Learn AI Engineering
10 expert-rated courses covering AI Engineering. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
Top AI Engineering Courses
IBM AI Engineering Professional Certificate
Professional certificate covering ML algorithms, deep learning frameworks, and deployment workflows including Spark, Keras, PyTorch, and TensorFlow.
The AI Engineer Course 2026: Complete AI Engineer Bootcamp
Comprehensive bootcamp covering AI fundamentals, Python, NLP, LLMs, LangChain, vector databases, and speech recognition.
AI Engineer for Data Scientists Associate Certification
Associate certification validating practical AI engineering capabilities for data scientists, including governance and production development.
The AI Engineering Bootcamp
Intensive bootcamp for engineers building production AI systems with agentic RAG, evals, deployments, and certification challenge milestones.
IBM AI Engineering Professional Certificate
Earn IBM's AI Engineering Professional Certificate. Master deep learning, computer vision, NLP, and model deployment with TensorFlow and PyTorch.
RAG & LLM Engineers
Advanced community for building RAG pipelines, fine-tuning LLMs, and building production AI systems. Vector databases, embeddings, and retrieval optimization.
Level Up From Software Engineer to AI Engineer
Hands-on cohort for software engineers transitioning into AI through OpenAI APIs, RAG, multimodal workflows, and first-agent implementation.
Complete AI Engineer Bootcamp (3 Days)
Hands-on live bootcamp focused on building and deploying a production-ready AI application, covering LLM APIs, RAG, agents, and FastAPI deployment.
AI Native Engineers
Membership program promising a 90-day AI engineer path with 25+ hours of masterclasses, portfolio projects, and support for local and cloud AI project delivery.
AI Engineer Professional
Advanced specialization covering MLOps, CNNs, RNNs, generative AI agents, LangGraph, Keras, and production-ready AI systems.