momenai / generative-ai-llms-lmms

Generative AI for Everyone Resources

A collection list of resources for learning and understanding Generative AI, Large Language Models (LLMs), and related technologies.

Table of Contents

• Courses
• Books
• Blogs
• Projects

Courses

Generative AI for Everyone

• Instructor: Andrew Ng
• Platform: Coursera
• Link: Generative AI for Everyone
• About: This course, instructed by AI pioneer Andrew Ng, aims to democratize the understanding of Generative AI. It covers the fundamentals of how generative AI works and explores its practical applications. The course includes hands-on exercises on prompt engineering and advanced uses of AI.
• Length: 3 weeks
• Rating: 4/5

Introduction to Generative AI Learning Path By Google (7 courses)

This learning path consists of seven courses designed to introduce learners to the key concepts of Generative AI. Each course is tailored to provide foundational knowledge and understanding in specific areas of Generative AI and Large Language Models.

Short Courses:

1. Introduction to Generative AI (1 day)

   • An entry-level course providing an overview of Generative AI technologies and their applications.

2. Introduction to Large Language Models (1 day)

   • This course covers the basics of Large Language Models, their development, and their growing role in AI.

3. Attention Mechanism (1 day)

   • Learn about the attention mechanism that has revolutionized the way machines understand human language.

4. Transformer Models and BERT Model (1 day)

   • Dive into transformer models including BERT and their impact on the field of natural language processing.

5. Introduction to Image Generation (1 day)

   • Explore how Generative AI is used to create images and the technology behind generative models.

6. Create Image Captioning Models (1 day)

   • This course offers practical experience in building models that generate descriptions for images.

7. Encoder-Decoder Architecture (1 day)

   • Understand the encoder-decoder architecture, a framework for many language processing and image generation tasks.

Generative AI with Large Language Models

• Platform: Coursera
• Link: Generative AI with Large Language Models
• About: This course offers an in-depth look into Generative AI with a focus on Large Language Models (LLMs). It is designed for an intermediate level and integrates the use of AWS SageMaker for practical, hands-on learning. The curriculum provides approximately 16 hours of content, which can be completed over 3 weeks at a pace of 5 hours per week.
• Length: Approx. 16 hours to complete, 3 weeks at 5 hours a week
• Level: Intermediate
• Rating: 4.5/5

Generative AI Fundamentals by Databricks

• Link: Generative AI Fundamentals
• About: This accreditation course provides an introduction to the basics of generative AI, including Large Language Models (LLMs). It delivers the content through 4 concise videos, covering the value generative AI brings to various industries, practical applications, keys to success, and an overview of potential risks and challenges.
• Videos:
  • Introduction to Generative AI Fundamentals (2 min)
  • LLM Applications (22 min)
  • Finding Success with Generative AI (24 min)
  • Assessing Potential Risks and Challenges (20 min)
• Rating: 3.5/5

Specialization: Generative AI for Everyone by IBM

• Platform: Coursera

• Link: Generative AI for Everyone Specialization

• About: This Specialization by IBM on Coursera provides an in-depth journey into the world of Generative AI. It is crafted to impart a comprehensive understanding of fundamental concepts, models, tools, and practical applications of generative AI, enabling individuals to harness the power of this revolutionary technology in the workplace and in life. The series includes five short, self-paced courses, each designed to be completed within 3–5 hours.

• Courses in the Specialization:

  1. Generative AI: Introduction and Applications - Course 1- 5 hours

  2. Generative AI: Prompt Engineering Basics - Course 2 - 5 hours

  3. Generative AI: Foundation Models and Platforms - Course 3 - 6 hours

  4. Generative AI: Ethical Considerations and Implications - Course 4

  5. Generative AI: Future and Professional Growth - Course 5

Books

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Blogs

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Projects

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