AI+ Everyone Fundamentals™ eLearning Voeg toe aan favorieten

• Beginner-Friendly Course: Ideal starting point for those new to AI, covering core principles and practical insights
• Comprehensive Learning: Covers AI basics, real-world applications, generative AI, and ethical considerations
• Industry & Societal Impact: Gain insights into AI’s role in industries and its broader societal influence
• Actionable Guidance: Offers step-by-step resources to kickstart your AI journey and develop essential skills

Doelgroep
Entrepreneurs and Business Leaders: Gain insights into leveraging AI for strategic decision-making and business growth.

Marketing Professionals: Harness AI to optimize campaigns, understand customer behavior, and enhance personalization strategies.

Product Managers: Leverage AI to enhance product development, improve user experience, and create data-driven product strategies.

Consultants & Trainers: Gain expertise in AI to advise clients on technology adoption, process improvement, and digital transformation strategies.

Students & New Graduates: Gain cutting-edge AI skills to stand out in the evolving tech landscape and future-proof your career.

Doelstelling

• AI Fundamentals for All:Understand the core principles of AI, its technologies, and how they apply across industries to drive innovation and improve processes.
• Practical Knowledge:Gain hands-on experience through accessible, real-world applications, ensuring you can implement AI solutions effectively.
• Ethical and Responsible AI:Learn the ethical considerations and societal impacts of AI, ensuring that you can apply AI technologies responsibly and ethically.
• Ready for AI-Driven Success:Build a strong foundation in AI, preparing you to navigate and thrive in an AI-driven world with the skills and confidence to contribute meaningfully.

Programma
Course Overview

• Course Introduction Preview

Module 1: Introduction to AI and the Future of Work

• 1.1 Core AI Concepts Demystified
• 1.2 The AI Hierarchy: AI → Machine Learning → Deep Learning → Generative AI
• 1.3 Generative AI Fundamentals
• 1.4 The Evolution of AI Technologies
• 1.5 How AI Is Transforming Industries
• 1.6 The Future of Work and Human-AI Collaboration

Module 2: Generative AI Fundamentals

• 2.1 Introduction: What Do We Mean by “Generative AI”?
• 2.2 Understanding Large Language Models (LLMs)
• 2.3 How Generative AI Works
• 2.4 Multimodal Generation: Text, Image, Audio and Video
• 2.5 Popular Generative AI Platforms
• 2.6 Capabilities and Limitations of Generative AI

Module 3: Prompt Engineering Essentials

• 3.1 Fundamentals of Prompt Engineering
• 3.2 The Anatomy of an Effective Prompt
• 3.3 Core Prompting Techniques
• 3.4 Common Prompting Mistakes
• 3.5 Case Study: Enterprise Prompt Standardization

Module 4: AI for Workplace Productivity

• 4.1 AI for Email Writing
• 4.2 Meeting Summaries and Documentation
• 4.3 Report and Proposal Generation
• 4.4 Presentation Creation
• 4.5 Research and Knowledge Management
• 4.6 Personal Productivity Enhancement

Module 5: AI for Business and Decision-Making

• 5.1 AI in Marketing
• 5.2 AI in Sales and Customer Service
• 5.3 AI in HR and Recruitment
• 5.4 AI for Business Analysis
• 5.5 AI-Assisted Decision-Making
• 5.6 Data-Driven Insights

Module 6: AI Agents and Intelligent Automation

• 6.1 Introduction to AI Agents
• 6.2 AI Assistants vs AI Agents
• 6.3 Agentic Workflows
• 6.4 No-Code AI Automation Concepts
• 6.5 Personal and Business AI Agents
• 6.6 Future of Autonomous AI Systems

Module 7: Responsible AI, Ethics, Privacy, and Security

• 7.1 Responsible AI Principles
• 7.2 AI Bias and Fairness
• 7.3 Privacy and Data Protection
• 7.4 Security Risks in AI Usage
• 7.5 Intellectual Property Considerations
• 7.6 Human Oversight and Accountability

Module 8: AI Adoption Strategy and Capstone Project

• 8.1 Building an AI-First Mindset
• 8.2 The AI Adoption Framework
• 8.3 Personal AI Productivity Plan
• 8.4 Organizational AI Readiness
• 8.5 Emerging AI Trends to Watch
• 8.6 Continuous Learning Pathways

Optional Module: AI Agents for Everyone

• 1.1 What Are AI Agents?
• 1.2 Significance of AI Agents for Everyone
• 1.3 Applications and Trends of AI Agents for Everyone
• 1.4 How Does an AI Agent Work?
• 1.5 Core Characteristics of AI Agents
• 1.6 Importance of AI Agents
• 1.7 Types of AI Agents

Tools you will explore

• Runway ML
• SciPy
• AIVA
• Grammarly

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.

Studiewijze
De OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.

Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.