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Josh Bernhard ,
Luis Serrano,
and
William Ross
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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!
Read more
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!
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause 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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Reviews summary
Practical ai for strategic business leaders
According to students, "AI for Business Leaders" is a highly practical and well-structured course that provides a clear understanding of AI/ML concepts for a business context. Learners particularly praise the focus on real-world applications and the actionable insights provided. The instructor's expertise and ability to explain complex topics clearly are frequently highlighted as a major strength. While the course offers a solid foundational understanding, some suggest it's best for those with at least a basic data literacy. The capstone project is seen as a valuable experience for applying learned skills. It's considered highly relevant for professionals seeking to strategize with AI.
The final project provides practical experience in AI strategy.
"The final project, creating an AI roadmap for my own business, was incredibly valuable. It solidified everything I learned."
"Applying the concepts to a business of my choice in the final project was a fantastic way to internalize the material."
"The project challenged me to think strategically about AI deployment, making the learning highly practical."
Complex AI/ML concepts are simplified for non-technical audiences.
"The instructor is fantastic! Explains complex topics clearly and makes them relatable to business scenarios."
"It explains complex AI concepts in an easy-to-understand way, focusing on strategy rather than deep tech."
"I appreciated how the course demystified AI, breaking down intimidating concepts into digestible information."
Focuses on real-world AI use cases for business leaders.
"This course is a must for business leaders who want to understand AI. It’s practical, well-structured, and gives actionable insights."
"Highly recommend this course for anyone in business needing to understand the strategic implications of AI. The content is directly applicable."
"I found the focus on use cases and building an AI roadmap was exactly what I needed for my role."
Learners benefit from a foundational understanding of data concepts.
"Good starting point, but requires a certain level of basic data understanding. Not for someone completely new to data concepts."
"While explanations are clear, having some familiarity with data terminology made absorbing the concepts much easier."
"I found it helpful to have a basic grasp of data principles before diving in, though the course does a good job explaining them."
Course is strategic for leaders, not a deep technical dive for engineers.
"This course was a complete waste of time. It's too superficial and doesn't offer any real technical depth. If you're a data scientist, you'll find it basic."
"It's a great overview, but don't expect to become an AI engineer. It's for leaders to understand and strategize."
"I quickly realized this course focuses on strategic understanding for business, not coding or detailed algorithms, which was perfect for me."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in AI for Business Leaders with these
activities:
Read 'Artificial Intelligence for Dummies'
Show steps
Gain a comprehensive overview of AI and ML concepts in a beginner-friendly format, expanding your foundational knowledge.
View
Artificial Intelligence For Dummies (For...
on Amazon
Show steps
Review the basics of probability and statistics
Show steps
Refresh your foundational knowledge in probability and statistics, which are essential for understanding AI/ML concepts.
Browse courses on
Probability
Show steps
-
Revisit the concepts of probability distributions, central limit theorem, and hypothesis testing.
-
Solve practice problems to reinforce your understanding.
Follow a tutorial on building a chatbot using natural language processing (NLP)
Show steps
Explore the practical applications of AI/ML by building a chatbot that interacts with users using natural language.
Browse courses on
Natural Language Processing
Show steps
-
Find a tutorial on chatbot development using NLP.
-
Follow the tutorial step-by-step to build your chatbot.
-
Test and refine your chatbot's performance.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Summarize key concepts from each lesson
Show steps
Reinforce your understanding of the core principles discussed in the lessons by actively summarizing and organizing the material.
Browse courses on
Artificial Intelligence
Show steps
-
Review the lesson content and identify key concepts.
-
Write a brief summary of each concept, highlighting its significance.
Practice implementing ML/AI algorithms in Python
Show steps
Develop proficiency in implementing ML/AI algorithms using Python, the industry-standard language for data science.
Browse courses on
Python
Show steps
-
Choose a dataset and define the ML/AI problem.
-
Select appropriate Python libraries and algorithms.
-
Implement the ML/AI algorithm in Python.
-
Evaluate the performance of your implementation.
Design an infographic illustrating the ML/AI project roadmap
Show steps
Enhance your understanding of the practical steps involved in developing an AI/ML project by visualizing it in an infographic.
Browse courses on
Project Planning
Show steps
-
Identify the key stages of the project roadmap.
-
Choose appropriate visuals and design elements to represent each stage.
-
Create a visually engaging and informative infographic.
Develop a small-scale, end-to-end AI/ML application
Show steps
Build hands-on experience with the fundamentals of AI/ML, applying your theoretical knowledge to a practical setting.
Browse courses on
Artificial Intelligence
Show steps
Read 'Artificial Intelligence for Dummies'
Show steps
Gain a comprehensive overview of AI and ML concepts in a beginner-friendly format, expanding your foundational knowledge.
View
Artificial Intelligence For Dummies (For...
on Amazon
Show steps
Show steps
Show steps
Review the basics of probability and statistics
Show steps
Refresh your foundational knowledge in probability and statistics, which are essential for understanding AI/ML concepts.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Revisit the concepts of probability distributions, central limit theorem, and hypothesis testing.
- Solve practice problems to reinforce your understanding.
Follow a tutorial on building a chatbot using natural language processing (NLP)
Show steps
Explore the practical applications of AI/ML by building a chatbot that interacts with users using natural language.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Find a tutorial on chatbot development using NLP.
- Follow the tutorial step-by-step to build your chatbot.
- Test and refine your chatbot's performance.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Summarize key concepts from each lesson
Show steps
Reinforce your understanding of the core principles discussed in the lessons by actively summarizing and organizing the material.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Review the lesson content and identify key concepts.
- Write a brief summary of each concept, highlighting its significance.
Practice implementing ML/AI algorithms in Python
Show steps
Develop proficiency in implementing ML/AI algorithms using Python, the industry-standard language for data science.
Browse courses on
Python
Show steps
Show steps
Show steps
- Choose a dataset and define the ML/AI problem.
- Select appropriate Python libraries and algorithms.
- Implement the ML/AI algorithm in Python.
- Evaluate the performance of your implementation.
Design an infographic illustrating the ML/AI project roadmap
Show steps
Enhance your understanding of the practical steps involved in developing an AI/ML project by visualizing it in an infographic.
Browse courses on
Project Planning
Show steps
Show steps
Show steps
- Identify the key stages of the project roadmap.
- Choose appropriate visuals and design elements to represent each stage.
- Create a visually engaging and informative infographic.
Develop a small-scale, end-to-end AI/ML application
Show steps
Build hands-on experience with the fundamentals of AI/ML, applying your theoretical knowledge to a practical setting.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
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 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 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 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.
Product Manager
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 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.
Management Consultant
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.
Data Engineer
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.
Business Analyst
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 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.
IT Manager
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.
Financial Analyst
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.
Business Development Manager
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.
Product Marketing Manager
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.
Risk Manager
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 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.
For more career information including salaries, visit:
OpenCourser.com/course/4wt5xb/ai
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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4wt5xb/ai
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