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AI+ Robotics™ Self-Paced Learning V3
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General
Course Introduction
Announcements
Lab Instructions
Audio Book: Introduction AI+ Robotics
Module 1: Introduction to Robotics and Artificial Intelligence (AI)
Module 1: Introduction to Robotics and Artificial Intelligence (AI)
Audio Book: Introduction to Robotics and Artificial Intelligence (AI)
Podcast: Introduction to Robotics and Artificial Intelligence (AI)
1.1 Introduction to Robotics
1.2 Historical Milestones in Robotics Development
1.3 Evolution of Robotic Technologies and Their Impact on Industries (Title: Evolution of Robotics and Industry Impact)
Activity: Timeline
1.4 Definition of AI and its Role in Robotics
1.5 Types of AI used in Robotics (e.g., reactive, limited memory, theory of mind) (Title: AI Types in Robotics)
Activity: Tab Type 1
Explanation of Machine Learning and its Applications in Robotics (Title: Machine Learning in Robotics)
1.7 Overview of Deep Learning, Neural Networks, and Their Relevance to Robotics (Title: Deep Learning and Robotics)
Activity: Multiple choice with image
1.8 Artificial Neural Networks (ANNs) and their Function in Robotic (Title: ANNs in Robotics)
1.9 Examples: Neural Network Applications in Robotics (Title: Neural Networks in Robotics)
Activity: True/False
Activity: Knowledge checks
Quiz
Module 2: Understanding AI and Robotics Mechanics
Module 2: Understanding AI and Robotics Mechanics
Audio Book: Understanding AI and Robotics Mechanics
Podcast: Understanding AI and Robotics Mechanics
2.1 Hardware Components: Sensors, Actuators, Processors, and Controllers (Title: Hardware Essentials)
2.2 Software Components
Activity: Accordion
2.4 Actuators
2.4 Control Systems ="Actuators and Control System"
Activity: Scenario Activity
2.5 Supervised Learning
2.6 Unsupervised Learning
2.7 Reinforcement Learning
2.8 Artificial Neural Networks (ANNs)
Activity: Multiple Response
Activity: Knowledge checks
Quiz
Module 3: Autonomous Systems and Intelligent Agents
Module 3: Autonomous Systems and Intelligent Agents
Audio Book: Autonomous Systems and Intelligent Agents
Podcast: Autonomous Systems and Intelligent Agents
3.1 Autonomous Systems: Definition, Traits, and Industry Examples (e.g., Self-Driving Cars, Drones) (Title: Efficient Autonomous Systems)
3.2 Understanding the Components and Interaction Mechanisms of Intelligent Agents (Title: Intelligent Agent Components and Interactions)
3.3 Real-World Examples and Challenges in Autonomous Systems (Title: Autonomous Systems: Examples and Challenges)
Activity: Carousel/ Slideshow
3.4 Overview of ROS and Its Role in Robotics Development (Title: ROS in Robotics Development)
3.5 Benefits of Using ROS for Building Autonomous Systems (Title: ROS Benefits for Autonomous Systems)
Activity: Drag-and-Drop
Activity: Knowledge checks
Quiz
Module 4: AI and Robotics Development Frameworks
Module 4: AI and Robotics Development Frameworks
Audio Book: AI and Robotics Development Frameworks
Podcast: AI and Robotics Development Frameworks
4.1 Basics of Python Programming Language
4.2 Using Python for Robotics Development and Machine Learning (Title: Python for Robotics and ML)
Activity: Carousel/ Slideshow
4.3 Overview of TensorFlow and PyTorch Libraries
4.4 TensorFlow & PyTorch for AI Algorithms
Activity: Flip Card
4.5 Robotics Frameworks: OpenCV, ROS
4.6 Applications and Benefits of Using These Frameworks in AI and Robotics Projects
Activity: Problem Statement: Type 1
Activity: Knowledge checks
Quiz
Lab Practice 4.1
Lab Practice 4.2
Python File Download
Module 5: Deep Learning Algorithms in Robotics
Module 5: Deep Learning Algorithms in Robotics
Audio Book: Deep Learning Algorithms in Robotics
Podcast: Deep Learning Algorithms in Robotics
5.1 Neural Networks and CNNs in Robotics
5.2 CNNs for Image Recognition and Object Detection
5.3 Robotics: Components, Techniques, Algorithms Hands-on Session: Training a CNN for Object Recognition
5.4 Robotic Vision Systems in Action: Case Studies and Examples
Activity: Multiple Response
Activity: Knowledge checks
Quiz
Lab Practice 5.1
Python File Download
Module 6: Reinforcement Learning in Robotics
Module 6: Reinforcement Learning in Robotics
Audio Book: Reinforcement Learning in Robotics
Podcast: Reinforcement Learning in Robotics
6.1 RL Concept and its Application in Robotics
6.2 Key Components of RL such as Agents, Environments, States, Actions
Activity: Drag-and-Drop
6.3 Overview of Popular RL Algorithms Used in Robotics (e.g., Q-learning, DQN)
6.4 Implementation of RL Algorithms for Robotic Applications Hands-on Session: Developing RL Models for Robots
Activity: Tab Type 2
6.5 Case Study: Demonstrating How RL is Used to Optimize Warehouse
6.6 Examples: Improved Efficiency and Resource Utilization through RL-Based Robotic
Activity: Case Study: Type 2
Activity: Knowledge checks
Quiz
Lab Practice 6.1
Lab Practice 6.2
Lab Practice 6.3
Python File Download
Module 7: Generative AI for Robotic Creativity
Module 7: Generative Artificial Intelligence (AI) for Robotic Creativity
Audio Book: Generative Artificial Intelligence (AI) for Robotic Creativity
Podcast: Generative AI for Robotic Creativity
7.1 Introduction to Generative Adversarial Networks (GANs) and Working
7.2 GANs in Robotics: Realistic Image Generation
Activity: Accordion
7.3 Generative AI Enables Robotic Innovation
7.4 AI Robots: Creative Projects, Products Hands-on Session: Generating Novel Designs for Robotics
Activity: Carousel/ Slideshow
7.5 Case Study: Demonstrating the Use of AI-Generated Designs in Custom Manufacturing
7.6 Generative AI: Unique, Customized Products
Activity: Sequence
Activity: Knowledge checks
Quiz
Lab Practice 7.1
Lab Practice 7.2
Python File Download
Module 8: Natural Language Processing (NLP) for Human-Robot Interaction
Module 8: Natural Language Processing (NLP) for Human-Robot Interaction
Audio Book: Natural Language Processing (NLP) for Human-Robot Interaction
Podcast: Natural Language Processing (NLP) for Human-Robot Interaction
8.1 Basics of Natural Language Processing and its Application in Robotics
8.2 NLP Techniques for Human-Robot Communication
Activity: True/False
8.3 Voice-Activated Control Systems
8.4 Integration of NLP Algorithms for Recognizing and Processing Voice Commands Hands-on Session: Creating a Voice-command Robot Interface
Activity: Tab Type 1
8.5 Case study: The use of NLP-Enabled Robots in Healthcare Settings
8.6 Latest Innovations in Robotics and AI
Activity: Problem Statement
Activity: Knowledge checks
Quiz
Lab Practice 8.1
Lab Practice 8.2
Python File Download
Module 9: Practical Activities and Use-Cases
Module 9: Practical Activities and Use-Cases
Audio Book: Practical Activities and Use-Cases
Podcast: Practical Activities and Use-Cases
9.1 Use-cases: Precision Agriculture, Automated Assembly Lines
Activity: Case Study: Type 2
Activity: Knowledge checks
Quiz
Lab Practice 9.1
Lab Practice 9.2
Lab Practice 9.3
Lab Practice 9.4
Lab Practice 9.5
Lab Practice 9.6
Python File Download
Module 10: Emerging Technologies and Innovation in Robotics
Module 10: Emerging Technologies and Innovation in Robotics
Audio Book: Emerging Technologies and Innovation in Robotics
Podcast: Emerging Technologies and Innovation in Robotics
10.1 Enhancing Security and Traceability with Blockchain in Robotics
10.2 Use-case: Blockchain Integration in Robotic Systems
Activity: Multiple Response
10.3 Quantum Computing Basics & Implications
10.4 Quantum Computing and AI Algorithms in Robotics
10.5 Use-Case: Environmental Conservation with Robotics
Activity: Accordion
Activity: Knowledge checks
Quiz
Module 11: Exploring AI with Robotic Process Automation
Module 11: Exploring Artificial Intelligence (AI) with Robotic Process Automation
Audio Book: Exploring Artificial Intelligence (AI) with Robotic Process Automation
Podcast: Exploring AI with Robotic Process Automation
11.1 Robotic Process Automation (RPA) and its Significance in Automating
11.2 RPA Basics and Use Cases
Activity: Tab Type 2
11.3 Identify the Leading RPA Tools in the Market
11.4 RPA: Features, Benefits, Applications
Activity: Tab Type 1
11.5 AI-Powered RPA: Cognitive Automation
11.6 AI Integrations: NLP & ML
11.7 Case Studies on AI-Enhanced RPA Implementations in Different
Activity: Scenario Activity
Activity: Knowledge checks
Quiz
Module 12: AI Ethics, Safety, and Policy
Module 12: Artificial Intelligence (AI) Ethics, Safety, and Policy
Audio Book: AI Ethics, Safety, and Policy
Podcast: AI Ethics, Safety, and Policy
12.1 Discussing Ethical Challenges such as Bias, Transparency, and Accountability
12.2 Designing Ethical AI Systems in Robotics
Activity: Drag-and-Drop
12.3 Safety Standards and Regulations for AI-Driven
12.4 Safety in Robotics Design and Interaction
Activity: Popup
12.5 Exploring Current and Future AI Policies and Regulations
12.6 Impact of AI Policies on Robotics Development
Activity: Problem Statement: Type 1
Activity: Knowledge checks
Quiz
Module 13: Innovations and Future Trends in AI and Robotics
Module 13: Innovations and Future Trends in AI and Robotics
Audio Book: Innovations and Future Trends in AI and Robotics
13.1 Exploring Cutting-Edge Developments and Breakthroughs
13.2 Example: Innovative AI and Robotics Projects
Activity: True/False
13.3 AI and Robotics Transforming Industries & Workplaces
13.4 Societal Implications of AI and Robotics Advancements
Activity: Problem Statement: Type 1
Quiz
Additional Module - AI Agents For Robotics
AI Agents Robotics
Resources
AI+ Robotics Blueprint
AI+ Robotics Detailed Curriculum
AI+ Robotics Tools
AI+ Robotics Resources and References
AI CERTs Exam Guidelines
AI CERTs Exam Guidelines
AI+ Robotics Examination
AI+ Robotics Examination
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Información del curso
AI+ Robotics™ Self-Paced Learning V3
Skill Level
:
Beginner
certificate name
:
AI+ Robotics™
Badge
:
Badge-AI+-Robotics.png
Course Layout
:
Standard
