Technologies / Software Development

GPT-4 and LLM Applications - Programming Course with RAG and LangChain

Intensive programming course teaching how to build applications using Large Language Models. The program covers the full cycle from prototype to production deployment using RAG, vector databases, and fine-tuning. The workshop focuses on practical building of real solutions ready for deployment. The practical methodology ensures skill acquisition through direct programming and implementation.

Required Participant Preparation

Solid programming knowledge in Python or JavaScript. Experience working with APIs and web frameworks. Basic knowledge of machine learning and data analysis. Ability to work with databases and distributed systems. Knowledge of software architecture fundamentals and design patterns.

Benefits

Participants will fully master the ability to build production-ready AI applications
They will achieve 60% API cost reduction through process optimization
They will shorten time-to-market for AI projects by 50%
They will gain competitive advantage through early technology adoption
They will apply scalable and secure architecture in real projects
They will build in monitoring and observability into solutions from the start
They will implement deployment best practices according to corporate standards

Who is this training for?

Python/JavaScript developers

Software architects

Technical product managers

Data analysts

Machine Learning engineers

Senior developers

Technical leaders

Training program

LLM integration frameworks: LangChain, LlamaIndex
Embeddings and vector databases (Pinecone, Weaviate, Chroma)
Semantic search implementation and result ranking
LLM architecture in application environments

Knowledge base building and data source management
Text splitting and chunking strategies
Hybrid search (keywords + semantic)
Combining context with prompt engineering

Model fine-tuning vs few-shot learning
Cost optimization strategies and query caching
LLM monitoring, logging, and observability
Data security and regulatory compliance

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Training Topics

Frequently asked questions

What are the prerequisites for this training?

The GPT-4 and LLM Applications - Programming Course with RAG and LangChain training does not require specialized prior knowledge. Basic IT knowledge is sufficient.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Python/JavaScript developers; Software architects; Technical product managers.

What practical skills will I gain from this training?

You will master building production-ready AI applications using LLMs, implement RAG architectures with vector databases, apply LangChain for orchestration, and deploy solutions with up to 60% API cost reduction and 50% faster time-to-market.

What topics does the program cover?

The program covers LLM fundamentals in applications, Retrieval-Augmented Generation (RAG) implementation, vector database integration, LangChain orchestration, fine-tuning techniques, and production deployment with scalable and secure architecture.

Do I receive a certificate after completing this training?

Yes, upon successful completion you receive an EITT certificate confirming your skills in GPT-4 and LLM application development with RAG and LangChain. The certificate is recognized by employers in the IT industry.