AI+ Robotics

Hours: 40 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 40
Retail Price: $195.00

Course Overview:

The AI+ Robotics course provides a transformative learning experience, focusing on the integration of Artificial Intelligence (AI) with Robotics. Participants explore foundational concepts such as Deep Learning Algorithms and Reinforcement Learning, tailored for real-world robotics applications. Modules cover autonomous systems, intelligent agents, and Generative AI, preparing learners to lead in the evolving field of smart automation. Through practical projects and real-world case studies, participants gain hands-on experience in designing, implementing, and optimising robotic systems. Ethical considerations and industry policies are navigated to ensure responsible innovation. This program equips learners with robust theoretical knowledge and practical expertise, enabling them to shape the future of robotics and smart technologies.

Recommended Prerequisites:

• Familiarity with AI Basics: Understanding of basic AI concepts without the need for technical expertise.
• Innovative Mindset: Openness to generating creative ideas and leveraging AI tools for robotics development.
• Analytical Skills: Ability to critically analyze information and evaluate the implications of Robotics and AI technologies.
• Problem-Solving Readiness: Willingness to engage in real-world scenarios using AI and Robotics techniques.

Course Outline:

Lesson 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

Lesson 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

Lesson 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)

Lesson 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

Lesson 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

Lesson 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

Lesson 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

Lesson 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

Lesson 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

Lesson 10: Emerging Technologies and Innovation in Robotics

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

Lesson 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

Lesson 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

Lesson 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

Optional Lesson: 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

All necessary course materials are included.

System Requirements:

Internet Connectivity Requirements:

• Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

• CPU: 1 GHz or higher
• RAM: 4 GB or higher
• Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
• Speakers / Headphones
• Microphone for Webinar or Live Online sessions.

Operating System Requirements:

• Windows 7 or higher.
• Mac OSX 10 or higher.
• Latest Chrome OS
• Latest Linux Distributions
  

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

• Latest Google Chrome is recommended for the best experience.
• Latest Mozilla FireFox
• Latest Microsoft Edge
• Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

• Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
• PDF reader program (Adobe Reader, FoxIt)
• Courses may require other software that is described in the above course outline.