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AI+ Executive Fundamentals™
Nieuwegein
do 3 sep. 2026
en 9 andere data
Formerly known as AI+ Executive
Pioneering AI: Leading with Insight and Impact
* Strategic Business Focus: Tailored for leaders to drive AI-led business transformation
* Decision-Making Power: Equips professionals with hands-on insights for informed AI adoption
* End-to-End Understanding: Covers frameworks from AI basics to real-world implementation
* Leadership-Ready Skills: Empowers executives to confidently integrate AI within operations
Certification Overview
* Course Introduction Preview Module 1: Understanding Artificial Intelligence (AI)
* 1.1 Introduction to AI in Business Preview
* 1.2 Basic Concepts of AI Preview
* 1.3 History and Evolution of AI in Business
* 1.4 Importance of AI in Modern Business Practices Module 2: AI Technologies and Business Implications
* 2.1 Big Data Concepts Preview
* 2.2 Machine Learning Preview
* 2.3 Natural Language Processing (NLP) and Chatbots
* 2.4 Robotics and Automation
* 2.5 AI Tools Demonstration Module 3: AI Strategy for Executives
* 3.1 Strategic AI Development Preview
* 3.2 AI and Business Alignment
* 3.3 Measuring AI ROI Module 4: Ethical, Legal, and Societal Considerations
* 4.1 Ethics in AI
* 4.2 AI and Privacy Laws
* 4.3 AI Governance Module 5: Managing AI Projects
* 5.1 AI Project Management
* 5.2 Leading AI Teams
* 5.3 Case Study Analysis Module 6: AI and the Future of Work
* 6.1 Impact on the Workforce
* 6.2 Skills for the AI Era
* 6.3 Future Trends in AI Module 7: Department-Specific AI Applications
* 7.1 Finance and Accounting
* 7.2 Marketing and Sales
* 7.3 Human Resources Module 8: Interactive Workshop
* 8.1 AI Integration Planning
* 8.2 Workshop Activities Optional Module: AI Agents for Business Strategy
* 1. Understanding AI Agents
* 2. Case Studies
* 3. Hands-On Practice with AI Agents Tools you will explore
* Copilot
* UiPath
* Pega Infinity
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€895
Klassikaal
max 12
1 dag
AI+ Executive Fundamentals™ eLearning
Formerly known as AI+ Executive
Pioneering AI: Leading with Insight and Impact
* Strategic Business Focus: Tailored for leaders to drive AI-led business transformation
* Decision-Making Power: Equips professionals with hands-on insights for informed AI adoption
* End-to-End Understanding: Covers frameworks from AI basics to real-world implementation
* Leadership-Ready Skills: Empowers executives to confidently integrate AI within operations
Certification Overview
* Course Introduction Preview Module 1: Understanding Artificial Intelligence (AI)
* 1.1 Introduction to AI in Business Preview
* 1.2 Basic Concepts of AI Preview
* 1.3 History and Evolution of AI in Business
* 1.4 Importance of AI in Modern Business Practices Module 2: AI Technologies and Business Implications
* 2.1 Big Data Concepts Preview
* 2.2 Machine Learning Preview
* 2.3 Natural Language Processing (NLP) and Chatbots
* 2.4 Robotics and Automation
* 2.5 AI Tools Demonstration Module 3: AI Strategy for Executives
* 3.1 Strategic AI Development Preview
* 3.2 AI and Business Alignment
* 3.3 Measuring AI ROI Module 4: Ethical, Legal, and Societal Considerations
* 4.1 Ethics in AI
* 4.2 AI and Privacy Laws
* 4.3 AI Governance Module 5: Managing AI Projects
* 5.1 AI Project Management
* 5.2 Leading AI Teams
* 5.3 Case Study Analysis Module 6: AI and the Future of Work
* 6.1 Impact on the Workforce
* 6.2 Skills for the AI Era
* 6.3 Future Trends in AI Module 7: Department-Specific AI Applications
* 7.1 Finance and Accounting
* 7.2 Marketing and Sales
* 7.3 Human Resources Module 8: Interactive Workshop
* 8.1 AI Integration Planning
* 8.2 Workshop Activities Optional Module: AI Agents for Business Strategy
* 1. Understanding AI Agents
* 2. Case Studies
* 3. Hands-On Practice with AI Agents Tools you will explore
* Copilot
* UiPath
* Pega Infinity
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€200
E-Learning
max 999
1 dag
AI+ Ethics Fundamentals™
's-Hertogenbosch
wo 4 nov. 2026
Formerly known as AI+ Ethics™
Navigate the Intersection of AI and Ethics in Business Landscape
* Responsible AI Focus: Master ethical AI use aligned with business and societal values
* Risk Mitigation: Learn to manage compliance, transparency, and AI decision-making
* Strategic Guidance: Integrate ethical practices into AI adoption and leadership
* Reputation Builder: Build organisational trust and credibility in AI deployments
Course Overview
* Course Introduction Preview Module 1: Overview of AI Ethics & Societal Impact
* 1.1 Introduction to Ethical Considerations in AI Preview
* 1.2 Understanding The Societal Impact of AI Technologies Preview
* 1.3 Strategies for Conducting Social and Ethical Impact Assessments Module 2: Bias and Fairness in AI
* 2.1 Exploration of Biases in Data and Algorithms Preview
* 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems Module 3: Transparency and Explainable AI
* 3.1 Importance of Transparent AI Systems Preview
* 3.2 Techniques for Explaining AI Models to Diverse Stakeholders Preview
* 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations Module 4: Privacy and Security Issues in AI
* Study frameworks for holding organizations accountable for the ethical use of AI.
* Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm. Module 5: Accountability and Responsibility
* 5.1 Concepts of Accountability in AI Development and Deployment
* 5.2 Responsibilities of AI Practitioners and Organizations Module 6: Legal and Regulatory Issues
* 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
* 6.2 Understanding the Global Regulatory Issues for AI Technologies
* 6.3 Case Studies: GDPR Compliance
* 6.4 Legal Compliance of AI Tools Module 7: Ethical Decision-Making Frameworks
* 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
* 7.2 Case Studies and Applications of Ethical Decision-Making
* 7.3 Use of Simulation Platforms in Ethical Decision-Making Module 8: AI Governance & Best Practices
* 8.1 Principles and Functions of International AI Governance
* 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
* 8.3 Case Studies on AI Governance Module 9: Global AI Ethics Standards
* 9.1 Explore Standards: IEEE’s Ethically Aligned Design
* 9.2 Comparative Case Studies on Standard Implementations
* 9.3 Tools for Evaluating AI Systems Against Global Standards Optional Module: AI Agents for Ethics and Its Implications
* 1. Understanding AI Agents
* 2. Case Studies
* 3. Hands-On Practice with AI Agents Tools you will explore
* AI4People (Atomium - European Institute for Science, Media, and Democracy)
* IBM - AI Fairness 360
* IBM - AI Explainability 360
* European Commission High-Level Expert Group on AI
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€895
Klassikaal
max 12
1 dag
AI+ Ethics Fundamentals™ eLearning
Formerly known as AI+ Ethics™
Navigate the Intersection of AI and Ethics in Business Landscape
* Responsible AI Focus: Master ethical AI use aligned with business and societal values
* Risk Mitigation: Learn to manage compliance, transparency, and AI decision-making
* Strategic Guidance: Integrate ethical practices into AI adoption and leadership
* Reputation Builder: Build organisational trust and credibility in AI deployments
Course Overview
* Course Introduction Preview Module 1: Overview of AI Ethics & Societal Impact
* 1.1 Introduction to Ethical Considerations in AI Preview
* 1.2 Understanding The Societal Impact of AI Technologies Preview
* 1.3 Strategies for Conducting Social and Ethical Impact Assessments Module 2: Bias and Fairness in AI
* 2.1 Exploration of Biases in Data and Algorithms Preview
* 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems Module 3: Transparency and Explainable AI
* 3.1 Importance of Transparent AI Systems Preview
* 3.2 Techniques for Explaining AI Models to Diverse Stakeholders Preview
* 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations Module 4: Privacy and Security Issues in AI
* Study frameworks for holding organizations accountable for the ethical use of AI.
* Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm. Module 5: Accountability and Responsibility
* 5.1 Concepts of Accountability in AI Development and Deployment
* 5.2 Responsibilities of AI Practitioners and Organizations Module 6: Legal and Regulatory Issues
* 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
* 6.2 Understanding the Global Regulatory Issues for AI Technologies
* 6.3 Case Studies: GDPR Compliance
* 6.4 Legal Compliance of AI Tools Module 7: Ethical Decision-Making Frameworks
* 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
* 7.2 Case Studies and Applications of Ethical Decision-Making
* 7.3 Use of Simulation Platforms in Ethical Decision-Making Module 8: AI Governance & Best Practices
* 8.1 Principles and Functions of International AI Governance
* 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
* 8.3 Case Studies on AI Governance Module 9: Global AI Ethics Standards
* 9.1 Explore Standards: IEEE’s Ethically Aligned Design
* 9.2 Comparative Case Studies on Standard Implementations
* 9.3 Tools for Evaluating AI Systems Against Global Standards Optional Module: AI Agents for Ethics and Its Implications
* 1. Understanding AI Agents
* 2. Case Studies
* 3. Hands-On Practice with AI Agents Tools you will explore
* AI4People (Atomium - European Institute for Science, Media, and Democracy)
* IBM - AI Fairness 360
* IBM - AI Explainability 360
* European Commission High-Level Expert Group on AI
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€200
E-Learning
max 999
1 dag
AI+ Prompting Fundamentals™
's-Hertogenbosch
do 8 okt. 2026
Formerly known as AI+ Prompt Engineer Level 1™
Master AI Prompts: Elevate Your Engineering Skills
* Foundational Knowledge: Covers generative AI, ML, NLP, and neural networks essentials
* Hands-on Learning: Offers practical training in designing and optimizing prompts
* Industry-Relevant Skills: Prepares learners to build effective AI solutions across sectors
* Prompting Expertise: Certifies participants to craft impactful, domain-specific prompts
Course Overview
* Course Introduction Preview Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering
* 1.1 Introduction to Artificial Intelligence Preview
* 1.2 History of AI Preview
* 1.3 Machine Learning Basics Preview
* 1.4 Deep Learning and Neural Networks
* 1.5 Natural Language Processing (NLP)
* 1.6 Prompt Engineering Fundamentals Module 2: Principles of Effective Prompting
* 2.1 Introduction to the Principles of Effective PromptingPreview
* 2.2 Giving DirectionsPreview
* 2.3 Formatting ResponsesPreview
* 2.4 Providing Examples
* 2.5 Evaluating Response Quality
* 2.6 Dividing Labor
* 2.7 Applying The Five Principles
* 2.8 Fixing Failing Prompts Module 3: Introduction to AI Tools and Models
* 3.1 Understanding AI Tools and Models Preview
* 3.2 Deep Dive into ChatGPT Preview
* 3.3 Exploring GPT Preview
* 3.4 Revolutionizing Art with DALLE
* 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 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: Exploring Multiple Solutions
* 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 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
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€895
Klassikaal
max 12
1 dag
AI+ Prompting Fundamentals™ eLearning
Formerly known as AI+ Prompt Engineer Level 1™
Master AI Prompts: Elevate Your Engineering Skills
* Foundational Knowledge: Covers generative AI, ML, NLP, and neural networks essentials
* Hands-on Learning: Offers practical training in designing and optimizing prompts
* Industry-Relevant Skills: Prepares learners to build effective AI solutions across sectors
* Prompting Expertise: Certifies participants to craft impactful, domain-specific prompts
Course Overview
* Course Introduction Preview Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering
* 1.1 Introduction to Artificial Intelligence Preview
* 1.2 History of AI Preview
* 1.3 Machine Learning Basics Preview
* 1.4 Deep Learning and Neural Networks
* 1.5 Natural Language Processing (NLP)
* 1.6 Prompt Engineering Fundamentals Module 2: Principles of Effective Prompting
* 2.1 Introduction to the Principles of Effective PromptingPreview
* 2.2 Giving DirectionsPreview
* 2.3 Formatting ResponsesPreview
* 2.4 Providing Examples
* 2.5 Evaluating Response Quality
* 2.6 Dividing Labor
* 2.7 Applying The Five Principles
* 2.8 Fixing Failing Prompts Module 3: Introduction to AI Tools and Models
* 3.1 Understanding AI Tools and Models Preview
* 3.2 Deep Dive into ChatGPT Preview
* 3.3 Exploring GPT Preview
* 3.4 Revolutionizing Art with DALLE
* 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 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: Exploring Multiple Solutions
* 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 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
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€200
E-Learning
max 999
1 dag
AI+ Prompting Practitioner™
's-Hertogenbosch
ma 19 okt. 2026
Formerly known as AI+ Prompt Engineer Level 2™
Mastering Advanced Techniques for Effective AI Prompting
* Prompt Mastery: Learn to design, refine, and optimise prompts across AI applications
* Hands-On Learning: Gain practical experience with advanced tools for prompt integration
* Real-World Focus: Solve real-world challenges using AI-driven prompt solutions
* Advanced Curriculum: Emphasises experimentation, project execution, and innovation
* Leadership-Oriented: Ideal for professionals bridging the gap between AI innovation and application.
Module 1: Introduction to Prompt Engineering for Developers
* 1.1 Overview of Prompt Engineering
* 1.2 Basics of API Interaction
* 1.3 Understanding Prompt Structures
* 1.4 Case Studies and Best Practices
* 1.5 Hands-on Exercise Module 2: Advanced Prompt Design and Engineering
* 2.1 Designing Advanced Prompt Techniques
* 2.2 Designing Multi-Turn Interactions
* 2.3 Contextual and Conditional Prompting
* 2.4 Crafting Domain-Specific Prompts
* 2.5 Contextual and Stateful Prompt Engineering
* 2.6 Meta-Prompting and Autonomous Refinement
* 2.7 Hands-on Exercise Module 3: Experimentation and Optimization
* 3.1 Automated Prompt Optimization Tools
* 3.2 A/B Testing and Evaluation
* 3.3 Reinforcement Learning for Prompt Engineering Module 4: Designing Advanced Strategies for Prompt Engineering
* 4.1 Contextual and Role-Based Prompting
* 4.2 Adaptive and Multimodal Prompting Module 5: Integration with Development Tools
* 5.1 Integrating with Popular Development Tools for Prompt
Engineering
* 5.2 Code Repositories and Templates for Prompt
Engineering
* 5.3 Developer Communities and Forums for Prompt
Engineering
* 5.4 Version Control in Prompt Engineering Projects Module 6: Applications of Prompt Engineering in Various Domains
* 6.1 Natural Language Processing (NLP) Applications using
Prompt Engineering
* 6.2 Business Applications using Prompt Engineering
* 6.3 Creative Applications using Prompt Engineering Module 7: Project-Based Learning: Real-World AI Projects Using Prompt Engineering
* 7.1 Project 1: AI-Driven Customer Support
* 7.2 Project 2: Personalized Content Generation
* 7.3 Project 3: AI in Data Analysis Optional Module: AI Agents for Prompt Engineering
* 1. What Are AI Agents
* 2. Applications and Trends of AI Agents for Prompt Engineers
* 3. Importance of AI Agents
* 4. Types of AI Agents Tools you will explore
* ChatGPT
* LangChain
* BetterPrompt
* GitHub Copilot
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€3.450
Klassikaal
max 12
5 dagen
AI+ Prompting Practitioner™ eLearning
Formerly known as AI+ Prompt Engineer Level 2™
Mastering Advanced Techniques for Effective AI Prompting
* Prompt Mastery: Learn to design, refine, and optimise prompts across AI applications
* Hands-On Learning: Gain practical experience with advanced tools for prompt integration
* Real-World Focus: Solve real-world challenges using AI-driven prompt solutions
* Advanced Curriculum: Emphasises experimentation, project execution, and innovation
* Leadership-Oriented: Ideal for professionals bridging the gap between AI innovation and application.
Module 1: Introduction to Prompt Engineering for Developers
* 1.1 Overview of Prompt Engineering
* 1.2 Basics of API Interaction
* 1.3 Understanding Prompt Structures
* 1.4 Case Studies and Best Practices
* 1.5 Hands-on Exercise Module 2: Advanced Prompt Design and Engineering
* 2.1 Designing Advanced Prompt Techniques
* 2.2 Designing Multi-Turn Interactions
* 2.3 Contextual and Conditional Prompting
* 2.4 Crafting Domain-Specific Prompts
* 2.5 Contextual and Stateful Prompt Engineering
* 2.6 Meta-Prompting and Autonomous Refinement
* 2.7 Hands-on Exercise Module 3: Experimentation and Optimization
* 3.1 Automated Prompt Optimization Tools
* 3.2 A/B Testing and Evaluation
* 3.3 Reinforcement Learning for Prompt Engineering Module 4: Designing Advanced Strategies for Prompt Engineering
* 4.1 Contextual and Role-Based Prompting
* 4.2 Adaptive and Multimodal Prompting Module 5: Integration with Development Tools
* 5.1 Integrating with Popular Development Tools for Prompt
Engineering
* 5.2 Code Repositories and Templates for Prompt
Engineering
* 5.3 Developer Communities and Forums for Prompt
Engineering
* 5.4 Version Control in Prompt Engineering Projects Module 6: Applications of Prompt Engineering in Various Domains
* 6.1 Natural Language Processing (NLP) Applications using
Prompt Engineering
* 6.2 Business Applications using Prompt Engineering
* 6.3 Creative Applications using Prompt Engineering Module 7: Project-Based Learning: Real-World AI Projects Using Prompt Engineering
* 7.1 Project 1: AI-Driven Customer Support
* 7.2 Project 2: Personalized Content Generation
* 7.3 Project 3: AI in Data Analysis Optional Module: AI Agents for Prompt Engineering
* 1. What Are AI Agents
* 2. Applications and Trends of AI Agents for Prompt Engineers
* 3. Importance of AI Agents
* 4. Types of AI Agents Tools you will explore
* ChatGPT
* LangChain
* BetterPrompt
* GitHub Copilot
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badge
€510
E-Learning
max 999
5 dagen
AI+ Everyone Fundamentals™
Nieuwegein
do 10 sep. 2026
en 9 andere data
Geef mensen meer mogelijkheden met AI: toegankelijk, intuïtief, impactvol
* Beginnervriendelijke cursus: Ideaal startpunt voor wie nieuw is bij AI, met kernprincipes en praktische inzichten
* Uitgebreide leerervaring: AI-basisprincipes, toepassingen uit de echte wereld, generatieve AI en ethische overwegingen
* Industriële en maatschappelijke impact: Inzicht krijgen in de rol van AI in sectoren en de bredere maatschappelijke invloed ervan
* Praktische richtlijnen: Biedt stapsgewijze hulpmiddelen om je AI-reis een vliegende start te geven en essentiële vaardigheden te ontwikkelen
Examen: 50 vragen, 70% slaagkans, 90 minuten, online toezichtsexamen
Instructeurgestuurde cursus of cursus op eigen tempo + officieel examen + digitale badge
€895
Klassikaal
max 12
1 dag
AI+ Everyone Fundamentals™
Geef mensen meer mogelijkheden met AI: toegankelijk, intuïtief, impactvol
* Beginnervriendelijke cursus: Ideaal startpunt voor wie nieuw is bij AI, met kernprincipes en praktische inzichten
* Uitgebreide leerervaring: AI-basisprincipes, toepassingen uit de echte wereld, generatieve AI en ethische overwegingen
* Industriële en maatschappelijke impact: Inzicht krijgen in de rol van AI in sectoren en de bredere maatschappelijke invloed ervan
* Praktische richtlijnen: Biedt stapsgewijze hulpmiddelen om je AI-reis een vliegende start te geven en essentiële vaardigheden te ontwikkelen
Examen: 50 vragen, 70% slaagkans, 90 minuten, online toezichtsexamen
Instructeurgestuurde cursus of cursus op eigen tempo + officieel examen + digitale badge
€200
E-Learning
max 999
1 dag