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Advanced
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AI Engineer Professional
Coursera · Packt · Updated March 2026
Platform rating
4.4/5
AI Tutor Rating
8.2/10
Duration
1-3 months
Classes
60
Advanced specialization covering MLOps, CNNs, RNNs, generative AI agents, LangGraph, Keras, and production-ready AI systems.
What you'll get
Build end-to-end ML pipelines with CI/CD
Deploy deep learning models to production
Build multimodal AI systems
Fit
Best for
Software Engineers
DevOps/MLOps Engineers
Data Engineers
Platform Engineers
Not ideal for
Complete beginners
Non-technical learners
Prerequisites & pricing
Prerequisites
Python, intermediate ML
Pricing
Subscription
Certification
Certificate
Growth Leverage: Completing the AI Engineer Professional course can lead to roles such as MLOps Engineer, AI Solutions Architect, or Data Scientist specializing in deep learning. The certification enhances eligibility for industry-recognized certifications like the Google Professional Machine Learning Engineer.
Skills Value: Skills in deploying deep learning models and building ML pipelines are highly sought after, often commanding salaries 20-30% higher than average software engineering roles due to the rapid market demand for AI expertise in sectors like finance, healthcare, and tech.
AI Engineering
MLOps
CNN
RNN
LangGraph
Generative AI