Master the Art of Prompt Engineering

Course Info

Length:

5 Days

Type:

In Classroom

City:

Kuala Lumpur
Available DatesVenue
2025-07-07Kuala Lumpur
2025-10-06Kuala Lumpur
Available DatesOther Venue
2025-05-05Dubai
2025-06-30London
2025-07-07Amsterdam
2025-07-07Barcelona
2025-07-07Paris
2025-07-07Istanbul
2025-07-07Singapore
2025-07-07Dubai
2025-08-04London
2025-09-29Dubai
2025-10-06Singapore
2025-10-06London
2025-10-06Istanbul
2025-10-06Paris
2025-10-06Barcelona
2025-10-06Amsterdam
2025-11-03Dubai
2025-12-29London

Course Details

  • Introduction

  • Objective

  • Who should attend

  • Course Location

Welcome to this exciting 5-day exploration of "Master the Art of Prompt Engineering"! This immersive learning journey was designed by LPC to propel you into the dynamic world of prompt engineering, a revolutionary skillset that unlocks the true potential of large language models (LLMs).

 

Over the next five days at LPC, you will dive into the fundamentals of prompt engineers and master its techniques. We'll begin by demystifying the core concepts of prompts and LLMs, ensuring you have a solid foundation. Moving forward, we'll learn how to craft   effective prompts, exploring various patterns and techniques to achieve your desired outcomes.

 

By the course's end, you'll be ready to leverage the power of prompt engineering for various applications, from generating captivating content to crafting clean code. Let's team up to decode the fascinating world of prompt engineering in this LPC-crafted, hands-on learning experience.

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

Foundation of Large Language Models (LLMs)

 

  • Understanding LLMs concepts and its applications
  • Identifying LLMS types:


  •      Autoregressive language models
  •      Transformer-based models
  •      Encoder-decoder models
  •      Pre-trained and fine-tuned models
  •      Multi-language models
  •      Hybrid models


  • Understanding LLMS training process:


  •       Pre-training
  •       Fine-tuning


  • Exploring LLM frameworks:


  •         Open AI’s GPT
  •          BERT


  • Navigating LLMs Issues:


  •     Confabulation
  •     Hallucination

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