Develop LLM applications with LangChain -Fast.
Learn LangChain by building a real world generative ai LLM powered application LLM (Python)
In this course I will teach you how to build LLM applications with the LangChain library, fast.
This course will equip you with the skills and knowledge necessary to develop cutting-edge LLM solutions for a diverse range of topics.
30+
Lectures
4.5+
Hours
1k +
Students
4.8
Rating
MY MISSION IS TO COMMODITIZE AI FOR SOFTWARE ENGINEERS
The field of AI is no longer limited to just PhDs and data scientists. With barriers to entry removed, software engineers like us now have the opportunity to harness the power of AI technology. My LangChain course is designed specifically for software engineers (like me), providing the knowledge and skills to ramp up fast building generative AI applications with LangChain
Software Engineer with zero AI knowledge? This course is exactly for you
- This is not a beginner course. Basic Software Engineering concepts are needed. I assume students will be familiar with software engineering subjects such as: Git, Python, Pipenv, Classes, debugging.
- Software Engineers that want to learn how to build Generative AI based applications with LangChain
- Backend Developers that want to learn how to build Generative AI based applications with LangChain
- Fullstack engineers that want to learn how to build Generative AI based applications with LangChain
DON'T JUST LEARN THEORY, LEARN BY DOING AND BUILD REAL WORLD GEN AI APPLICATIONS
- 3rd Party Integrations
- Full Stack
- Challenging
- Fun
The only LangChain Course you will need to take, this
In this course, you’ll embark on a journey from scratch to building 2 real-world LLM powered applications using LangChain. (SEE Course’s lesson plan and previews to see what we are building an how)
The topics covered in this course include:
- LLMs: Few shots prompting, Chain of Thought, ReAct prompting
- Prompts, PromptTemplate
- Chains: SequentialChain, LLMChain, RetrievalQA chain
- Agents, Custom Agents, Tools, Toolkits
- Vectorstores (Pinecone)List Item
- DocumentLoaders, TextSplitters
- Output Parsers
- Memory
- Streamlit (for UI)
Throughout the course, you will work on hands-on exercises and real-world projects to reinforce your understanding of the concepts and techniques covered. By the end of the course, you will be proficient in using LangChain to create powerful, efficient, and versatile LLM applications for a wide array of usages.
WHAT MY STUDENSTS SAY
Hey Eden, as a product person working on Knowledge Graphs, I really like your Udemy course on LangChain - it's definitely pro level, congrats.
CONTINUOUS UPDATES
I’m strive to providing you with the most comprehensive learning experience possible. That’s why I’m constantly updating the course with important new features, use cases, and cutting-edge information. This way, you can be sure that you’re getting the latest and greatest insights into language technology.
MY GOALS OF THIS COURSE IS THAT YOU WILL:
- Become proficient in LangChain
- Understand Prompt Engineering Theory: Chain of Thoughts, ReAct Prompting, Few shot prompting and understand how LangChain is built under the hood.
- Know Large Language Models theory for software Engineers.
- Have 2 E2E working LangChain based generative AI applications
- Understand how to navigate inside the LangChain open-source codebase
Frequently Asked Questions (FAQ)
Reach me out on Twitter if you have any other questions.
What level of programming knowledge is required for this course?
If you want to succeed in this course, it is important to have more than just a basic understanding of Python. While prior experience with AI is not required, a solid foundation in Python programming will be necessary to fully comprehend the concepts and materials covered in this course. If you are new to programming, I recommend starting with an introductory Python course before enrolling in this course.
For whom is this course not intended?
If you have no prior experience in programming, I recommend learning Python before enrolling in this course. Please note that this course is NOT designed to be a “get rich quick” scheme or to enable the development of million-dollar projects. Rather, the aim of this course is to equip you with the necessary skills to create your own AI projects.
For is this course not?
This course is not a comprehensive AI fundamentals course, but rather focuses on teaching you enough to develop and launch your own AI projects. It provides you with the necessary knowledge to understand what you’re doing.
Discord Community
You’ll be getting access to the Course Discord server, where the real magic happens. This is the place where students connect, network, and talk about all things AI-related. But it’s not just about learning – we’re about having fun too 🙂
Need help with a tricky problem? No worries, me and other students are here to lend a hand.
About Me
I am a passionate Software Engineer with years of experience in back-end development, one of the first engineers at Software Engineer at Orca Security, and now I am working as a customer engineer in the public cloud space.
BSC in Computer Science from the Technion – Israel Institute of Technology
I have always been a fan of teaching and mentorship and I am teaching CS courses(Functional Programming and Introduction to CS) at Reichman University, Israel.
Eden Marco
Course Creator
START YOUR AI
JOURNEY WITH LangChain.
Sign up now and access all 30+ LangChain videos and over 4.5 hours fo content. I offer a 30-day money-back guarantee, no questions asked.