Prompt Engineering

Prompt Engineering is the latest in-demand skill for working with AI tools like ChatGPT, Bard, MidJourney, and other generative AI systems. This course teaches how to design effective prompts to get accurate, creative, and useful outputs from AI models. It is ideal for students, professionals, content creators, and businesses wanting to use AI productively.

Duration: Flexible

Fees: Contact us for details

Syllabus Highlights

Introduction to Generative AI & Prompt Engineering
Basics of Large Language Models (LLMs)
Types of Prompts (Instructional, Conversational, Creative, Analytical)
Prompt Structuring & Best Practices
Role of Context, Examples, and Constraints
Multi-turn Prompting (Chaining & Iterative Refinement)
Few-Shot & Zero-Shot Prompting
Advanced Prompting (Role-based, Persona-driven, System Prompts)
Prompt Engineering for:
Content Creation (blogs, ads, social media)
Programming & Automation (code generation, debugging)
Business Applications (emails, reports, presentations)
Design & Creativity (images, storytelling, branding)
Introduction to Tools (ChatGPT, MidJourney, Stable Diffusion, Jasper AI, etc.)
Ethics, Bias & Limitations in AI Outputs

Projects

Creating Content Templates with Prompts
Automating Tasks with AI Prompting
Building a Chatbot Workflow with Prompt Chaining
Generating Business Reports from Data using Prompts
Creative AI Project (Story, Design, or App Idea with Prompts)

Outcomes

Strong understanding of how AI models work with prompts
Ability to design effective prompts for different domains
Hands-on skills with AI tools for productivity & creativity
Readiness for roles in AI content creation, automation, data analysis & business solutions