Visão Geral

Curso AI+ Prompt Engineer™: Level 1: O  curso AI+ Prompt Engineer™: Nível 1 oferece uma base abrangente em inteligência artificial e técnicas de engenharia de prompt. Os participantes explorarão os princípios de prompting eficaz, se envolverão com ferramentas avançadas de IA e dominarão várias estratégias de prompting para interação ideal de IA. O programa também inclui aprendizado baseado em projetos para aplicar conceitos em cenários do mundo real, ao mesmo tempo em que aborda considerações éticas no desenvolvimento de IA. Este AI+ Prompt Engineer™: Nível 1  prepara indivíduos para aproveitar o potencial da IA ​​por meio de metodologias inovadoras de prompting. 

Objetivo

Após realizar este Curso AI+ Prompt Engineer™: Level 1 você será capaz de:

• Entenda os fundamentos e a história da IA
• Domine a arte da engenharia rápida
• Explore ferramentas e modelos de IA
• Aplicar Técnicas de Engenharia Rápida
• Utilizar técnicas de modelo de imagem
• Participe da aprendizagem baseada em projetos
• Navegue pelas considerações éticas em IA
• Prepare-se para o futuro da IA

Publico Alvo

• Engenheiro de IA
• Profissional de TI

Pre-Requisitos

• Entender os conceitos básicos e as aplicações práticas da IA ​​sem precisar de conhecimento técnico.
• Estar aberto a abordagens criativas para gerar novas ideias e usar ferramentas de IA para atingir objetivos.

Materiais

Conteúdo Programatico

Foundations of Artificial Intelligence (AI) and Prompt Engineering

1. Introduction to Artificial Intelligence
2. History of AI
3. Machine Learning Basics
4. Deep Learning and Neural Networks
5. Natural Language Processing (NLP)
6. Prompt Engineering Fundamentals

Principles of Effective Prompting

1. Introduction to the Principles of Effective Prompting
2. Giving Directions
3. Formatting Responses
4. Providing Examples
5. Evaluating Response Quality
6. Dividing Labor
7. Applying The Five Principles
8. Fixing Failing Prompts

Introduction to AI Tools and Models

1. Understanding AI Tools and Models
2. Deep Dive into ChatGPT
3. Exploring GPT-4
4. Revolutionizing Art with DALL-E 2
5. Introduction to Emerging Tools using GPT
6. Specialized AI Models
7. Advanced AI Models
8. Google AI Innovations
9. Comparative Analysis of AI Tools
10. Practical Application Scenarios
11. Harnessing AI’s Potential

Prompt Engineering Techniques

1. Zero-Shot Prompting
2. Few-Shot Prompting
3. Chain-of-Thought Prompting
4. Ensuring Self-Consistency in AI Responses
5. Generate Knowledge Prompting
6. Prompt Chaining
7. Tree of Thoughts: Exploring Multiple Solutions
8. Retrieval Augmented Generation
9. Graph Prompting and Advanced Data Interpretation
10. Application in Practice: Real-Life Scenarios
11. Practical Exercises

Mastering Image Model Techniques

1. Introduction to Image Models
2. Understanding Image Generation
3. Style Modifiers and Quality Boosters in Image Generation
4. Advanced Prompt Engineering in AI Image Generation
5. Prompt Rewriting for Image Models
6. Image Modification Techniques: Inpainting and Outpainting
7. Realistic Image Generation
8. Realistic Models and Consistent Characters
9. Practical Application of Image Model Techniques

Project-Based Learning Session

1. Introduction to Project-Based Learning in AI
2. Selecting a Project Theme
3. Project Planning and Design in AI
4. AI Implementation and Prompt Engineering
5. Integrating Text and Image Models
6. Evaluation and Integration in AI Projects
7. Engaging and Effective Project Presentation
8. Guided Project Example

Ethical Considerations and Future of AI

1. Introduction to AI Ethics
2. Bias and Fairness in AI Models
3. Privacy and Data Security in AI
4. The Imperative for Transparency in AI Operations
5. Sustainable AI Development: An Imperative for the Future
6. Ethical Scenario Analysis in AI: Navigating the Complex Landscape
7. Navigating the Complex Landscape of AI Regulations and Governance
8. Navigating the Regulatory Landscape: A Guide for AI Practitioners
9. Ethical Frameworks and Guidelines in AI Development