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AI+ Prompt Engineer™ Self-Paced Learning - LAN
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Introducción
Announcements
Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering
Introduction: Foundations of AI and Prompt Engineering
Brief History and Evolution of AI
The Renaissance: The Rise of Machine Learning
Breakthroughs: Deep Learning and Neural Networks
Introduction to machine learning and its relationship with AI
Basics of Deep Learning and How It Differs from Traditional Machine Learning
AI NLP Understanding
Prompt Engineering Fundamentals: Shaping AI Interactions
Principles of Prompt Engineering
Summary: Foundations of AI and Prompt Engineering
Module 1: E-Book
Quiz 1
Quiz 2
Module 2: Principles of Effective Prompting
Introduction: Principles of Effective Prompting
Overview of Prompting Importance
Principles of Effective Prompting
Enhancement through Well-Crafted Prompts
Definition of AI Prompts and Their Role in Human-AI Interaction
Principles of Effective Prompting
Techniques for Enhancing Specificity
Methods for Evaluation
Breaking Down Complex Tasks in AI Prompting
Sequential Prompt Structuring in AI Prompting
Summary: Principles of Effective Prompting
Module 2: E-Book
Quiz 1
Quiz 2
Module 3: Introduction to AI Tools and Models
Introduction: Introduction to AI Tools and Models
Introduction to AI Tools
Introduction to AI Models
Comparative Analysis of AI Technologies
Underlying Structure
Introduction to GPT-4
Using DALL-E 2 for Creative Projects
Comparison of Claude-Instant-100k to Other Text-Based AI Models using GPT
Introduction to StableDiffusionXL and Llama-2-70b-Groq
Overview of Advanced AI Models
Summary: Introduction to AI Tools and Models
Module 3: E-Book
Quiz 1
Quiz 2
Module 4: Mastering Prompt Engineering Techniques
Introduction: Mastering Prompt Engineering Techniques
Introduction to Zero-Shot Learning
Designing Zero-Shot Prompts: Unleashing AI's Full Potential
Understanding Few-Shot Learning
Understanding Chain-of-Thought Prompting
Understanding Self-Consistency
Applications of Prompt Chains
Overview of RAG
Navigating Complexity: The Role of Graphical Data in AI Prompting
Summary: Mastering Prompt Engineering Techniques
Module 4: E-Book
Quiz 1
Quiz 2
Module 5: Mastering Image Model Techniques
Introduction: Mastering Image Model Techniques
Overview and Evolution of Generative Image Models
Comparative Analysis of Leading Image Models: DALL-E vs. Stable Diffusion
Mastering Image Quality
Enhancing AI Imagery: Style & Quality Boosters
Mastering the Art of Utilizing Negative Prompts in AI Image Generation
Mastering Outpainting with AI Models: Extending the Boundaries of Creativity
Techniques for Generating Realistic Characters
Applying Image Model Techniques in Real-World Scenarios
Summary: Mastering Image Model Techniques
Module 5: E-Book
Quiz 1
Quiz 2
Module 6: Project-Based Learning Session
Introduction: Project-Based Learning Session
The Importance of Project-Based Learning in AI
Topic 6.3 introduction: Project Planning and Design in AI
Techniques for Creating Prompts
Strategies for Model Selection
Strategies for Successful Integration of Text and Image AI Models
Summary: Project-Based Learning Session
Module 6: E-Book
Quiz 1
Quiz 2
Module 7: Ethical Considerations and Future of AI
Introduction: Ethical Considerations and Future of AI
Understanding AI Ethics
Understanding the Origins of Bias in AI Systems and Its Impact
Data Collection and User Consent
Understanding the Environmental Impact of AI
Summary: Ethical Considerations and Future of AI
Module 7: E-Book
Quiz 1
Quiz 2
AI+ Prompt Engineer Final Quiz
AI+ Prompt Engineer Final Quiz
AICT Discussion Forum
Resources
AI+ Prompt Engineer Tools
AI+ Prompt Engineer Blueprint
AI+ Prompt Engineer Detailed Curriculum
AI+ Prompt Engineer Reference Videos and Links
Feedback Survey Form
Survey
System Compatibility test
System Compatibility Test
AI CERTs Exam Guidelines
AI+Prompt Examination
AI+ Prompt Examination
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