Agentic AI Application Development with LLMs

Course Description

The fast pace of development in large language models (LLMs) and agentic AI technologies has made it possible to use them in enterprise-grade applications. This course equips software developers, IT professionals, and technical managers with the practical skills, frameworks, and architectural patterns needed to design and deliver agentic AI solutions.

Participants gain hands-on experience with LLM APIs, LangChain, Retrieval-Augmented Generation (RAG), and agentic orchestration patterns, while understanding how to evaluate and govern their systems using industry tools such as LangSmith.

Main Topics

• Using closed- and open-source LLMs via APIs and LangChain
• Prompt engineering for chatbots and agentic applications
• Designing Retrieval-Augmented Generation pipelines
• Building agent workflows, autonomous agents, and deep agents
• Evaluating and tracing agentic systems with LangSmith

Target Audience

Software developers, testers, DevOps specialists, and technical managers who want to create agentic AI applications in Python or other languages using LLM APIs and open-source frameworks.

Prerequisites

Basic understanding of AI, Python fundamentals, and experience with ChatGPT or similar chatbots.