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Artificial Intelligence And Robotics
Dipoma in
course overview
The one-year course in AI & Robotics spans two semesters and offers a practical-oriented approach to learning. It covers essential subjects including robotics, graphical engineering design, Python programming, machine learning, and the Robot Operating System (ROS). Practicality is at the core of the curriculum, allowing students to gain hands-on experience and real-world skills.
In the first semester, students are introduced to the fundamentals of AI and robotics, focusing on core principles and concepts. This includes hands-on training in graphical engineering design, where they learn to create and manipulate 2D and 3D graphics. Simultaneously, they build a strong foundation in Python programming, a crucial skill for AI and robotics applications. This semester provides the necessary groundwork for students to embark on their AI and robotics journey.In the second semester, the program delves into more advanced topics. Machine learning takes center stage, with students studying various algorithms and their applications in robotics and AI. Simultaneously, they explore the Robot Operating System (ROS), learning to develop, simulate, and control robotic applications. Advanced Robotics Projects, the capstone course, enables students to work on real-world projects, applying their knowledge and problem-solving skills.
Pg Dipolma in
Artificial intelligence And Machine Learning
The PG Diploma in Artificial Intelligence (AI) and Machine Learning (ML) is an intensive 8-month program that combines practical learning with a strong emphasis on projects. During the course, students will immerse themselves in AI and ML technologies, including machine learning, deep learning, OpenCV, natural language processing, and Python programming with relevant libraries.
The program's structure includes 6 months of intensive practical classes where students gain hands-on experience and a deep understanding of AI and ML concepts and tools. This practical approach allows them to work on real-world problems and develop the skills required for this rapidly evolving field.
One of the distinguishing features of this PG diploma is the 2-month internship component, which provides students with a valuable opportunity to apply their knowledge and gain real-world experience in AI and ML. This practical exposure in an industry or research setting equips them with the insights and skills required to excel in their careers.
course overview
The course is highly project-oriented, and students will work on projects that apply their learning to real-life scenarios. These projects will encompass various aspects of AI and ML, allowing students to demonstrate their expertise and build a strong portfolio.
Upon completing the PG Diploma in AI & ML, students will have a comprehensive understanding of AI and ML technologies, practical experience, and a portfolio of projects to showcase their skills. This program is designed to prepare graduates for rewarding careers in the field of artificial intelligence and machine learning, where the demand for skilled professionals continues to grow.
Project-Based Learning
Robot Operating System
Pg Dipolma in
Welcome to iHub School of Learning, where we offer an immersive and comprehensive Postgraduate Diploma in Robot Operating System (ROS). Over the course of 6 months of classes and a 2-month internship, students will delve into the intricacies of ROS, gaining a deep understanding of its architecture and philosophy. The program covers fundamental concepts such as setting up the ROS workspace environment, working with nodes, topics, and messages, and utilizing the Catkin build system. Hands-on experience is emphasized through practical sessions on creating ROS packages, developing ROS programs, and exploring 3D visualization with the Gazebo simulator. Students will also learn to deploy ROS services, implement ROS actions, and use simulated time in ROS applications. The curriculum extends to advanced topics like exploring robot models, utilizing the TF transformation system, and understanding the Simulation Description Format (SDF). With a focus on real-world applications, debugging strategies, and troubleshooting, this program equips students with the skills needed for a successful career in ROS development. Join iHub School of Learning and take the next step towards creating innovative and impactful ROS projects
