Generative Models Courses and Certifications

Center for Language & Speech Processing(CLSP), JHU

Automatic Speech Processing by Inference in Generative Models

Explore advanced generative modeling techniques for automatic speech processing and inference methods in computational linguistics.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Deep Learning of Generative Models

Explore deep learning techniques for building generative models with insights from pioneering AI researcher Yoshua Bengio in this comprehensive lecture.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Generative Memory Lab

Entropic Time Schedulers for Generative Diffusion Models

Discover how entropic time schedulers optimize generative diffusion models for improved sampling efficiency and quality in this advanced machine learning presentation.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Discriminative Learning of Generative Models

Discover how to combine discriminative and generative modeling approaches for improved machine learning performance in this technical lecture by Tony Jebara.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Become a Probability & Statistics Master

14465 ratings at Udemy

Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions

• Udemy
• 15 hours 12 minutes
• Self-Paced
• Paid Course

Career Certificate

Self-Driving Cars

3555 ratings at Coursera

Master autonomous vehicle technology through hands-on projects using CARLA simulator. Gain comprehensive understanding of state-of-the-art engineering practices and build your own self-driving software stack.

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

Career Certificate

Advanced Statistics for Data Science

799 ratings at Coursera

Comprehensive exploration of probability, statistics, and linear models for aspiring biostatisticians and data scientists. Covers mathematical foundations, hypothesis testing, regression, and R programming.

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

Calculus: Single Variable Part 4 - Applications

284 ratings at Coursera

Explore applications of calculus in geometry, physics, and probability. Learn to compute areas, volumes, and averages using integrals and differential elements.

• Coursera
• 21 hours
• 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

Coursera Career Certificate

Open Generative AI: Build with Open Models and Tools

Master open-source generative AI through hands-on projects covering fine-tuning, RAG systems, model deployment, and production-ready applications using cutting-edge tools.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 13 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

Core generative models and techniques

Explore GANs, autoregressive models, and diffusion models while mastering hands-on implementation with Azure AI Foundry for sequential data generation and high-fidelity image creation.

• Coursera
• 20 hours 35 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

Building and Deploying Generative AI Models

Master building, deploying, and scaling Transformer models, RAG systems, and autonomous AI agents from scratch using PyTorch, LangChain, and Google Cloud Platform.

• Coursera
• 13 hours 43 minutes
• Self-Paced
• Paid Course