The Prompt Engineering for ChatGPT course is a comprehensive program designed to equip learners with the skills to effectively interact with and leverage the capabilities of ChatGPT. Prompt Engineering is the process of responding to prompts or requests within an engineering context. This involves quick assessment, design, and implementation of solutions to meet various requirements or inquiries. The Prompt Engineering with ChatGPT course equips you with the necessary skills to craft effective and precise prompts for ChatGPT, enhancing its performance in generating high-quality responses. Learn techniques for handling complex queries, optimizing outputs, and applying AI to various tasks. Perfect for content creators, marketers, and professionals looking to master AI-driven communication. Through this course, you’ll learn how to craft clear and specific queries, fine-tune responses, and apply AI in creative, technical, and business contexts. You’ll also explore advanced techniques, ethical considerations, and real-world applications. Whether you're a marketer, content creator, or AI enthusiast, this course will equip you with the skills to master prompt engineering and make the most of ChatGPT.
Course Objectives:
In this course, you will learn to:
- Understand the basics of prompting, including prompt structure and styles, and recognize common pitfalls of Large Language Models (LLMs).
- Gain knowledge of OpenAI models, their definitions, types, and the specific needs and workings of ChatGPT.
- Explore ChatGPT's capabilities and key concepts of GPT-3.5 to maximize its potential in task execution.
- Apply effective prompting techniques to accomplish daily tasks such as summary generation, proofreading, and language translation.
- Utilize ChatGPT for technical tasks, including Excel formula creation and code writing/debugging, enhancing productivity.
- Harness the power of ChatGPT for creative tasks, enabling the generation of compelling headlines, taglines, and content creation.
- Navigate through different OpenAI applications, fine-tune ChatGPT using GPT-3.5 Playground, and explore image creation/editing with DALL.E 2.
- Master techniques of image prompting and understand their use cases with DALLE.2, Stable Diffusion, and Midjourney.
- Promote the use of debiasing and ensemble learning to increase the reliability and fairness of AI-generated content.
- Address transparency and privacy concerns in the use of AI, ensuring ethical and responsible application of ChatGPT and related technologies.
Course content
Introduction to Prompting
- Introduction
- What is Prompt Engineering?
- Understanding Prompts and its need
- Fine Tuning vs Prompting
- Overview of various Generative AI Models (GPT, Claude, DeepSeek, etc.)
Foundations of Language Models and Prompting
- Understanding Language Models
- Data Pre-Processing
- Generating Prompts
Core Principles of Effective Prompting
- Understanding Text Prompting
- Importance of Prompt Structure
- Key Components of an Effective Prompt
- Types of Prompts (Zero Shot, Multi short, Zero-shot CoT)
- Practical Applications of Text Prompting Techniques
- Pattern Matching
- Template-Based Prompt Generation
- Text Augmentation
Advance Prompting Techniques
- Prompt iteration strategies
- Summarization & Compression Strategies in Prompting
- File prompting strategies (Exploring Multimodel capability)
- Self-Consistency and Knowledge Prompting
- Transfer Learning for Prompt Engineering
- Fine-Tuning Models for Specific Tasks
- Adversarial Prompt Engineering
- Case Studies and Examples
Tour of OpenAI/Gemini Studio
- Experimenting with Model Parameters for Optimal Prompting
- Understand Context window and count tokens (for Text and Images)
- System instructions and tools
- Understanding quick app development using Google AI Studio
Image Prompting
- Basics of Image Prompting
- Creating Images with DALL·E 2
- Advanced Techniques for Enhancing Image Generation
- Use Cases and Examples in Image-based Applications
- Practical Applications of Image Prompting
Prompt Reliability
- Understanding AI Safety Risks
- Techniques for Promoting Debiasing in AI Responses
- Mitigating Risks in AI Responses
- Addressing Transparency in AI
- Practical Applications of Ethical Prompting
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Course Prerequisites
- Basic Python knowledge
- Basic understanding of artificial intelligence and machine learning concepts.
Who can attend
- Social Media Managers
- Customer Support Managers
- Digital Marketers
- E-commerce Managers
- Data Analysts
- AI and Machine Learning Enthusiasts
- Data Scientists and Analysts
- Software Developers and Engineers
- Content Creators and Digital Marketers
- Technical Writers and Copywriters
- Product Managers focusing on AI-enabled products
- UX/UI Designers interested in AI-driven design
- IT Professionals seeking to integrate AI into workflows
- Business Intelligence Professionals
Number of Hours: 25hrs
Certification
- OpenAI Foundation
- ChatGPT Foundations for Teachers
Key features
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
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- Materials
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- Materials
- Preparing for Certification
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