Ayush kumarIn today’s rapidly growing tech world, many are eager to jump on the Generative AI bandwagon. It’s no surprise that countless courses and bootcamps are popping up, each promising to turn you into an AI expert—for a price. Unfortunately, many people end up spending a small fortune on these courses, only to find that the content is either outdated or not as comprehensive as they had hoped.
But what if I told you that you don’t need to empty your wallet to learn Generative AI? The truth is, there are plenty of high-quality, free resources available that can teach you everything you need to know. From courses offered by leading universities to hands-on projects in top GitHub repositories, you can gain the skills and knowledge to excel in Generative AI without spending a dime.
In this blog, I’ve curated the best free courses and GitHub repositories that will guide you step-by-step through your Generative AI journey, allowing you to learn and grow at your own pace—all for free. Let’s dive in!
Courses
🚀Description: This beginner-friendly GitHub repository by Microsoft offers a structured curriculum to get started with Generative AI. It includes tutorials, exercises, and project ideas to help newcomers understand and build generative models.
🚀Description: Offered by Databricks, this course provides a foundational understanding of Generative AI, covering the essential concepts, techniques, and applications. It's designed for those who want to build a solid groundwork in AI and its generative capabilities.
✅ Introduction to Generative AI Learning Path
🚀Description: A comprehensive learning path provided by Google Cloud that takes learners through the basics of Generative AI, including hands-on labs and practical exercises using Google Cloud’s AI tools.
✅ Generative AI with Large Language Models
🚀Description: This Coursera course focuses on building and deploying large language models (LLMs), the backbone of many generative AI systems. It covers everything from data preprocessing to fine-tuning and deploying LLMs in real-world applications.
🚀Description: Aimed at a broader audience, this Coursera course demystifies Generative AI, explaining its potential and limitations in various industries. It’s perfect for non-technical professionals looking to understand the implications of AI.
🚀Description: This YouTube playlist provides an in-depth look into the foundational aspects of Generative AI. Each video is part of a series that explores different elements of AI, making it ideal for visual learners.
✅ Foundation of Prompt Engineering
🚀Description: AWS offers this course to help developers understand the crucial role of prompt engineering in building effective AI models. It includes practical examples and techniques for optimizing prompts for better AI outputs.
✅ Generative AI Learning Plan for Developers
🚀Description: This AWS learning plan is designed for developers who want to dive into Generative AI. It provides a structured curriculum with a mix of theory and practical labs on building AI models using AWS services.
✅ Building Language Models on AWS
🚀Description: Focused on AWS infrastructure, this course teaches participants how to build and deploy large language models using AWS tools and services. It's ideal for those looking to leverage AWS for AI projects.
✅ Generative AI Learning Plan for Decision Makers
🚀Description: Tailored for business leaders and decision-makers, this AWS learning plan covers the strategic implications of Generative AI, helping executives make informed decisions about adopting AI technologies.
✅ Generative AI for Executives
🚀Description: This course provides a high-level overview of Generative AI tailored for executives. It discusses the business impact, potential applications, and the strategic value of integrating AI into corporate strategies.
🚀Description: NVIDIA’s course explains the basics of Generative AI, focusing on the underlying technology and its applications. It's a good starting point for those new to AI, offering insights into NVIDIA’s approach to AI innovation.
✅ Building a Brain in 10 Minutes
🚀Description: A quick, hands-on tutorial by NVIDIA that walks you through the process of building a basic neural network model in just 10 minutes. It’s perfect for those who want to quickly grasp AI model creation.
✅ Augment Your LLMs Using Retrieval Augmented Generation
🚀Description: This NVIDIA course focuses on advanced techniques in using Retrieval Augmented Generation (RAG) to enhance the capabilities of Large Language Models. It’s ideal for developers looking to push the boundaries of what LLMs can do.
✅ Building RAG Agents with LLMs
🚀Description: Another advanced course from NVIDIA that explores how to build agents using LLMs and RAG. It’s geared towards AI professionals looking to develop intelligent, autonomous systems.
✅Generative Adversarial Networks (GANs) Specialization (Coursera – DeepLearning.AI)
🚀Description: This specialization offered by DeepLearning.AI on Coursera covers Generative Adversarial Networks (GANs), a key technology in Generative AI. It’s a deep dive into GANs, covering theory, implementation, and real-world applications.
Repositories
🚀Description: A curated list of resources, tools, and libraries for Generative AI, compiled by Steven2358. It’s an excellent starting point for anyone looking to explore the vast landscape of Generative AI.
🚀Description: Description: This repository, curated by Filipe Calegario, offers a comprehensive collection of resources on Generative AI, including tutorials, research papers, and code repositories.
🚀Description: A repository compiled by MamczurMiroslaw that gathers the best AI-related resources available on GitHub. It’s ideal for those looking to broaden their AI knowledge base.
🚀Description: Hosted by Panaverse, this GitHub repository is a one-stop shop for learning resources on Generative AI. It includes links to courses, articles, and practical projects.
✅Generative AI for Beginners by Microsoft
🚀Description: A comprehensive learning resource provided by Microsoft, aimed at beginners looking to delve into Generative AI. It includes detailed tutorials, exercises, and project ideas.
✅Generative AI on Google Cloud
🚀Description: This repository offers resources, tutorials, and examples for building Generative AI models using Google Cloud’s infrastructure. It’s a must-visit for developers working in the Google Cloud ecosystem.
✅Awesome Generative AI Guide by Aishwarya Naresh Reganti
🚀Description: Curated by Aishwarya Naresh Reganti, this guide provides a well-organized collection of resources, including articles, code, and tools, focused on Generative AI.
🚀Description: AI-Collection is a GitHub repository that brings together a wide array of AI resources, covering everything from beginner tutorials to advanced research papers.
Conclusion
The field of Generative AI is vast and rapidly evolving. To stay ahead, it’s crucial to continually update your knowledge and skills. The courses and GitHub repositories mentioned in this blog are among the best free resources available, offering both theoretical knowledge and practical tools. Whether you’re a beginner or an experienced developer, these resources will help you build a strong foundation in Generative AI, enabling you to create, innovate, and contribute to this exciting field.
Start exploring these resources today and embark on your journey to mastering Generative AI!
Thank you so much for reading 💖
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