Certified Prompt Engineering Professional Training(CPEP)

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

Career Path After Completion

• Prompt Engineer
• AI Integration Specialist
• AI Content Strategist
• Conversational Designer
• AI Consultant
• Data & Automation Analyst

Flexible Class Options

• Weekend Classes For Professionals  SAT | SUN
• Corporate Group Trainings Available
• Online Classes – Live Virtual Class (L.V.C), Online Training