Prompt Engineering is the cornerstone of the modern AI era. In this comprehensive 3-month masterclass, you will learn how to communicate effectively with Large Language Models (LLMs) to extract maximum value. The curriculum covers everything from basic zero-shot prompting to complex chain-of-thought and React paradigms. You will explore how to build structured outputs, manage context windows, and reduce model hallucinations. We dive into specialized prompting for different domains including coding, creative writing, and data analysis. By the end of this course, you will be able to build advanced AI-driven tools and automate intellectual tasks that previously required human intervention. This course is essential for anyone looking to stay ahead in the rapidly evolving job market where AI literacy is becoming a mandatory skill. Join us to transition from a simple AI user to a master of the machine's mind. Prepare to unlock the true potential of GPT-4, Claude, and specialized generative models. Your journey into the future of human-computer interaction starts here. You will learn the art of steering AI to generate code, summaries, and creative content with surgical precision. Our hands-on projects ensure you leave with a portfolio of prompts that solve real-world problems.
Module 1
What LLMs are, prompt anatomy, system vs. user prompts.
View details →Module 2
Templates, constraints, few-shot prompting.
View details →Module 3
Guiding models to reliable multi-step answers.
View details →Module 4
Using knowledge bases, embeddings, and RAG patterns.
View details →Module 5
Calling APIs, function-calling, and embedding pipelines.
View details →Module 6
Testing prompts, metrics, and iterative improvement.
View details →Module 7
Content filters, fairness checks, and privacy.
View details →Module 8
Build a tutoring assistant, summarizer, or classroom tool.
View details →Please register for the SMCS Student Portal to access your student profile, track your progress, and take your monthly assessments.
Register Now →APPLY TODAY FOR THE 2025/2026 ACADEMIC SESSION.