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Prompt Engineering 101 (Teacher's Day Offer available now)

via SWAYAM Plus

Overview

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Master the art of prompt engineering and professional AI skills with this 30-hour comprehensive program designed for students, professionals, and lifelong learners. Learn to craft effective prompts, optimize ChatGPT outputs, and integrate large language models into real-world workflows across business, marketing, finance, education, and more. The course offers hands-on learning with real-time AI feedback, industry-specific use cases, and proctored assessments to ensure integrity. Gain in-demand AI literacy, enhance productivity, and position yourself to lead AI adoption in your field. On completion, earn a recognized certification (Gold, Silver, or Bronze) and unlock the power of generative AI for lasting career advantage.

Intended audience

Prompt Engineering

Prerequisites

  • Basic English Proficiency

Assessment & certification

  • Assessment fee: Included — no extra fee
  • Assessment mode: Online proctored
  • Assessment type: MCQ, Scenario-Based
  • Assessment provider: Green Rider Technology
  • Certificate provider: Prompt Engineering

NCrF level: 5 (NCrF credit-eligible)

Syllabus

  • Week 1: Chapter 1: Prompt Writing
  • Week 2: Module 1: Understanding LLMS, Prompt and Prompt Engineering
  • Week 3: Module 2: Understanding Constraints in Prompts
  • Week 4: Module 3: How to Choose the Better Prompt
  • Week 5: Module 4: Understanding Prompting Techniques
  • Week 6: Module 5: Advanced Prompt Writing Assessment
  • Week 7: Chapter 2: Response Evaluation
  • Week 8: Module 1: Rating Responses and Writing Justifications
  • Week 9: Module 2: Understanding and Analysing Deviations
  • Week 10: Module 3: Test Your Learnings
  • Week 11: Module 4: Job Ready Assessment
  • Week 12: Module 5: Capstone Project
  • Week 13: Chapter 3: Professional Applications of Prompt Engineering
  • Week 14: Module 0: Understanding the Strengths of LLMs
  • Week 15: Module 1: Student Use Cases
  • Week 16: Module 2: Teacher Use Cases
  • Week 17: Module 3: Financial Analyst Use Cases
  • Week 18: Module 4: Business Analyst Use Cases
  • Week 19: Module 5: Lawyer Use Cases

Taught by

Saloni Srivastava, Head of AI Curriculum at Green Rider Technology- Curriculum and Course Creator

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