AI+ Prompting Fundamentals™ – Course Outline
Program Overview
The AI+ Prompting Fundamentals™ certification is a foundational, hands-on training program designed to introduce learners to the core principles of Artificial Intelligence (AI) and Prompt Engineering. The program focuses on how users can effectively communicate with AI systems by designing clear, structured, and optimized prompts to generate accurate, relevant, and high-quality outputs.
As AI tools such as large language models and generative systems become widely adopted across industries, prompt engineering has emerged as a critical skill for professionals in business, education, technology, and creative fields. This program builds strong fundamentals in how AI models work, how prompts influence outputs, and how to improve AI responses through structured techniques.
Participants will explore foundational AI concepts, natural language processing, and the mechanics of AI models such as ChatGPT and other generative platforms. The course emphasizes practical prompt creation techniques, optimization strategies, and real-world use cases across text, image, and problem-solving applications.
By the end of the program, learners will be able to design effective prompts, interact efficiently with AI tools, and apply prompt engineering techniques in practical and professional scenarios.
Course Objectives
By the end of this program, participants will be able to:
• Understand foundational concepts of Artificial Intelligence and machine learning
• Explain how large language models and generative AI systems work
• Design clear and structured prompts for improved AI outputs
• Apply advanced prompting techniques for different use cases
• Evaluate and refine AI-generated responses for accuracy and relevance
• Use AI tools for text, image, and creative generation tasks
• Apply structured reasoning techniques such as chaining and decomposition
• Understand ethical considerations in AI usage and prompt design
• Improve productivity using AI-assisted workflows
• Develop practical skills in real-world prompt engineering applications
Target Audience
This program is designed for:
• Beginners in Artificial Intelligence and prompt engineering
• Business professionals using AI tools for productivity
• Students and graduates from any discipline
• Content creators and digital marketers
• Developers and IT professionals exploring generative AI
• Designers and creative professionals using AI tools
• Educators and trainers integrating AI into learning
• Analysts and researchers working with AI-based systems
• Professionals transitioning into AI-enabled roles
• Anyone interested in practical AI usage skills
Course Duration
• Instructor-Led: 1 day (live or virtual)
• Self-Paced: 8 hours of content
Assessment
Assessment is designed to evaluate conceptual understanding and practical prompt engineering skills:
• Module-based quizzes on AI and prompt engineering fundamentals
• Practical exercises on prompt creation and optimization
• Scenario-based tasks for improving AI responses
• Case-based analysis of real-world AI interactions
• Hands-on exercises using text and image-based AI tools
• Final capstone activity demonstrating a structured prompt engineering solution (e.g., AI assistant workflow, content generation system, or multi-step reasoning prompt design)
Certification
Upon successful completion of all assessments and the final project, participants will be awarded the AI+ Prompting Fundamentals™ Certification.
This certification validates the learner’s ability to effectively interact with AI systems using structured prompting techniques and apply foundational prompt engineering skills in real-world scenarios.
Training Methodology
The program follows a practical, interactive, and application-focused learning approach:
• Instructor-led virtual or classroom sessions
• Interactive lectures covering AI fundamentals and prompt engineering principles
• Live demonstrations of AI tools such as text and image generation models
• Hands-on exercises for prompt writing and optimization
• Scenario-based learning activities for real-world AI use cases
• Guided practice sessions with iterative prompt improvement
• Project-based learning for applied skill development
• Continuous engagement through exercises, discussions, and practical tasks
Course Modules
Module 1: Foundations 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
Module 2: 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
Module 3: 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
Module 4: Mastering 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
Module 5: 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
Module 6: 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
Module 7: 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 AI Regulations and Governance
• Regulatory Landscape 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
