The Art & Science of Prompt Engineering

Course Instructor Ganta Srinath Reddy

FREE

Course Overview

Schedule of Classes

Course Curriculum

4 Subjects

The Art & Science of Prompt Engineering

3 Learning Materials

Module 1: Introduction to Prompt Engineering

AGENDA

Module 2: Foundations of Effective Prompting

AGENDA

Advanced Prompting Techniques (5 Hours)

AGENDA

Module 1: Introduction to Prompt Engineering

7 Learning Materials

1.1 Understanding AI and LLMs

Presentation

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1.2 Working of LLMs

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1.3 Input Processing

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1.4 Basics of Prompting

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1.5 Role of Clarity, Context, and Constraints

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1.6 Common Mistakes in Prompting

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1.7 Prompt Engineering in Action

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Module 2: Foundations of Effective Prompting

12 Learning Materials

2.1 Structuring Prompts for Accuracy

Presentation

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2.2 Role of Specificity and Context in Prompting

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2.3 Prompt Frameworks: Zero-shot, One-shot, Few-shot Prompting

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2.4 Improving Prompt Effectiveness

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2.5 Balancing Creativity vs. Accuracy in Responses

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2.6 Using Constraints and Examples to Guide AI

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2.7 Refining and Optimizing Prompts

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2.8 Handling Edge Cases

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2.9 Ethical Considerations in Prompt Engineering

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2.10 Ethical Case Studies

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2.11 Advanced Prompt Debugging

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2.12 Using AI Feedback to Improve Prompting

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Module 3: Advanced Prompting Techniques

13 Learning Materials

3.1 Chain of Thought Prompting

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3.2 Improving AI Reasoning with CoT

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3.3 Implementing CoT for Logical Problems

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3.4 Role Prompting and Instruction Tuning

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3.5 Instruction Tuning to Improve Outputs

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3.6 Hands-on Activity: Writing AI Role-based Instructions

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3.7 Multi-Turn Conversations and Memory in Prompting

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3.8 Conversation History and Memory in AI

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3.9 Optimizing AI for Long-form Conversations

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3.10 Prompt Chaining and Dynamic Prompting

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3.11 Dynamic Prompting with APIs and External Data

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3.12 Hands-on Activity: Building a Multi-step Prompt

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3.13 Project-Based Application

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Course Instructor

Ganta Srinath Reddy

10 Courses • 143 Students