AI Engineer Development Plan
Artificial intelligence (AI) engineers are responsible for developing, programming and training the complex networks of algorithms that make up AI so that they can function like a human brain. This role requires combined expertise in software development, programming, data science and data engineering. Though this career is related to data engineering, AI engineers are rarely required to write the code that develops scalable data sharing. Instead, artificial intelligence developers locate and pull data from a variety of sources, create, develop and test machine learning models and then utilize application program interface (API) calls or embedded code to build and implement AI applications.
Explore the AI engineer career development collection
The journey to becoming a proficient AI engineer involves a series of deliberate steps, ranging from acquiring new skills to pursuing relevant certifications or even exploring degree options. We understand that each individual's career goals and circumstances are unique, which is why we offer a personalized approach to cater to your aspirations.
This collection was curated by Coursera
All courses include:
✅ 100% online
✅ Free to audit
✅ Mobile learning
✅ Videos and readings from professors at world-renowned universities and industry leaders
✅ Practice quizzes
Learn New Skills
Python
Beginner Course: Data Analysis with Python (IBM)
Beginner/Intermediate Course: Programming for Everybody (Getting Started with Python) (UMich)
Intermediate Course: Machine Learning with Python (IBM)
Machine Learning
Beginner Course: Supervised Machine Learning: Regression and Classification (DeepLearning.AI)
Beginner Course: Mathematics for Machine Learning: Linear Algebra (Imperial College London)
Intermediate Course: Machine Learning with Python (IBM)
Deep Learning
Intermediate Course: Introduction to Deep Learning (CU Boulder)
Intermediate Course: Generative AI with Large Language Models (DeepLearning.AI)
Intermediate Course: Deep Learning and Reinforcement Learning (IBM)
Natural Language Processing (NLP)
Intermediate Course: Natural Language Processing with Probabilistic Models (DeepLearning.AI)
Intermediate Course: Natural Language Processing with Attention Models (DeepLearning.AI)
Advanced Course: AI Workflow: Machine Learning, Visual Recognition and NLP (IBM)
Neural Network
Intermediate Course: Neural Networks and Deep Learning (DeepLearning.AI)
Intermediate Course: Deep Neural Networks with PyTorch (IBM)
Intermediate Course: Convolutional Neural Networks (DeepLearning.AI)
TensorFlow
Intermediate Course: Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (DeepLearning.AI)
Intermediate Course: Advanced Computer Vision with TensorFlow (DeepLearning.AI)
Advanced Course: Probabilistic Deep Learning with TensorFlow 2 (Imperial College London)
Get a Certificate
Beginner: IBM Applied AI Professional Certificate
Beginner: Getting Started with Generative AI API Specialization
Beginner: IBM DevOps and Software Engineering Professional Certificate
Intermediate: IBM AI Engineering Professional Certificate
Advanced: Machine Learning Engineering for Production (MLOps) Specialization
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