Description: “AI for Everyone” is a concise, two-hour course designed to demystify the concepts of artificial intelligence and demonstrate its applications in everyday life. This course covers the basics of how AI works, explores real-world examples of AI in action, and introduces prompt engineering, enabling participants to understand and begin utilizing AI tools effectively. Ideal for learners of all backgrounds, this course provides the stepping stones to harness the potential of AI technology personally and professionally.
Duration (in hours): 2
Table for Course Outline:
Module Name | Duration (in min) | Module Description |
---|---|---|
Introduction to AI | 15 | Overview of AI fundamentals, including what AI is, its history, and its importance in the modern world. |
AI in Daily Life | 15 | Explore practical applications of AI in various sectors such as healthcare, finance, and entertainment. |
Understanding Data | 15 | Introduction to the role of data in AI, how it is used, and the basics of data privacy and ethics. |
AI Technologies | 15 | Brief overview of key AI technologies like machine learning, natural language processing, and robotics. |
Prompt Engineering | 30 | Detailed exploration of prompt engineering, how to craft effective prompts, and their uses in AI tools. |
Getting Started with AI | 30 | Hands-on guidance on how to use simple AI tools and platforms to benefit your daily tasks. |
Description: This course highlights how AI can be specifically applied in the PMO/Board Department, enhancing project management, governance, and strategic decisions.
Duration (in hours): 2
Table for Course Outline:
Module Name | Duration (in hours) | Module Description |
---|---|---|
AI in Project Management | 24 | Exploration of AI tools for optimizing project timelines and resource management. |
AI for Decision Support | 24 | Utilizing AI to enhance data-driven decision-making in strategic settings. |
AI and Compliance | 24 | AI applications in ensuring compliance and adherence to regulations. |
AI in Risk Management | 24 | AI-driven approaches to identifying and mitigating risks effectively. |
AI for Performance Analysis | 24 | Employing AI to better assess and improve performance metrics. |
Job Role | Duration (in hours) | Course Name | Learning Outcome |
---|---|---|---|
Enterprise Risk Manager | 2 | Advanced AI Techniques in Enterprise Risk Management | Master AI-driven strategies for comprehensive risk assessment and mitigation. |
Portfolio Manager | 2 | AI-Driven Portfolio Management | Understand how AI can optimize portfolio management, enhancing asset allocation, and risk-adjusted returns. |
Enterprise Performance Analyst | 2 | AI in Enterprise Performance Analysis | Equip analysts with AI tools to enhance data processing, interpretation, and strategic decision-making. |
Board Member | 2 | AI for Strategic Decision-Making in Governance | Understand how AI can support governance by enhancing decision-making and maintaining regulatory compliance. |
Senior Executive (C-suite) | 2 | AI in Executive Decision-Making | Leverage AI to manage liabilities, adhere to regulations, and fulfill executive responsibilities effectively. |
Learning Outcomes: Master AI-driven strategies for comprehensive risk assessment and mitigation.
Duration (in hours): 2
Table for Course Outline:
Module Name | Duration (in min) | Module Description | Specific AI Tools Related to the Module |
---|---|---|---|
AI for Risk Assessment | 20 | Utilizing AI to identify potential risks accurately and efficiently. | IBM OpenPages with Watson (Free trial available) |
AI in Mitigating Risks | 20 | Applying AI methodologies to decrease and manage identified risks. | SAS Risk Management (Paid) |
AI for Continuous Monitoring | 20 | Setting up AI systems for ongoing risk monitoring and updates. | Palantir for Compliance (Paid) |
Hands-on | 60 | Hands-on training in creating custom AI tools for risk management. | Custom Agent Building |
AI Tools:
IBM OpenPages with Watson: A risk management tool that integrates AI to help organizations manage compliance and risks. Offers a free trial to explore its features.
Risk Management Software, Enterprise Risk Management | SAS (Paid)
Learning Outcomes: Understand how AI can optimize portfolio management, enhancing asset allocation, and risk-adjusted returns.
Duration (in hours): 2
Table for Course Outline:
Module Name | Duration (in min) | Module Description | Specific AI Tools Related to the Module |
---|---|---|---|
AI in Asset Allocation | 20 | Utilizing AI to optimize asset allocation and improve portfolio diversification. | Quantopian (Free) |
AI for Risk Analysis | 20 | Leveraging AI to assess and manage portfolio risks more effectively. | Aladdin by BlackRock (Paid) |
AI in Performance Forecasting | 20 | Applying AI to forecast market trends and portfolio performance. | Kavout (Paid) |
Hands-on | 60 | Practical training on developing AI models for predictive analytics in portfolio management. | Custom Agent Building |
AI Tool:
Quantopian: A free tool that offers a platform for building, testing, and executing trading algorithms.
Aladdin by BlackRock: A comprehensive investment management platform that integrates sophisticated risk analytics with portfolio management, trading, and operations tools.
Aladdin® by BlackRock – software for portfolio management (Paid)
Kavout: An AI tool that uses machine learning models to predict stock performance and market movements.
Learning Outcomes: Equip analysts with AI tools to enhance data processing, interpretation, and strategic decision-making.
Duration (in hours): 2
Table for Course Outline:
Module Name | Duration (in min) | Module Description | Specific AI Tools Related to the Module |
---|---|---|---|
AI for Data Analysis | 20 | Exploring AI techniques for deep data analysis and insights generation. | Tableau with AI Extensions (Paid) |
AI in Predictive Analytics | 20 | Using AI to predict future trends based on historical data. | IBM Watson Analytics (Paid) |
AI for Reporting Automation | 20 | Implementing AI to automate routine reporting tasks and improve accuracy. | Power BI (Paid) |
Hands-on | 60 | Hands-on module on creating and using AI models for data analysis and predictive insights. | Custom Agent Building |
Brief explanation for all the specific AI tools mentioned above:
Tableau with AI Extensions: Enhances the Tableau data visualization tool with AI capabilities to make more data-driven decisions.
IBM Watson Analytics: Provides powerful predictive and visual analytics tools for smarter business decision-making.
Power BI: A business analytics service that provides insights through data aggregation, visualization, and dashboard development.
Getting Started with Power BI for Free | Microsoft Power BI (Free, Paid)
Learning Outcomes: Understand how AI can support governance by enhancing decision-making and maintaining regulatory compliance.
Duration (in hours): 2
Table for Course Outline:
Module Name | Duration (in min) | Module Description | Specific AI Tools Related to the Module |
---|---|---|---|
AI in Strategic Planning | 20 | How AI can aid in formulating and revising strategic plans. | Nasdaq BoardVantage (Paid) |
AI for Compliance Monitoring | 20 | AI tools for monitoring compliance with regulations automatically. | Compliance.ai (Paid) |
AI in Stakeholder Engagement | 20 | Using AI to analyze stakeholder data and improve engagement strategies. | Salesforce Einstein (Paid) |
Hands-on | 60 | Training on implementing AI solutions for governance and compliance issues. | Custom Agent Building |
Brief explanation for all the specific AI tools mentioned above:
Nasdaq BoardVantage, Compliance.ai, Salesforce Einstein: These tools assist in strategic planning, compliance monitoring, and enhancing stakeholder engagement through data-driven AI technologies.
Board Management Software & Portal | Nasdaq Boardvantage
Financial and Regulatory Compliance Software (Paid)
Salesforce Einstein: Artificial Intelligence Software and Tools – Salesforce India
Learning Outcomes: Leverage AI to manage liabilities, adhere to regulations, and fulfill executive responsibilities effectively.
Duration (in hours): 2
Table for Course Outline:
Module Name | Duration (in min) | Module Description | Specific AI Tools Related to the Module |
---|---|---|---|
AI in Liability Management | 20 | Utilizing AI to assess and manage corporate liabilities. | Diligent (Paid) |
AI for Regulatory Compliance | 20 | AI applications for ensuring and simplifying regulatory compliance. | Compliance.ai |
AI for Executive Reporting | 20 | AI tools that automate and enhance the clarity of executive reports. | ThoughtSpot (Paid) |
Hands-on | 60 | Developing custom AI tools for executive decision support. | Custom Agent Building |
Brief explanation for all the specific AI tools mentioned above:
Diligent, Compliance.ai, ThoughtSpot: Focus on managing liabilities, ensuring regulatory compliance, and improving the efficiency and accuracy of executive reporting through AI.
A Modern Governance Company – Diligent | Diligent Corporation
Improvement in resource efficiency
Improvement in executive collaboration
Reduction in risk of costly errors
Improvement in stakeholder satisfaction using AI
Reduction in administrative tasks
Increase in team morale