Course curriculum

  • 1

    Module 1: Introduction

    • Introduction to Certified Prompt Engineering

    • What is Prompt Engineering?

    • Importance of prompt engineering

    • Importance and Real-World Applications

    • Understanding AI & the Role of Prompt Engineering
  • 2

    Module 2: Foundations of AI Prompting

    • How AI Understands and Processes Prompts

    • Key Concepts: Tokens, Temperature, and Top-P

    • Types of Prompts

    • Common Mistakes and Best Practices in Prompting

    • Problems and challenges with prompts

  • 3

    Module 3: Principles of Effective Prompt Engineering

    • Advanced Prompting Strategies & Best Practices

    • Clarity and Specificity in prompts

    • Dealing with Ambiguity

    • Handling Sensitive Topics & Content Safeguards

    • Importance of Context

    • Useful Prompt Templates

  • 4

    Module 5: Core Prompting Strategies

    • Zero-shot, One-shot, and Few-shot Prompting

    • Chain-of-Thought (CoT) for Reasoning Tasks

    • Prompt Tuning at Scale

    • Building Iterative and Interactive Prompt Chains

  • 5

    Module 6: Applied Prompt Engineering

    • Step-by-Step Prompt Design Workflow

    • Text Summarisation Prompts

    • Information Extraction Prompts

    • Question Answering Prompts

    • Text Classification Prompts

    • Code Generation Prompts

    • Prompt engineering for Paraphrasing

    • Analysing and Evaluating Prompt Performance

  • 6

    Module 7: Advanced Prompting Techniques

    • Multimodal Prompting (Text, Image, Audio, Video)

    • System and Instruction-Tuned Prompts

    • Prompting for Data Science, Analysis, and Research

    • Multilingual and Multicultural Prompt Design

    • Ethical AI & Bias Mitigation Strategies
  • 7

    Module 8: Technical Integration & Automation

    • Automating Tasks with Zapier, Make, LangChain

    • Using Vector Databases (Pinecone, ChromaDB)

  • 8

    Module 9: Next-Generation Prompting & AI Agents

    • AI Agents: AutoGPT, BabyAGI, CrewAI, OpenDevin

    • No-Code Prompt-Based App Builders (e.g., Cognosys, Flowise)

    • Voice & Video Prompting: Real-Time Interactions (2025 course folder)
  • 9

    Module 10: Security, Privacy, and Ethical AI

    • AI security risks (prompt injection, adversarial attacks)

    • Mitigating data leakage using data masking

    • GDPR, HIPAA, and compliance considerations with LLMs (New chatgpt expert 11.4)