Discover the power of LangChain in our groundbreaking course! This intensive training program is designed to enable Python developers with software engineering experience to quickly master LangChain’s capabilities in building applications using Large Language Models (LLM).
The course is intended for people who have at least the basics of python.
Knowledge of basic API operations required.
Prepare to explore a wide range of topics – from the basic mechanics of LangChain to advanced techniques used in practical LLM applications. This course will enable you to develop the skills needed to create innovative and effective LLM solutions.
Critical thinking and analytical skills
Willingness to learn and continuous development
Download the detailed course scope and check what you will learn.
As part of the advanced LangChain course, participants will delve into the world of creating advanced AI applications, developing skills in using LangChain to build interactive and intelligent systems. This intensive course will not only enable you to explore advanced aspects of LangChain, but will also allow you to practically apply this technology in real projects.
1. LLM theory and building AI applications
In the “LLM Theory and Building AI Applications” stage, you will learn about Large Language Models (LLM) and other types of AI models, including GPT and open-source models. You will gain knowledge of the basics of Prompt Engineering, including techniques such as Few Shots Prompting, Chain of Thought and React Prompting. Additionally, you will go through the LangChain installation process and create your first “Hello World” in this environment. This stage of the course will provide you with a solid foundation for creating and using advanced AI applications.
2. LangChain basics
In the “LangChain Basics” stage, you will learn to create AI applications, starting with creating a document-based chat. You will learn RAG (Retrieval-Augmented Generation), which will help you understand how AI uses information from various sources. Then you will deepen your knowledge of embeddings, DocumentLoader and Chroma, which is crucial for creating vector databases. You will also learn how to use RetrievalQA Chain to effectively transfer knowledge to AI. Finally, you will implement a simple chat interface in Python using Gradio, which will allow you to practically apply what you have learned.
3. AI Agents in LangChain
In the “AI Agents in LangChain” stage, you will learn to build AI applications, such as an AI diet application, using React to prompt and perform tasks. You will also integrate with external websites and learn to create user interfaces in Python using Streamlit, which will allow you to create more interactive and functional AI applications.
You can easily adapt our course to your daily schedule. All live lessons are recorded – if you are unable to attend the classes, the 24/7 platform will allow you to check the material at any time and anywhere. You will learn in small groups (maximum 16 students), so mentors will always have time to answer your questions and doubts.
Original educational platform
On the 24/7 Original educational platform you will find learning materials, lesson recordings and tasks. You can check your progress, report any problems to your mentor or arrange a consultation.
Live lessons take place twice a week and last 3 hours.
1. Complete the form
Complete the short form and we will contact you as soon as possible.
2. Clarifying the scope and your needs
We will arrange a meeting to learn about your needs and determine how we can help you by preparing the scope of the training.
3. Start of the course
We will forward the information to our operations department, which from then on will be in constant contact with you, provide materials and provide access to our platform.