Breaking into AI
50 Skills That Will Get You Hired in 2026
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ナレーター:
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Douglas Birk's voice replica
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著者:
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Tom Anderson
この作品は、デジタルナレーションを使用しています
概要
Master the AI Skills That Actually Get You Hired in 2026
Ready to break into artificial intelligence but unsure which skills employers actually need?
The AI job market is exploding, but most people get stuck learning theory while companies need practical skills. Breaking Into AI reveals the exact 50 artificial intelligence skills that get you hired in machine learning engineer, AI developer, and data scientist positions.
Get Hired Faster with Job-Ready AI Skills:
This AI career guide teaches you the specific AI skills employers want when filling positions. Whether you're breaking into artificial intelligence from software engineering, data analysis, or another field entirely, you'll master:
- Core AI Job Skills: Python programming, neural networks, deep learning (TensorFlow, PyTorch), and machine learning skills for jobs that hiring managers actually require
- Modern AI Tools: Natural language processing, computer vision, prompt engineering, large language models, and MLOps deployment — the AI skills training that makes you immediately productive
- Get Hired Strategy: Build GitHub portfolios that demonstrate your artificial intelligence skills, ace technical interviews, and position yourself as the candidate employers choose
- Business-Ready Skills: Understand AI applications across industries, communicate with stakeholders, and deliver measurable value — the complete AI engineer skills development that advances careers
Perfect for Anyone Wanting to Get Hired in AI:
• Software developers adding machine learning job skills to transition into AI roles
• Data professionals building the AI skills that lead to promotions and better positions
• Career changers breaking into artificial intelligence from other industries
• Self-taught programmers developing the credible AI skills employers want
• Anyone serious about getting hired in artificial intelligence in 2026
©2026 Tom Anderson (P)2026 Tom Anderson