Our Advanced AI and Applications course is designed for professionals and enthusiasts looking to deepen their expertise in Artificial Intelligence (AI) and Machine Learning (ML). This course covers advanced topics such as deep learning architectures (CNNs, RNNs, Transformers), reinforcement learning, generative AI, and edge AI deployment. Participants will gain hands-on experience with TensorFlow, PyTorch, and OpenCV, working on real-world applications like computer vision, NLP, autonomous systems, and AI-driven IoT solutions. The training also explores AI model optimization, explainability (XAI), federated learning, and ethical AI considerations. Through project-based learning and interactive case studies, attendees will develop the skills needed to implement AI in healthcare, finance, robotics, cybersecurity, and industrial automation, making this workshop ideal for those aiming to innovate and lead in the AI-driven era.
Our AI-Driven Antenna Design course and training workshop combines Artificial Intelligence (AI) and Machine Learning (ML) with antenna design and optimization, offering a cutting-edge approach to RF engineering. Participants will learn how AI accelerates antenna modeling, performance prediction, and automated optimization using tools like MATLAB, HFSS, CST Studio, and Python-based ML frameworks. Key topics include AI-based parametric modeling, deep learning for pattern recognition, evolutionary algorithms for antenna optimization, and reinforcement learning for adaptive antenna systems. The training covers real-world applications in 5G, satellite communications, IoT, and radar systems, demonstrating how AI enhances efficiency, reduces design cycles, and improves antenna performance.
Our PCB Design course and training workshop using Altium Designer provides a comprehensive learning experience, covering the complete PCB design workflow from schematic creation to final board layout and manufacturing. Participants will gain hands-on expertise in designing multi-layer PCBs, high-speed circuits, signal integrity optimization, and EMI/EMC compliance. The training includes component selection, schematic capture, routing techniques, DFM (Design for Manufacturability), and 3D visualization, ensuring designs meet industry standards. Through real-world projects and guided exercises, attendees will master best practices for power distribution, thermal management, and PCB prototyping. Whether you're a beginner or an experienced designer, this course will equip you with the skills to create efficient, reliable, and production-ready PCB designs.
Our EMC/EMI course and training workshop provides a solid foundation in Electromagnetic Compatibility (EMC) and Electromagnetic Interference (EMI), essential for designing compliant and interference-free electronic systems. Participants will learn about sources of EMI, mitigation techniques, shielding methods, grounding strategies, and filtering solutions to ensure reliable circuit performance. The training covers industry standards and regulatory requirements (such as FCC, CISPR, and IEC), helping attendees understand pre-compliance and compliance testing procedures. Hands-on sessions include simulation techniques, PCB layout strategies for EMI reduction, and real-world case studies to reinforce learning. This course is ideal for engineers, designers, and product developers looking to enhance their knowledge of EMC/EMI best practices for PCB design, power electronics, and RF systems.
Our AI and Machine Learning course and training workshop provides a foundational understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts, tools, and applications. Participants will explore key topics such as supervised and unsupervised learning, neural networks, deep learning, and data preprocessing techniques. The training includes hands-on experience with popular AI/ML frameworks like TensorFlow, PyTorch, and Scikit-Learn, enabling attendees to build, train, and deploy machine learning models. Practical sessions cover feature engineering, model evaluation, and optimization techniques, with real-world applications in predictive analytics, image recognition, natural language processing (NLP), and IoT-based AI solutions. This course is designed for beginners and professionals looking to integrate AI/ML into their projects, enhancing their skills for data-driven decision-making and automation.
Our Hands-on InLab Open RAN Deployment and Testing Training & Workshop offers a practical, in-depth experience in deploying and testing Open RAN (O-RAN) networks. Participants will gain hands-on skills in setting up and configuring Open RAN components such as Radio Units (RU), Distributed Units (DU), Centralized Units (CU), and RAN Intelligent Controllers (RIC) using industry-standard tools and platforms. The workshop covers network planning, deployment strategies, performance testing, and troubleshooting techniques to ensure optimal network operation. Attendees will also explore real-world scenarios, including RF testing, throughput measurement, latency analysis, and integration with core networks. With expert guidance, participants will learn how to simulate, deploy, and validate 5G and future 6G O-RAN networks in a controlled lab environment. This training is perfect for network engineers, telecom professionals, and researchers looking to deepen their understanding of Open RAN deployment and testing in next-generation wireless communication systems.
Our Basics of Reconfigurable Intelligent Surfaces (RIS) Training & Workshop introduces participants to the emerging field of RIS technology, a game-changer in wireless communication, 6G networks, and smart radio environments. This course covers the fundamentals of metasurfaces, electromagnetic wave manipulation, beamforming, and tunable reflectarrays, along with their role in signal enhancement, interference mitigation, and energy efficiency. Participants will gain hands-on experience with simulation tools like CST Studio, HFSS, and MATLAB, exploring RIS design principles, control mechanisms, and hardware implementations. Real-world applications in 5G/6G, IoT, MIMO systems, and smart cities will be discussed, providing a deep understanding of how RIS can revolutionize modern communication networks. Ideal for researchers, engineers, and professionals, this training equips attendees with the knowledge to design and implement intelligent surfaces for next-generation wireless systems.
Our course on RF & THz Sensing will provide a comprehensive overview of sensor technologies, principles, and applications across various industries. Participants will explore different types of sensors, including optical, acoustic, thermal, pressure, motion, and electromagnetic sensors, along with their working principles and integration methods. The training covers signal processing, sensor calibration, data acquisition, and wireless sensor networks (WSN), with practical hands-on experience using Arduino, Raspberry Pi, and IoT platforms. Real-world applications in industrial automation, healthcare, smart cities, environmental monitoring, and autonomous systems will be discussed. This course is ideal for engineers, researchers, and professionals looking to develop expertise in sensor-based systems, real-time monitoring, and IoT-enabled smart technologies.
Please contact us to arrange trainings and workshops tailored to your needs. If you have any specific topics you'd like us to cover, feel free to reach out, and we’ll provide a customized solution.
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