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Embedded engineering is evolving rapidly. Innovative technologies are making devices smarter, faster, and more secure. By 2025, these advancements will not only affect embedded engineering, but embedded systems across a wide variety of domains ranging from health care to automotive to manufacturing. This is important information to use whether you are an embedded student, engineer, […]

The embedded systems market is booming globally, valued at around USD 187 billion in 2025 and projected to grow at a 7.4% CAGR to exceed USD 308 billion by 2032. This rapid expansion is driven by the increasing integration of embedded technologies in the automotive, healthcare, industrial automation, IoT, and consumer electronics sectors. In such

Python Edge –Applied ML Internship Duration: 4 WeeksProject Training – Offline / Online Program Summary: Provides hands-on training in Python programming and applied machine learning. Covers essential Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn. Exploring data cleaning, preprocessing, visualization, and exploratory data analysis (EDA). Deep insights on machine learning algorithms for regression, classification,

Design Verification using SystemVerilog Duration: 4 WeeksProject Training – Offline / Online Program Summary: Covers System Verilog concepts and verification methodologies. Includes testbench architecture, assertions, and coverage. Hands-on labs from RTL to complete testbenches. Introduces UVM and functional verification strategies. Final project on protocol/interface verification using SV Program Outcomes: Write synthesizable System Verilog and testbenches.

IoT-Enabled Embedded Systems Duration: 4 WeeksProject Training – Offline / Online Program Summary: Introduce IoT architecture, microcontroller selection, and MicroPython programming basics. Integrate digital and analog sensors with ESP32 using GPIO, ADC, and interrupt handling. Control actuators and interface input/output devices like keypads and displays. Enable wireless communication and cloud integration using Wi-Fi, ThingSpeak, Blynk,

Deep Learning Architect Internship Duration: 4 WeeksProject Training – Offline / Online Program Summary: Covers Python, data analysis, machine learning, and deep learning concepts. Hands-on labs using tools like Pandas, Scikit-learn, and TensorFlow/Keras. Focus on real-world problem-solving and end-to-end ML/DL workflows. Includes capstone projects such as image classification and sentiment analysis. Emphasizes practical skills, model

Build Advanced Embedded Systems using ARM Cortex-M3 Duration: 4 WeeksProject Training – Offline / Online Program Summary: Introduces ARM Cortex-M3 architecture and toolchain setup. Covers core exception handling and interrupt mechanisms. Provides hands-on with GPIO, ADC, Timers, PWM, and communication protocols. Demonstrates interfacing with peripherals like LCD, Keypad, Motors, and EEPROM. Includes practical experiments using

Advanced RTL Designs with Protocols Duration: 4 WeeksProject Training – Offline / Online Program Summary: Introduction to VLSI design flow and Verilog HDL fundamentals. Hands-on learning of gate-level, dataflow, and behavioral modeling. Design of combinational and sequential digital circuits using Verilog. Implementation of UART, SPI, I²C, and AXI communication protocols. System-level integration of multiple RTL

The career prospects and scope of VLSI Design (Very Large Scale Integration) in 2025 look very promising, especially with the global push for semiconductor independence, AI acceleration, IoT expansion, and 5G/6G rollouts. Here’s a detailed look at what you can expect: Global Semiconductor Boom• Countries are investing heavily in semiconductor manufacturing (e.g., US CHIPS Act,

Careers in the Embedded Systems domain are going strong in 2025 — and even evolving rapidly thanks to the rise of AI, IoT, automotive tech, and edge computing. If you’re thinking about jumping into this space (or growing within it), here’s a breakdown of what the landscape looks like in 2025: Career Paths in Embedded