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AI+ Human Resources Practitioner™
Formerly known as AI+ Human Resources™
Building Tomorrow's Workforce Today with AI-Driven Solutions
AI in Workforce: Learn to integrate AI for smarter recruitment and performance systems
Data-Driven HR: Gain insights into talent acquisition and evaluation using ML
Ethical Application: Understand responsible AI practices in people management
Future-Ready Skills: Prepare to handle evolving HR dynamics with efficiency and equity
HR Professionals: Enhance your HR processes by integrating AI tools that improve recruitment, employee engagement, and workforce management.
Talent Acquisition Specialists: Leverage AI to find, assess, and engage candidates more effectively, ensuring the best talent for your organization.
People Analytics Experts: Apply AI-driven analytics to enhance decision-making in HR, from performance reviews to predictive workforce trends.
Business Leaders: Learn to implement AI strategies that streamline HR operations and align talent management with business objectives.
Students & New Graduates: Build a competitive resume by mastering AI-driven HR solutions and preparing for a future in HR tech.
AI-Driven Recruitment Strategies:Learn to leverage AI for data-driven recruitment, improving talent acquisition processes and decision-making.
AI-Enhanced Performance Management:Gain skills in using AI and machine learning to evaluate and optimize employee performance effectively.
Ethical AI in HR:Understand and implement ethical guidelines for AI usage in HR, ensuring fairness and transparency in decisions.
Competitive Edge in HR:Stand out in the HR field by mastering AI integration, positioning yourself as a leader in the AI-driven HR era.
Certification Overview
Course Introduction Preview
Module 1: Foundations of Artificial Intelligence (AI) in HR
1.1 Introduction to AI Technologies
1.2 AI’s Role in HR Evolution
1.3 AI Applications in HR
1.4 Preparing HR for AI Integration
Module 2: AI-Enhanced Recruitment and Onboarding
2.1 Revolutionizing Recruitment with AI
2.2 Enhancing Onboarding with AI
2.3 Implementing AI in Recruitment and Onboarding
Module 3: Enhancing Employee Experience and Engagement
3.1 Talent Development and Performance Optimization with AI
3.2 AI for Employee Engagement and Sentiment Analysis
3.3 Implementing AI Solutions for Employee Experience
Module 4: Workforce Analytics and Talent Management
4.1 Introduction to Workforce Analytics
4.2 Predictive Analytics for HR
4.3 AI in Talent Management and Succession Planning
4.4 Ethical Considerations in Workforce Analytics
Module 5: Ethical AI and Bias Mitigation
5.1 Understanding Ethical AI in HR
5.2 Identifying and Mitigating Bias in AI Tools
5.3 Implementing Ethical AI Practices in HR
5.4 Building an Ethical AI Culture
Module 6: Legal Considerations in AI for HR
6.1 Legal Landscape for AI in HR
6.2 Compliance Strategies for AI in HR
6.3 Navigating Regulatory Changes
6.4 Ethical and Legal Alignment
Module 7: Preparing for the Future of AI in HR
7.1 Future Trends in AI and HR
7.2 Building Organizational Readiness for AI
7.3 Strategic Planning for AI Adoption
7.4 Ethical and Future Considerations
Module 8: Implementing AI in HR: A Practical Workshop
8.1 Project Planning and Design
8.2 Implementation Strategy
8.3 Monitoring, Evaluation, and Scaling
8.4 Ethical and Legal Considerations
Optional Module: AI Agents for Human Resources
1. Understanding AI Agents
2. Case Study
3. Hands-On Practice with AI Agents
Tools you will explore
TensorFlow
Scikit-learn
AI Fairness 360
Zotero
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
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.
€995
Klassikaal
max 12
1 dag
AI+ Human Resources Practitioner™ eLearning
Formerly known as AI+ Human Resources™
Building Tomorrow's Workforce Today with AI-Driven Solutions
AI in Workforce: Learn to integrate AI for smarter recruitment and performance systems
Data-Driven HR: Gain insights into talent acquisition and evaluation using ML
Ethical Application: Understand responsible AI practices in people management
Future-Ready Skills: Prepare to handle evolving HR dynamics with efficiency and equity
HR Professionals: Enhance your HR processes by integrating AI tools that improve recruitment, employee engagement, and workforce management.
Talent Acquisition Specialists: Leverage AI to find, assess, and engage candidates more effectively, ensuring the best talent for your organization.
People Analytics Experts: Apply AI-driven analytics to enhance decision-making in HR, from performance reviews to predictive workforce trends.
Business Leaders: Learn to implement AI strategies that streamline HR operations and align talent management with business objectives.
Students & New Graduates: Build a competitive resume by mastering AI-driven HR solutions and preparing for a future in HR tech.
AI-Driven Recruitment Strategies:Learn to leverage AI for data-driven recruitment, improving talent acquisition processes and decision-making.
AI-Enhanced Performance Management:Gain skills in using AI and machine learning to evaluate and optimize employee performance effectively.
Ethical AI in HR:Understand and implement ethical guidelines for AI usage in HR, ensuring fairness and transparency in decisions.
Competitive Edge in HR:Stand out in the HR field by mastering AI integration, positioning yourself as a leader in the AI-driven HR era.
Certification Overview
Course Introduction Preview
Module 1: Foundations of Artificial Intelligence (AI) in HR
1.1 Introduction to AI Technologies
1.2 AI’s Role in HR Evolution
1.3 AI Applications in HR
1.4 Preparing HR for AI Integration
Module 2: AI-Enhanced Recruitment and Onboarding
2.1 Revolutionizing Recruitment with AI
2.2 Enhancing Onboarding with AI
2.3 Implementing AI in Recruitment and Onboarding
Module 3: Enhancing Employee Experience and Engagement
3.1 Talent Development and Performance Optimization with AI
3.2 AI for Employee Engagement and Sentiment Analysis
3.3 Implementing AI Solutions for Employee Experience
Module 4: Workforce Analytics and Talent Management
4.1 Introduction to Workforce Analytics
4.2 Predictive Analytics for HR
4.3 AI in Talent Management and Succession Planning
4.4 Ethical Considerations in Workforce Analytics
Module 5: Ethical AI and Bias Mitigation
5.1 Understanding Ethical AI in HR
5.2 Identifying and Mitigating Bias in AI Tools
5.3 Implementing Ethical AI Practices in HR
5.4 Building an Ethical AI Culture
Module 6: Legal Considerations in AI for HR
6.1 Legal Landscape for AI in HR
6.2 Compliance Strategies for AI in HR
6.3 Navigating Regulatory Changes
6.4 Ethical and Legal Alignment
Module 7: Preparing for the Future of AI in HR
7.1 Future Trends in AI and HR
7.2 Building Organizational Readiness for AI
7.3 Strategic Planning for AI Adoption
7.4 Ethical and Future Considerations
Module 8: Implementing AI in HR: A Practical Workshop
8.1 Project Planning and Design
8.2 Implementation Strategy
8.3 Monitoring, Evaluation, and Scaling
8.4 Ethical and Legal Considerations
Optional Module: AI Agents for Human Resources
1. Understanding AI Agents
2. Case Study
3. Hands-On Practice with AI Agents
Tools you will explore
TensorFlow
Scikit-learn
AI Fairness 360
Zotero
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
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.
€225
E-Learning
max 999
1 dag
AI+ Marketing Practitioner™
Formerly known as AI+ Marketing™
Unlock Marketing Potential: Employ Advanced AI Technologies
AI-Powered Marketing: Explore predictive analytics, customer journey mapping, and automation
Strategic Impact: Learn to develop data-backed, personalized marketing strategies
Future-Focused Tools: Includes chatbots, AI content, and trend forecasting
ROI & Retention: Boost lead generation, customer retention, and innovation
Marketing Professionals: Enhance your expertise by integrating AI-driven strategies for smarter, data-backed campaigns.
Digital Marketing Experts: Leverage AI tools to optimize content personalization, SEO, and audience targeting.
Business Leaders: Innovate marketing practices by adopting AI technologies to drive growth and improve customer engagement.
CRM Specialists: Optimize customer relationships with AI-powered insights and automation for more effective communication.
Students & New Graduates: Build a competitive edge in the marketing field by mastering AI tools and technologies.1
AI in Marketing Essentials:Learn foundational AI concepts to streamline workflows and enhance marketing effectiveness.
AI-Driven Campaign Optimization:Master AI algorithms to optimize ads, personalize messages, and automate performance tracking.
Customer Insights through AI:Analyze data with AI to gain insights, predict trends, and personalize marketing strategies.
Ethical AI Practices in Marketing:Understand ethical AI practices, mitigate biases, and ensure transparency and fairness in marketing.
Course Overview
Course Introduction Preview
Module 1: Introduction to Artificial Intelligence (AI) in Marketing
1.1 Understanding AI and Its Core Components
1.2 AI Technologies Transforming Marketing
1.3 Applications of AI in Marketing
Module 2: AI-Driven Content Strategy and Personalization
2.1 Introduction to AI in Content Marketing
2.2 Personalization Through AI
2.3 AI in Search and Content Discovery
2.4 Implementing AI in Your Content Strategy
Module 3: AI in Social Media and Email Marketing
3.1 AI Integration in Social Media Marketing
3.2 Leveraging AI for Email Marketing Success
Module 4: Leveraging AI for Marketing Analytics
4.1 Introduction to AI-powered Analytics
4.2 Predictive Analytics and Consumer Behavior
4.3 Measuring and Optimizing Campaign Effectiveness
4.4 Ethical AI and Responsible Marketing
4.5 Future Trends in AI-driven Marketing
Module 5: Ethical Considerations in AI Marketing
5.1 Ethical AI Use in Marketing
5.2 Regulatory Compliance and Standards
5.3 Implementing Ethical AI Marketing Practices
Module 6: Crafting an AI-Driven Marketing Strategy
6.1 Strategic Planning with AI
6.2 Implementation of AI in Marketing Strategies
6.3 Creating a Scalable AI Marketing Plan
Module 7: AI Integration in Multichannel Marketing Campaigns
7.1 Integrating AI in Multichannel Strategies
7.2 Measuring the Effectiveness of AI-Enhanced Campaigns
7.3 Future Trends in AI and Multichannel Marketing
Optional Module: AI Agents for Marketing
1. What Are AI Agents?
2. Applications and Trends for AI Agents in Marketing
3. How Does an AI Agent Work?
4. Core Characteristics of AI Agents
5. Importance of AI Agents
6. Significance of AI Agents in Marketing Industry
7. Types of AI Agents
Tools you will explore
HubSpot
Copy.ai
ActiveCampaign
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
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.
€995
Klassikaal
max 12
1 dag
AI+ Marketing Practitioner™ eLearning
Formerly known as AI+ Marketing™
Unlock Marketing Potential: Employ Advanced AI Technologies
AI-Powered Marketing: Explore predictive analytics, customer journey mapping, and automation
Strategic Impact: Learn to develop data-backed, personalized marketing strategies
Future-Focused Tools: Includes chatbots, AI content, and trend forecasting
ROI & Retention: Boost lead generation, customer retention, and innovation
Marketing Professionals: Enhance your expertise by integrating AI-driven strategies for smarter, data-backed campaigns.
Digital Marketing Experts: Leverage AI tools to optimize content personalization, SEO, and audience targeting.
Business Leaders: Innovate marketing practices by adopting AI technologies to drive growth and improve customer engagement.
CRM Specialists: Optimize customer relationships with AI-powered insights and automation for more effective communication.
Students & New Graduates: Build a competitive edge in the marketing field by mastering AI tools and technologies.1
AI in Marketing Essentials:Learn foundational AI concepts to streamline workflows and enhance marketing effectiveness.
AI-Driven Campaign Optimization:Master AI algorithms to optimize ads, personalize messages, and automate performance tracking.
Customer Insights through AI:Analyze data with AI to gain insights, predict trends, and personalize marketing strategies.
Ethical AI Practices in Marketing:Understand ethical AI practices, mitigate biases, and ensure transparency and fairness in marketing.
Course Overview
Course Introduction Preview
Module 1: Introduction to Artificial Intelligence (AI) in Marketing
1.1 Understanding AI and Its Core Components
1.2 AI Technologies Transforming Marketing
1.3 Applications of AI in Marketing
Module 2: AI-Driven Content Strategy and Personalization
2.1 Introduction to AI in Content Marketing
2.2 Personalization Through AI
2.3 AI in Search and Content Discovery
2.4 Implementing AI in Your Content Strategy
Module 3: AI in Social Media and Email Marketing
3.1 AI Integration in Social Media Marketing
3.2 Leveraging AI for Email Marketing Success
Module 4: Leveraging AI for Marketing Analytics
4.1 Introduction to AI-powered Analytics
4.2 Predictive Analytics and Consumer Behavior
4.3 Measuring and Optimizing Campaign Effectiveness
4.4 Ethical AI and Responsible Marketing
4.5 Future Trends in AI-driven Marketing
Module 5: Ethical Considerations in AI Marketing
5.1 Ethical AI Use in Marketing
5.2 Regulatory Compliance and Standards
5.3 Implementing Ethical AI Marketing Practices
Module 6: Crafting an AI-Driven Marketing Strategy
6.1 Strategic Planning with AI
6.2 Implementation of AI in Marketing Strategies
6.3 Creating a Scalable AI Marketing Plan
Module 7: AI Integration in Multichannel Marketing Campaigns
7.1 Integrating AI in Multichannel Strategies
7.2 Measuring the Effectiveness of AI-Enhanced Campaigns
7.3 Future Trends in AI and Multichannel Marketing
Optional Module: AI Agents for Marketing
1. What Are AI Agents?
2. Applications and Trends for AI Agents in Marketing
3. How Does an AI Agent Work?
4. Core Characteristics of AI Agents
5. Importance of AI Agents
6. Significance of AI Agents in Marketing Industry
7. Types of AI Agents
Tools you will explore
HubSpot
Copy.ai
ActiveCampaign
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
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.
€225
E-Learning
max 999
1 dag
AI+ Product Manager Fundamentals™
Formerly known as AI+ Product Manager™
Innovate Products Faster with AI-Enabled Management
Product Innovation: Leverage AI to drive product development and market fit
Concept to Execution: Explore AI applications in real product lifecycle scenarios
Market Advantage: Bridge the gap between tech innovation and customer needs
Leadership Ready: Prepare for leading roles in fast-evolving product ecosystems
Product Managers: Enhance your skills by integrating AI into product development processes and drive innovation.
Aspiring Product Managers: Gain a strong foundation in AI-driven product management strategies to kickstart your career.
Technology Enthusiasts: Leverage AI tools to optimize product strategies and create impactful product experiences.
Business Analysts: Apply AI to streamline product development processes and enhance decision-making for better product outcomes.
Students & Fresh Graduates: Prepare for a successful career in AI product management by mastering the skills that top companies demand.
AI in Product Management Essentials:Learn foundational AI concepts to optimize product development and enhance decision-making.
AI-Driven Product Innovation:Master AI tools and techniques to drive product innovation, improve customer experience, and accelerate time-to-market.
Data-Driven Product Strategies:Utilize AI to analyze data, predict trends, and create personalized product strategies for targeted customer engagement.
Ethical AI in Product Development:Understand ethical AI practices, mitigate biases, and ensure transparency and compliance in product management.
Certification Overview
Course Introduction Preview
Module 1: Introduction to Artificial Intelligence (AI) for Product Managers
1.1 Understanding the Basics of artificial intelligence
1.2 Importance of AI
Module 2: Fundamentals of Machine Learning
2.1 Introduction to Machine Learning
2.2 Data Preparation in ML model
Module 3: AI Product Development Lifecycle
3.1 Exploring How AI Can Be Leveraged in Ideation and Conceptualization
3.2 Prototyping and Testing: Explore Methods for Prototyping and Testing AI-driven Products Effectively
Module 4: AI Ethics and Bias
4.1 Understanding Ethical Considerations: Examine the Ethical Implications of AI Products and the Responsibility of Product Managers
4.2 Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products
Module 5: AI Implementation Strategies
5.1 Integration with Existing Products: Explore Methods for Integrating AI Features into Existing Products Seamlessly
5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support
Module 6: AI Metrics and Performance Evaluation
6.1 Key Performance Indicators (KPIs): Identify Relevant Metrics for Measuring the Success of AI-driven Products
6.2 Performance Evaluation Techniques: Learn Methods for Evaluating the Performance of AI Models and Products
Module 7: AI Regulation and Compliance
7.1 Regulatory Landscape: Explore Current Regulations and Frameworks Relevant to AI Products
7.2 Compliance Strategies: Develop Strategies to Ensure AI Products Comply with Regulatory Requirements
Module 8: Future Trends in AI and Product Management
8.1 Emerging Technologies: Discuss Upcoming Trends and Technologies Shaping the Future of AI and Product Management
8.2 Strategic Planning: Learn How to Anticipate and Adapt to Future Changes in the AI Landscape to Drive Product Innovation
Optional Module: AI Agents for Product Management
1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
Tools you will explore
ChatGPT
AI Fairness 360
Power BI
IBM Watson OpenScale
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
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.
€995
Klassikaal
max 12
1 dag
AI+ Product Manager Fundamentals™ eLearning
Formerly known as AI+ Product Manager™
Innovate Products Faster with AI-Enabled Management
Product Innovation: Leverage AI to drive product development and market fit
Concept to Execution: Explore AI applications in real product lifecycle scenarios
Market Advantage: Bridge the gap between tech innovation and customer needs
Leadership Ready: Prepare for leading roles in fast-evolving product ecosystems
Product Managers: Enhance your skills by integrating AI into product development processes and drive innovation.
Aspiring Product Managers: Gain a strong foundation in AI-driven product management strategies to kickstart your career.
Technology Enthusiasts: Leverage AI tools to optimize product strategies and create impactful product experiences.
Business Analysts: Apply AI to streamline product development processes and enhance decision-making for better product outcomes.
Students & Fresh Graduates: Prepare for a successful career in AI product management by mastering the skills that top companies demand.
AI in Product Management Essentials:Learn foundational AI concepts to optimize product development and enhance decision-making.
AI-Driven Product Innovation:Master AI tools and techniques to drive product innovation, improve customer experience, and accelerate time-to-market.
Data-Driven Product Strategies:Utilize AI to analyze data, predict trends, and create personalized product strategies for targeted customer engagement.
Ethical AI in Product Development:Understand ethical AI practices, mitigate biases, and ensure transparency and compliance in product management.
Certification Overview
Course Introduction Preview
Module 1: Introduction to Artificial Intelligence (AI) for Product Managers
1.1 Understanding the Basics of artificial intelligence
1.2 Importance of AI
Module 2: Fundamentals of Machine Learning
2.1 Introduction to Machine Learning
2.2 Data Preparation in ML model
Module 3: AI Product Development Lifecycle
3.1 Exploring How AI Can Be Leveraged in Ideation and Conceptualization
3.2 Prototyping and Testing: Explore Methods for Prototyping and Testing AI-driven Products Effectively
Module 4: AI Ethics and Bias
4.1 Understanding Ethical Considerations: Examine the Ethical Implications of AI Products and the Responsibility of Product Managers
4.2 Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products
Module 5: AI Implementation Strategies
5.1 Integration with Existing Products: Explore Methods for Integrating AI Features into Existing Products Seamlessly
5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support
Module 6: AI Metrics and Performance Evaluation
6.1 Key Performance Indicators (KPIs): Identify Relevant Metrics for Measuring the Success of AI-driven Products
6.2 Performance Evaluation Techniques: Learn Methods for Evaluating the Performance of AI Models and Products
Module 7: AI Regulation and Compliance
7.1 Regulatory Landscape: Explore Current Regulations and Frameworks Relevant to AI Products
7.2 Compliance Strategies: Develop Strategies to Ensure AI Products Comply with Regulatory Requirements
Module 8: Future Trends in AI and Product Management
8.1 Emerging Technologies: Discuss Upcoming Trends and Technologies Shaping the Future of AI and Product Management
8.2 Strategic Planning: Learn How to Anticipate and Adapt to Future Changes in the AI Landscape to Drive Product Innovation
Optional Module: AI Agents for Product Management
1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
Tools you will explore
ChatGPT
AI Fairness 360
Power BI
IBM Watson OpenScale
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
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.
€225
E-Learning
max 999
1 dag
AI+ Project Manager Fundamentals™
Formerly known as AI+ Project Manager™
Streamline Project Success: AI-Enhanced Intelligent Solutions
Real-Time Integration: Learn to apply AI in project planning, decision-making, and execution
Advanced Curriculum: Covers AI algorithms, ML, and resource allocation tools
Multi-Disciplinary Focus: Tailored for complex, cross-functional project scenarios
Leadership Readiness: Empowers professionals to lead AI-driven project success
Project Management Professionals: Enhance your expertise by integrating AI to streamline project workflows and improve decision-making.
IT Professionals: Learn how to leverage AI technologies to optimize processes and drive innovation across multi-disciplinary projects.
Business Strategists: Gain the skills to apply AI insights to strategic planning, forecasting, and driving business growth.
Tech Enthusiasts & Innovators: Explore the practical application of AI in project management to stay ahead in the rapidly evolving tech landscape.
Students & New Graduates: Strengthen your resume with in-demand skills in AI-driven project management and prepare for the future of work.
Comprehensive AI Understanding:Learn core AI concepts and their applications in project management, enhancing efficiency and decision-making.
Advanced AI Tools:Discover and implement AI tools for scheduling, risk management, and resource allocation through practical examples and case studies.
Data-Driven Decision Making:Master data analysis and visualization techniques to make informed project decisions and optimize outcomes.
Ethical AI Integration:Gain knowledge on mitigating biases, developing AI governance frameworks, and navigating ethical dilemmas in AI-powered projects.
Module 1: Introduction to Artificial Intelligence (AI) in Project Management
1.1 Fundamentals of AI
1.2 AI in project management
1.3 Key AI Technologies
1.4 Benefits and challenges
1.5 Future prospects
Module 2: AI tools for project management
2.1 Overview of AI Tools
2.2 Artificial intelligence tools in action: improving efficiency in project management
2.3 Selection of AI tools
2.4 Implementation of AI tools
2.5 Case studies
Module 3: Data-driven decision making
3.1 Importance of data in artificial intelligence
3.2 Data analysis techniques
3.3 Application of the information obtained to project decisions
3.4 Tools for data visualization and report generation
3.5 Challenges and best practices
Module 4: AI to improve team collaboration and productivity
4.1 AI-enhanced collaboration tools
4.2 Boosting productivity with AI
4.3 Project knowledge management with AI
4.4 Overcoming the challenges of collaboration
Module 5: Ethical considerations and biases in AI
5.1 Understanding AI ethics
5.2 Identification and mitigation of biases
5.3 Development of AI governance
5.4 Case studies
Module 6: Implementation of AI in projects
6.1 Strategies for AI integration
6.2 How to choose the right AI tools
6.3 Preparing project data for AI
6.4 AI Implementation Plan
6.5 Monitoring AI Integration
6.6 Evaluation of AI results
6.7 Risk management in AI projects
6.8 Workshop: Implementation of AI tools
Module 7: The future of AI in project management
7.1 Emerging trends in AI and project management
7.2 AI and the changing role of the project manager
7.3 Sustainability and AI in projects
7.4 Adaptation to the future development of AI
7.5 Predictive analysis and future planning
Optional Module: AI agents for project management
1. Understanding AI Agents
2. Case study
3. Practice with AI agents
Tools you will explore
Hive
Wrike
Trello
ClickUp
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
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.
€995
Klassikaal
max 12
1 dag
AI+ Project Manager Fundamentals™ eLearning
Formerly known as AI+ Project Manager™
Streamline Project Success: AI-Enhanced Intelligent Solutions
Real-Time Integration: Learn to apply AI in project planning, decision-making, and execution
Advanced Curriculum: Covers AI algorithms, ML, and resource allocation tools
Multi-Disciplinary Focus: Tailored for complex, cross-functional project scenarios
Leadership Readiness: Empowers professionals to lead AI-driven project success
Project Management Professionals: Enhance your expertise by integrating AI to streamline project workflows and improve decision-making.
IT Professionals: Learn how to leverage AI technologies to optimize processes and drive innovation across multi-disciplinary projects.
Business Strategists: Gain the skills to apply AI insights to strategic planning, forecasting, and driving business growth.
Tech Enthusiasts & Innovators: Explore the practical application of AI in project management to stay ahead in the rapidly evolving tech landscape.
Students & New Graduates: Strengthen your resume with in-demand skills in AI-driven project management and prepare for the future of work.
Comprehensive AI Understanding:Learn core AI concepts and their applications in project management, enhancing efficiency and decision-making.
Advanced AI Tools:Discover and implement AI tools for scheduling, risk management, and resource allocation through practical examples and case studies.
Data-Driven Decision Making:Master data analysis and visualization techniques to make informed project decisions and optimize outcomes.
Ethical AI Integration:Gain knowledge on mitigating biases, developing AI governance frameworks, and navigating ethical dilemmas in AI-powered projects.
Module 1: Introduction to Artificial Intelligence (AI) in Project Management
1.1 Fundamentals of AI
1.2 AI in project management
1.3 Key AI Technologies
1.4 Benefits and challenges
1.5 Future prospects
Module 2: AI tools for project management
2.1 Overview of AI Tools
2.2 Artificial intelligence tools in action: improving efficiency in project management
2.3 Selection of AI tools
2.4 Implementation of AI tools
2.5 Case studies
Module 3: Data-driven decision making
3.1 Importance of data in artificial intelligence
3.2 Data analysis techniques
3.3 Application of the information obtained to project decisions
3.4 Tools for data visualization and report generation
3.5 Challenges and best practices
Module 4: AI to improve team collaboration and productivity
4.1 AI-enhanced collaboration tools
4.2 Boosting productivity with AI
4.3 Project knowledge management with AI
4.4 Overcoming the challenges of collaboration
Module 5: Ethical considerations and biases in AI
5.1 Understanding AI ethics
5.2 Identification and mitigation of biases
5.3 Development of AI governance
5.4 Case studies
Module 6: Implementation of AI in projects
6.1 Strategies for AI integration
6.2 How to choose the right AI tools
6.3 Preparing project data for AI
6.4 AI Implementation Plan
6.5 Monitoring AI Integration
6.6 Evaluation of AI results
6.7 Risk management in AI projects
6.8 Workshop: Implementation of AI tools
Module 7: The future of AI in project management
7.1 Emerging trends in AI and project management
7.2 AI and the changing role of the project manager
7.3 Sustainability and AI in projects
7.4 Adaptation to the future development of AI
7.5 Predictive analysis and future planning
Optional Module: AI agents for project management
1. Understanding AI Agents
2. Case study
3. Practice with AI agents
Tools you will explore
Hive
Wrike
Trello
ClickUp
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
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.
€225
E-Learning
max 999
1 dag
AI+ Project Management Practitioner™ eLearning
Build stronger project foundations with AI+ Project Management Practitioner ™ by combining AI-assisted planning with practical decision support.
Intelligent Project Operations: Discover how AI enhances planning, scheduling, task prioritization, and progress tracking to reduce manual effort and improve project consistency.
Predictive Planning & Resource Optimization: Use data-driven insights for timeline forecasting, workload balancing, capacity planning, and early risk detection to keep projects on track.
Governance, Compliance & Risk Awareness: Understand how AI supports documentation accuracy, change control, audit readiness, and ongoing risk monitoring in project environments.
Leadership Foundations for AI-Augmented Projects: Build skills to lead teams using AI-enabled workflows, including automated reporting, real-time insights, and improved stakeholder alignment.
Aspiring Project Managers: Individuals looking to build a strong foundation in project management while gaining exposure to AI-enabled workflows.
Early-Career Project Professionals: Project coordinators, analysts, or junior PMs seeking to enhance planning, tracking, and reporting using AI tools.
Business and Technical Professionals: Professionals involved in project execution who want to understand how AI can support timelines, resources, and risk awareness.
Team Leads and Supervisors: Leaders responsible for overseeing projects who want better visibility and decision support through AI-assisted insights.
Professionals Transitioning into AI-Supported Roles: Individuals aiming to stay relevant as project environments increasingly adopt AI-driven tools and data-supported execution.
AI-Ready Project Foundations:An understanding of how AI supports planning, tracking, and reporting in modern project environments.
Lower Manual Project Overhead:Reduced administrative effort through AI-assisted coordination and automated project updates.
Greater Delivery Predictability:Improved visibility into timelines, resource usage, and early risk indicators using AI-driven insights.
Enhanced Career Relevance:Alignment with project roles that increasingly value AI-supported workflows and data-aware execution.
Confident Leadership in AI-Supported Teams:The ability to guide teams using AI-enhanced dashboards, automation, and real-time project intelligence.
Module 1: Project Management Overview
1.1 Introduction to Project Management
1.2 Project Management Lifecycle
1.3 Advanced Project Management Tasks
1.4 Project Management Frameworks
1.5 Project Manager’s Roles and Responsibilities
Module 2: Introduction to AI and ML
2.1 Introduction to Artificial Intelligence (AI)
2.2 Introduction to Machine Learning (ML)
2.3 Neural Networks
2.4 AI and ML Applications and Trends
2.5 Case Studies on AI and ML Projects
Module 3: Data Driven Decision Making
3.1 The Importance of Data in Artificial Intelligence
3.2 Data Analysis Techniques
3.4 Applying Data Insights to Project Decisions
3.5 Tools for Data Visualization and Reporting
3.6 Challenges and Best Practices
Module 4: AI-Driven Project Risk Management
4.1 AI in Risk Management – An Introduction
4.2 AI for Risk Mitigation and Response
4.3 AI for Financial and Resource Risk Management
4.4 AI in Risk Management: The Future Scope
4.5 Case Study – AI-based Project Risk Management
Module 5: Planning Project Work Breakdown and Structuring and Project Scheduling by AI
5.1 Introduction to Work Breakdown Structure (WBS)
5.2 AI for WBS Creation
5.3 AI in Project Scheduling
5.4 AI for Resource-Constrained Scheduling
5.5 Case Studies: AI-based WBS and AI Algorithms for Project Scheduling
Module 6: Effective Project Budgeting Using AI
6.1 Introduction to AI in Budgeting
6.2 AI for Estimating Costs and Budget Allocation
6.3 AI for Budget Optimization
6.4 Future of AI in Project Budgeting
6.5 Case Study: AI Algorithms for Project Scheduling, AI- Based Model for Estimating Costs and Budget Allocation
Module 7: AI for Planning Human Resources
7.1 Introduction to AI in Human Resource Planning
7.2 AI for Workforce Allocation
7.3 AI in Skill Matching and Employee Performance Analysis
7.4 The Future of AI in Human Resource Planning
7.5 Case Studies: Designing AI-Based Models for HR Planning
Module 8: Stakeholder Management Using AI
8.1 Introduction to Stakeholder Management and AI
8.2 Identifying and Categorizing Stakeholders Using AI
8.3 Stakeholder Conflicts Management with AI
8.4 Ethics and Future Prospects in AI-based Stakeholder Management
8.5 Case Studies: AI Tools for Stakeholder Management
Module 9: AI-based Project Monitoring
9.1 Introduction to Project Monitoring and AI
9.2 AI-based Tools for Monitoring Project Progress
9.3 AI for Risk Monitoring
9.4 Case Studies: AI Tools for Project Monitoring
Module 10: Transformative Role of Project Management
10.1 Current State of AI in Project Management
10.2 Ethical Considerations in AI-Based Project Management
10.3 Technical Challenges in AI Integration
Additional Module: AI Agents for Project Management Practitioner
1. Understanding AI Agents
2. How Does an AI Agent Work
3. Applications and Trends of AI Agents in Project Management
4. Core Characteristics of AI Agents
5. Significance of AI Agents in Project Management
6. Types of AI Agents
7. Case Study-AI Agents for Agile Project Delivery – Atlassian in Action
8. Hands-On Activity
Tools you will explore
Python for Project Analytics
Machine Learning Libraries for Project Insights (Scikit-learn, TensorFlow)
Project Data Handling Tools (Pandas, NumPy)
Visualization Platforms for Project Dashboards (Power BI, Tableau)
Project Data Storage using SQL & NoSQL Databases
APIs for Project and Workflow Integration
Cloud Platforms for AI-Enabled Project Management (AWS & Azure Services)
OpenAI & LangChain for AI-Assisted Project Tools
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
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.
€530
E-Learning
max 999
5 dagen
AI+ Sales Practitioner™
Formerly known as AI+ Sales™
Boost Sales Success Through AI-Driven Insights
Sales Transformation: Harness AI to boost sales operations, CRM integration, and forecasting
Hands-on Approach: Practical workshops covering AI tools and ethical sales practices
Data-Driven Insights: Learn to analyze, optimize, and automate sales processes
Growth-Oriented: Drive ethical business growth and maximize performance
Sales Executives: Use AI to automate sales processes and enhance customer relationship management for improved sales performance.
Marketing Professionals: Integrate AI with marketing strategies to customer targeting, personalization, and engagement.
Business Development Managers: Leverage AI-driven insights to identify new business opportunities and drive growth.
Product Managers: Utilize AI to understand customer needs, optimize pricing strategies, and improve product positioning.
Consultants: Help organizations implement AI-powered sales strategies that drive profitability and operational efficiency.
Comprehensive AI Understanding:Learn core AI concepts for streamlined sales workflows, trend forecasting, and client engagement.
Predictive Sales Analytics:Learn to leverage AI for predictive modeling, forecasting sales, and enhancing decision-making.
AI-Enhanced Customer Insights:Explore AI tools to analyze behavior, automate scoring, and personalize outreach effectively.
Ethical AI Integration:Gain insights on addressing ethical concerns and establishing AI governance in sales.
Course Overview
Course Introduction Preview
Module 1: Introduction to Artificial Intelligence (AI) in Sales
1.1 Fundamentals of AI
1.2 Generative AI and Modern Evolution of AI in Sales
1.3 AI Tools and Technologies that Transform Sales
1.4 Benefits and Challenges in the Adoption of AI in Sales
1.5 Real-world Examples and Applications of AI in Sales
1.6 The Future of AI in Sales
Module 2: Understanding Data in Sales
2.1 Categories of Sales Data
2.2 Techniques for Effective Data Collection
2.3 Basic Concepts of Data Analysis and Interpretation
2.4 Data Management Methods
2.5 Data Protection Principles
2.6 Data Integration in CRM Systems
2.7 Overview of Analytical Tools
2.8 Ethical Use of Sales Data
2.9 Case Studies: Real-World Data Applications
Module 3: AI Technologies for Sales
3.1 Introduction to Machine Learning in Sales
3.2 Predictive Analytics: Sales Trend Forecasting
3.3 NLP for Enhancing Customer Interactions
3.4 Chatbots: Customer Service Automation
3.5 Segmentation: Tailoring Customer Experiences
3.6 Personalization: Customizing Sales Approaches
3.7 Recommendation Engines: Driving Product Suggestions
3.8 Sales Automation: Streamlining Sales Processes
3.9 Performance Analysis: Measuring Sales Effectiveness
3.10 Modern AI Sales Stack: Generative AI, Copilots, and Intelligent Workflows
Module 4: Implementation of AI in CRM Systems
4.1 Foundation of CRM Systems
4.2 AI Integration into CRM Systems
4.3 Lead Scoring
4.4 Customer Insights
4.5 Sales Automation
4.6 Personalized Communication
4.7 Chatbots and CRM
4.8 Gaining Actionable Insights from Data
4.9 Case Studies
4.10 Modern AI CRM Stack: Tools, Integrations, and Execution Layer
Module 5: Sales Forecasting with AI
5.1 Introduction to Sales Forecasting
5.2 Overview of Predictive Models in Forecasting
5.3 Data Preparation for Analysis
5.4 Identifying Sales Patterns and Trends
5.5 Enhancing Forecast Reliability
5.6 Key Forecasting AI Tools in AI
5.7 Utilizing Real-time Data for Forecasts
5.8 Developing Forecasts for Different Outcomes
5.9 Measuring the Success of Sales Forecasts
5.10 Case Study – How SaaS Companies Forecast Revenue Using AI
Module 6: Enhancing Sales Processes with AI
6.1 Task Automation
6.2 AI-driven Email Marketing
6.3 Social Media with AI Analytics
6.4 AI-Powered Lead Generation
6.5 Customer Segmentation
6.6 Optimization of Sales Visits and Calls
6.7 Tailoring Content with AI Insights
6.8 Real-Time Sales Activity Monitoring
6.9 Upselling and Cross-selling with AI
Module 7: Ethical Considerations and Bias in AI
7.1 Ethical Use of AI in Sales
7.2 Bias Identification in AI Systems
7.3 Bias Mitigation
7.4 Transparency in AI Decision Making
7.5 Accountability for AI Actions
7.6 Safeguarding Customer Data
7.7 Regulatory Compliance
7.8 Building Customer Trust through Ethical AI
7.9 Anticipating Ethical Problems in AI Advancements
Module 8: Practical Workshop
8.1 Scenario-Based Exercises
8.2 Addressing Sales Challenges with AI
8.3 Collaborative AI Implementation Plans
Optional Module: Introduction to AI Agents for Sales
1. What are AI Agents
2. Types of AI Agents
3. Applications and Trend of AI Agents in Sales
4. Case studies
5. Hands-on
Tools you will explore
Salesforce Einstein
Conversica
Uniphore
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
Flexible Online Learning with a One-Year Subscription
Get a complete learning experience with one year of subscription access, including course updates and these features:
Learn Across Devices
Access learning materials on your tablet or mobile phone.
Exam Preparation Resources
Prepare with a comprehensive exam study guide.
Online Proctored Exam
Take your certification exam with one free retake.
Quizzes and Assessments
Reinforce your knowledge with practice assessments and course resources.
AI-Powered Learning Support
Get personalized guidance from the AI Mentor.
E-Books and Podcasts
Access study materials in PDF and audio formats, along with podcasts.
On-Demand Video Lessons
Learn through high-quality educational videos.
€995
Klassikaal
max 12
1 dag