Programme outline
Learning objectives
By the end of the course, participants will:
- Gain a strong foundation in AI, its evolution, societal impact, and core technologies like Neural Networks and NLP.
- Master designing effective prompts using technical knowledge, creative reasoning, and domain insight.
- Learn to customise prompts for various applications, industries, and user needs from analysis to automation.
- Acquire hands-on experience through labs and case studies to build, test, and refine prompts for real-world use.
- Understand key ethical issues in prompt engineering, including bias, fairness, safety, privacy, hallucinations, and responsible use.
- Apply regulatory and organisational guidelines to ensure transparent, compliant, and responsible AI deployment.
- Explore a full range of prompting techniques, from basic (instruction, zero-shot, few-shot) to advanced (chain-of-thought, self-correction, role, multi-agent, tool-augmented).
- Develop the ability to anticipate emerging trends like agentic systems and multimodal models to stay future-ready in prompt engineering.
Day 1
- Introduction to Prompt Engineering: Evolution, Importance, and Ethical Considerations
- Deep Dive into Language Models: Understanding How AI Understands
- GPT and Similar Models (Current versions of ChatGPT, Gemini, Grok, DeepSeek, Perplexity, etc.)
- Hands-on: Crafting Your First Prompts – The Essentials of Clarity and Relevance
- Pillars of Prompting
- Introduction to Google AI Studio (and similar AI models for ‘no code’ build)
- Advanced Text Model Techniques
Day 2
- Mastering Prompt Design: Techniques for Constraints and Bias Handling
- Prompt Engineering Strategies: Debiasing and Context Manipulation
- Interactive: Crafting Complex Prompts – Scenario-Based Challenges
- Understanding Prompt Engineering Models
- Applications of Prompt Engineering
- Online Assessment (1 hour)
Assessment
- Assessment – 20 MCQ (Virtual)
- GSDC Certification Assessment is available after 3 days of course completion