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    • AI+ Prompting Fundamentals™

    • Foundational Knowledge: Covers generative AI, ML, NLP, and neural networks essentials
    • Hands-on Learning: Offers practical training in designing and optimizing prompts
    • Industry-Relevant Skills: Prepares learners to build effective AI solutions across sectors
    • Prompting Expertise: Certifies participants to craft impactful, domain-specific prompts
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    AI+ Prompting Fundamentals™
    Price: USD $190.00

    At a Glance: Course + Exam Overview

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    Program Name AI+ Prompting Fundamentals™
    Duration
    • Instructor-Led: 1 Day
    • Self-Paced: 8 hours of content
    Prerequisites
      • Understand AI basics and how AI is used – no technical skills required.
      • Willingness to think creatively to generate ideas and use AI tools effectively.
    Exam Format 50 questions, 70% passing, 90 Minutes

    What You'll Learn

    • Foundations of Artificial Intelligence (AI) and Prompt Engineering
      Introduction to AI, its history, machine learning basics, deep learning, neural networks, and NLP.
    • Principles of Effective Prompting
      Learn the essential principles of effective prompting, including giving directions, formatting responses.
    • Introduction to AI Tools and Models
      Explore AI tools like ChatGPT, GPT-4, DALL-E 2, and specialized models, as well as understanding their practical applications.
    • Mastering Prompt Engineering Techniques
      Focus on advanced prompting techniques such as zero-shot, few-shot, chain-of-thought, prompt chaining.
    • Mastering Image Model Techniques
      Study the use of image models, style modifiers, image generation techniques, and practical applications.
    • Project-Based Learning Session
      Engage in hands-on projects to apply AI concepts, select themes, design AI projects, integrate text and image models.
    • Ethical Considerations and Future of AI
      Understand AI ethics, bias and fairness in models, privacy concerns, data security, transparency in AI.

    Certification Modules

    Course Overview

    1. Course Introduction Preview

    Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering

    1. 1.1 Introduction to Artificial Intelligence Preview
    2. 1.2 History of AI Preview
    3. 1.3 Machine Learning Basics Preview
    4. 1.4 Deep Learning and Neural Networks
    5. 1.5 Natural Language Processing (NLP)
    6. 1.6 Prompt Engineering Fundamentals

    Module 2: Principles of Effective Prompting

    1. 2.1 Introduction to the Principles of Effective PromptingPreview
    2. 2.2 Giving DirectionsPreview
    3. 2.3 Formatting ResponsesPreview
    4. 2.4 Providing Examples
    5. 2.5 Evaluating Response Quality
    6. 2.6 Dividing Labor
    7. 2.7 Applying The Five Principles
    8. 2.8 Fixing Failing Prompts

    Module 3: Introduction to AI Tools and Models

    1. 3.1 Understanding AI Tools and Models Preview
    2. 3.2 Deep Dive into ChatGPT Preview
    3. 3.3 Exploring GPT-4 Preview
    4. 3.4 Revolutionizing Art with DALL-E 2
    5. 3.5 Introduction to Emerging Tools using GPT
    6. 3.6 Specialized AI Models
    7. 3.7 Advanced AI Models
    8. 3.8 Google AI Innovations
    9. 3.9 Comparative Analysis of AI Tools
    10. 3.10 Practical Application Scenarios
    11. 3.11 Harnessing AI’s Potential

    Module 4: Mastering Prompt Engineering Techniques

    1. 4.1 Zero-Shot Prompting
    2. 4.2 Few-Shot Prompting
    3. 4.3 Chain-of-Thought Prompting
    4. 4.4 Ensuring Self-Consistency in AI Responses
    5. 4.5 Generate Knowledge Prompting
    6. 4.6 Prompt Chaining
    7. 4.7 Tree of Thoughts: Exploring Multiple Solutions
    8. 4.8 Retrieval Augmented Generation
    9. 4.9 Graph Prompting and Advanced Data Interpretation
    10. 4.10 Application in Practice: Real-Life Scenarios
    11. 4.11 Practical Exercises

    Module 5: Mastering Image Model Techniques

    1. 5.1 Introduction to Image Models
    2. 5.2 Understanding Image Generation
    3. 5.3 Style Modifiers and Quality Boosters in Image Generation
    4. 5.4 Advanced Prompt Engineering in AI Image Generation
    5. 5.5 Prompt Rewriting for Image Models
    6. 5.6 Image Modification Techniques: Inpainting and Outpainting
    7. 5.7 Realistic Image Generation
    8. 5.8 Realistic Models and Consistent Characters
    9. 5.9 Practical Application of Image Model Techniques

    Module 6: Project-Based Learning Session

    1. 6.1 Introduction to Project-Based Learning in AI
    2. 6.2 Selecting a Project Theme
    3. 6.3 Project Planning and Design in AI
    4. 6.4 AI Implementation and Prompt Engineering
    5. 6.5 Integrating Text and Image Models
    6. 6.6 Evaluation and Integration in AI Projects
    7. 6.7 Engaging and Effective Project Presentation
    8. 6.8 Guided Project Example

    Module 7: Ethical Considerations and Future of AI

    1. 7.1 Introduction to AI Ethics
    2. 7.2 Bias and Fairness in AI Models
    3. 7.3 Privacy and Data Security in AI
    4. 7.4 The Imperative for Transparency in AI Operations
    5. 7.5 Sustainable AI Development: An Imperative for the Future
    6. 7.6 Ethical Scenario Analysis in AI: Navigating the Complex Landscape
    7. 7.7 Navigating the Complex Landscape of AI Regulations and Governance
    8. 7.8 Navigating the Regulatory Landscape: A Guide for AI Practitioners
    9. 7.9 Ethical Frameworks and Guidelines in AI Development

    Optional Module: AI Agents for Prompt Engineering

    1. 1. What Are AI Agents
    2. 2. Applications and Trends of AI Agents for Prompt Engineers
    3. 3. How Does an AI Agent Work
    4. 4. Core Characteristics of AI Agents
    5. 5. Importance of AI Agents
    6. 6. Types of AI Agents

    Finish the course and get certified

    Certificate 1

    Industry Opportunities

    • Prompt Engineer
      Prompt Engineer
      Specializes in designing and optimizing AI prompts to improve model performance.
    • Interaction Designer
      Interaction Designer
      Focuses on designing the user experience (UX) by creating intuitive interactions between users and AI systems.
    • User Experience Engineer
      User Experience Engineer
      UX Engineers specialize in creating AI systems that prioritize user experience.
    • Communication Developer
      Communication Developer
      Communication Developers focus on building AI-driven systems that support communication tasks, such as chatbots or virtual assistants.

    Frequently Asked Questions

    The course combines theoretical instruction with practical exercises and project-based learning sessions. This structure helps participants gain both conceptual knowledge and hands-on experience.

    This certification is suitable for individuals from diverse backgrounds and levels of expertise who want to gain a comprehensive understanding of AI and prompt engineering. It is ideal for AI developers, data scientists, educators, and anyone interested in harnessing the full potential of AI models through effective prompting.

    The certification covers principles of effective prompting, such as giving clear directions, formatting responses, providing examples, evaluating response quality, and fixing failing prompts. Participants will learn to apply these principles through practical exercises and real-life scenarios.

    Completing the certification will equip you with essential skills in industries like AI content generation, customer support automation, and enterprise AI optimization.

    You will apply AI and prompt engineering skills to various projects, improving your problem-solving, communication, and collaboration abilities.

    Prerequisites

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    Exam Details

    Duration

    90 Minutes

    Passing Score

    70%

    Format

    50 multiple-choice/multiple-response questions

    Exam Blueprint

    Foundations of Artificial Intelligence (AI) and Prompt Engineering 10%
    Principles of Effective Prompting 15%
    Introduction to AI Tools and Models 15%
    Mastering Prompt Engineering Techniques 20%
    Mastering Image Model Techniques 15%
    Project-Based Learning Session 12%
    Ethical Considerations and Future of AI 12%
    Course Price: USD $190.00
    Self-Paced Online
    • ~6 hours of on-demand video lessons, e-book, and podcasts
    • Learn anywhere, anytime, with modular quizzes to track progress
    Purchase Self-Paced Course
    Instructor-Led (Live Virtual/Classroom)
    • 1 day of intensive training with live demos
    • Real-time Q&A and peer collaboration
    • Led by AI Certified Trainers and delivered through Authorized Training Partners

    Core AI Tools Covered

    LangChain

    LangChain

    OpenAI's GPT-4

    OpenAI's GPT-4