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7 Best Udemy Courses to Learn Generative AI with ChatGPT, LangChain and Huggingface in 2025

javinpaul
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Hello guys, in last a couple of years, Generative AI has taken the tech world by storm. From chatbots, coding, and content creation to synthetic media and drug discovery, generative AI is revolutionizing industries.

And with tools like ChatGPT, DALL·E, and Midjourney becoming household names, learning how to build these systems is no longer reserved for AI PhDs.

Generative AI is redefining the way we create — whether it’s text, images, music, code, or even videos.

From tools like ChatGPT and DALL·E to Stable Diffusion and GitHub Copilot, this field is revolutionizing industries like software development, marketing, healthcare, and content creation.

But how do you break into Generative AI in 2025 if you’re just starting out?

The good news is: you don’t need a PhD or years of machine learning experience to get started.

Thanks to platforms like, you can learn the foundations, tools, and real-world applications of generative AI from the comfort of your home — and at your own pace.

In this post, I’ve handpicked 7 of the best Udemy courses to learn Generative AI from scratch in 2025. These courses are beginner-friendly, practical, and constantly updated to keep pace with AI’s rapid evolution.

By the way, if you are new to AI world then you can just go ahead and start with course on Udemy. This is the latest and most up-to-date course on ChatGPT on Udemy and perfect to learn Gen AI by seeing what it can do.

7 Best Gen AI Courses on Udemy with LangChain, GitHub Copilot and Huggingface in 2025

Without any further ado, here are the top Udemy courses you can join in 2025 to learn Gen AI with other popular AI tools and libraries like LangChain, GitHub Copilot, and Huggingface in 2025

1.

This course is a perfect starting point for non-tech users. It introduces core concepts like LLMs (Large Language Models), diffusion models, and prompt engineering through practical, creative projects.

What you’ll learn:

  • How ChatGPT, DALL·E, and Copilot work
  • Creating art and images using text prompts
  • Writing Python code with AI assistance
  • Generating blog posts, ads, and emails using AI tools
  • Industry use cases and ideas that can be implemented
  • Key Concepts — LLM, Embeddings, Prompt Engineering, Fine Tuning
  • Hands-on experience, creating a chatbot
  • Future trends and how to stay relevant in post-GenAI world

Best for: Beginners who want to explore AI creativity without needing a coding background.

Here is the link to join this Gen AI course

2.

This project-based course helps you build real apps using the OpenAI API. It’s a great step forward after understanding the basics, focusing on implementation through mini projects.

What you’ll learn:

  • Understand how Generative AI works
  • Understand the basics of Generative AI
  • Understand how Generative AI works
  • Building a chatbot, content generator, and code assistant
  • Prompt engineering for better outputs
  • Deployment tips using Flask and Node.js

Best for: Developers and tech-savvy learners who want hands-on coding experience with AI.

Here is the link to join this course

3.

Prompt engineering is the secret weapon behind getting better results from any AI model. This course teaches prompt patterns, frameworks, and use cases in depth.

What you’ll learn:

  • Structure and format of effective prompts
  • AI Video Tools: Create an AI avatar that transforms scripts into presentations and quickly generate social media content!
  • Role prompting, few-shot prompting, and chain-of-thought
  • AI Voice Tools: Easily create AI-generated speech for any use case and even clone your own voice entirely!
  • Productivity: Achieve goals faster with artificial intelligence, manage time, prioritize tasks, and create an optimized daily schedule!
  • Prompts for writing, summarizing, reasoning, and generating images
  • Tips for ChatGPT, Claude, and Bard

Best for: Anyone using ChatGPT, writers, marketers, and developers.

Here is the link to join this course —

4.

Google’s Gen AI Studio is a rising platform in enterprise AI. This course gives a practical walkthrough of creating applications using Google’s PaLM 2 model and the MakerSuite interface.

What you’ll learn:

  • GenAI Studio overview and use cases
  • Working with PaLM 2 and MakerSuite
  • Building custom chatbots and text apps
  • Using Google tools to test and deploy

Best for: Professionals looking to explore Google’s ecosystem for generative AI.

Here is the link to join this course —

5.

LangChain and vector databases like Pinecone are essential for building context-aware AI apps. This course focuses on building RAG (Retrieval Augmented Generation) pipelines and real-world LLM apps.

What you’ll learn:

  • LangChain concepts and implementation
  • Setting up Pinecone for vector storage
  • Understand the architecture and design patterns for building robust generative AI systems.
  • Develop Retrieval-Augmented Generation (RAG) pipelines to enhance the performance and accuracy of generative models by integrating retrieval mechanisms.
  • Connecting OpenAI GPT models with external knowledge
  • Creating a ChatGPT clone using RAG

Best for: Developers interested in advanced LLM-powered applications.

Here is the link to join this course —

6.

This course dives into the image generation side of Generative AI using Stable Diffusion. It’s especially useful for designers, artists, and marketers exploring AI-generated visuals.

What you’ll learn:

  • How diffusion models generate images
  • Prompting techniques for image creation
  • Running Stable Diffusion locally and on the cloud
  • Use cases in design, product marketing, and game art

Best for: Artists, designers, visual content creators.

Here is the link to join this course —

7.

This is a practical course where you learn by building productivity-focused AI tools using ChatGPT and Python. You’ll cover automation, scripts, and desktop utilities.

You will also master AI, Automate Workflows, Build 12 Real-World Projects, & Unlock AI Agents, ChatGPT & CoPilot!

What you’ll learn:

  • Build AI agents in CoPilot to handle complex workflows, decision-making, and business operations
  • Build forecasting models using ARIMA, SARIMA, Random Forest, and Prophet, and evaluate their performance with key error metrics
  • ChatGPT-based research summarizer
  • Simulate best-case, worst-case, and moderate-case scenarios for financial planning, sales forecasting
  • Email and blog automation apps
  • Using Python to integrate ChatGPT in workflows
  • Use ChatGPT Canvas to draft documents, generate reports, and write code interactively, enabling seamless collaboration between AI and humans

Best for: Python developers and productivity hackers.

Here is the link to join this course

Conclusion

That’s all about the 7 best Udemy courses to learn Generative AI in 2025. Generative AI is not just a trend — it’s a foundational shift in how we build, write, design, and think.

Whether you’re an aspiring AI developer, a content creator, or a professional aiming to automate tasks and create more with less, there’s never been a better time to learn.

These 7 Udemy courses offer a perfect path — starting from zero and gradually moving into powerful tools, coding projects, and production-grade applications.

Take your first step today. In 6 months, you’ll look back and be amazed at what you’ve built.

By the way, if you want to join multiple course on Udemy, its may be worth getting a , which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month. If you got a lot of time and want to save money, Udemy Personal Plan will be perfect for you.

Other AI, LLM, and Machine Learning resources you may like

Thanks a lot for reading this article so far, if you like these books then please share with your friends and colleagues. If you have any feedback or questions then please drop a note.

P.S. You can also join a course like to get some hands-on experience on building RAG based chatbot and learning LLM by watching. Don’t wait for your company to start using AI. Learn now, lead later.

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javinpaul
javinpaul

Written by javinpaul

I am Java programmer, blogger, working on Java, J2EE, UNIX, FIX Protocol. I share Java tips on and