What you'll learn

Course Description This course, Master Prompt Engineering with AI: Effective Use of AI-Powered Prompts, equips learners with essential skills to design, optimize, and implement prompts that elicit precise, relevant, and creative responses from advanced AI language models. Through practical sessions and case studies, participants will gain hands-on experience in crafting prompts tailored for diverse applications—from business analytics and content generation to customer engagement and educational uses. The course blends foundational techniques with advanced strategies such as chain-of-thought prompting and role-based instructions, empowering learners to fully harness AI’s potential for innovation and efficiency. Learning Outcomes By the end of this course, participants will be able to: Understand the core concepts and significance of prompt engineering in AI interactions. Identify and apply different types and structures of prompts to maximize AI model effectiveness. Employ iterative refinement techniques and utilize contextual cues to improve prompt outputs. Design prompts for specific industries such as marketing, analytics, coding, and customer service. Analyze and troubleshoot prompt responses to ensure accuracy, relevance, and ethical AI usage. Integrate AI prompts into business processes to solve real-world challenges creatively and efficiently. Create a personalized prompt library for ongoing skill development and innovation.

  • "Day 1: Introduction to Prompt Engineering and its significance " "Day 2: Understanding AI language models and how they process prompts " "Day 3: Anatomy of an effective prompt " "Day 4: Common uses and applications of AI-generated outputs " "Day 5: Key ethical considerations in using AI for content generation "
  • Day 6: Types of prompts: open-ended vs. closed-ended Day 7: Using context and role specification for better outputs Day 8: Iterative prompt refinement and feedback Day 9: Strategies for testing prompt effectiveness Day 10: CA1
  • "Day 11: Writing concise, specific, and goal-oriented prompts " "Day 12: Troubleshooting poor or irrelevant AI responses " "Day 13: Using system and user instructions for multi-turn conversations " "Day 14: Exploring prompt templates and automation workflows " "Day 15: Analyzing real-world prompt engineering case studies "
  • "Day 16: Prompt engineering for business analytics and data interpretation " "Day 17: Creative and marketing content generation with AI " "Day 18: Improving customer service (chatbot and virtual assistant prompts) " "Day 19: Prompting for coding and technical tasks with AI tools " Day 20: CA2
  • "Day 21: Controlling tone, style, and length in AI outputs " "Day 22: Handling ambiguity and bias in prompts " "Day 23: Multi-language and translation prompts " "Day 24: Integrating AI prompts into business workflows " "Day 25: Certificate of Completion distribution / Capstone Project "
  • "Day 26: Keeping up with advancements in AI prompting " "Day 27: Prompt engineering for research and academic applications " "Day 28: Building a personal prompt library and best practices documentation " "Day 29: Showcasing outcomes: Creating a Prompt Portfolio " Day 30: CA3

Kumar Kartikain Shivam
Assistant Professor

Kumar Kartikain Shivam, Assistant Professor of Soft Skills at Lovely Professional University (LPU), equips professionals with the expertise to excel in the corporate world. With a decade of experience in industry, HR, and academics, he has developed a unique understanding of the skills required to succeed in today's fast-paced business environment. He empowers professionals to enhance their leadership, communication, and teamwork skills, enabling them to drive results, innovate, and thrive in an ever-changing landscape. As a seasoned expert, Mr. Shivam provides guidance on navigating workplace challenges, building effective relationships, and advancing careers. His expertise helps professionals unlock their full potential and achieve success through their skills and upgrade them using AI.