Generative AI Development with Python

Duration:

4 Days

The Generative AI Development with Python course is a hands-on training program designed to help developers and technical professionals build real-world AI applications using modern tools and frameworks.

This course covers the fundamentals of generative AI, including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and agent-based workflows. Participants will learn how to develop AI-powered applications using Python and integrate technologies such as local LLMs, vector databases, and web-based interfaces.

Through practical exercises and guided implementation, learners will gain the skills needed to design, build, and deploy intelligent systems that can be used across business, automation, and digital product environments.

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Course Objectives

By the end of this course, participants will be able to:

Understand the fundamentals of generative AI and large language models
Apply prompt engineering techniques for reliable AI outputs
Build AI applications using Python and modern development frameworks
Implement retrieval-augmented generation (RAG) for context-aware systems
Develop and integrate AI agents into workflows
Deploy AI-powered applications for real-world use cases

Course Features

Hands-on, project-based AI development using Python

Practical implementation of generative AI, RAG, and AI agents

Exposure to modern AI tools such as local LLMs and vector databases

Real-world use cases and guided development exercises

Focus on building scalable and production-ready AI applications

Who Should Attend

This course is ideal for:

Software developers and engineers
AI and machine learning practitioners
Technical professionals exploring generative AI development
IT teams building AI-powered applications
Individuals with basic programming knowledge looking to enter AI development

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