Advanced Generative 3D Models Learning Path

Generative AI in a Nutshell - how to survive and thrive in the age of AI

Learn AI, Machine Learning, Deep Learning and Generative AI Explained

How AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile

Learn Transformers, explained: Understand the model behind GPT, BERT, and T5

Part of the DeepLearning.AI offerings on Coursera, this specialization appears to be targeted towards those interested in the intersection of developer relations and the burgeoning field of generative AI.

This course explores the intersection of generative AI and blockchain technology, examining how they can mutually enhance each other to create innovative solutions across various industries. It covers how blockchain can provide a secure and transparent infrastructure for data integrity, enable trusted federated learning, and improve AI decision-making.

This course, offered by Adobe, focuses on the application of generative AI in design, with a special emphasis on Adobe Firefly. It covers the foundational concepts of generative AI, practical use of Firefly's tools, and the ethical considerations in AI-driven content creation.

A free, self-paced course developed by Google in collaboration with MIT RAISE. It is designed to help teachers integrate AI into their teaching practices, covering the use of generative AI tools to save time, personalize instruction, and enhance lessons creatively.

This course focuses on integrating generative AI into the UI/UX design workflow. It covers using AI for tasks like creating personas and journey maps while ensuring the design remains human-centered, inclusive, and accessible.

This course explores how generative AI is revolutionizing creative industries. You will learn to use AI to create personalized, interactive experiences and immersive learning environments for games, media, and virtual training.

This course covers using AI models for image-to-text (vision), text-to-speech, and speech-to-text tasks using the latest AP Is. It is part of the 'Getting Started with Generative AI API Specialization'.

A seven-course specialization from IBM that covers the fundamentals of generative AI, the structure of large language models, and fine-tuning methods. The program is estimated to take 3-6 months to complete at 4 hours per week and has a 4.5-star rating with about 9,000 active learners.

This specialization is designed for consultants to leverage Generative AI tools effectively. It covers the application of Gen AI across industries to address complex challenges and deliver value to clients through innovative approaches, with a focus on responsible and ethical use.

An innovative program designed to empower leaders with the skills to harness the full potential of large language models like ChatGPT, revolutionizing leadership strategies and productivity in business and personal life.

This specialization teaches how to leverage Generative AI in the mobile app development lifecycle. You will learn to create code, prototypes, and optimized programs, debug and enhance code using GenAI, and tackle ethical challenges. The courses cover using AI tools like Vertex AI, Dialogflow, and Apple Intelligence.

This specialization, offered by IBM, is designed for project managers, scrum masters, and coordinators looking to integrate generative AI into their workflows. It covers prompt engineering, AI-driven project tools, and how to use AI to improve project documentation and performance. The course is self-paced and aims to help professionals drive efficiency and report a positive ROI from AI in project management.

This specialization is aimed at leaders and consultants, exploring generative AI applications across business domains and their integration into operations, while considering data privacy and ethical implications.

Generative AI: From Fundamentals to Advanced Applications This comprehensive course is designed to equip learners with a deep understanding of Generative AI, particularly focusing on Large Language Models (LL Ms) and their applications. You will delve into the core concepts, practical implementation techniques, and ethical considerations surrounding this transformative technology.What You Will Learn:Foundational Knowledge: Grasp the evolution of AI, understand the core principles of Generative AI, and explore its diverse use cases.LLM Architecture and Training: Gain insights into the architecture of LL Ms, their training processes, and the factors influencing their performance.Prompt Engineering: Master the art of crafting effective prompts to maximize LLM capabilities and overcome limitations.Fine-Tuning and Optimization: Learn how to tailor LL Ms to specific tasks through fine-tuning and explore techniques like PEFT and RLHF.RAG and Real-World Applications: Discover how to integrate LL Ms with external knowledge sources using Retrieval Augmented Generation (RAG) and explore practical applications.Ethical Considerations: Understand the ethical implications of Generative AI and responsible AI practices.By the end of this course, you will be equipped to build and deploy robust Generative AI solutions, addressing real-world challenges while adhering to ethical guidelines. Whether you are a data scientist, developer, or business professional, this course will provide you with the necessary skills to thrive in the era of Generative AI.Course Structure:The course is structured into 12 sections, covering a wide range of topics from foundational concepts to advanced techniques. Each section includes multiple lectures, providing a comp