Fine-Tuning Courses and Certifications

DevOps and AI on AWS: Upgrading Apps with Generative AI

36 ratings at Coursera

Master AWS DevOps with Generative AI integration, enhancing applications using Amazon Bedrock's LLMs. Learn prompt engineering, RAG, fine-tuning, and essential DevOps practices for seamless AI implementation in your development lifecycle.

• Coursera
• 7 hours 36 minutes
• Self-Paced
• Paid Course

Coursera

Machine Learning with ChatGPT: Image Classification Model

35 ratings at Coursera

Build a machine learning model for image classification using ChatGPT. Learn fine-tuning, data preparation, model architecture, training, and evaluation with the MNIST database of handwritten digits.

• Coursera
• 2 hours 41 minutes
• Self-Paced
• Paid Course

Getting started with generative AI in Azure

25 ratings at Coursera

Discover how to build intelligent applications using Microsoft Azure's generative AI tools through hands-on projects, from fundamentals to ethical implementation.

• Coursera
• 17 hours 2 minutes
• Self-Paced
• Paid Course

Generative AI - The Ultimate Guide! Beginner to Leader in AI

1120 ratings at Udemy

Master the core concepts of Generative AI and advanced techniques in - ChatGPT, Stable Diffusion, Prompt Engineering

• Udemy
• 5 hours 11 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

PyTorch: Techniques and Ecosystem Tools

19 ratings at Coursera

Master advanced PyTorch optimization, computer vision with TorchVision, NLP with Hugging Face, and efficient training pipelines for production-ready deep learning models.

• Coursera
• 1 day 8 hours 58 minutes
• Self-Paced
• Paid Course

Career Certificate

LLM Application Engineering and Development Certification

19 ratings at Coursera

Master LLM application engineering with LangChain workflows, fine-tuning techniques, and evaluation benchmarks to build scalable GenAI solutions for real-world deployment.

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

Machine Learning Rapid Prototyping with IBM Watson Studio

17 ratings at Coursera

Explore automated AI capabilities for rapid prototyping in machine learning using IBM Watson Studio's AutoAI tool, focusing on data preparation, model selection, and hyperparameter optimization.

• Coursera
• 8 hours 53 minutes
• Self-Paced
• Paid Course

H2O.ai Career Certificate

Large Language Models

15 ratings at Coursera

Master the fundamentals and advanced concepts of Large Language Models through hands-on training with H2O.ai tools, from basic NLP principles to sophisticated fine-tuning techniques.

• Coursera
• 4 weeks, 1 hour/week
• Self-Paced
• Paid Course
• 3 courses

Fractal Analytics

Advanced Machine Learning Algorithms

14 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

Coursera

OpenAI: Consistent Response Strategies

14 ratings at Coursera

Learn strategies to enhance AI-generated responses' consistency using OpenAI's language models. Explore fine-tuning, prompt engineering, and post-processing techniques to improve reliability and user satisfaction.

• Coursera
• 2 hours 36 minutes
• Self-Paced
• Paid Course

Introducing Multimodal Llama 3.2

13 ratings at Coursera

Master the latest Llama 3.1 and 3.2 capabilities, from multimodal vision features to custom tool calling. Build practical applications using the new Llama Stack API and explore advanced image reasoning for real-world scenarios.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Whizlabs

NVIDIA: LLM Experimentation, Deployment, and Ethical AI

12 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

EDUCBA

Credit Default Prediction with Python: Apply & Analyze

12 ratings at Coursera

Master credit default prediction using Python through logistic regression, decision trees, and ensemble methods with hands-on data preprocessing and model optimization techniques.

• Coursera
• 5 hours 52 minutes
• Self-Paced
• Paid Course

Large Language Models (Using Huggingface) (Live Online)

8 ratings at CourseHorse

Tap into the capabilities of large language models using Hugging Face in this comprehensive 3-day course.

• CourseHorse
• 20 hours
• Self-Paced
• $1,495.00