AI+ Robotics

The AI+ Robotics course program offers a transformative journey into the intersection of Artificial Intelligence and Robotics. It begins with foundational concepts, exploring the history of robotics and AI’s role in enhancing robotic capabilities. Participants will study machine learning, deep learning, and neural networks, gaining a solid understanding of both fields. The curriculum features hands-on activities and real-world case studies to build practical skills, covering autonomous systems, intelligent agents, and development platforms like ROS (Robot Operating System). Additionally, the course addresses ethical considerations, safety standards, and policy frameworks, ensuring responsible integration of AI and robotics. By the end, participants will be equipped to lead innovation in this evolving landscape.

Course Details

Price:

$3,995.00

Days:

Location:

Virtual

Course Overview

• Gain a foundational understanding of robotics, including its history, evolution, and the role of AI in robotics.
• Explore and implement deep learning algorithms and reinforcement learning techniques in robotics applications.
• Develop practical skills through hands-on sessions and real-world case studies, focusing on autonomous systems and intelligent agents.
• Understand and apply ethical considerations, safety standards, and policy frameworks in AI-driven robotics.
• Stay updated on emerging trends and technologies shaping the future of AI and robotics.

• Knowledge of networking protocols and technologies
• Experience with network security practices
• Familiarity with network monitoring tools
• Proficiency in troubleshooting network issues
• Understanding of firewalls, VPNs, and other security measures
• Ability to configure and manage routers and switches
• Experience with network performance optimization
• Strong problem-solving skills
• Excellent communication and teamwork abilities
• Relevant certifications (e.g., CCNA, CompTIA Network+)

– 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

– 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

– 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)

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

– 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

– 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

– 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

– 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

– Practical Activities and Use-Cases
• Hands-on Session-1: Building AI Models for Object Recognition using Python Programming
• Hands-on Session-2: Path Planning, Obstacle Avoidance, and Localization Implementation using Python Programming
• Hands-on Session-3: PID Controller Implementation using Python programming
• Use-cases: Precision Agriculture, Automated Assembly Lines

– Emerging Technologies and Innovation in Robotics
• Integration of Blockchain and Robotics
• Quantum Computing and Its Potential

– Exploring AI with Robotic Process Automation
• Understanding Robotic Process Automation and its use cases
• Popular RPA Tools and Their Features
• Integrating AI with RPA

– AI Ethics, Safety, and Policy
• Ethical Considerations in AI and Robotics
• Safety Standards for AI-Driven Robotics
• Discussion: Navigating AI Policies and Regulations

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

Class Dates & Times


6/9/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00
7/14/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00
8/18/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00
9/15/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00
10/20/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00
11/17/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00
12/15/2025 Virtual 09:00:00-17:00:00 CST Enroll Now $3,995.00

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