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Generative AI Handbook

Explore the free generative AI course and familiarize yourself with the concepts of LLMs, fine-tuning, RAG, vector DBs, diffusion models, chatbots, agents, and prompting techniques.

AI-POWERED

Explanations

Prompt

Adaptive Learning

AI-POWERED

Explanations

Prompt

This course includes

12 Lessons

5 Playgrounds

Course Overview

What You'll Learn

Course Content

Course Overview

Since the rise of generative AI, the landscape of content creation and intelligent systems has profoundly transformed with large language models (LLMs). This free generative AI course will guide you through the fascinating evolution of generative AI, exploring how these models power everything from text generation to advanced multimodal capabilities. You’ll begin with the basics of content creation. You’ll explore what generative AI is and how does generative AI works. You’ll learn how LLMs and diffusion m...Show More

Since the rise of generative AI, the landscape of content creation and intelligent systems has profoundly transformed with large...Show More

TAKEAWAY SKILLS

Generative AI

Large Language Models (LLMs)

Prompt Engineering

What You'll Learn

An understanding of core concepts of generative AI, including LLMs, fine-tuning LLMs, and RAG

Familiarity with LangChain for building advanced, AI-powered applications that integrate various generative models

An understanding of using prompt engineering techniques to craft effective and efficient prompts that generate desired AI responses

Familiarity with vector databases for managing and organizing AI-generated content, enabling seamless application integration

An understanding diffusion models, AI agents, and smart chatbots, including their applications in image generation, automation, and enhancing human-AI interactions

An understanding of core concepts of generative AI, including LLMs, fine-tuning LLMs, and RAG

Course Content

Guide Overview

1 Lessons

This chapter explores generative AI’s transformative potential in creative fields and practical applications.

Exploring the Fundamentals of Generative AI

Unlock the Power of Generative AI

10 Lessons

This chapter explores generative AI’s fundamentals, applications, and challenges in content creation and intelligent systems.

AI Content Creation Basics

Demystifying Large Language Models (LLMs)

Optimizing and Training LLMs

Effective Prompt Design for AI Interaction

Building Generative AI Applications with LangChain

Utilizing Vector Databases in AI Solutions

Enhancing LLMs with RAG

Creating AI-Generated Images with Diffusion Models

Intelligent AI Agents and Advanced Chatbots

Challenges and Limitations of Generative AI

Wrapping Up

1 Lessons

This chapter concludes your journey by diving deeper into the ever-evolving world of generative AI and unlocking its full potential.

Final Thoughts

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Frequently Asked Questions

How do I prepare for generative AI?

To prepare for generative AI, focus on building a solid foundation in AI, machine learning, and programming, especially with Python, to understand the core concepts and technologies.

How to learn generative AI for free?

You can learn generative AI for free through various online resources, such as tutorials and courses on platforms like Educative and YouTube. These resources offer a broad range of topics, from theory to practical implementation.

Can I directly learn generative AI?

You can directly learn generative AI by studying its core concepts, such as large language models and neural networks.

Does generative AI use NLP?

Yes, generative AI leverages natural language processing (NLP) techniques to effectively perform tasks such as text generation, translation, and sentiment analysis.