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AI+ Finance Agent Specialty™
Formerly known as AI+ Finance Agent™
Empower organizations with AI+ Finance Agent Specialty™ to automate financial operations and improve decisions
* Core Concepts Covered: Learn AI fundamentals for finance, focusing on analytics, trading, risk, fraud, automation
* Capstone Application: Build practical AI finance agents supporting trading, risk evaluation, fraud monitoring, and forecasting
* Career Readiness: Gain expertise in AI-powered financial roles through mentorship, hands-on training, designing AI agents for finance innovation
Module 1: Introduction to AI Agents in Finance
* 1.1 Understanding AI Agents in Finance vs Traditional Financial Automation
* 1.2 The Evolution of AI Agents in Financial Services
* 1.3 Overview of Different Types of AI Agents in Finance
* 1.4 Importance of Agent Autonomy and Task Delegation in Financial Settings
* 1.5 Key Differences Between AI Agents in Finance and Traditional Automation
* 1.6 Hands-On Activity: Exploring AI Agents in Finance Module 2: Building and Understanding AI Agents in Finance
* 2.1 Architecture of AI Agents in Finance
* 2.2 Tools and Libraries for Agent Development
* 2.3 AI Agents vs. Static Models
* 2.4 Overview of Agent Lifecycle
* 2.5 Use Case: Customer Support Agents in Banks for Handling KYC, FAQs, and Transaction Disputes
* 2.6 Case Study: Bank of America’s Erica: A Virtual Financial Assistant that Handles 1+ Billion Interactions Using Predictive AI
* 2.7 Hands-On Activity: Building and Understanding AI Agents in Finance Module 3: Intelligent Agents for Fraud Detection and Anomaly Monitoring
* 3.1 Supervised/Unsupervised ML for Fraud Detection
* 3.2 Pattern Analysis & Behavioural Profiling
* 3.3 Real-time Monitoring Agents
* 3.4 Real-World Use Case: AI Agents Monitoring Transaction Behaviour and Flagging Anomalies for Real-Time Fraud Detection in Digital Wallets
* 3.5 Case Study: PayPal’s AI System Uses Graph-Based Anomaly Detection Agents to Flag 0.32% of All Transactions for Fraud with 99.9% Accuracy
* 3.6 Hands-On Activity: Intelligent Agents for Fraud Detection and Anomaly Monitoring Module 4: AI Agents for Credit Scoring and Lending Automation
* 4.1 Feature Generation from Non-Traditional Credit Data
* 4.2 Explainability (XAI) in Credit Decisions
* 4.3 Bias Mitigation in Lending Agents
* 4.4 Real-World Use Case: Agents Assessing New-to-Credit Individuals Using Transaction and Mobile Data
* 4.5 Case Study: Upstart’s AI-Based Lending Platform Approved by CFPB Showed 27% Increase in Approval Rate and 16% Lower APRs for Borrowers
* 4.6 Hands-On Activity: AI Agents for Credit Scoring and Lending Automation Module 5: AI Agents for Wealth Management and Robo-Advisory
* 5.1 Personalization Using Profiling Agents
* 5.2 Portfolio Rebalancing Algorithms
* 5.3 Sentiment-Aware Investing
* 5.4 Real-World Use Case: AI Agent Adjusting Portfolio Weekly Based on Financial Goals and Market Trends
* 5.5 Case Study: Wealthfront’s Path Agent Uses Financial Behavior Modeling to Recommend Personalized Savings Goals and Investment Paths
* 5.6 Hands-On Activity: AI Agents for Wealth Management and Robo-Advisory Module 6: Trading Bots and Market-Monitoring Agents
* 6.1 Reinforcement Learning in Trading Agents
* 6.2 Predictive Modelling Using Historical Data
* 6.3 Risk-Reward Threshold Management
* 6.4 Real-World Use Case: AI Trading Agents Performing Arbitrage Between Crypto Exchanges
* 6.4 Case Study: Renaissance Technologies Utilizes AI to Automate Short-Hold Trades, Generating Consistent Alpha via Adaptive Trading Bots
* 6.5 Hands-On Activity: Trading Bots and Market-Monitoring Agents Module 7: NLP Agents for Financial Document Intelligence
* 7.1 LLMs in Earnings Call and Filings Analysis
* 7.2 AI Summarization and Event Detection
* 7.3 Voice-to-Text and Key-Point Extraction
* 7.4 Real-World Use Case
* 7.5 Case Study: BloombergGPT — A Financial-Grade Large Language Model
* 7.6 Hands-On Activity: NLP Agents for Financial Document Intelligence Module 8: Compliance and Risk Surveillance Agents
* 8.1 AI for Anti-Money Laundering (AML) and Know Your Business (KYB)
* 8.2 Regulation-aware Rule Modelling
* 8.3 Transaction Graph Analysis
* 8.4 Real-World Use Case: Agent tracking suspicious cross-border money transfers in real-time across multiple accounts.
* 8.5 Case Study: HSBC uses Quantexa’s AI agents to trace AML networks, increasing suspicious activity detection by 30%.
* 8.6 Hands-On Activity: Compliance and Risk Surveillance Agents in Financial Systems Module 9: Responsible, Fair & Auditable AI Agents
* 9.1 Governance Frameworks for AI in Finance (RBI, EU AI Act)
* 9.2 Transparency and Auditability in Decision Logic
* 9.3 Fairness and Explainability
* 9.4 Real-World Use Case: Auditable AI Agent Logs Used During Internal Policy Audits to Ensure Fair Lending practices.
* 9.5 Case Study: Wells Fargo implemented internal AI fairness reviews for lending bots post regulatory scrutiny.
* 9.6 Hands-On Activity: Responsible, Fair & Auditable AI Agents in Finance Module 10: World Famous Case Studies
* 10.1 Case Study 1: JPMorgan’s COiN Platform
* 10.2 Case Study 2: AI in Fraud Detection – PayPal’s Decision Intelligence
* 10.3 Case Study: AI-Driven Credit Scoring – Upstart’s Lending Platform
* 10.4 Capstone Project
* 10.5 Key Takeaways of the Module Tools you will explore
* Python
* TensorFlow
* Pandas
* NumPy
* Power BI
* SQL
* OpenAI API
* APIs
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+ Finance Agent Specialty™ eLearning
Formerly known as AI+ Finance Agent™
Empower organizations with AI+ Finance Agent Specialty™ to automate financial operations and improve decisions
* Core Concepts Covered: Learn AI fundamentals for finance, focusing on analytics, trading, risk, fraud, automation
* Capstone Application: Build practical AI finance agents supporting trading, risk evaluation, fraud monitoring, and forecasting
* Career Readiness: Gain expertise in AI-powered financial roles through mentorship, hands-on training, designing AI agents for finance innovation
Module 1: Introduction to AI Agents in Finance
* 1.1 Understanding AI Agents in Finance vs Traditional Financial Automation
* 1.2 The Evolution of AI Agents in Financial Services
* 1.3 Overview of Different Types of AI Agents in Finance
* 1.4 Importance of Agent Autonomy and Task Delegation in Financial Settings
* 1.5 Key Differences Between AI Agents in Finance and Traditional Automation
* 1.6 Hands-On Activity: Exploring AI Agents in Finance Module 2: Building and Understanding AI Agents in Finance
* 2.1 Architecture of AI Agents in Finance
* 2.2 Tools and Libraries for Agent Development
* 2.3 AI Agents vs. Static Models
* 2.4 Overview of Agent Lifecycle
* 2.5 Use Case: Customer Support Agents in Banks for Handling KYC, FAQs, and Transaction Disputes
* 2.6 Case Study: Bank of America’s Erica: A Virtual Financial Assistant that Handles 1+ Billion Interactions Using Predictive AI
* 2.7 Hands-On Activity: Building and Understanding AI Agents in Finance Module 3: Intelligent Agents for Fraud Detection and Anomaly Monitoring
* 3.1 Supervised/Unsupervised ML for Fraud Detection
* 3.2 Pattern Analysis & Behavioural Profiling
* 3.3 Real-time Monitoring Agents
* 3.4 Real-World Use Case: AI Agents Monitoring Transaction Behaviour and Flagging Anomalies for Real-Time Fraud Detection in Digital Wallets
* 3.5 Case Study: PayPal’s AI System Uses Graph-Based Anomaly Detection Agents to Flag 0.32% of All Transactions for Fraud with 99.9% Accuracy
* 3.6 Hands-On Activity: Intelligent Agents for Fraud Detection and Anomaly Monitoring Module 4: AI Agents for Credit Scoring and Lending Automation
* 4.1 Feature Generation from Non-Traditional Credit Data
* 4.2 Explainability (XAI) in Credit Decisions
* 4.3 Bias Mitigation in Lending Agents
* 4.4 Real-World Use Case: Agents Assessing New-to-Credit Individuals Using Transaction and Mobile Data
* 4.5 Case Study: Upstart’s AI-Based Lending Platform Approved by CFPB Showed 27% Increase in Approval Rate and 16% Lower APRs for Borrowers
* 4.6 Hands-On Activity: AI Agents for Credit Scoring and Lending Automation Module 5: AI Agents for Wealth Management and Robo-Advisory
* 5.1 Personalization Using Profiling Agents
* 5.2 Portfolio Rebalancing Algorithms
* 5.3 Sentiment-Aware Investing
* 5.4 Real-World Use Case: AI Agent Adjusting Portfolio Weekly Based on Financial Goals and Market Trends
* 5.5 Case Study: Wealthfront’s Path Agent Uses Financial Behavior Modeling to Recommend Personalized Savings Goals and Investment Paths
* 5.6 Hands-On Activity: AI Agents for Wealth Management and Robo-Advisory Module 6: Trading Bots and Market-Monitoring Agents
* 6.1 Reinforcement Learning in Trading Agents
* 6.2 Predictive Modelling Using Historical Data
* 6.3 Risk-Reward Threshold Management
* 6.4 Real-World Use Case: AI Trading Agents Performing Arbitrage Between Crypto Exchanges
* 6.4 Case Study: Renaissance Technologies Utilizes AI to Automate Short-Hold Trades, Generating Consistent Alpha via Adaptive Trading Bots
* 6.5 Hands-On Activity: Trading Bots and Market-Monitoring Agents Module 7: NLP Agents for Financial Document Intelligence
* 7.1 LLMs in Earnings Call and Filings Analysis
* 7.2 AI Summarization and Event Detection
* 7.3 Voice-to-Text and Key-Point Extraction
* 7.4 Real-World Use Case
* 7.5 Case Study: BloombergGPT — A Financial-Grade Large Language Model
* 7.6 Hands-On Activity: NLP Agents for Financial Document Intelligence Module 8: Compliance and Risk Surveillance Agents
* 8.1 AI for Anti-Money Laundering (AML) and Know Your Business (KYB)
* 8.2 Regulation-aware Rule Modelling
* 8.3 Transaction Graph Analysis
* 8.4 Real-World Use Case: Agent tracking suspicious cross-border money transfers in real-time across multiple accounts.
* 8.5 Case Study: HSBC uses Quantexa’s AI agents to trace AML networks, increasing suspicious activity detection by 30%.
* 8.6 Hands-On Activity: Compliance and Risk Surveillance Agents in Financial Systems Module 9: Responsible, Fair & Auditable AI Agents
* 9.1 Governance Frameworks for AI in Finance (RBI, EU AI Act)
* 9.2 Transparency and Auditability in Decision Logic
* 9.3 Fairness and Explainability
* 9.4 Real-World Use Case: Auditable AI Agent Logs Used During Internal Policy Audits to Ensure Fair Lending practices.
* 9.5 Case Study: Wells Fargo implemented internal AI fairness reviews for lending bots post regulatory scrutiny.
* 9.6 Hands-On Activity: Responsible, Fair & Auditable AI Agents in Finance Module 10: World Famous Case Studies
* 10.1 Case Study 1: JPMorgan’s COiN Platform
* 10.2 Case Study 2: AI in Fraud Detection – PayPal’s Decision Intelligence
* 10.3 Case Study: AI-Driven Credit Scoring – Upstart’s Lending Platform
* 10.4 Capstone Project
* 10.5 Key Takeaways of the Module Tools you will explore
* Python
* TensorFlow
* Pandas
* NumPy
* Power BI
* SQL
* OpenAI API
* APIs
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+ 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
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 Personalizing Employee Development 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 Studies
* 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
€895
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
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 Personalizing Employee Development 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 Studies
* 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
€200
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
Course Overview
* Course Introduction Preview Module 1: Introduction to Artificial Intelligence (AI) in Marketing
* 1.1 Understanding AI and Its Core Components Preview
* 1.2 Historical Context and Evolution of AI in Marketing Preview
* 1.3 AI Technologies Transforming Marketing Preview
* 1.4 Applications of AI in Marketing Module 2: AI-Driven Content Strategy and Personalization
* 2.1 Introduction to AI in Content Marketing Preview
* 2.2 Personalization Through AI Preview
* 2.3 Implementing AI in Your Content Strategy Module 3: AI in Social Media and Email Marketing
* 3.1 AI Integration in Social Media Marketing Preview
* 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 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. Understanding AI Agents
* 2. Case Studies
* 3. Hands-On Practice with 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
€895
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
Course Overview
* Course Introduction Preview Module 1: Introduction to Artificial Intelligence (AI) in Marketing
* 1.1 Understanding AI and Its Core Components Preview
* 1.2 Historical Context and Evolution of AI in Marketing Preview
* 1.3 AI Technologies Transforming Marketing Preview
* 1.4 Applications of AI in Marketing Module 2: AI-Driven Content Strategy and Personalization
* 2.1 Introduction to AI in Content Marketing Preview
* 2.2 Personalization Through AI Preview
* 2.3 Implementing AI in Your Content Strategy Module 3: AI in Social Media and Email Marketing
* 3.1 AI Integration in Social Media Marketing Preview
* 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 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. Understanding AI Agents
* 2. Case Studies
* 3. Hands-On Practice with 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
€200
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
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
€895
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
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
€200
E-Learning
max 999
1 dag
AI+ Project Manager Fundamentals™
Nieuwegein
ma 2 nov. 2026
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
Course Overview
* Course Introduction Preview Module 1: Introduction to Artificial Intelligence (AI) in Project Management
* 1.1 AI Fundamentals Preview
* 1.2 AI in Project ManagementPreview
* 1.3 Key AI Technologies
* 1.4 Benefits and Challenges
* 1.5 Future Perspectives Module 2: AI Tools for Project Management
* 2.1 Overview of AI Tools Preview
* 2.2 Artificial Intelligence Tools in Action: Enhancing Project Management Efficiency Preview
* 2.3 Selecting AI Tools Preview
* 2.4 Implementing AI Tools
* 2.5 Case Studies Module 3: Data-Driven Decision Making
* 3.1 Importance of Data in Artificial Intelligence Preview
* 3.2 Data Analysis Techniques Preview
* 3.3 Applying Data Insights to Project Decisions
* 3.4 Tools for Data Visualization and Reporting
* 3.5 Challenges and Best Practices Module 4: AI for Enhancing Team Collaboration and Productivity
* 4.1 AI-Enhanced Collaboration Tools
* 4.2 Boosting Productivity with AI
* 4.3 Managing Project Knowledge with AI
* 4.4 Overcoming Collaboration Challenges Module 5: Ethical Considerations and Bias in AI
* 5.1 Understanding AI Ethics
* 5.2 Identifying and Mitigating Bias
* 5.3 Developing AI Governance
* 5.4 Case Studies Module 6: Implementing AI in Projects
* 6.1 Strategies for AI Integration
* 6.2 Choosing the Right AI Tools
* 6.3 Project Data Preparation for AI
* 6.4 AI Implementation Plan
* 6.5 Monitoring AI Integration
* 6.6 Evaluating AI Outcomes
* 6.7 Risk Management in AI Projects
* 6.8 Workshop: AI Tool Deployment Module 7: Future of AI in Project Management
* 7.1 Emerging Trends in AI and Project Management
* 7.2 AI and the Evolving Role of the Project Manager
* 7.3 Sustainability and AI in Projects
* 7.4 Adapting to Future AI Development
* 7.5 Predictive Analysis and Future Planning Optional Module: AI Agents for Project Management
* 1. Understanding AI Agents
* 2. Case Studies
* 3. Hands-On 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
€895
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
Course Overview
* Course Introduction Preview Module 1: Introduction to Artificial Intelligence (AI) in Project Management
* 1.1 AI Fundamentals Preview
* 1.2 AI in Project ManagementPreview
* 1.3 Key AI Technologies
* 1.4 Benefits and Challenges
* 1.5 Future Perspectives Module 2: AI Tools for Project Management
* 2.1 Overview of AI Tools Preview
* 2.2 Artificial Intelligence Tools in Action: Enhancing Project Management Efficiency Preview
* 2.3 Selecting AI Tools Preview
* 2.4 Implementing AI Tools
* 2.5 Case Studies Module 3: Data-Driven Decision Making
* 3.1 Importance of Data in Artificial Intelligence Preview
* 3.2 Data Analysis Techniques Preview
* 3.3 Applying Data Insights to Project Decisions
* 3.4 Tools for Data Visualization and Reporting
* 3.5 Challenges and Best Practices Module 4: AI for Enhancing Team Collaboration and Productivity
* 4.1 AI-Enhanced Collaboration Tools
* 4.2 Boosting Productivity with AI
* 4.3 Managing Project Knowledge with AI
* 4.4 Overcoming Collaboration Challenges Module 5: Ethical Considerations and Bias in AI
* 5.1 Understanding AI Ethics
* 5.2 Identifying and Mitigating Bias
* 5.3 Developing AI Governance
* 5.4 Case Studies Module 6: Implementing AI in Projects
* 6.1 Strategies for AI Integration
* 6.2 Choosing the Right AI Tools
* 6.3 Project Data Preparation for AI
* 6.4 AI Implementation Plan
* 6.5 Monitoring AI Integration
* 6.6 Evaluating AI Outcomes
* 6.7 Risk Management in AI Projects
* 6.8 Workshop: AI Tool Deployment Module 7: Future of AI in Project Management
* 7.1 Emerging Trends in AI and Project Management
* 7.2 AI and the Evolving Role of the Project Manager
* 7.3 Sustainability and AI in Projects
* 7.4 Adapting to Future AI Development
* 7.5 Predictive Analysis and Future Planning Optional Module: AI Agents for Project Management
* 1. Understanding AI Agents
* 2. Case Studies
* 3. Hands-On 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
€200
E-Learning
max 999
1 dag