Practical Prompt Engineering & RAG Bootcamp (Build with ChatGPT & DeepSeek)

About the Course:

This hands-on bootcamp focuses on building real-world AI systems using prompt engineering and Retrieval-Augmented Generation (RAG). Instead of theory, you will learn how to design effective prompts, control LLM outputs, and integrate external data into intelligent applications. Using tools like ChatGPT and DeepSeek, you will build systems that can answer questions over custom data, automate workflows, and improve reliability beyond basic prompting.

Course Objectives:

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

• Design effective prompts for consistent, structured outputs
• Apply advanced prompt techniques (few-shot, role prompting)
• Build a complete RAG pipeline from scratch
• Integrate external data into LLM workflows
• Compare performance across different LLMs
• Improve accuracy and reduce hallucinations
• Develop practical AI tools for real-world use

Who is the Target Audience?

• Data scientists and ML engineers
• AI engineers and developers
• Software engineers building AI applications
• Anyone interested in practical LLM systems
• Product Managers
• Technical Consultants
• Solution Architects
• Startup Founders
• Business Analysts
• Innovation Professionals
• Digital Transformation Specialists
• Technical Educators
• AI Trainers
• Researchers
• Automation Specialists
• Data Analysts
• Analytics Professionals
• IT Professionals
• Enterprise AI Strategists

Basic Knowledge:

• Basic Python programming
• Familiarity with APIs, JSON, or working with AI/LLM tools
• Understanding of basic machine learning or NLP concepts
• Experience handling datasets such as PDFs, CSVs, or text documents
• Basic knowledge of software development workflows and debugging