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Compare degrees, bootcamps, course platforms and certificates. Every school is rated only by verified learners on Training Quality, Cost and Support & Mentorship.
★ Featured AI Engineering Programs
Picked by our editors for depth and relevance, never for payment. Scores come only from verified learners on Training Quality, Cost and Support & Mentorship.
by Hugging Face
A free course on how AI agents work and how to build them with smolagents, LlamaIndex and LangGraph.
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by AWS Training and Certification
Associate-level AWS exam covering how to build, deploy and operate machine learning workloads with Amazon SageMaker and related AWS services.
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A three-course beginner introduction to machine learning, covering regression, classification, neural networks, unsupervised learning, recommenders and reinforcement learning.
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Cost
$30/mo
by Georgia Tech
A 30-credit-hour online computer science master's degree; the Machine Learning specialization covers 15 of those hours.
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Cost
$681/course
by fast.ai
A free video course on applying deep learning and machine learning to vision, text, tabular and recommendation problems with PyTorch and fastai.
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A 6-week live cohort on Maven where engineers build and deploy LLM applications, covering RAG, agents, evals, context engineering and production deployment.
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Cost
$3,000
AI Engineering & Education News
New AI engineering programs, curriculum updates, pricing changes and the skills employers are hiring for.
What does an AI engineer do? The daily work, skills, tools and teammates behind the role in 2026, and how it differs from ML engineering.
• An AI engineer is a software engineer who builds, evaluates and runs products powered by foundation models such as large language models.
How to become an AI engineer in 2026: the skills to learn in order, portfolio projects, which certifications still exist, and how to pick training.
• AI engineering means building products on top of existing foundation models, not training models from scratch, so strong software skills matter most.
AI engineer vs ML engineer vs data scientist: what each role does, the skills, certifications and pay data behind them, and how to choose in 2026.
• AI engineers build products on existing foundation models, ML engineers train and operate models, and data scientists turn data into answers and predictions.
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