Hyperparameter Tuning Courses and Certifications

Prompt Engineering Frameworks & Methodologies

3076 ratings at Udemy

Master Proven Techniques to Design, Tune, and Evaluate High-Performing Prompts for LLMs

• Udemy
• 3 hours 10 minutes
• Self-Paced
• Paid Course

Tuning GPT-3 on a Single GPU via Zero-Shot Hyperparameter Transfer

1 rating

Discover how to tune GPT-3 hyperparameters efficiently on a single GPU using µTransfer, a technique based on the maximal update parametrization that enables optimization of large language models with minimal resources.

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

Packt

Foundations and Core Concepts of PyTorch

55 ratings at Coursera

Master PyTorch fundamentals: from setup to advanced modeling. Build neural networks, optimize performance, and apply deep learning techniques to real-world problems using hands-on exercises and practical implementations.

• Coursera
• 6 hours 49 minutes
• Self-Paced
• Paid Course

Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2)

1112 ratings at Udemy

How to Turn Deep Reinforcement Learning Research Papers Into Agents That Beat Classic Atari Games

• Udemy
• 6 hours 45 minutes
• Self-Paced
• Paid Course

Fractal Analytics

Advanced Machine Learning Algorithms

12 ratings at Coursera

Explore advanced machine learning algorithms, from regularization to ensemble methods. Master feature engineering, hyperparameter tuning, and model selection for enhanced predictive accuracy and real-world applications.

• Coursera
• 20 hours 43 minutes
• Self-Paced
• Paid Course

Whizlabs

NVIDIA: LLM Experimentation, Deployment, and Ethical AI

10 ratings at Coursera

Master advanced LLM experimentation techniques, deployment strategies, and ethical AI principles using NVIDIA tools. Optimize AI workflows with BioNeMo, Triton, and TensorRT while ensuring responsible development practices.

• Coursera
• 4 hours 35 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

AI Engineer Professional

Master advanced AI engineering through model optimization, deep learning architectures, transformers, and MLOps practices for production-ready solutions.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Packt

Foundations of Model Optimization and Deep Learning

Master model optimization and CNNs through hyperparameter tuning, regularization techniques, and hands-on image classification projects using Keras, TensorFlow, and PyTorch.

• Coursera
• 7 hours 7 minutes
• Self-Paced
• Paid Course

LLM Fine-Tuning and Customization Training

Master LLM fine-tuning with PEFT, RLHF, and supervised methods. Optimize domain-specific models, prepare datasets, tune hyperparameters, and deploy using GenAI frameworks through hands-on demos.

• Coursera
• 4 hours 48 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

Azure ML Bootcamp: Machine Learning on the Cloud

Master Azure Machine Learning from foundations to advanced MLOps deployment, building and operationalizing models with hands-on cloud experience and real-world applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Whizlabs

AWS: Model Training , Optimization & Deployment

Master AWS machine learning workflows through SageMaker algorithms, hyperparameter tuning, and scalable deployment strategies for the MLA-C01 certification exam.

• Coursera
• 8 hours 37 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

AI Engineer Associate

Master essential AI engineering skills through feature engineering, deep learning frameworks, and AI agent development for real-world applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera Career Certificate

Train, Tune, & Ship: End-to-End Machine Learning Engineering

Master the complete ML engineering lifecycle, from training and tuning models to deploying optimized, production-ready systems using PyTorch, TensorFlow, and scikit-learn.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 11 courses

Packt

Mastering Image Segmentation with PyTorch

Explore image segmentation with PyTorch, from basics to advanced techniques. Learn CNNs, semantic segmentation, and tackle real-world projects to master this crucial aspect of computer vision.

• Coursera
• 6 hours 29 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning with Keras and Practical Applications

Master deep learning with Keras: from wine quality prediction to advanced image classification using CNNs, transfer learning, and GPU acceleration. Optimize models, implement data augmentation, and deploy in real-world scenarios.

• Coursera
• 9 hours 44 minutes
• Self-Paced
• Paid Course