AI Engineer Professional Course
From AI Concepts to Production-Ready Machine Learning Workflows
Created by Vivian Aranha
Build the skills to design, optimize, and deploy AI systems for real-world applications. Get practical experience with deep learning, NLP, and MLOps using popular frameworks and cloud tools. Move from core AI concepts to production-ready machine learning workflows.
Packt | Sep 2025 | 925 min
What You Will Learn
You will learn by combining theory with hands-on practice, working through interactive labs and real-world projects. As you progress, you'll apply concepts directly to tasks like image classification, text generation, and deploying models to the cloud. Each step reinforces your understanding with practical exercises.
Key Features
- Develop and optimize machine learning models using hyperparameter tuning
- Build and deploy deep learning solutions with CNNs, RNNs, and transformers
- Set up MLOps pipelines and deploy models using Docker, Kubernetes, and cloud platforms
Target Audience
Ideal for AI engineers, data scientists, and developers with Python skills and some machine learning experience. If you want to master deep learning, NLP, and MLOps for building and deploying production-ready AI solutions, this course will help you reach your goals.
