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1h 12min

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Generative AI Handbook
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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.

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Overview

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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 models are used to generate everything from text to images. You’ll get familiar with LangChain and vector databases in managing AI-generated content. You’ll also cover RAG and the evolving role of AI agents and smart chatbots. From fine-tuning LLMs for specialized tasks to creating multimodal AI experiences with AI-powered images and speech recognition, you’ll unlock the full potential of generative AI with this free course and navigate the future challenges of this dynamic field.

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

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

TAKEAWAY SKILLS

Generative AI

Large Language Models (LLMs)

Prompt Engineering

Content

12 Lessons4 Quizzes

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

Intelligent Text Assistant for Prediction and Completion

Project

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

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative resource is designed by our in-house team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who’ve shipped production code at scale and taught the theory behind it. The goal is to get you hands-on with the skills you need to stay ahead in today's constantly evolving tech landscape. No videos, no fluff — just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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AI Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

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Free Resources

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.

Generative AI Handbook Save

Generative AI Handbook
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