AI+ Prompt Engineering Level 1
The AI+ Prompt Engineer: Level 1 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.
All students receive:
- One-Year Subscription (with all updates)
- High-Quality E-Book
- Al Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Exam Study Guide
- Proctored Exam with one Free Retake
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.
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Prerequisites:
- 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.
Target Audience:
- AI Engineer
- IT Professional
Course Objectives:
- 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
Course Outline:
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
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