AICERTS, Artificial Intelligence

AI+ Robotics™

Instructor

Falandile Ntshangase

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Course details

Lectures : 51

Description
FAQ
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Why This Certification Matters

Demand for Certified AI & Robotics Professionals: Organizations are seeking certified professionals who can integrate AI into robotics to optimize processes, enhance automation, and improve operational efficiency.

Risks of Mismanaging AI & Robotics: Mismanagement of robotic systems and AI technologies can lead to operational inefficiencies and safety risks.

Role of Certification in Robotics Strategy: Certified professionals are key in developing robotics strategies that maximize performance, safety, and compliance with industry regulations.

Career Advantage & Leadership Opportunities: As robotics and AI continue to reshape industries, this certification offers professionals a distinct advantage, positioning them for leadership roles.

At a Glance: Course + Exam Overview

Program Name

AI+ Robotics™

Included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

Instructor-Led: 5 days (live or virtual)
Self-Paced: 40 hours of content

Prerequisites

Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.

Exam Format

50 questions, 70% passing, 90 minutes, online proctored exam

Delivery

Online labs, projects, case studies

Outcome

Industry-recognized credential + hands-on experience

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.

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% (35/50)

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%

What is the AI+ Robotics™ Certification about?

The AI+ Robotics™ Certification provides a comprehensive understanding of the intersection of Artificial Intelligence (AI) and Robotics.

Who should enroll in this certification?

This certification is ideal for professionals and enthusiasts interested in AI and Robotics, including those with basic familiarity with AI concepts.

What practical skills will I gain from this certification?

You will gain hands-on experience in building AI models, training neural networks, developing reinforcement learning models.

How will this certification benefit my career?

This certification will enhance your skills in AI and Robotics, making you a valuable asset in industries adopting automation and AI-driven solutions.

What are the prerequisites for enrolling in the certification?

Participants should have a basic understanding of AI concepts, be open to generating innovative ideas, have the ability to critically analyze information.

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