AI+ Prompt Engineer Level 1™

Master AI Prompts: Elevate Your Engineering Skills

Certificate Code: AC-130

Duration: 8 hours (1 Day)

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Course Metrics Prerequisites Curriculum Outcomes Opportunities Salary Comparison FAQs Enroll

Modules

8 hours (1 Day)

Duration

50 MCQs, 90 Minutes

Examination

70% (35/50)

Passing Score

About This Certification

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

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.

Tools Covered

LangChain

OpenAI's GPT-4

Course Curriculum

9 Modules 8 hours (1 Day)

Course Overview

Course Introduction Preview

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

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

Module 2: Principles of Effective Prompting

2.1 Introduction to the Principles of Effective PromptingPreview
2.2 Giving DirectionsPreview
2.3 Formatting ResponsesPreview
2.4 Providing Examples
2.5 Evaluating Response Quality
2.6 Dividing Labor
2.7 Applying The Five Principles
2.8 Fixing Failing Prompts

Module 3: Introduction to AI Tools and Models

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

Module 4: Mastering Prompt Engineering Techniques

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

Module 5: Mastering Image Model Techniques

5.1 Introduction to Image Models
5.2 Understanding Image Generation
5.3 Style Modifiers and Quality Boosters in Image Generation
5.4 Advanced Prompt Engineering in AI Image Generation
5.5 Prompt Rewriting for Image Models
5.6 Image Modification Techniques: Inpainting and Outpainting
5.7 Realistic Image Generation
5.8 Realistic Models and Consistent Characters
5.9 Practical Application of Image Model Techniques

Module 6: Project-Based Learning Session

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

Module 7: Ethical Considerations and Future of AI

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

Optional Module: AI Agents for Prompt Engineering

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

Exam Blueprint

Foundations of Artificial Intelligence (AI) and Prompt Engineering – 11%

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%

Learning Outcomes

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.

Career Opportunities

Prompt Engineer

Specializes in designing and optimizing AI prompts to improve model performance.

Interaction Designer

Focuses on designing the user experience (UX) by creating intuitive interactions between users and AI systems.

User Experience Engineer

UX Engineers specialize in creating AI systems that prioritize user experience.

Communication Developer

Communication Developers focus on building AI-driven systems that support communication tasks, such as chatbots or virtual assistants.

Salary Potential

Without AI Skills

$85000

With AI Skills

$105000

23.53% Higher Earning Potential

Frequently Asked Questions

How is the course structured?

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.

Who should take the AI+ Prompt Engineer Level 1™ Certification?

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.

How does the certification address 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.

How will this certification benefit my career?

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

What kind of practical exercises are included in the course?

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

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