AI+ Prompt Engineer Level 1™

Name: AI+ Prompt Engineer Level 1™
Price: 895.00 EUR
Availability: InStock

Master AI Prompts: Elevate Your Engineering Skills..

€895,00 excl. BTW

Beschrijving

Product specificaties

Agenda

Course Overview

Course Introduction Preview
Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering
1. 1.1 Introduction to Artificial Intelligence Preview
2. 1.2 History of AI Preview
3. 1.3 Machine Learning Basics Preview
4. 1.4 Deep Learning and Neural Networks
5. 1.5 Natural Language Processing (NLP)
6. 1.6 Prompt Engineering Fundamentals
  Module 2: Principles of Effective Prompting
  1. 2.1 Introduction to the Principles of Effective PromptingPreview
  2. 2.2 Giving DirectionsPreview
  3. 2.3 Formatting ResponsesPreview
  4. 2.4 Providing Examples
  5. 2.5 Evaluating Response Quality
  6. 2.6 Dividing Labor
  7. 2.7 Applying The Five Principles
  8. 2.8 Fixing Failing Prompts
    Module 3: Introduction to AI Tools and Models
    1. 3.1 Understanding AI Tools and Models Preview
    2. 3.2 Deep Dive into ChatGPT Preview
    3. 3.3 Exploring GPT-4 Preview
    4. 3.4 Revolutionizing Art with DALL-E 2
    5. 3.5 Introduction to Emerging Tools using GPT
    6. 3.6 Specialized AI Models
    7. 3.7 Advanced AI Models
    8. 3.8 Google AI Innovations
    9. 3.9 Comparative Analysis of AI Tools
    10. 3.10 Practical Application Scenarios
    11. 3.11 Harnessing AI’s Potential
      Module 4: Mastering Prompt Engineering Techniques
      1. 4.1 Zero-Shot Prompting
      2. 4.2 Few-Shot Prompting
      3. 4.3 Chain-of-Thought Prompting
      4. 4.4 Ensuring Self-Consistency in AI Responses
      5. 4.5 Generate Knowledge Prompting
      6. 4.6 Prompt Chaining
      7. 4.7 Tree of Thoughts: Exploring Multiple Solutions
      8. 4.8 Retrieval Augmented Generation
      9. 4.9 Graph Prompting and Advanced Data Interpretation
      10. 4.10 Application in Practice: Real-Life Scenarios
      11. 4.11 Practical Exercises
        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 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
        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
        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 in AI
        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
        Optional Module: AI Agents for Prompt Engineering
        1. What Are AI Agents
        2. Applications and Trends of AI Agents for Prompt Engineers
        3. How Does an AI Agent Work
        4. Core Characteristics of AI Agents
        5. Importance of AI Agents
        6. Types of AI Agents
        Tools you will explore
        LangChain
        OpenAI's GPT-4

Attribuut naam	Attribuut waarde
Lesmethode	Klassikaal (virtueel), Klassikaal (fysiek)

Artikelnummer voorraad referentie: AC-130

Klassikaal (fysiek)
Klassikaal (virtueel)

Datum en locatie	Aantal deelnemers
17 - 17 juni, 2026 - 's-Hertogenbosch
08 - 8 oktober, 2026 - 's-Hertogenbosch

Datum en locatie	Aantal deelnemers
10 - 10 juni, 2026 - Virtueel