Course Overview
TOPThe AI Prompt Engineering Course offers a comprehensive foundation in artificial intelligence and prompt engineering techniques. Participants will explore the principles of effective prompting, engage with advanced AI tools, and master various prompting strategies for optimal AI interaction. The program also includes project-based learning to apply concepts in real-world scenarios while addressing ethical considerations in AI development. This AI+ Prompt Engineer™: Level 1 prepares individuals to harness AI's potential through innovative prompting methodologies.
Scheduled Classes
TOP| 01/08/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 02/05/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 03/05/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 04/06/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 05/07/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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| 06/04/26 - NVT - Virtual Classroom - Virtual-Instructor Led | (click to enroll)
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What You'll Learn
TOP- Understand the Fundamentals and History of AI
- Master the Art of Prompt Engineering
- Explore AI Tools and Models
- Apply Prompt Engineering Techniques
- Utilize Image Model Techniques
- Engage in Project-Based Learning
- Navigate Ethical Considerations in AI
- Prepare for the Future of AI
Outline
TOPFoundations of Artificial Intelligence (AI) and Prompt Engineering
- Introduction to Artificial Intelligence
- History of AI
- Machine Learning Basics
- Deep Learning and Neural Networks
- Natural Language Processing (NLP)
- Prompt Engineering Fundamentals
Principles of Effective Prompting
- Introduction to the Principles of Effective Prompting
- Giving Directions
- Formatting Responses
- Providing Examples
- Evaluating Response Quality
- Dividing Labor
- Applying The Five Principles
- Fixing Failing Prompts
Introduction to AI Tools and Models
- Understanding AI Tools and Models
- Deep Dive into ChatGPT
- Exploring GPT-4
- Revolutionizing Art with DALL-E 2
- Introduction to Emerging Tools using GPT
- Specialized AI Models
- Advanced AI Models
- Google AI Innovations
- Comparative Analysis of AI Tools
- Practical Application Scenarios
- Harnessing AI’s Potential
Prompt Engineering Techniques
- Zero-Shot Prompting
- Few-Shot Prompting
- Chain-of-Thought Prompting
- Ensuring Self-Consistency in AI Responses
- Generate Knowledge Prompting
- Prompt Chaining
- Tree of Thoughts: Exploring Multiple Solutions
- Retrieval Augmented Generation
- Graph Prompting and Advanced Data Interpretation
- Application in Practice: Real-Life Scenarios
- Practical Exercises
Mastering Image Model Techniques
- Introduction to Image Models
- Understanding Image Generation
- Style Modifiers and Quality Boosters in Image Generation
- Advanced Prompt Engineering in AI Image Generation
- Prompt Rewriting for Image Models
- Image Modification Techniques: Inpainting and Outpainting
- Realistic Image Generation
- Realistic Models and Consistent Characters
- Practical Application of Image Model Techniques
Project-Based Learning Session
- Introduction to Project-Based Learning in AI
- Selecting a Project Theme
- Project Planning and Design in AI
- AI Implementation and Prompt Engineering
- Integrating Text and Image Models
- Evaluation and Integration in AI Projects
- Engaging and Effective Project Presentation
- Guided Project Example
Ethical Considerations and Future of AI
- Introduction to AI Ethics
- Bias and Fairness in AI Models
- Privacy and Data Security in AI
- The Imperative for Transparency in AI Operations
- Sustainable AI Development: An Imperative for the Future
- Ethical Scenario Analysis in AI: Navigating the Complex Landscape
- Navigating the Complex Landscape of AI Regulations and Governance
- Navigating the Regulatory Landscape: A Guide for AI Practitioners
- Ethical Frameworks and Guidelines in AI Development
Optional Module: AI Agents for Prompt Engineering
- What Are AI Agents
- Applications and Trends of AI Agents for Prompt Engineers
- How Does an AI Agent Work
- Core Characteristics of AI Agents
- Importance of AI Agents
- Types of AI Agents
Prerequisites
TOPRequired
- Understanding AI basics and practical applications without needing technical expertise.
- Being open to creative approaches for generating new ideas and using AI tools to achieve goals.
Recommended
- AI+ Everyone
--Or--
- AI+ Executive
Who Should Attend
TOP- AI Engineer
- IT Professional
- Prompt Engineer
