Fundamentals of Prompt Engineering with Applied AI

Why should you take Fundamentals of Prompt Engineering with Applied AI Course?

• Learning Outcomes
• Understand how Large Language Models (LLMs) work and how to guide them effectively
• Learn to write clear, structured, and impactful prompts for varied use cases
• Master techniques like role-based, persona-driven, and multi-step prompting
• Apply AI tools to real-world business scenarios in HR, Marketing, Finance, and Operations
• Build ethical awareness by identifying and minimizing bias in AI outputs
• Execute an end-to-end live project by translating business problems into AI-powered solutions
• Develop skills that are in high demand across industries as AI becomes a core business enabler

Who should take Fundamentals of Prompt Engineering with Applied AI Course?

• Intended Audience
• Working professionals looking to leverage AI for smarter workflows
• Marketing, HR, Finance & Operations experts seeking domain-specific AI applications
• Entrepreneurs and business owners exploring AI for productivity and automation
• Students & freshers aiming to build future-ready AI skills
• Curious learners who want to understand how AI tools like ChatGPT actually work and how to use them effectively

Curriculum

AI & Prompt Engineering is an emerging field that focuses on guiding artificial intelligence systems through well-structured prompts to generate meaningful and contextually accurate outputs.

To help you build a comprehensive understanding of AI and prompting techniques, we have structured this course into five modules, each designed with a clear objective and skill focus:

• In the first module, Introduction to AI & Prompt Engineering, you will gain a foundational understanding of Artificial Intelligence, its applications, and how Large Language Models (LLMs) work. This includes key concepts like zero-shot, few-shot learning, and fine-tuning, along with the crucial role prompts play in influencing AI outputs.
• The second module dives into the Core Principles of Effective Prompting. Here, you’ll learn how to construct clear and structured prompts using frameworks like context > task > format > constraints. You’ll also explore role-based prompting to enhance specificity and control.
• In the third module, Advanced Prompt Engineering Techniques are covered. You will explore advanced methods such as chain-of-thought prompting, persona-based prompting, and learn how to reduce AI hallucination and bias—crucial for creating responsible and accurate AI outputs.
• The fourth module is about AI in Business & Specializations. You will discover how prompting can be tailored for specific business functions whether it is HR, Marketing, Finance, or Operations, and understand the real-world use cases in each domain.
• The fifth and final module involves a Prompt Engineering Live Project. Students will be guided through project planning and execution, with examples relevant to their chosen specialization. You’ll work individually or in groups to design a prompt chain or automation task, applying everything you’ve learned in a hands-on way.

Though complex in nature, AI becomes incredibly accessible and impactful when guided by well-crafted prompts, making this a must-learn skill for professionals across industries.

Tools you will learn in Fundamentals of Prompt Engineering with Applied AI Course

In our comprehensive AI & Prompt Engineering course, you will develop practical skills and techniques to effectively apply AI in real-world scenarios across business functions:

• Real-world applications like content generation, chatbots, and coding assistants
• Understanding how LLMs work and generate outputs
• Writing structured, clear, and impactful prompts
• Transforming vague prompts into specific, actionable instructions
• Using personas, roles, and constraints for realistic simulations
• Designing multi-step, ethical prompt flows for sensitive use cases
• Exploring domain-specific prompts for HR, Marketing, Finance, and Operations
• Executing a complete project by solving real business problems with AI prompts
• Evaluating prompt quality based on accuracy, ethics, and outcome impact