Prompt Engineering

Prompt Engineering with ChatGPT, Midjourney & Runway ML – Build Real-World AI Skills

Prompt engineering is the science of creating efficient inputs to achieve desired results from AI models, particularly large language models (LLMs) like ChatGPT, DALL·E, and others. The quality, precision, and inventiveness of the results are directly impacted by the way you interact with these intelligent systems. The art of prompting plays an important role in generating compelling content, designing visuals, solving complex problems, or automating tasks. AI continues to shape industries such as marketing, education, design, and software development. Whether you are a technical or non-technical professional, mastering prompt engineering has become an essential skill. Prompt engineering is not just about how to use an AI tool; it’s about directing it with precision and creativity. GALTech School’s Prompt Engineering course will equip you with the knowledge, tools, and real-world experience to become fluent in AI and thrive in the evolving digital landscape.

In the era of AI, prompt engineering is becoming a vital skill that allows people to interact with large language models (LLMs) such as ChatGPT, DALL·E, Claude, and more. Prompt engineering, as opposed to traditional programming, focuses on creating precise, objective inputs that direct AI to produce desired results. It plays an important role in the fields of design, automation, education, content creation, etc. This emerging field is changing the way we engage with AI and creating a multitude of job opportunities in various sectors. Deep coding knowledge is not necessary, but it is necessary to have a solid grasp of language, creativity, logic, and the ethical application of AI. Experts in multi-modal generation, AI tools, and prompt creation can put themselves at the forefront of innovation. Learning AI prompt engineering will be essential for anyone hoping to lead and adapt in the quickly evolving tech sector.

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Prompt Engineering

Prompt Engineering Training in Kerala

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GALTech School of Technology’s Prompt Engineering course provides a thorough, practical introduction to intelligent prompt design and AI interaction. This 4-week program covers the basics of AI and large language models (LLMs), how to create effective prompts, and techniques like zero-shot, few-shot, and chain-of-thought prompting. Along with practical applications in content writing, digital marketing, education, and design, students will learn role-based and multi-modal prompting for text, images, and audio. The course stresses prompt ethics, troubleshooting methods, and responsible AI. Students will complete a capstone project that is suited to their interests, work on mini-projects, and develop a prompt portfolio through project-based learning. This course gives you the knowledge and resources you need to become an expert in the way of prompting, whether you’re looking to generate compelling content, automate tasks, or create AI-powered visuals. 

Prompt Engineering

Prompt Engineering Course

Document

Week 01

Week 01

Foundations of AI, LLMs & Prompting

Introduction to AI, LLMs (Large Language Models), and Prompt Engineering
Understanding how language models work and their capabilities/limitations
Anatomy of a prompt: structure, context, tasks, and instructions
Ethics in prompting: bias, safety, and responsible usage
Hands-on with ChatGPT and prompt experimentation

Week 02

Week 02

Prompting Patterns & Techniques

Zero-shot, one-shot, and few-shot prompting with examples
Chain-of-thought prompting for step-by-step reasoning
Role-based prompting and prompt refinement techniques
Multi-modal prompting (text, image, audio) – theory and use cases
Prompt crafting challenge: generate, refine, and compare outputs

Week 03

Week 03

Application-Based Prompt Engineering

Content creation prompts: blogs, summaries, social media
Marketing prompts: ad copy, keywords, email subject lines
Visual prompting: image generation with DALL·E, Midjourney styles
Introduction to video/audio prompting and practical use cases
Project lab: develop content, marketing, and visual prompt assets

Week 04

Week 04

Advanced Use, Projects & Career Readiness

Specialized prompting for education, research, productivity
Building and using prompt libraries, templates, and tools
Troubleshooting ineffective prompts and optimizing outcomes
Capstone Project: Real-world prompting scenario from chosen domain
Presentation, review, and career pathway in prompt engineering
Week 01
Foundations of AI, LLMs & Prompting
Introduction to AI, LLMs (Large Language Models), and Prompt Engineering
Understanding how language models work and their capabilities/limitations
Anatomy of a prompt: structure, context, tasks, and instructions
Ethics in prompting: bias, safety, and responsible usage
Hands-on with ChatGPT and prompt experimentation
Week 02
Prompting Patterns & Techniques
Zero-shot, one-shot, and few-shot prompting with examples
Chain-of-thought prompting for step-by-step reasoning
Role-based prompting and prompt refinement techniques
Multi-modal prompting (text, image, audio) – theory and use cases
Prompt crafting challenge: generate, refine, and compare outputs
Week 03
Application-Based Prompt Engineering
Content creation prompts: blogs, summaries, social media
Marketing prompts: ad copy, keywords, email subject lines
Visual prompting: image generation with DALL·E, Midjourney styles
Introduction to video/audio prompting and practical use cases
Project lab: develop content, marketing, and visual prompt assets
Week 04
Advanced Use, Projects & Career Readiness
Specialized prompting for education, research, productivity
Building and using prompt libraries, templates, and tools
Troubleshooting ineffective prompts and optimizing outcomes
Capstone Project: Real-world prompting scenario from chosen domain
Presentation, review, and career pathway in prompt engineering

Prompt Engineering

Why GALTech?

Classes from Industry Experts

Project-based

Job-focused

Placement Assistance

Internship Programs

HD Video Recordings

Weekly Projects & Assignments

Industry-specific Curriculum

Peer-to-peer

Self-paced

Certification

Affordable Fees

Prompt Engineering

Who can join?

Graduates

Students who have completed their science degree (BSc, MSc, etc.) and want to build expertise in AI.

Professional Graduates

Those with degrees like BTech, BE, MTech, MCA, or a Diploma in CS/IT who want to enter the AI domain.

Working Professionals

Software engineers, data analysts, and IT professionals looking to switch careers or enhance their AI skill sets.

Common Queries

Frequently Asked Questions

Prompt Engineering is the practice of crafting effective inputs (prompts) to get accurate, creative, or targeted outputs from AI models like ChatGPT and DALL·E. It’s essential in today’s AI-driven world for content creation, automation, education, and more.

No prior programming or technical knowledge is required. The course is designed for both technical and non-technical learners who are interested in harnessing the power of AI tools.

You will work with tools like ChatGPT, DALL·E, Google Bard, and other LLM-based platforms for text, image, and multimedia generation.

Projects include content generation, marketing prompt kits, image prompts, and a capstone project where you’ll solve a real-world challenge using prompt engineering.

The course is highly hands-on with real-time prompt writing, experimentation, feedback loops, and live project-based learning.

This course can open doors to roles in content strategy, AI consulting, marketing, automation, product development, and even AI agent creation.

Yes, all students will receive a Course Completion Certificate from GALTech School of Technology upon successful completion.

The course runs for 4 weeks (40 hours) with classes held 2 hours/day, 5 days a week

Prompt Engineering

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