AI+ Robotics™
AT-420
Build the Future with Smart Automation- AI-Driven Robotics: Apply AI in Deep Learning, Reinforcement Learning, and smart automation
- Real-World Systems: Work with autonomous systems and intelligent agents
- Ethics & Innovation: Learn industry-aligned practices and innovation strategies
- Hands-On Projects: Gain experience designing, optimising, and deploying robotics solutions
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 30 hours of content
Who Should Enroll
Robotics Engineers: Enhance robotic system design and functionality using AI for automation and control.
Mechanical Engineers: Integrate AI to optimize robotics systems and improve performance in manufacturing and production.
AI Specialists: Apply AI techniques to enhance the intelligence and autonomy of robotic systems.
IT Specialists & System Integrators: Implement AI-powered solutions to improve robotics infrastructure and communication systems.
Students & New Graduates: Build essential skills in AI and robotics to succeed in an emerging field with endless growth potential.
Job Roles & Industry Outlook
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.
Industry Growth: Advancing Automation and Smart Machines for Industry 4.0
- The global AI robotics market is projected to grow at a CAGR of 39.1% from 2023 to 2030. (Source: Grand View Research)
- AI-powered robotics is transforming industries such as manufacturing, healthcare, and logistics, driving automation and improving operational efficiency.
- The adoption of AI-enhanced robotics solutions is accelerating, with organizations utilizing AI for real-time monitoring and autonomous systems.
- AI-driven automation is becoming essential for industries like automotive and aerospace, improving productivity, safety, and cost-efficiency.
- AI in robotics is revolutionizing sectors like agriculture, healthcare, and warehousing by optimizing processes and enhancing decision-making.
Skills you will gain
- Robotic Process Automation (RPA)
- AI-Powered Control Systems
- Machine Learning for Robotics
- Robotic Path Planning
- Sensor Integration and Data Processing
What You'll Learn
- 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 You’ll Master
OpenAI Gym
GreyOrange
Neurala
Dialogflow
Prerequisites
- Familiarity with basic concepts of Artificial Intelligence (AI), without the need for technical expertise.
- Openness to generate innovative ideas and concepts, leveraging AI tools effectively in the process.
- Ability to analyze information critically and evaluate the implications of AI and Robotics technologies.
- Readiness to engage in problem-solving activities and apply AI techniques to real-world scenario
Exam Details
Duration
90 minutes
Passing Score
70%
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
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%
Choose the Format That Fits Your Schedule
What’s Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
Instructor-Led (Live Virtual/Classroom)
- 5 days of intensive training with live demos
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- ~30 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
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Get CertifiedFrequently Asked Questions
The AI+ Robotics™ Certification provides a comprehensive understanding of the intersection of Artificial Intelligence (AI) and Robotics.
This certification is ideal for professionals and enthusiasts interested in AI and Robotics, including those with basic familiarity with AI concepts.
You will gain hands-on experience in building AI models, training neural networks, developing reinforcement learning models.
This certification will enhance your skills in AI and Robotics, making you a valuable asset in industries adopting automation and AI-driven solutions.
Participants should have a basic understanding of AI concepts, be open to generating innovative ideas, have the ability to critically analyze information.
