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Professional certificate in Robotics with AI

Duration: 12 Weeks / 100 Hrs

Industry Acceptance

This comprehensive online course provides a deep dive into the dynamic fields of Robotics and Artificial Intelligence (AI). Participants will explore the principles, technologies, and applications that underpin these transformative domains. The course combines theoretical foundations with hands-on projects, enabling students to develop a strong understanding of the interplay between robotics and AI and their real-world implications.

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Registration Fees

₹ 1500

non-refundable

Course Fees

₹ 55,000

Flexible EMI options available.

Batch Start

Aug, 2025

Duration

12 Weeks / 100 Hrs

Program Structure

Eligibility: Bachelor's degree from a recognized institution , with Mathematics as a subject with at least 50% aggregate marks and 1 year of work experience (Preferably)

Duration: 12 Weeks / 100 Hrs

Batch Start Date: Aug, 2025

Batch Size: 25-30

Courses and Certification Conduct Policy:

Undergoing a professional course in Robotics and Artificial Intelligence (AI) from the National Institute of Robotics & Artificial Intelligence (NIRA) offers several benefits:

Comprehensive Curriculum: NIRA provides an intensive program that covers AI and Machine Learning (ML) concepts, designed for graduates from any discipline.
Industry-Relevant Skills: The courses are tailored to equip you with skills in high demand, such as Python, ML, Tableau, Generative AI, and ChatGPT.
Career Advancement: With a focus on business excellence using AI, the program aims to increase efficiency, productivity, and improve decision-making capabilities.
Lifelong Learning: NIRA recognizes the ever-evolving nature of technology, offering flexible learning formats to ensure continuous skill development.
High Demand: AI and robotics skills are sought after in various industries, promising a booming job market and competitive salaries.

By enrolling in NIRA’s programs, you can expect to gain a robust foundation in AI and robotics, which can significantly enhance your personal and professional growth.

Certification:

Upon successful completion of the course, participants will receive a certificate recognizing their proficiency in Robotics and Artificial Intelligence, showcasing their ability to apply these technologies in real-world scenarios.

This online course provides a solid foundation for professionals and enthusiasts seeking to advance their knowledge in the exciting and rapidly evolving fields of Robotics and Artificial Intelligence.

Program Structure:

Module 1:

Foundations of Robotics +

Introduction to robotics terminology, concepts, and historical evolution.
Understanding kinematics, dynamics, and control systems in robotic platforms.
Exploration of sensors, actuators, and communication systems in robotics.

Module 2:

Artificial Intelligence Fundamentals +

Overview of AI, machine learning, and deep learning concepts.
Understanding algorithms, data structures, and optimization techniques in AI.
Applications of AI in various industries, including healthcare, finance, and manufacturing.

Module 3:

Integration of Robotics and AI +

Examining the synergy between robotics and AI for intelligent automation.
Hands-on projects incorporating machine learning in robotic systems.
Case studies of successful applications, such as autonomous vehicles and robotic process automation.

Module 4:

Machine Vision and Perception +

Introduction to computer vision and its role in robotics.
Image processing techniques for object recognition and tracking.
Integration of perception systems for enhancing robotic decision-making.

Module 5:

Robotics Programming +

Practical coding exercises using popular robotics programming languages.
Implementation of algorithms for path planning, obstacle avoidance, and localization.
Development of control algorithms for robotic manipulators.

Module 6:

Ethical and Social Implications +

Exploration of ethical considerations in AI and robotics.
Discussion on societal impact, biases, and responsible AI development.
Case studies on ethical challenges and their resolution in real-world scenarios.

Module 7:

Capstone Project +

Collaborative development of a robotics project incorporating AI principles.
Application of learned concepts to address a real-world problem.
Project presentation and peer evaluation.

PROGRAMS

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