AI Engineer Professional Certificate Course

About this course

Step into the world of advanced AI engineering with the AI Engineer Professional Certificate Course — your complete guide to mastering deep learning, model optimization, transformer architectures, AI agents, and MLOps. This expert-level program is designed for learners who are ready to level up from theory to production, building cutting-edge AI systems using real-world tools and frameworks.

You’ll start with Model Tuning and Optimization, where you’ll learn how to fine-tune hyperparameters using Grid Search, Random Search, and Bayesian Optimization. Discover the impact of regularization, cross-validation, and automated tuning pipelines—crucial for increasing the accuracy and efficiency of your ML models.

Next, dive deep into Convolutional Neural Networks (CNNs), the building blocks of computer vision. You’ll understand how to build CNNs from scratch, learn about convolutional layers, pooling, and dropout, and apply them to image classification, object detection, and more using TensorFlow and PyTorch.

From images to sequences—Recurrent Neural Networks (RNNs) and Sequence Modeling covers the foundational principles of temporal data analysis. Learn how to model time series, text, and speech using RNNs, LSTMs, and GRUs, including how to tackle vanishing gradients and long-term dependencies.

Then, prepare to explore the crown jewel of modern AI—Transformers and Attention Mechanisms.

Read the full description on Udemy on Udemy (opens in a new tab)

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.