Generative Models Courses and Certifications

Whizlabs

Prompt Engineering Generative AI & LLM Models Fundamentals

Master prompt engineering and LLM fundamentals through hands-on training, optimization techniques, and advanced architectures like RAG for real-world AI applications.

• Coursera
• 6 hours 28 minutes
• Self-Paced
• Paid Course

LANTITE Numeracy

Prepare for success with LANTITE Numeracy. This self-paced course will develop your understanding of mathematical content, enable you to apply numeracy skills, and support you with activities to enhance your problem-solving and mathematical reasoning.

• OpenLearning
• 50 hours
• 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

Coursera

Fine-Tune & Optimize Generative AI Models

Master parameter-efficient fine-tuning techniques like LoRA to optimize large language models for specific domains while reducing costs and maintaining quality in production.

• Coursera
• 5 hours 5 minutes
• Self-Paced
• Paid Course

Board Infinity

Generative AI: Fine-Tuning LLMs and Diffusion Models

Master fine-tuning LLMs with LoRA, QLoRA, and Diffusion Models using Hugging Face tools, building controllable image pipelines and a specialist LLM adapter from dataset creation to evaluation.

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

Edureka

Generative AI Models and GPU Systems

Master generative AI by exploring VAEs, GANs, and diffusion models, then scale and deploy them using GPU optimization, mixed precision, and distributed training strategies.

• Coursera
• 13 hours 16 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

AWS Generative AI and Foundation Models

Master building generative AI solutions on AWS using Amazon Bedrock, RAG pipelines, Amazon Q Developer, and open-source LLMs, while evaluating trade-offs between managed services and no-code platforms.

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

Serrano.Academy

Generative Models

Explore denoising autoencoders, VAEs, GANs, and RBMs in this comprehensive introduction to generative models, covering key concepts and applications in machine learning.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Think Like A Sharp

Master proven sports betting strategies and bankroll management techniques from million-dollar pros to identify edges, minimize risks, and make data-driven wagering decisions.

• MasterClass
• Self-Paced
• Free Trial Available

Machine Learning Techniques & Applications

Explore practical machine learning, deep learning, generative AI, and NLP applications for solving real-world problems.

• OpenLearning
• 40 hours
• Self-Paced
• Paid Course

Career Certificate

Reinforcement Learning

3590 ratings at Coursera

Explore adaptive learning systems and AI through Reinforcement Learning. Gain practical skills to implement RL solutions for real-world problems, from game development to industrial control.

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

Career Certificate

Computer Communications

3402 ratings at Coursera

Explore network architecture, protocol design, and cybersecurity fundamentals. Develop skills for constant technological evolution, covering P2P protocols, LANs, packet switching, and TCP/IP.

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

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

Career Certificate

Introduction to Discrete Mathematics for Computer Science

3701 ratings at Coursera

Explore discrete mathematics through interactive puzzles, gaining essential skills for data science, machine learning, and software engineering. Develop mathematical thinking and problem-solving abilities applicable to various IT fields.

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

Statistics

7 ratings

We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions.

• Udacity
• 32 hours
• Self-Paced
• Free Online Course