RLHF Courses and Certifications

Yacine Mahdid

Exploring GRPO Through the RAFT Algorithm - RLHF and RLVR

Dive into GRPO's mechanics through RAFT algorithm analysis, comparing RLHF and RLVR paradigms from 2023-2025 studies to develop simplified reinforcement learning approaches for LLMs.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Amazon Web Services;  Amazon

AWS SimuLearn: Fine-Tune a Base Model with RLHF

Hands-on experience with AI-powered simulations to design and implement AWS solutions for fine-tuning base models using RLHF. Practice communication skills while working with services like SageMaker, API Gateway, DynamoDB, and S3.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course

LLMs from Scratch - Practical Engineering from Base Model to PPO RLHF

Master building complete large language models from scratch using pure PyTorch, covering transformer architecture, training, scaling, MoE, fine-tuning, and RLHF techniques.

• freeCodeCamp
• 6 hours 6 minutes
• Self-Paced
• Free Video

Serrano.Academy

Reinforcement Learning for Large Language Models - RLHF, PPO, DPO, and GRPO

Discover how to fine-tune LLMs using RLHF, PPO, DPO, and GRPO techniques with practical deep reinforcement learning methods for transformer models.

• YouTube
• 2 hours 28 minutes
• Self-Paced
• Free Video

Credential

LLM Application Engineering and Development Certification

16 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

Alberta Machine Intelligence Institute Credential

Generative AI Essentials

6 ratings at Coursera

Discover how generative AI models work, master prompt engineering, and develop ethical frameworks for responsible AI deployment across text and image generation.

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

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

Credential

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

Board Infinity

Mastering DeepSeek: From Architecture to Application

Master DeepSeek's architecture, deployment, and practical applications through hands-on training. From API integration to RAG pipelines, coding workflows, and model fine-tuning for developers and AI enthusiasts.

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

Quick Start Guide to Large Language Models (LLMs): Unit 3

Master advanced LLM architectures, multimodal integration, reinforcement learning alignment, fine-tuning optimization, and cloud deployment strategies for high-performing models.

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

Discover AI

Coding RLHF on LLama 2 with LoRA, 4-bit Quantization, TRL and DPO

Master advanced LLM fine-tuning techniques using RLHF, implementing DPO and PPO methods on Llama models with 4-bit quantization and LoRA for optimized performance and human feedback integration.

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

Mastering ChatGPT (AI) and PowerPoint presentation

459 ratings at Udemy

Combined Artificial intelligence to create presentation

• Udemy
• 5 hours 1 minute
• Self-Paced
• Paid Course

LLM Fine Tuning Fundamentals + Fine tune OpenAI GPT model

396 ratings at Udemy

Learn the fundamentals of LLM and LLM Fine Tuning. Hands-On sessions to Fine tune OpenAI GPT model with custom data.

• Udemy
• 3 hours 27 minutes
• Self-Paced
• Paid Course

MLOps.community

Building and Curating Datasets for RLHF and LLM Fine-tuning

Learn effective strategies for dataset construction, curation, and annotation to enhance RLHF and LLM models using Argilla's open-source data platform for integrating human and machine feedback.

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

Discover AI

CriticGPT: Understanding RLHF and Force Sampling Beam Search Optimization

Dive into OpenAI's innovative CriticGPT algorithm, exploring how RLHF and Force Sampling Beam Search optimize language models and enhance their reliability.

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