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- COURSE
AI+ Prompting Fundamentals
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The AI+ Prompting Fundamentals Certification Program introduces learners from diverse backgrounds and levels of expertise to the fundamental principles of artificial intelligence and prompts engineering. Covering the history, concepts, and applications of AI, machine learning, deep learning, neural networks, and natural language processing, the program also delves into best practices for designing effective prompts that harness the capabilities of AI models to their fullest potential. Through a combination of theoretical instruction and practical exercises, including project-based learning sessions, participants acquire the skills needed to create and utilize prompts across various domains and objectives.
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
Upcoming Class Dates and Times
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Course Outline and Details
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