Break Into AI in 2025: Your Complete 6-Month Learning Path

Author(s): Elangoraj Thiruppandiaraj

Originally published on Towards AI.

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As someone who transitioned from Electronics Engineering backgroud to becoming a Data Scientist specializing in Large Language Models (LLMs) and Generative AI, I understand the challenges and excitement of breaking into the AI field. In 2025, the landscape has evolved significantly from when I started my journey. Let me share a practical learning path for breaking into AI, whether you’re starting fresh or transitioning from another field. Drawing from my own journey and industry experience, I’ll focus on the skills and knowledge that matter most in today’s AI landscape.

Photo by John Schnobrich on Unsplash

When I began my transition into AI, the field was heavily focused on traditional machine learning and neural networks. Today, Large Language Models have revolutionized how we approach AI problems. They’ve become the foundation models that can adapt to mutiple task with minimal fine-tuning. Having worked across different roles and industries, I’ve seen firsthand how LLMs are transforming industries:

Automated Analytics & Reporting: LLMs like GPT-4 are turning “Can you analyze this sales data?” into instant, comprehensive reports with visualizations and insights — a task that once took… Read the full blog for free on Medium.

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Published via Towards AI