Description
About Prompt Engineering :
Prompt engineering is strategically designing and modifying prompts used in ChatGPT to achieve desired outputs and crafting prompts that provide clear instructions, relevant context, or specific constraints to guide the generation process.
The course begins with an introduction to prompt engineering and then briefly covers the course overview and objectives and any additional resources available in the course.
You then move over to the basics of prompt engineering in further detail, including inputs, outputs, parameters, and learning to craft simple prompts.
You will then evaluate the prompts and the best practices and tricks in prompts engineering techniques, Chain-of-Thought prompting, multilingual and multimodal prompts, and the non-deterministic nature of AI and human-AI collaboration.
You will automate emails and social media posts and generate content in blogs, articles, and reports.
You will indulge in creative writing and brainstorming to generate ideas and drafts, efficient research and information curation, task management, and decision-making.
You will explore fairness and reducing bias, privacy, and data security.
Upon completing the course, You will look at real-life scenarios and use cases for AI, learn to use prompt engineering, and practice newly learned techniques to leverage the power of prompts in ChatGPT
The following topics will be covered as part of Prompt engineering Course.
Introduction to Prompt Engineering
Introduction
Course Overview and Objectives
What Is Prompt Engineering?
A Short Talk about the Additional Resources of the Course
Important Definitions and Key Concepts
Basics of Prompt Engineering
Introduction
Understanding Prompts: Inputs, Outputs, and Parameters
Crafting Simple Prompts: Techniques and Best Practices
Evaluating and Refining Prompts: An Iterative Process
Basic Principles for Interacting with AI
Role Prompting and Nested Prompts
Advanced Prompt Engineering Techniques
Introduction
Chain-of-Thought Prompting
Multilingual and Multimodal Prompt Engineering
Understanding the Non-Deterministic Nature of AI
Human-AI Collaboration: Best Practices and Strategies
Generating Ideas Using “Chaos Prompting”
Writing Code with the Help of AI Part 1
Writing Code with the Help of AI Part 2
Using Prompt Compression Techniques
Problem-Solving and Generation of Visual Outputs
AI-Assisted Questioning
Prompt Engineering Use Cases in Everyday Tasks - Part 1
Introduction
Automating Emails and Social Media Posts
Content Generation: Blogs, Articles, and Reports
Task Delegation and Project Management
Customer Support: Enhancing Human-Agent Collaboration
Retail and eCommerce: AI-Driven Personalization and Efficiency
Data Analysis: Augmenting Human Insights with AI
Prompt Engineering Use Cases in Everyday Tasks - Part 2
Introduction
Creative Writing and Brainstorming: Using AI to Generate Ideas and Drafts
Efficient Research and Information Curation: AI-Powered Summarization and Analysis
Enhancing Communication Skills: AI-Assisted Proofreading and Writing
AI-Driven Task Management and Decision Making
AI-Powered Professional Development and Lifelong Learning
Ethics and Considerations in Prompt Engineering
Introduction
Ensuring Fairness and Reducing Bias
Privacy and Data Security
Responsible AI and the Future of Work
Using ChatGPT Plugins and Custom Instructions
An Introduction to ChatGPT Plugins
Deep Dive into ChatGPT Plugins
The Advanced Data Analysis Plugin (The Code Interpreter)
The Advanced Data Analysis Plugin – Part 2
The Advanced Data Analysis Plugin – Part 3
The “Custom Instructions” Feature in ChatGPT
Course Conclusion and Key Takeaways
Prerequisites
Python Programming Knowledge helpful.
Duration & Timings :
Total Hours – 60 Hours.
Training Type: Online Live Interactive Session.
Faculty: Experienced.
Access to Class Recordings.
Weekday Session – Mon – Thu 8:30 PM to 10:30 PM (EST) – 8 Weeks. April 7, 2025.
Weekend Session – Sat & Sun 9:30 AM to 12:30 PM (EST) – 10 Weeks. May 3, 2025.
Inquiry Now
USA: +1 734 418 2465 | India: +91 40 4018 1306
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