AI+ Robotics™

Certificate Code: AT-420

Passing Score: 70% (35/50)

Exam Info: 50 MCQs, 90 Minutes

Tagline: Build the Future with Smart Automation

Course Overview:

Prerequisites:

Tools Used:

• OpenAI Gym
• GreyOrange
• Neurala
• Dialogflow

Modules:

• Module 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
• Module 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
• Module 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)
• Module 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
• Module 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
• Module 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
• Module 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
• Module 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
• Module 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
• Module 10: Emerging Technologies and Innovation in Robotics
  • 10.1 Integration of Blockchain and Robotics
  • 10.2 Quantum Computing and Its Potential
• Module 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
• Module 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
• Module 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 Module: AI Agents for Robotics
  1. 1. What Are AI Agents
  2. 2. Key Capabilities of AI Agents in Robotics
  3. 3. Applications and Trends for AI Agents in Robotics
  4. 4. How Does an AI Agent Work
  5. 5. Core Characteristics of AI Agents
  6. 6. The Future of AI Agents in Robotics
  7. 7. Types of AI Agents

What You’ll Learn:

• Algorithm Development and Implementation — Developing the ability to implement deep learning and reinforcement learning algorithms specifically tailored for robotics, equipping learners with the skills to create intelligent and adaptive robotic behaviors.
• Human-Robot Interaction and Communication — Gaining expertise in Natural Language Processing (NLP) for facilitating effective human-robot interaction, enhancing the ability of robots to understand and respond to human commands and communications.
• Generative AI for Creative Applications — Learning to apply generative AI techniques for enhancing robotic creativity, allowing robots to generate novel solutions and approaches in various tasks and problem-solving scenarios.
• Practical Application and Use-Case Implementation — Developing hands-on experience through practical activities and real-world use-cases, which reinforces theoretical knowledge and provides learners with the skills to apply their learning to actual robotic projects and challenges.

Career Opportunities:

• AI Robotics Integration Expert: — Integrates AI technologies into existing robotic systems, enhancing their performance and enabling new functionalities and applications.
• AI Robotics System Developer: — Creates complex robotic systems incorporating AI, focusing on enhancing capabilities like perception, learning, and adaptive behavior.
• Robotics Engineer with AI Expertise: — Designs and develops advanced robots, integrating AI algorithms to enhance autonomy, decision-making, and overall robotic functionality.
• AI Intelligent Robotics Specialist: — Specializes in developing intelligent robots that utilize AI for advanced tasks, such as navigation, manipulation, and human interaction.

Exam Blueprint:

• Introduction to Robotics and Artificial Intelligence (AI) – 5% 
• Understanding AI and Robotics Mechanics – 6% 
• Autonomous Systems and Intelligent Agents – 6% 
• AI and Robotics Development Frameworks – 9% 
• Deep Learning Algorithms in Robotics – 9% 
• Reinforcement Learning in Robotics – 9% 
• Generative AI for Robotic Creativity – 9% 
• Natural Language Processing (NLP) for Human-Robot Interaction – 9% 
• Practical Activities and Use-Cases – 8% 
• Emerging Technologies and Innovation in Robotics – 9% 
• Exploring AI with Robotic Process Automation (RPA) – 9% 
• AI Ethics, Safety, and Policy – 6% 
• Innovations and Future Trends in AI and Robotics – 6% 

Self-Study Materials:

• Videos: Engaging visual content to enhance understanding and learning experience.
• Podcasts: Insightful audio sessions featuring expert discussions and real-world cases.
• Audiobooks: Listen and learn anytime with convenient audio-based knowledge sharing.
• E-Books: Comprehensive digital guides offering in-depth knowledge and learning support.
• Labs: Interactive lab sessions to apply concepts and strengthen technical skills.
• Module Wise Quizzes: Interactive assessments to reinforce learning and test conceptual clarity.
• Additional Resources: Supplementary references and list of tools to deepen knowledge and practical application.

Frequently Asked Questions:

• Q: What is the AI+ Robotics™ Certification about?
  A: The AI+ Robotics™ Certification provides a comprehensive understanding of the intersection of Artificial Intelligence (AI) and Robotics.
• Q: Who should enroll in this certification?
  A: This certification is ideal for professionals and enthusiasts interested in AI and Robotics, including those with basic familiarity with AI concepts.
• Q: What practical skills will I gain from this certification?
  A: You will gain hands-on experience in building AI models, training neural networks, developing reinforcement learning models.
• Q: How will this certification benefit my career?
  A: This certification will enhance your skills in AI and Robotics, making you a valuable asset in industries adopting automation and AI-driven solutions.
• Q: What are the prerequisites for enrolling in the certification?
  A: Participants should have a basic understanding of AI concepts, be open to generating innovative ideas, have the ability to critically analyze information.

Certificate Features:

• High-Quality Video, E-book & Audiobook
• Modules Quizzes
• AI Mentor
• Access for Tablet & Phone
• Online Proctored Exam with One Free Retake
• LABs Practices