Description
AI+ Executive (1 Day)
Program Detailed Curriculum
Executive Summary
In this comprehensive program, designed for business leaders, candidates will gain the knowledge and
insights needed to strategically leverage artificial intelligence within your organization. The candidates
will explore real-world use cases, ethical considerations, and the latest AI trends which empowers them
to make informed decisions and lead their organization into an era of AI-driven success..
Course Prerequisites
Business Awareness: Basic understanding of how businesses operate.
Tech Comfort: Openness to learn about AI tools and concepts.
Decision-Making Insight: Some knowledge of how choices are made in organizations.
Openness to AI: Curiosity about the potential of AI in businesses.
Module 1
Understanding Artificial Intelligence (AI)
1.1 Introduction to AI in Business
Business Awareness: Develops understanding of business fundamentals, including strategy, operations, and
finance, empowering professionals to make informed decisions and drive organizational success.
The Scope and Scale of AI Applications: Explores diverse applications of AI across industries, from healthcare to
finance, highlighting its transformative potential and ethical considerations.
1.2 Basic Concepts of AI
Trends in AI: Explores current and emerging trends shaping the field of artificial intelligence, from breakthroughs in
research to practical applications across industries.
Innovations in AI: Investigates cutting-edge advancements in artificial intelligence technologies, including deep
learning, natural language processing, and robotics, driving innovation and transformation.
Business Applications of AI: Examines how artificial intelligence is applied in various business sectors, from
customer service to supply chain optimization, unlocking new opportunities for efficiency and growth.
1.3 History and Evolution of AI in Business
AI’s Historical Milestones: Traces the evolution of artificial intelligence from its origins to contemporary
breakthroughs, highlighting key milestones and their impact on society.
Modern AI Era: Explores recent advancements in artificial intelligence technologies, including deep learning,
reinforcement learning, and neural networks, shaping the current landscape of AI applications.
1.4 Importance of AI in Modern Business Practices
The Transformative Role of AI in Business: Explores how AI reshapes industries, from automation to data analysis,
empowering businesses to innovate and thrive in the digital age.
Case Studies on the Success of AI in Business: Examines real-world examples of AI implementation, showcasing
successful strategies and outcomes across diverse business sectors.
Positive Outlook and Concerns: Investigates the benefits and challenges of AI adoption, balancing optimism with
critical examination of ethical, social, and economic implications.
Module 2
AI Technologies and Business Implications
2.1 Big Data Concepts
Understanding Big Data: Provides insights into the concepts, technologies, and applications of big data, enabling
participants to harness its potential for informed decision-making.
Big Data Challenges and AI Solutions: Explores obstacles in big data management and how AI offers solutions, from
data processing to predictive analytics, fostering efficiency and innovation.
2.2 Machine Learning
Machine Learning: Introduction and Trends: Provides a foundational understanding of machine learning concepts
and explores current trends shaping the field’s development and applications.
Deep Learning: The Next Step: Explores advanced deep learning techniques and architectures, delving into neural
networks, convolutional networks, and recurrent networks for complex data analysis tasks.
Applications of ML and DL: Examines real-world applications of machine learning and deep learning across various
domains, from healthcare and finance to autonomous vehicles and natural language processing.
2.3 Natural Language Processing (NLP) and Chatbots
Understanding NLP: Explores natural language processing (NLP) fundamentals, covering techniques to analyze,
understand, and generate human language, enabling communication with machines.
Rise of LLMs & Applications: Examines the emergence of Large Language Models (LLMs) like GPT-3 and their
applications in natural language processing tasks, revolutionizing AI capabilities.
2.4 Robotics and Automation
Understanding Robotics: Provides a comprehensive overview of robotics, covering principles, components, and
applications, fostering understanding of robotic systems and their capabilities.
Current Trends in Robotics: Explores recent developments and advancements in robotics technology, from
autonomous vehicles to collaborative robots, shaping the future of automation.
Impact of Robotics on Business Operations: Investigates how robotics revolutionizes business operations,
enhancing efficiency, productivity, and safety across industries through automation and intelligent systems.
2.5 AI Tools Demonstration
Demonstrating AI Tools and GenAI Products: Provides hands-on experience with AI tools and GenAI products,
showcasing their features, capabilities, and practical applications.
Key AI Tools for Business: Explores essential AI tools used in business, including machine learning platforms, natural
language processing tools, and computer vision software.
Module 3
AI Strategy for Executives
3.1 Strategic AI Development
Crafting AI Strategies: Guides in developing effective AI strategies, integrating technology to drive innovation,
optimize processes, and achieve organizational goals in diverse business contexts.
Embracing AI for Transformation: Explores leveraging AI for organizational transformation, from enhancing
customer experiences to streamlining operations, fostering agility, and sustaining competitive advantage.
Case Studies: How AI Helped Businesses Grow: Analyzes real-world examples illustrating AI’s transformative impact
on businesses, showcasing successful strategies, challenges, and lessons learned for growth and innovation.
3.2 AI and Business Alignment
Upskilling for the AI Era: Equips individuals with essential skills and knowledge to thrive in the AI-driven workplace,
empowering them for career success and advancement.
AI’s Impact on Talent Management: Explores how AI technologies reshape talent management practices, from
recruitment and training to performance evaluation, optimizing workforce productivity and effectiveness.
Navigating the Future of Work with AI: Examines the evolving landscape of work in the AI era, addressing
opportunities, challenges, and strategies for individuals and organizations to adapt and thrive.
3.3 Measuring AI ROI
Evaluating AI’s Financial and Strategic Impact: Analyzes the financial and strategic implications of AI adoption,
guiding organizations in assessing its value and optimizing its impact on operations.
Best Practices for AI Investment and Value Realization: Explores strategies for effective AI investment,
emphasizing best practices to maximize value realization and ROI across business functions.
Advancing from AI Implementation to Leadership: Equips leaders with skills and insights to lead AI-driven
initiatives effectively, fostering innovation, organizational transformation, and sustainable growth in the digital age.
Module 4
Ethical, Legal, and Societal Considerations
4.1 Ethics in AI
Human Oversight and Ethical AI: Emphasizing human judgment in AI systems to ensure ethical considerations are
maintained, based on UNESCO’s global standards on AI ethics.
Translating Ethical Principles into Practice: Discussing how global AI ethics standards can be practically applied
within various cultural and political contexts and addressing future ethical challenges as AI advances.
4.2 AI and Privacy Laws
Balancing Innovation with Legal and Ethical Responsibilities: Investment in AI with robust model governance to
comply with regulations and maintain a balance between innovation and ethical responsibilities.
Navigating the EU’s AI Act: Understanding the EU AI Act’s focus on data quality, transparency, human oversight,
and the categorization of AI systems by risk to ensure ethical AI deployment.
4.3 AI Governance
Investments and Model Governance: The importance of continued investment in AI governance to comply with
regulations, and the prediction of future trends in AI technologies and their applications in various sectors.
Implementation Challenges and Sector-Specific Regulations: The EU AI Act’s approach to AI governance,
addressing ethical questions and sector-specific implementation challenges.
Module 5
Managing AI Projects
5.1 AI Project Management
AI’s Role in Enhancing Project Management: Exploring AI’s application in project management, from automating
tasks to augmenting decision-making, and the need for project managers to adapt to AI advancements.
Adopting AI in Project Methodologies: Encouraging proactive integration of AI into project management
methodologies for enhanced efficiency and relevance in an AI-driven world.
Frameworks for AI Project Evaluation and Management: Presenting strategies for automation, assistance, and
augmentation in AI projects, and developing AI-related skills using frameworks like the PMI Talent Triangle®.
5.2 Leading AI Teams
Building Effective AI Teams: Leveraging AI for strategic advantage in team management while addressing ethical
considerations and balancing automation with human oversight.
5.3 Case Study Analysis
AI Project Case Studies: Real-world examples of AI in project management, demonstrating AI’s impact on
efficiency, decision-making, and resource allocation across various industries.
Module 6
AI and the Future of Work
6.1 Impact on the Workforce
AI as a Net Job Creator: Discussion on AI’s potential to create jobs, with an emphasis on reskilling and upskilling to
meet evolving job market demands.
6.2 Skills for the AI Era
Prioritizing AI and Big Data Skills: Highlighting the necessity for AI and big data skills in the workforce, particularly
for larger companies.
6.3 Future Trends in AI
Recommendations for Sustained AI-Driven Innovation in Organizations: Offers strategies to foster continuous
innovation, enabling organizations to thrive in the evolving landscape of AI technology.
Module 7
Department-Specific AI Applications
7.1 Finance and Accounting
Explore how AI enhances financial accuracy and efficiency, focusing on predictive analytics, fraud detection, and
automated accounting processes.
7.2 Marketing and Sales
Learn to leverage AI for customer insights, personalized marketing strategies, predictive sales analytics, and
improving customer engagement through automation.
7.3 Human Resources
Discover AI’s role in transforming HR practices including recruitment automation, employee data analysis,
performance management, and personalized employee experiences.
Module 8
Interactive Workshop
8.1 AI Integration Planning
Effective Strategies for AI Integration in Business: Discussing how businesses can leverage AI to automate tasks,
uncover data patterns, and gain insights, along with practical approaches and real-world examples for effective AI
integration.
Navigating New Frontiers in AI Governance: Highlighting the importance of developing robust governance
frameworks to navigate AI challenges and opportunities, emphasizing ethical considerations and the need for
global collaboration.
Crafting a Successful AI Strategy for Business: Exploring AI as a transformative catalyst in business and
suggesting a phased approach for its integration to enhance processes, discover new opportunities, and drive
innovation.
8.2 Workshop Activities
AI Tools Demonstrations: Showcases various AI tools, providing hands-on experience and insights into their
functionalities, applications, and potential benefits for businesses and individuals.
AI+ Executive Exam Detailed Curriculum
Date Issued: 1/10/2024
Version: 1.1
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