriculture, Automated Assembly Lines

10Module 10: Emerging Technologies and Innovation in Robotics

10.1 Integration of Blockchain and Robotics
10.2 Quantum Computing and Its Potential

11Module 11: Exploring AI with Robotic Process Automation

11.1 Understanding Robotic Process Automation and its use cases
11.2 Popular RPA Tools and Their Features
11.3 Integrating AI with RPA

12Module 12: AI Ethics, Safety, and Policy

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

13Module 13: Innovations and Future Trends in AI and Robotics

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

14Optional Module: AI Agents for Robotics

1. What Are AI Agents
2. Key Capabilities of AI Agents in Robotics
3. Applications and Trends for AI Agents in Robotics
4. How Does an AI Agent Work
5. Core Characteristics of AI Agents
6. The Future of AI Agents in Robotics
7. Types of AI Agents

Tools referenced by AI CERTs

Platforms and tools included in the course information.

OpenAI Gym

GreyOrange

Neurala

Dialogflow

Before you enrol

This course information is supplied through the AI CERTs catalogue. Kiwi Fern Education will confirm current availability, delivery arrangements, inclusions and fees before enrolment. The programme is not presented as a New Zealand Qualifications Authority qualification.

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