AI+ Prompt Engineer Level 1™
AI+ Prompt Engineer Level 1™
Master AI Prompts: Elevate Your Engineering Skills
- 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.
- Course Introduction Preview
- 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
- 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
- 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
- 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
- 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
- 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
LangChain
OpenAI's GPT-4
Passing Score : 70% (35/50)
Number of Multiple Choice Question : 50 MCQs, 90 Minutes
Number of exams required for certification : 1
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%
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.
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.
FAQ
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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