Language Models Courses and Certifications

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

Coursera

Generative AI and Large Language Models

12 ratings at Coursera

Discover generative AI fundamentals, from GANs to transformers, with hands-on experience using GPT, Hugging Face, and diffusion models for real-world applications.

• Coursera
• 1 day 3 hours 16 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

H2O.ai

H2O ai Large Language Models (LLMs) - Level 1

Dive into foundational concepts of Large Language Models, exploring neural networks, transformer architecture, and practical applications while mastering pre-training and fine-tuning techniques.

• Coursera
• 1 hour 14 minutes
• Self-Paced
• Paid Course

Whizlabs

NVIDIA: Large Language Models and Generative AI Deployment

Master the deployment and optimization of Large Language Models through hands-on training in model fundamentals, GPU-accelerated training techniques, PEFT methods, and ONNX-based monitoring strategies.

• Coursera
• 4 hours 24 minutes
• Self-Paced
• Paid Course

Coursera

Fine-tuning Language Models for Business Tasks

Demystify LLM fine-tuning for business applications, exploring foundational concepts, current industry uses, and future possibilities to create efficient, personalized, and innovative solutions.

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

Large Language Models with Semantic Search

Enhance search capabilities using LLMs, exploring dense retrieval and reranking techniques to improve relevance and effectiveness beyond traditional keyword-based methods.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Quick Start Guide to Large Language Models (LLMs): Unit 1

Explore NLP evolution, master attention mechanisms, and build RAG systems using ChatGPT, Llama, and T5 while developing prompt engineering skills for effective LLM communication.

• Coursera
• 6 hours 18 minutes
• Self-Paced
• Paid Course

Career Certificate

Quick Start Guide to Large Language Models (LLMs)

Master building and deploying GPT, Llama, T5, and BERT at scale with step-by-step guidance, real-world case studies, fine-tuning techniques, and practical applications.

• Coursera
• 4 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Working with large language models using Azure

Master generative AI development with Azure, covering LLMs, prompt engineering, RAG pipelines, fine-tuning, and end-to-end application deployment for real-world solutions.

• Coursera
• 20 hours 33 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O ai Large Language Models (LLMs) - Level 2

Master advanced LLM techniques through data preparation, fine-tuning, and model optimization. Learn QnA dataset creation, quantization, and LoRA while using H2O LLM Studio for practical NLP applications.

• Coursera
• 3 hours 24 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O ai Large Language Models (LLMs) - Level 3

Master advanced H2O ai Generative AI tools and techniques, from creating custom h2oGPT models to evaluating performance metrics, enhancing your AI workflow capabilities for real business applications.

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

Packt

Natural Language Processing - Deep Learning Models in Python

Master deep learning models for NLP with Python, implementing neural networks, CNNs, and RNNs for text classification, embeddings, and sequential data processing using TensorFlow.

• Coursera
• 10 hours 33 minutes
• Self-Paced
• Paid Course

Edureka

Fine-Tuning & Optimizing Large Language Models

Master parameter-efficient fine-tuning, context engineering, and deployment strategies for large language models using modern tools like Hugging Face and LoRA adapters.

• Coursera
• 13 hours 45 minutes
• Self-Paced
• Paid Course

Whizlabs

Azure AI & ML: Optimize Language Models for AI Applications

Master Azure AI & ML model deployment, optimization, and MLOps workflows. Build production-ready solutions using Azure AI Foundry, AutoML, and advanced monitoring techniques.

• Coursera
• 8 hours 19 minutes
• Self-Paced
• Paid Course