Artificial Intelligence (AI) and Robotics Program

AI-Powered Robotics Master Program

Program Descripion:

The AI & Robotics Mastery Program at Indepth Research Institute (IRES) is designed to equip participants with the essential knowledge and practical skills needed to excel in the dynamic fields of artificial intelligence and robotics. Through a streamlined curriculum spanning three modules, participants will delve into foundational principles and advanced techniques, ensuring proficiency in key areas of AI and robotics. With a focus on immersive learning, participants will explore topics such as perception, decision-making, and action in robotics. They will master algorithms for robot control, computer vision, and natural language processing. Hands-on experience with industry-standard tools like ROS, TensorFlow, and OpenCV will empower participants to confidently navigate real-world AI and robotics challenges."

Duration: 3 Months

Mode of delivery: Virtual

Who Should Attend?

Target Audience:

  • Professionals seeking to advance their careers in AI and robotics.
  • Researchers and academicians aiming to deepen their knowledge.
  • Enthusiasts interested in exploring AI and robotics technologies.

Program Objectives:

  • Equip participants with a comprehensive understanding of artificial intelligence and robotics concepts.
  • Develop practical skills in programming, algorithm design, and system implementation for robotics applications.
  • Provide hands-on experience with robotics hardware and simulation environments.
  • Foster collaboration and teamwork through group projects and problem-solving exercises.
  • Cultivate critical thinking and problem-solving skills necessary for addressing real-world robotics challenges.
  • Prepare participants for careers in robotics engineering, research, or related fields.
  • Promote ethical considerations and responsible practices in the development and deployment of robotic systems.

Learning Outcomes:

By the end of the program, participants will be able to:

  • Gain proficiency in fundamental AI and robotics concepts, including perception, decision-making, and action.
  • Develop practical skills in programming and implementing algorithms for robotics applications.
  • Understand the principles of robot architectures and design for effective system development.
  • Apply mathematical and statistical concepts to analyze and solve robotics problems.
  • Acquire knowledge of advanced topics such as deep learning, reinforcement learning, and computer vision in the context of robotics.
  • Develop the ability to design and implement robotic systems that interact with the environment and perform autonomous tasks.
  • Enhance problem-solving and critical thinking skills through hands-on projects and simulations in robotics.

Program Pre-requisite

Participants are expected to have:

  • Proficiency in at least one programming language, preferably Python or C++.
  • Solid foundation in mathematics, including algebra, calculus, and linear algebra.
  • Basic knowledge of robotics principles and terminology.
  • Understanding of computer architecture, operating systems, and data structures.
  • Experience with software development tools such as IDEs and version control systems.
  • Ability to analyze problems and develop logical solutions.
  • Willingness to engage in self-directed learning and practice outside of scheduled sessions


  • Python
  • Microsoft Azure
  • OpenAI Gym
  • HRI Unity Toolkit
  • AnyLogic

Module 1: Foundations of AI and Robotics

Foundations of AI and Robotics will provide participants with a comprehensive understanding of the fundamental principles and concepts in the fields of artificial intelligence (AI) and robotics. This module will cover essential topics essential to grasp before delving into more advanced techniques and applications. Participants will explore the theoretical underpinnings of AI and robotics, including basic algorithms, data structures, machine learning, and neural networks. Additionally, they will gain insights into robot kinematics and dynamics, laying the groundwork for understanding how robots perceive, decide, and act in their environments. Through a combination of theoretical lectures, practical exercises, and interactive discussions, participants will build a solid foundation in AI and robotics, setting the stage for deeper exploration in subsequent modules.

Module 2: AI in Robotics Control Systems

AI in Robotics Control Systems will focus on the integration of artificial intelligence (AI) techniques into the control systems of robotic platforms. Participants will delve into advanced algorithms and methodologies that enable robots to perceive, interpret, and respond to their environments autonomously. Key topics covered in this module include perception and sensor integration, advanced machine learning algorithms for control, and deep learning techniques tailored for robotics applications. Participants will gain hands-on experience in implementing AI models for robot control using tools such as TensorFlow and ROS. Through practical projects and case studies, participants will learn to design and optimize AI-powered control systems for various robotic tasks, from autonomous navigation to manipulation and interaction with the environment. By the end of this module, participants will be equipped with the knowledge and skills to develop sophisticated AI-driven control systems that enable robots to operate effectively and intelligently in diverse real-world scenarios.

Module 3: Advanced Topics in AI-Enabled Robotics

Advanced Topics in AI-Enabled Robotics will build upon the foundational knowledge acquired in earlier modules to explore cutting-edge techniques and applications at the intersection of artificial intelligence (AI) and robotics.Participants will delve into advanced topics that push the boundaries of what is possible in AI-enabled robotics, including state-of-the-art algorithms for perception, decision-making, and action.This module will cover specialized areas such as multi-modal sensor fusion, reinforcement learning, and human-robot interaction. Participants will engage in hands-on projects and simulations to experiment with these advanced techniques, gaining practical experience in implementing AI algorithms for complex robotic tasks.By the end of this module, participants will be equipped with the expertise to tackle the most challenging problems in AI-enabled robotics and drive innovation in this rapidly evolving domain.

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Program Experience

Program Delivery

Delivered via video lectures.

Real-World Examples

Delivered through a combination of video and live online lectures.

Applications to Data Sets

Learn through individual assignments and feedback.

Debrief of Learnings

Delivered through a combination of recorded and live video lectures.


Upon successful completion of the program, you will earn a certificate of completion from Indepth Research Institute.

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