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The course covers autonomous systems, generative AI, and ethics, with hands-on projects and case studies to build practical expertise in AI and robotics.

Prerequisites

  • Basic Understanding of AI Concepts: Familiarity with fundamental AI principles is beneficial.
  • Innovative Mindset: Openness to generating and implementing innovative ideas in AI and Robotics.
  • Analytical Skills: Ability to critically analyze information and engage in problem-solving activities.

 

Course Modules and Curriculum

Course Introduction Watch Demo
  • 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
  • 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
  • 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)
  • 4.1 Python for Robotics and Machine Learning
  • 4.2 TensorFlow and PyTorch for AI in Robotics
  • 4.3 Introduction to Other Essential Frameworks
  • 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
  • 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
  • 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
  • 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
  • 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
  • 10.1 Integration of Blockchain and Robotics
  • 10.2 Quantum Computing and Its Potential
  • 11.1 Understanding Robotic Process Automation and its Use Cases
  • 11.2 Popular RPA Tools and Their Features
  • 11.3 Integrating AI with RPA
  • 12.1 Ethical Considerations in AI and Robotics
  • 12.2 Safety Standards for AI-Driven Robotics
  • 12.3 Discussion: Navigating AI Policies and Regulations
  • 13.1 Latest Innovations in Robotics and AI
  • 13.2 Future of Work and Society: Impact of AI and Robotics

Tools

OpenAI Gym

OpenAI Gym.jpg

GreyOrange

GreyOrange

Neurala

Neurala

Dialogflow

Dialogflow

Who Should Enroll?

This certification is ideal for:

  • Robotics Engineers & AI Developers
    - Learn to integrate AI models into robotic systems.
  • Automation & Industry 4.0 Professionals
    - Gain expertise in AI-powered automation and industrial robotics.
  • Machine Learning & AI Enthusiasts
    - Explore robotics applications in AI perception, control, and decision-making.
  • Tech Innovators & R&D Specialists
    - Understand how AI and robotics revolutionize industries from healthcare to logistics.
Key Learning Outcomes
  • Learn how AI enhances robotic automation, navigation, and decision-making.
  • Gain expertise in machine learning, computer vision, and reinforcement learning for robotics.
  • Explore real-world applications of AI-driven robots in industries like healthcare, manufacturing, and logistics.
  • Develop AI-powered robotic solutions using deep learning, sensor fusion, and motion planning.

Enroll Now

Take the first step towards becoming an AI expert.
Enroll in our AI+ Robotics™ Course today and unlock the potential of coding to drive your career forward.

Exam Objectives

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Advanced Algorithm Implementation

Master deep learning and reinforcement learning techniques for robotics, enabling the creation of intelligent and adaptive robotic behaviors.

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Human-Robot Communication

Gain expertise in Natural Language Processing (NLP) to enhance human-robot interactions, improving a robot’s ability to understand and respond to commands.

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Generative AI for Robotics

Apply generative AI to enhance robotic creativity, allowing robots to generate novel solutions and problem-solving approaches.

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Hands-On Application & Real-World Use Cases

Develop practical experience through real-world robotic applications, reinforcing theoretical knowledge with hands-on projects and industry use cases.

Career Opportunities Post-Certification

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Median Salaries

$59,391

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With AI Skills

$130,558

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% Difference

120

Product Manager

AI Robotics Integration Specialis

Implements AI technologies into existing robotic systems, improving performance, functionality, and expanding capabilities.

Data Analyst

AI Robotics Engineer

Designs and develops advanced robots, integrating AI algorithms to enhance autonomy, decision-making, and functionality.

AI Architect

AI Robotics Systems Developer

Creates intelligent robotic systems, focusing on perception, learning, and adaptive behavior for enhanced real-world applications.

ML Engineer

AI Intelligent Robotics Specialist

Develops AI-powered robots for advanced tasks such as navigation, manipulation, and human interaction, enhancing autonomy and functionality.

Join AI Course & Become Future-Ready!

Stay ahead in the AI-driven world. Enroll now to gain in-demand skills, hands-on experience, and industry-recognized certification for a future-ready career.

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Frequently Asked Questions

The AI+ Robotics™ Certification is an immersive educational experience designed to provide a comprehensive understanding of the intersection of Artificial Intelligence (AI) and Robotics. It covers foundational concepts, advanced algorithms, hands-on activities, and real-world case studies.

This certification is ideal for professionals and enthusiasts interested in AI and Robotics, including those with basic familiarity with AI concepts but no need for technical expertise. It is suitable for individuals looking to innovate and apply AI techniques to real-world scenarios.

You will gain hands-on experience in building AI models, training neural networks, developing reinforcement learning models, creating voice-command interfaces, and implementing various robotics use cases.

The certification will enhance your skills in AI and Robotics, making you a valuable asset in industries that are increasingly adopting automation and AI-driven solutions. It positions you to lead innovation and stay ahead in a rapidly evolving technological landscape.

Participants should have a basic understanding of AI concepts, be open to generating innovative ideas, have the ability to critically analyze information, and be ready to engage in problem-solving activities.