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AI+ Prompt Engineer™
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Course Description
Course Description
Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering
Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering
1.1 Introduction to Artificial Intelligence
1.2 History of AI
1.3 Basics of Machine Learning
1.4 Deep Learning and Neural Networks
1.5 Natural Language Processing (NLP)
1.6 Prompt Engineering Fundamental
Quiz
Module 2: Principles of Effective Prompting
Module 2: Principles of Effective Prompting
2.1 Introduction to the Principles of Effective Prompting
2.2 Giving Direction
2.3 Formatting Response
2.4 Providing Example
2.5 Evaluating Quality
2.6 Dividing Labor
2.7 Applying The Five Principles
2.8 Fixing Failing Prompts
Quiz
Module 3: Introduction to AI Tools and Models
Module 3: Introduction to AI Tools and Models
3.1 AI Tools and Models Landscape
3.2 Deep Dive into ChatGPT
3.3 Exploring GPT-4
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
Quiz
Module 4: Mastering Prompt Engineering Techniques
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: Multiple Solutions Exploration
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
Quiz
Module 5: Mastering Image Model Techniques
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 AI 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
Quiz
Module 6: Project-Based Learning Session
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
Quiz
Module 7: Ethical Considerations and Future of AI
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
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
Quiz
AICT Discussion Forum
Resources
AI+ Prompt Engineering Guide
AI+ Prompt Engineer Blueprint
AI+ Prompt Engineer Detailed Curriculum
AI+ Prompt Engineer Tools
AI+ Prompt Engineer Reference Videos and Links
Feedback Survey Form
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System Compatibility test
System Compatibility Test
AI CERTs Exam Guidelines
AI+Prompt Examination
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Course info
AI+ Prompt Engineer™
Skill Level
:
Beginner
certificate name
:
AI+ Prompt Engineer™
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