Certified Prompt Engineering Professional Training(CPEP) In Kaachi, Lahore, Islamabad, pakistan, Dubai

This course is designed to equip learners with the knowledge and skills to master prompt engineering techniques for AI-powered systems. You’ll learn how to design, optimize, and evaluate prompts for various applications—from content generation to coding, summarization, data analysis, customer support, and more.

Key Learnings

By the end of the course, learners will be able to:

Understand the fundamentals of prompt engineering.
Develop, test, and refine prompts for different AI models.
Apply few-shot, zero-shot, and chain-of-thought prompting techniques.
Use prompt engineering in real-world scenarios (e.g., content, coding, customer service).
Master prompt optimization and fine-tuning strategies.
Leverage tools and platforms like OpenAI Playground, LangChain, and prompt libraries.
Build mini prompt-based applications using no-code/low-code tools.

Course Modules

Module 1: Introduction to Prompt Engineering

What is Prompt Engineering?
Role in AI/LLM ecosystem
Overview of LLMs (GPT, Claude, Gemini, LLaMA, etc.)
Use cases and impact across industries

Module 2: Anatomy of a Prompt

Prompt components (Instructions, Context, Examples, Format)
Input-output structure
Prompt crafting best practices
Prompt tone and clarity

Module 3: Prompting Technique

Zero-shot prompting
One-shot and few-shot prompting
Chain-of-thought prompting
ReAct (Reasoning + Action) prompting
Self-refinement and multi-turn prompts

Module 4: Tools & Platforms for Prompt Engineering

OpenAI Playground
PromptPerfect, PromptLayer, and FlowGPT
LangChain, AutoGPT, AgentGPT (Overview)
Evaluating prompt performance

Module 5: Prompt Engineering for Different Domains

Content Generation: Blogs, emails, social media posts
Programming & Code Generation: Copilot, ChatGPT Code Interpreter
Customer Support Bots: FAQ, support reply templates
Business Use Cases: Report generation, meeting summaries
Data Analysis Prompts: Using structured and unstructured data

Module 6: Advanced Prompt Engineering

Dynamic and parameterized prompts
Prompt chaining and modular prompts
Building prompt templates for reuse
Incorporating feedback loops

Module 7: Building Prompt-Based Application

No-code tools for AI integration
Building chatbots with prompt workflows
Embedding prompts in business tools (Zapier, Notion AI, etc.)

Module 8: Capstone Project + Certification Assessment

Choose a real-world use case
Design and demonstrate the prompt solution
Peer feedback and instructor evaluation
Final test

Who this course is for:

Technology professionals aiming to enhance their skills in AI and prompt engineering.
Innovators are seeking to leverage AI tools for solving complex problems.
Industry leaders wanting to stay ahead in the field of AI communications.
Students of AI ethics are exploring the societal impacts of technology.
Professionals in conversational design are aiming to optimize AI interactions.
Technologists interested in the theoretical foundations of AI model interactions