GPU-Accelerated AI Engineering & Model Optimization

⏱ Duration & Time: 40 hrs (Mo - Fr, 9:30AM - 5:30PM)

📅 Next Course Date: 10th August

👥 Participants: Approx. 15

🌐 Location: Remote (live online sessions with instructors)

🗣 Course Language: English

💳 Course Fee: €1,800 (Special Offer - €1,600)

🎓 Completion: Certificate of Completion (DeepStackAI)

💼 Future Job Opportunities: AI Engineer, Machine Learning Engineer, Deep Learning, Engineer, GPU/High Performance Computing Specialist, AI Infrastructure Engineer

Expected Salary: €80,000 – €110,000 per year

Course Overview

Modern AI workloads demand speed and efficiency. In this course, you’ll learn how to leverage GPUs to dramatically accelerate machine learning workflows, optimize deep learning models, and reduce computational costs without sacrificing performance.

Through real world projects, you’ll gain experience with parallel computing, memory optimization, distributed training, and inference acceleration skills that are highly demand in today’s AI driven industries.

Who This Course Is For?

This course is designed for software engineers who want to transition into AI, as well as data scientists looking to optimize their models. It is also ideal for machine learning engineers who want to deepen their expertise in performance optimization. Anyone interested in building and working with high performance AI systems will benefit from this course.

What You’ll Learn?

In this course, you will gain a strong understanding of GPU architecture and the fundamentals of parallel computing. You will learn the basics of CUDA programming and explore techniques to accelerate model training. The course also covers memory and compute optimization, helping you improve performance and efficiency. Additionally, you will study distributed training strategies, model compression, and quantization methods, as well as how to deploy high performance inference systems in real world environments.

A quick overview of all content

Starting dates: GPU-Accelerated AI Engineering & Model Optimization

10th Aug - 14th Aug

2nd Nov - 6th Nov