Variational Autoencoders Courses and Certifications

Probabilistic Deep Learning with TensorFlow 2

109 ratings at Coursera

Explore probabilistic deep learning with TensorFlow Probability, covering distributions, Bayesian neural networks, normalizing flows, and variational autoencoders. Gain hands-on experience through coding tutorials and a capstone project.

• Coursera
• 2 days 4 hours 34 minutes
• Self-Paced
• Paid Course

Career Certificate

Generative AI Models and Transformer Networks Certification

14 ratings at Coursera

Master Generative AI from autoencoders to transformers. Build VAEs, GANs, and deploy GPT/BERT models with RAG techniques for real-world applications using TensorFlow.

• Coursera
• 4 weeks, 10 hours/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

Generative AI Part 2

Explore advanced generative AI concepts including transformers, VAEs, GANs, diffusion models, and normalizing flows, with emphasis on mathematical foundations and real-world applications.

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

Machine Learning with Small Data Part 2

Master advanced ML techniques for limited datasets: multi-task learning, meta-learning, NeRF, diffusion models, and 3D Gaussian Splatting for real-world data constraints.

• Coursera
• 11 hours 34 minutes
• Self-Paced
• Paid Course

Introduction Course to Autoencoders, VAEs, and GANs

Master autoencoders, VAEs, and GANs through hands-on implementation with TensorFlow, building realistic image generators and understanding adversarial training dynamics.

• Coursera
• 3 hours 55 minutes
• Self-Paced
• Paid Course

Foundations of Generative AI Models

Master generative AI fundamentals, training techniques, and RAG implementation while exploring emerging trends and real-world applications across industries.

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

Alberta Machine Intelligence Institute Career Certificate

Generative AI Fundamentals

Dive into Generative AI fundamentals, from LLMs and Transformers to multimodal generation, building systems from scratch, and deploying responsibly with hands-on Python implementation.

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

Packt

Generative AI, LLMs, and Advanced Applications with Python

Master generative AI and LLMs through hands-on Python applications, exploring VAEs, GANs, Transformers, GPT architecture, OpenAI APIs, RAG systems, and building advanced AI-driven chatbots.

• Coursera
• 9 hours 21 minutes
• Self-Paced
• Paid Course

Packt

Architecting AI Solutions – Scalable GenAI Systems

Master the art of designing, deploying, and optimizing scalable GenAI systems through hands-on exploration of LGPL architecture, cloud-native deployment, resilience strategies, and security best practices.

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

Coursera

GenAI and Model Selection

Master GenAI model selection to optimize workflows, make informed decisions, and drive innovation. Evaluate and integrate advanced AI technologies effectively for your specific organizational needs.

• Coursera
• 2 hours 27 minutes
• Self-Paced
• Paid Course

Packt

Recommender Systems Complete Course Beginner to Advanced

Master recommender systems from basics to advanced techniques. Learn filtering methods, deep learning models, and build real-world applications using TensorFlow. Gain practical skills for product recommendations and more.

• Coursera
• 9 hours 58 minutes
• Self-Paced
• Paid Course

Alberta Machine Intelligence Institute

Generative AI for Audio and Images: Models and Applications

Explore advanced generative AI models like VAEs, GANs, Transformers, and Diffusion for creating audio, image, and video content with ethical considerations.

• Coursera
• 1 day 5 hours 17 minutes
• Self-Paced
• Paid Course

Programming Generative AI: Unit 2

Explore advanced generative AI techniques for images and text using CNNs, autoencoders, diffusion models, and transformers with hands-on PyTorch and Hugging Face implementation.

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

Edureka Career Certificate

Advanced Deep Learning Architectures

Master deep learning architectures by building neural networks, transformers, and generative models from scratch, with hands-on GPU training for production-scale AI systems.

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