GPU Acceleration Courses and Certifications

KodeKloud

ML Model Development and Tracking: Hands-on Guide

Master MLOps "Middle Loop" with MLflow tracking, model versioning, and production deployment through hands-on insurance claim automation project.

• Coursera
• 3 hours 3 minutes
• Self-Paced
• Paid Course

AI Infrastructure: Deployment Types

Explore Google Cloud's AI infrastructure deployment strategies, from Compute Engine to Kubernetes, with hands-on cluster creation and inference optimization techniques.

• Coursera
• 5 hours 11 minutes
• Self-Paced
• Paid Course

Coursera

Scale Kubernetes: Optimize Your Systems

Master advanced Kubernetes resource optimization for ML/AI workloads through HPA configuration, utilization analysis, and cost-effective scaling strategies in production environments.

• Coursera
• 1 hour 50 minutes
• Self-Paced
• Paid Course

Coursera

Deploy and Optimize Cloud AI Architectures

Master scalable ML deployment on Amazon SageMaker with distributed training, Spot Instances, autoscaling, and cost optimization through GPU monitoring and CloudWatch metrics.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

Coursera

Optimize AI: Build Fast Efficient Pipelines

Master building fast, efficient AI training and inference pipelines by optimizing data loading, computational graphs, and GPU utilization to reduce latency and boost performance.

• Coursera
• 1 hour 28 minutes
• Self-Paced
• Paid Course

Cisco

Cisco UCS-X Infrastructure Design for AI Workloads

Explore Cisco UCS X-Series architecture, AI workload sizing, GPU deployment, and automation with Cisco Intersight to design and manage high-performance, scalable data center infrastructure.

• Coursera
• 11 hours
• Self-Paced
• Paid Course

Stanford CS336 - Language Modeling from Scratch 2025

Master language model development from tokenization to deployment, covering transformers, GPU optimization, scaling laws, data processing, and alignment techniques in this comprehensive Stanford program.

• YouTube
• 22 hours 19 minutes
• Self-Paced
• Free Video

Associate Generative AI (NCA-GENL) Exam Prep Course 2026

701 ratings at Udemy

Complete, Unofficial Study Guide to Pass the NCA-GENL Exam and Earn Your Generative AI Specialist Credential

• Udemy
• 15 hours 59 minutes
• Self-Paced
• Paid Course

The Machine Learning Engineer

LLMOps: Acelerar Inferencia en GPU de LLMs usando TensorRT-LLM

Acelera la inferencia de LLMs en GPU utilizando TensorRT-LLM. Aprende a optimizar el rendimiento y mejorar la eficiencia de tus modelos de lenguaje de gran escala.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Unity VFX Graph - Beginner To Intermediate

579 ratings at Udemy

Learn the new Visual Effect tool from Unity and start making some awesome Magic Effects.

• Udemy
• 4 hours 17 minutes
• Self-Paced
• Paid Course

Python Simplified

Computer Science Concepts - Programming, Machine Learning, and Software Development Fundamentals

Discover fundamental programming concepts from OOP and recursion to machine learning, cloud computing, and API development through practical Python examples.

• YouTube
• 6 hours 24 minutes
• Self-Paced
• Free Video

TensorFlow

TensorFlow in Google Colaboratory

Discover how to use TensorFlow in Google Colaboratory's free cloud environment. Build neural networks, leverage GPUs/TPUs, and solve ML problems without any setup required.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

CUDA Programming - High-Performance Computing with GPUs

3 ratings

Master CUDA programming for GPU-accelerated computing and deep learning. Covers ecosystem, setup, kernels, API, optimizations, Triton, PyTorch extensions, and practical MNIST implementation.

• freeCodeCamp
• 11 hours 55 minutes
• Self-Paced
• Free Video

Master AI Image Generation using Stable Diffusion

433 ratings at Udemy

Create stunning images using Generative Artificial Intelligence! Step by step with Stable Diffusion and Python!

• Udemy
• 7 hours 51 minutes
• Self-Paced
• Paid Course

Deep learning for object detection using Tensorflow 2

319 ratings at Udemy

Understand, train and evaluate Faster RCNN, SSD and YOLO v3 models using Tensorflow 2 and Google AI Platform

• Udemy
• 9 hours 52 minutes
• Self-Paced
• Paid Course