Generative Models Courses and Certifications

Foundations of Generative AI Models

Learn how generative models are trained and evaluated, apply Retrieval Augmented Generation for more accurate outputs, and track GenAI trends across healthcare, finance, and education.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

Alberta Machine Intelligence Institute

Building and Deploying Generative AI Models

Build Transformer architectures from scratch in PyTorch, engineer RAG pipelines with LangChain, and deploy a summarizer AI agent to Vertex AI with monitoring.

• Coursera
• 3 weeks, 5 hours a week
• Self-Paced
• Paid Course

Whizlabs

Prompt Engineering Generative AI & LLM Models Fundamentals

Learn how LLMs are trained, aligned, and evaluated, then design effective prompts and apply fine-tuning, prompt tuning, PEFT, and Retrieval-Augmented Generation.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Alberta Machine Intelligence Institute

Generative AI for Audio and Images: Models and Applications

Explore how VAEs, VQ-VAEs, GANs, transformers, and diffusion models generate audio, images, and video, training GAN models and weighing deepfakes, bias, and intellectual property.

• Coursera
• 4 weeks, 7 hours a week
• Self-Paced
• Paid Course

Programming Generative AI: Image and Language Models

Build generative models for images and text: image representation, CNNs, variational autoencoders, diffusion models with Hugging Face diffusers, NLP pipelines, and transformers in PyTorch.

• Coursera
• 8 hours 26 minutes
• Self-Paced
• Paid Course

Learning Deep Learning: Generative AI and Large Language Models

Build deep learning models with BERT, GPT, R-CNN, U-Net and Mask R-CNN in TensorFlow and PyTorch, covering multimodal networks, multitask learning, object detection, segmentation and AI ethics.

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

Coursera

Fine-Tune & Optimize Generative AI Models

Tune decoding strategies (temperature, top-k, beam search), evaluate outputs with BLEU, ROUGE and BERTScore, and apply LoRA parameter-efficient fine-tuning using Hugging Face Transformers and PEFT.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Board Infinity

Generative AI: Fine-Tuning LLMs and Diffusion Models

Fine-tune 7B+ LLMs with LoRA, QLoRA and SFT pipelines, dissect decoder-only transformers and KV caching, and generate controllable images with diffusers and ControlNet.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

KodeKloud Career Certificate

Generative AI Engineering with OpenAI API and AWS Models

Build production AI systems: call the OpenAI API with prompt engineering, generate and caption images with DALL-E and CLIP, and deploy RAG pipelines and agents on Amazon Bedrock.

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

Edureka

Generative AI Models and GPU Systems

Explore autoencoders, VAEs, GAN dynamics, DDPM and latent diffusion, then scale training with mixed precision, distributed data parallel, and production GPU deployment.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Pragmatic AI Labs

AWS Generative AI and Foundation Models

Build generative AI solutions on AWS with Amazon Bedrock, RAG pipelines, and Amazon Q Developer, then compile llama.cpp and deploy GGUF-packaged open-source LLMs on EC2 GPUs.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Core Neural Architectures & Generative Models

Implement and evaluate CNNs, sequence models, Transformers, VAEs, GANs, and diffusion pipelines across vision, temporal, NLP, and generative workflows.

• Coursera
• 10 weeks, 1 hour a week
• Self-Paced
• Paid Course

Stanford CS236 - Deep Generative Models I 2023

Master probabilistic foundations and algorithms for deep generative models including VAEs, GANs, normalizing flows, and diffusion models with applications across AI domains.

• YouTube
• 23 hours 38 minutes
• Self-Paced
• Free Video

Generative AI and Large Language Models

A broad introduction to generative AI and LLMs, covering transformers, fine-tuning, RAG, generative image models, deployment, and responsible AI.

• Swayam
• 8 weeks
• Available until Oct 31, 2026
• Free Online Course

Build generative chatbots in Python using deep-learning seq2seq models.

• Codecademy
• 1 hour
• Self-Paced
• Free Trial Available