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AI for Business Leaders

Josh Bernhard , Luis Serrano, and William Ross
The AI for Business Leaders program is designed for those looking to deepen their understanding of Artificial Intelligence and the innovations in the field of Machine Learning that have driven its recent progress. The program is designed to arm students with...
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The AI for Business Leaders program is designed for those looking to deepen their understanding of Artificial Intelligence and the innovations in the field of Machine Learning that have driven its recent progress. The program is designed to arm students with a deep but approachable knowledge of how these systems work and what it takes to put them into practice. Throughout the program, we’ll follow a fictitious retailer in order to gain practice in making discriminating judgements on what AI use cases might be best for a given business at a given point in time. In the final project, students will replicate this experience, applying a similar series of exercises to a business of their choosing.

What's inside

Syllabus

We’ll begin studying machine learning and artificial intelligence. You’ll develop an understanding of their potential and the language to talk about AI and ML with your team, and build your first model!
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This lesson will take a deeper dive into AI and ML techniques using a data-first perspective. We’ll also explore the mathematical underpinnings of how ML models learn.
This lesson focuses on capabilities and architectures commonly used in ML/AI systems, and develops student skills with building these architectures, including the data, capabilities, and user layers.
Machine Learning is a data-hungry process. In this lesson, we’ll talk about some of the more operational elements of building ML and AI systems, namely data labeling and infrastructure management.
What does it mean for a model to be useful? In this lesson, we’ll explore topics like accuracy and precision as well as model overfit and underfit, to figure out ways to assess a model’s usefulness.
Building support for an AI/Machine Learning project is an important part of the journey. We’ll talk about best practices for clearly understanding the priorities of your business and communicating how AI/ML can help to advance them.
Many times, progress with ML/AI requires a business to execute several projects in parallel. In this lesson, we’ll talk about how to bring use cases together to form a greater whole.
In this project, you will apply all the skills you’ve learned in the lessons to develop a strategic ML/AI roadmap. You may choose to work on your own business, or in a fictitious context we provide.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Describes real-world examples of AI use cases, making the topic relatable and applicable
Emphasizes practical skills through hands-on exercises, fostering an active learning environment
Led by experienced instructors with a proven track record in the field, ensuring high-quality content
Guided through a comprehensive curriculum covering fundamental concepts and advanced techniques
Suitable for individuals with varying backgrounds, offering a balance of foundational and specialized knowledge

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Activities

Coming soon We're preparing activities for AI for Business Leaders. These are activities you can do either before, during, or after a course.

Career center

Learners who complete AI for Business Leaders will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers develop, deploy, and maintain ML models, ensuring that they perform as expected. Course participants in the AI for Business Leaders program will find that this coursework provides a strong foundation in the development, testing, and deployment of ML models. Concepts such as data labeling, model overfitting, and model underfitting are critical knowledge areas for Machine Learning Engineers in any industry. Additionally, the focus on the business applications of AI in this program will set learners apart in a competitive job market.
Data Scientist
Data Scientists gather, analyze, interpret, and present data in order to help businesses make informed decisions. As AI becomes more popular, it is being used to enhance and automate many of these processes. Course participants who plan to work as Data Scientists will find the AI for Business Leaders program particularly useful, as it helps build a foundation in AI and ML technologies that can be applied directly to roles and responsibilities in this field. Additionally, many Data Scientists work with cross-functional teams including business leaders, so exposure to the perspectives and priorities of business leaders in this course will be especially valuable.
Quantitative Analyst
Quantitative Analysts use advanced technologies and mathematic techniques to analyze quantitative data for a variety of functions such as risk management, trading strategies and financial modeling. The AI for Business Leaders program could be especially useful for anyone aspiring to be a Quantitative Analyst, as it provides a foundation in the development and application of AI and ML models, which are essential tools for this role. Coursework in machine learning, data labeling, and model assessment provide skills that can lead directly to success in this role.
Management Consultant
Management Consultants provide advice and guidance to organizations on a wide range of business issues, including strategy, operations, and technology. The AI for Business Leaders program could be especially useful for Management Consultants, as it provides a strong foundation in the business applications of AI and ML technologies. Course participants will benefit from exposure to the strategic planning and management of AI projects, as well as the perspectives and priorities of business leaders, which will prepare them to advise clients on the adoption and implementation of AI solutions.
Product Manager
Product Managers are responsible for developing and launching new products or features, and typically work closely with teams across an organization, including business leaders, engineers, and marketers. The AI for Business Leaders program can be especially useful for aspiring Product Managers who plan to work with AI-powered products or services, as it provides a broad understanding of AI fundamentals, applications, and business value. Course participants will benefit from exposure to the strategic planning and management of AI projects, as well as the perspectives and priorities of business leaders, which will prepare them to succeed in this role.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex business problems, often involving the optimization of processes and resources. The AI for Business Leaders program could be especially useful for Operations Research Analysts, as it provides a strong foundation in the use of data and analytical techniques to make informed decisions. Course participants will benefit from exposure to the business applications of AI, as well as the perspectives and priorities of business leaders, which will prepare them to apply their skills to real-world business problems.
Product Marketing Manager
Product Marketing Managers are responsible for developing and executing marketing strategies for new products or services. The AI for Business Leaders program can be especially useful for aspiring Product Marketing Managers, as it will help them understand the potential of AI and ML technologies to create new products and services. Course participants will benefit from exposure to the strategic planning and management of AI projects, as well as the perspectives and priorities of business leaders, which will prepare them to develop and execute successful marketing campaigns.
Business Analyst
Business Analysts work with stakeholders to understand business needs and translate those needs into technical requirements, which are then used to guide software development and implementation. The AI for Business Leaders program can be especially useful for Business Analysts who plan to support projects involving AI or ML technologies, as it will help them develop the vocabulary and knowledge needed to communicate effectively with technical teams and stakeholders. Additionally, this course places special emphasis on the business applications of AI, so Business Analysts can prepare for their role advising business leaders on how to evaluate and implement AI solutions.
Data Architect
Data Architects design, build, and maintain data architectures, ensuring that data is organized and accessible to meet the needs of the business. The AI for Business Leaders program can help prepare individuals for the role of a Data Architect, as it provides a broad understanding of data management and the use of AI and ML technologies to improve data quality, security, and accessibility. Course participants will benefit from exposure to the strategic planning and management of AI projects, as well as the perspectives and priorities of business leaders, which will prepare them to succeed in this role.
Financial Analyst
Financial Analysts provide financial advice and guidance to individuals and organizations. The AI for Business Leaders program could be especially useful for Financial Analysts, as it provides a strong foundation in the use of data and analytical techniques to make informed decisions. Course participants will benefit from exposure to the business applications of AI, as well as the perspectives and priorities of business leaders, which will prepare them to apply their skills to real-world business problems.
Data Engineer
Data Engineers design, build, and maintain data pipelines that collect, process, and store data. The AI for Business Leaders program can be especially useful for aspiring Data Engineers, as it will help them understand the potential of AI and ML technologies to improve data management practices. Course participants will benefit from exposure to the strategic planning and management of AI projects, as well as the perspectives and priorities of business leaders, which will prepare them to lead data engineering teams in the adoption and implementation of AI solutions.
IT Manager
IT Managers plan, implement, and manage the IT infrastructure of an organization. The AI for Business Leaders program can be especially useful for aspiring IT Managers, as it will help them understand the potential of AI and ML technologies to improve IT operations and better support the business. Course participants will benefit from exposure to the strategic planning and management of AI projects, as well as the perspectives and priorities of business leaders, which will prepare them to lead IT teams in the adoption and implementation of AI solutions.
Business Development Manager
Business Development Managers are responsible for generating new business opportunities for their organizations. The AI for Business Leaders program can be especially useful for aspiring Business Development Managers, as it will help them understand the potential of AI and ML technologies to create new products and services. Course participants will benefit from exposure to the strategic planning and management of AI projects, as well as the perspectives and priorities of business leaders, which will prepare them to identify and pursue new business opportunities.
Risk Manager
Risk Managers identify, assess, and mitigate risks to an organization. The AI for Business Leaders program may be especially useful for aspiring Risk Managers, as it will help them understand the potential of AI and ML technologies to improve risk management practices. Course participants will benefit from exposure to the strategic planning and management of AI projects, as well as the perspectives and priorities of business leaders, which will prepare them to lead risk management teams in the adoption and implementation of AI solutions.
Software Engineer
Software Engineers design, develop, test, and maintain software systems. The AI for Business Leaders program may be especially useful for Software Engineers who plan to work with AI or ML technologies, as it provides a strong foundation in the fundamentals of these technologies. Course participants will benefit from exposure to the business applications of AI, as well as the perspectives and priorities of business leaders, which will prepare them to build software solutions that meet the needs of the business.

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in AI for Business Leaders.
Comprehensive textbook on deep learning. It provides a detailed overview of the field, including its history, different types of deep learning, and potential applications. It good resource for those who want to understand the theoretical foundations of deep learning.
Provides a comprehensive overview of machine learning, with a focus on its probabilistic foundations. It covers the basics of machine learning, as well as how to apply machine learning to solve real-world problems. It good resource for those who want to understand the theoretical foundations of machine learning.
Provides a practical introduction to machine learning for business professionals. It covers the basics of machine learning, as well as how to apply machine learning to solve business problems.
Provides a comprehensive overview of artificial intelligence, with a focus on its systems approach. It covers the basics of AI, as well as how to apply AI to solve real-world problems. It good resource for those who want to understand the theoretical foundations of AI.
Provides a comprehensive overview of artificial intelligence, with a focus on its foundations and applications. It covers the basics of AI, as well as how to apply AI to solve real-world problems. It good resource for those who want to understand the theoretical foundations of AI.
Classic textbook on reinforcement learning. It provides a comprehensive overview of the field, including its history, different types of reinforcement learning, and potential applications. It good resource for those who want to understand the theoretical foundations of reinforcement learning.
Provides a comprehensive overview of deep learning for natural language processing. It covers the basics of deep learning, as well as how to apply deep learning to solve natural language processing problems. It good resource for those who want to understand the theoretical foundations of deep learning.
Provides a practical introduction to deep learning with Python. It covers the basics of deep learning, as well as how to apply deep learning to solve real-world problems. It good resource for those who want to get started with deep learning quickly.
Provides a practical introduction to reinforcement learning with Python. It covers the basics of reinforcement learning, as well as how to apply reinforcement learning to solve real-world problems. It good resource for those who want to get started with reinforcement learning quickly.
Provides a comprehensive overview of artificial intelligence, including its history, different types of AI, and potential applications. It good resource for those who want to understand the basics of AI without getting too technical.
Provides a practical introduction to machine learning for programmers. It covers the basics of machine learning, as well as how to apply machine learning to solve real-world problems. It good resource for those who want to get started with machine learning quickly.
Provides a gentle introduction to deep learning, a type of machine learning that has become increasingly popular in recent years. It good resource for those who want to understand the basics of deep learning without getting too mathematical.

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