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In this video by Simplilearn, explore the complete **VLSI Design Roadmap** and understand how to build a successful career in the semiconductor industry.
Learn the fundamentals of VLSI design, including digital electronics, semiconductor basics, Verilog, SystemVerilog, RTL design, simulation, verification, and advanced chip design concepts.
This roadmap covers the essential skills, tools, and technologies required to become a VLSI design engineer and helps beginners understand the right learning path to enter the world of semiconductor and integrated circuit design.
Discover career opportunities in VLSI, the role of hardware design engineers, verification engineers, and physical design engineers, along with the skills needed to stay industry-ready in 2026.
Whether you are a student, electronics enthusiast, or professional looking to transition into semiconductor technology, this VLSI Design Roadmap will guide you through the key concepts and career steps to build expertise in chip design.
Subscribe to Simplilearn for more career roadmaps, technology insights, and skill-building content.
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➡️ About AI Accelerator Program: From Prompts to Agentic Workflows
Go from no coding background to shipping real AI products in 8 weeks. Most programs conclude at general AI usage but here, you begin with software design thinking, followed by Python, prompt engineering, AI-assisted coding, RAG application development, workflow automation, and agentic systems — finishing with work you can demonstrate, not just a certificate.
Key Features
✅ Explore a structured curriculum designed for ambitious professionals ready to build with AI from the ground up.
✅ Start without prior coding or AI tool experience and upskill to building agentic automation
✅ Master prompt engineering techniques across leading AI tools and frameworks, including ChatGPT, Claude, Claude Code, and LangChain
✅ Learn vibe coding to rapidly prototype, improve, and ship AI-powered applications with guided AI support
✅ Gain hands-on exposure to AI-assisted coding, debugging, testing, documentation, and GitHub workflows
✅ Build practical LLM applications using modern frameworks, AI memory, knowledge retrieval, and autonomous agents to solve real-world business problems
✅ Learn to create RAG applications that can work with external knowledge sources and real-world use cases
✅ Learn to build end-to-end AI workflows that connect tools, databases, and intelligent agents to automate real business processes and decision-making
Skills Covered
✅ Python Programming Fundamentals
✅ Computational Thinking
✅ Problem Solving
✅ Prompt Engineering
✅ AI Assisted Coding and Debugging
✅ Vibe Coding
✅LangChain Basics
✅ RAG Application Building
✅ APIs and External Tools
✅ Workflow Automation Using n8n
✅ Personal AI Assistants With OpenClaw
✅ Introductory Agentic AI Design
✅ Deployment Readiness
? Enroll Now: https://www.simplilearn.com/ai-accelerator-program?utm_campaign=KDV6KZPP7-I&utm_medium=Comments&utm_source=Youtube