Coursera Certificate 0

AI Engineer Professional

Name: AI Engineer Professional
Price: 49 USD
Availability: InStock

About this course

This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. Throughout this specialization, learners will build advanced AI engineering skills by mastering topics like model tuning, optimization, convolutional and recurrent neural networks, transformers, and MLOps. You'll gain hands-on experience in hyperparameter tuning, building deep learning models, and using AI techniques such as transfer learning and fine-tuning to develop state-of-the-art AI solutions. The specialization begins with an introduction to machine learning optimization techniques, focusing on hyperparameter tuning and cross-validation. From there, you’ll progress to building deep learning architectures using CNNs and RNNs for computer vision and sequence modeling tasks. As you continue, you’ll explore advanced AI topics like transformer architectures and attention mechanisms, essential for modern NLP tasks. The specialization also covers MLOps practices, including deployment, containerization with Docker, and orchestration with Kubernetes. This specialization is perfect for learners with a background in machine learning, deep learning, and Python programming. By the end, you will be able to implement hyperparameter tuning strategies and design CNNs and RNNs for AI tasks.

75/100

CourseAsk score

What the provider tells you: 39/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

hyperparameter tuning strategies
designing convolutional neural networks (CNNs)
designing recurrent neural networks (RNNs)
applying AI techniques like transfer learning and fine-tuning

Course objectives

master advanced AI engineering skills
build and optimize deep learning models
understand MLOps practices for AI deployment

Machine Learning Artificial Intelligence Deep Learning #deep learning #machine learning #mlops #fine-tuning #transfer learning #computer vision #natural language processing #kubernetes #docker #optimization #hyperparameter tuning #ai #cnn #rnn #sequence modeling

$49.00

Price shown by Coursera — confirm on their site.

Enroll on Coursera

You'll be redirected to Coursera to complete enrollment.