AI+ Robotics™- eLearning (exam included)

AI+ Robotics™ - eLearning (exam included)

The AI+ Robotics Certification provides an immersive exploration of the intersection between Artificial Intelligence (AI) and Robotics. Tailored for professionals aiming to excel in this field, it covers foundational concepts, advanced Deep Learning (DL), and Reinforcement Learning (RL) techniques applied specifically to robotics.

The program emphasizes autonomous systems, intelligent agents, and generative AI, combining theory with hands-on exercises and real-world case studies. Ethical considerations and policy frameworks are included to promote responsible AI use. Upon completion, participants gain the knowledge and practical skills required to drive innovation and navigate ethical challenges in AI-driven robotics.

Shape Tomorrow with Intelligent Robotics

• AI-Powered Automation: Implement AI in Deep Learning, Reinforcement Learning, and smart robotic systems
• Practical Applications: Work with autonomous systems and intelligent agents
• Ethical Innovation: Learn responsible AI practices and industry-aligned strategies
• Hands-On Experience: Design, optimize, and deploy real-world robotics solutions

Why This Certification Matters

• High Demand for AI & Robotics Experts: Companies seek certified professionals to integrate AI into robotics, boosting automation and operational efficiency.

• Mitigating Risks: Properly managing AI-driven robotic systems prevents inefficiencies and safety hazards.

• Strategic Impact: Certified experts play a key role in designing robotics strategies that enhance performance, safety, and regulatory compliance.

• Career Growth & Leadership: This certification provides a competitive edge, preparing professionals for leadership roles in the evolving robotics industry.

Industry Growth: Driving Data-Driven Innovation Across Sectors

• The global AI robotics market is expected to grow at a CAGR of 39.1% from 2023 to 2030. (Source: Grand View Research)
• AI-powered robotics is transforming manufacturing, healthcare, and logistics, enhancing automation and efficiency.
• Adoption of AI-driven robotics is increasing, enabling real-time monitoring and autonomous operations.
• AI automation is crucial in industries like automotive and aerospace, boosting productivity, safety, and cost-effectiveness.
• Robotics with AI is revolutionizing sectors such as agriculture, healthcare, and warehousing, optimizing processes and decision-making.

Key Features

• Course and material in English 
• Intermediate level  (Category: AI+ Technical)
• 1 year access to the platform 24/7
• 40 hours of video lessons & multimedia resources

• 50 hours of study time recommendation 
• Quizzes, Assessments, and Course Resources
• Online Proctored Exam with One Free Retake

• Certification of completion included valid for 1 year

• Virtual Hands-on Lab included
• Tools You’ll Master: OpenAI Gym, GreyOrange, Neurala, Dialogflow

Learning Outcomes

• Algorithm Development & Implementation: Build expertise in Deep Learning and Reinforcement Learning to create intelligent, adaptive robotic systems.
• Generative AI for Robotics: Apply generative AI techniques to enable robots to generate innovative solutions for various challenges.
• Human-Robot Interaction: Use NLP and other tools to improve communication between humans and robots.
• Practical Robotics Applications: Gain hands-on experience by applying AI to real-world robotic projects.

Target Audience

• Robotics Engineers: Boost robotic system design and automation using AI.
• Mechanical Engineers: Apply AI to enhance robotics performance in production and manufacturing.
• AI Specialists: Improve the intelligence and autonomy of robotic systems with AI.
• IT Specialists & System Integrators: Deploy AI-driven solutions to optimize robotics infrastructure and communication.
• Students & New Graduates: Gain foundational AI and robotics skills to thrive in a fast-growing field.

Prerequisites

• Basic understanding of Artificial Intelligence (AI) concepts; no advanced technical skills required.
• Willingness to explore innovative ideas and effectively use AI tools.
• Ability to think critically and assess the impact of AI and Robotics technologies.
• Preparedness to tackle real-world problems using AI techniques.

Exam Details

• Duration: 90 minutes
• Passing :70% (35/50)
• Format: 50 multiple-choice/multiple-response questions
• Delivery Method: Online via proctored exam platform (flexible scheduling)
• Language: English

Course Content

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. What Are AI Agents
2. Key Capabilities of AI Agents in Robotics
3. Applications and Trends for AI Agents in Robotics
4. How Does an AI Agent Work
5. Core Characteristics of AI Agents
6. The Future of AI Agents in Robotics
7. Types of AI Agents

Licensing and accreditation

This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements. 

Equity Policy

AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.

FAQ

What is the AI+ Robotics™ Certification about?
This certification offers a thorough exploration of how Artificial Intelligence (AI) integrates with Robotics.

Who should enroll in this certification?
Ideal for professionals and enthusiasts interested in AI and Robotics, including those with basic AI knowledge.

What practical skills will I gain from this certification?
Acquire hands-on experience in building AI models, training neural networks, and developing reinforcement learning systems.

How will this certification benefit my career?
Enhances your expertise in AI and Robotics, positioning you as a valuable professional in industries adopting automation and AI-driven solutions.

Recertification Requirements
AI+ Technical courses require recertification every year to keep your certification valid. Notifications will be sent three months before the due date

How Can AVC Help Foster an AI-Ready Culture?
While AI offers significant advantages, many organizations struggle with challenges like talent gaps, complex data environments, and system integration barriers. At AVC, we understand these obstacles and have tailored our certification programs to help businesses overcome them effectively.

Our strategic approach focuses on building a culture that embraces AI adoption and innovation. Through our industry-recognized certifications and in-depth training, we equip your workforce with the skills and knowledge needed to lead your organization confidently into an AI-powered future.

Customized for Impact: Our programs aren't one-size-fits-all. We offer specialized training designed by industry experts to equip your workforce with the specific skills and knowledge needed for critical AI roles.

Practical, Real-World Learning: We prioritize hands-on experience over theory, using real-world projects and case studies. This approach ensures your team gains the confidence and capability to implement AI solutions effectively, driving innovation and measurable business outcomes.