Prompt Engineering for AI Training

This course provides comprehensive knowledge of Prompt Engineering in the context of Artificial Intelligence, particularly focusing on Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, LLaMA, and more. Learners will gain hands-on experience in crafting, optimizing, and deploying effective prompts across a variety of AI applications.

Key Learnings

By the end of this course, learners will:

• Understand how AI and LLMs interpret prompts.
• Master different prompting techniques (zero-shot, few-shot, etc.).
• Design AI-driven workflows using prompt engineering.
• Apply prompting in real-world domains like content creation, coding, education, data analysis, and customer support.
• Work with tools like OpenAI Playground, APIs, and no-code integration platforms.
• Build and test prompt-based solutions and applications.

Course Modules

Module 1: Introduction to AI & Prompt Engineering

• What is Artificial Intelligence?
• What is a Prompt in AI?
• Introduction to LLMs (GPT, Claude, Gemini, etc.)
• Role of Prompt Engineering in the AI lifecycle

Module 2: Anatomy of an Effective Prompt

• Key components: instruction, context, format
• Understanding prompt behavior
• Controlling tone, persona, and style
• Examples of good vs. poor prompts

Module 3: Prompting Techniques

• Zero-shot prompting
• Few-shot and one-shot prompting
• Chain-of-thought reasoning
• Role-based prompting
• Iterative refinement techniques

Module 4: Prompt Engineering Tools & Platform

• OpenAI Playground and API usage
• PromptBase, FlowGPT, PromptLayer
• LangChain and AgentGPT overview
• Monitoring and evaluating prompt performance

Module 5: Domain-Specific Prompt Engineering

Hours: 4

• Content Creation: Blogs, emails, storytelling
• Education: Tutoring, quizzes, training material
• Programming: Code generation, explanation, debugging
• Customer Service: Scripts, response templates, bots
• Data Analysis: Using LLMs to summarize and interpret data

Module 6: Advanced Prompt Strategies

• Dynamic and parameterized prompts
• Modular prompt flows
• Building prompt templates
• Prompt testing and optimization

Module 7: Final Capstone Project & Certification

• Choose and develop a prompt-based solution
• Apply end-to-end prompt engineering concepts
• Present the solution in a real-world scenario
• Course review and final assessment
• Certification: Prompt Engineering for AI – Certified Professional

Who Should Attend?

• Developers & Tech Professionals

• Content Creators & Writers

• AI Enthusiasts & Data Analysts

• Customer Support Specialists

• Business Process Experts

• Educators & Trainers

Career Path Opportunities

• Prompt Engineer

• AI Product Specialist

• Conversational Designer

• AI Content Strategist

• Virtual Assistant Developer

• LLM App Integrator

Flexible Class Options

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