HomeCoursesGenerative AI Handbook

Updated 5 months ago

AI-powered learning

Save

Free

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.

4.6

13 lessons

1h 12min

Created by Educative

What's included

13 lessons across 4 modules
4 quizzes with instant feedback
AI Tutor on every lesson

Join 3.1 million developers at

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

Learning Roadmap

13 Lessons4 Quizzes

Guide Overview

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

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

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

Final Thoughts

Foundations of Generative AI

What Is Generative AI?

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

Trusted by 3.1 million developers working at companies

These are high-quality courses. Trust me the price is worth it for the content quality. Educative came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks

Anthony Walker

@_webarchitect_

Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!

Evan Dunbar

ML Engineer

You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it.

Software Developer

Carlos Matias La Borde

I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site

Souvik Kundu

Front-end Developer

Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content.

Vinay Krishnaiah

Software Developer

Course

Grokking the Generative AI System Design

Explore the design of scalable generative AI systems guided by a structured framework and real-world systems in text, image, audio, and video generation.

4 h

intermediate

Course

Mastering AI Product Management

Lead the GenAI revolution with in-depth knowledge of AI product management. Future-proof your skills in AI infrastructure, model development, commercialization, and vertical customization strategies.

15 h

intermediate

Course

Introduction to Generative AI and Amazon Bedrock

Build practical generative AI skills by learning the core concepts, common use cases, and trade-offs of generative AI through practical examples using Amazon Bedrock.

6 h

beginner

Course

Generative AI Essentials

Explore AI fundamentals, history, models, and ethics in our generative AI course and gain the skills to innovate and lead in an AI-driven future.

10 h

beginner

Course

Generative AI: From Theory to Product Launch

Lead the GenAI revolution, future-proof your skills by exploring generative models, transformer networks, and state-of-the-art applications in text, image, and video generation.

2 h

beginner

Course

Grokking the Generative AI System Design

intermediate

4 hour

Course

Mastering AI Product Management

intermediate

15 hour

Course

Introduction to Generative AI and Amazon Bedrock

beginner

6 hour

Course

Generative AI Essentials

beginner

10 hour

Course

Generative AI: From Theory to Product Launch

beginner

2 hour

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.