Course Information

• Module 01: Introduction to Generative AI

  This module introduces learners to the core concepts of Artificial Intelligence and its generative capabilities. It covers the evolution of AI, Large Language Models (LLMs), and how generative algorithms create new data, text, and visuals. Learners will explore use cases across industries and understand how these models are transforming creativity and productivity.

• Module 02: Understanding Large Language Models (LLMs)

  Learners will gain insight into how LLMs like GPT, Gemini, Claude, and others function. Topics include neural network architecture, training datasets, and prompt-response mechanisms. The module also explains how to fine-tune and interpret LLM outputs for accuracy and context.

• Module 03: Foundations of Prompt Engineering

  This module focuses on the structure, logic, and psychology behind prompt design. Learners will study types of prompts — zero-shot, few-shot, and chain-of-thought — and understand how wording influences AI output. They will also experiment with iterative refinement and contextual layering to improve prompt quality.

• Module 04: Tools & Platforms for Generative AI

  A practical deep dive into leading AI tools including ChatGPT, Jasper, Midjourney, Gemini, DALL·E, and Copilot. Learners will explore how to use these platforms effectively for diverse applications such as text, image, video, and code generation.

• Module 05 : Applied Prompt Engineering for Real-world Tasks

  This hands-on module teaches application-based prompt engineering for education, business communication, marketing, and research. Learners will build mini-projects like content creators, idea generators, chatbots, and automated writing assistants.

• Module 06: Integrating Generative AI into Workflows

  Learners will explore how to integrate AI tools into business and personal productivity workflows. The module includes demonstrations of automation using AI with Google Workspace, MS Office, Notion, and project management tools.

• Module 07: Ethics, Bias, and Responsible AI Use

  This module emphasizes responsible AI usage, addressing ethical challenges, data privacy, bias mitigation, and prompt safety. Learners will analyze case studies to understand responsible AI deployment in real-world scenarios.

• Module 08: Capstone Project & Certification Assessment

  The final module allows learners to apply all their knowledge through a guided project. They will create an AI-driven solution or automation system using prompt design and workflow integration. Successful completion leads to certification jointly issued by EduDelphi and CPD, UK.