September 2025

Top VLSI Tools to Learn as a Working Professional

In the fast-evolving semiconductor industry, mastering the top VLSI tools as a working professional can significantly boost career prospects. With the intricate design processes and high demands in chip manufacturing, knowing the right software tools for each stage of VLSI (Very Large Scale Integration) design workflow is crucial. This article dives deep into the essential […]

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Online vs Offline VLSI Courses: What’s Best for Working Professionals?

Very Large-Scale Integration (VLSI) design is one of the hottest categories of the semiconductor and electronics industry today. For working professionals eager to take their careers to the next level by investing in a VLSI course, selecting the best mode of study is important. But with so many different options out there – especially online

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Embedded AI Model Compression Techniques: Corporate Training for Resource-Constrained Devices

Introduction As artificial intelligence (AI) quickly moves through industries, deploying AI models in devices (for example, IoT sensors, drones, medical instruments, and personal mobile devices) is becoming commonplace. Edge and embedded systems are often constrained in memory, compute, and energy. This is the essential question: How do we deploy high-performing AI models on resources-constrained devices?

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Prompt Engineering: The New Must-Have Skill for Data Scientists

In 2025, prompt engineering is becoming a critical skill that all data scientists should learn. Prompt engineering fundamentally changes how data scientists interact with AI, particularly powerful large language models (LLMs), and makes their data workflows faster, smarter, and more effective. Key Takeaways Prompt engineering plays a key role in linking traditional data science to

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Automating Training Content Development Using Gen AI: Benefits & Challenges

The rise of Generative AI (Gen AI) is changing how training content is created across industries. It automates several tasks, allowing organizations to produce personalized and scalable learning materials quickly. However, this technology also brings unique challenges such as data privacy concerns, content quality, and ethical considerations. Key Takeaways Generative AI automates and speeds up

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