Generative AI & Predictive AI for CXOs & Sr. Managers from Udemy

Recent updates:. Added case studies (offered as assignments) that reflect the current challenges of the industry for AI deployments. Added video lectures on RAG & Agentic AI

Welcome to the program on Generative AI & Predictive AI for CxO's and Sr. Managers.

Everywhere you look, from global headlines to bustling startups, the impact of AI and Machine Learning is undeniable. Especially after the buzz surrounding revolutionary advancements like ChatGPT, there's no longer any doubt: we're in the age of AI.

Ever felt overwhelmed by the storm of terminologies like Large Language Models (LLM), Machine Learning, Generative AI, Transformers, or Strong vs. Weak AI? Or felt that gnawing concern that your competitors might be leveraging AI in ways you haven’t tapped into yet? This course is the remedy to your FOMO (fear of missing out).

Dive in with us as we:

Demystify the realms of AI and ML, differentiating between the potent powers of Strong vs. Weak AI.
Discuss the foundational algorithms such as regression and classification, and learn to assess their accuracy
Unearth the secret sauce behind Generative AI and Large Language Models (ChatGPT) - the captivating world of transformers.
Highlight the technological catalysts, from Big Data to cloud innovations, that are accelerating the AI boom.
Navigate through real-world case studies in machine learning, unveiling success stories in fraud detection, demand planning, anomaly detection, predictive maintenance, customer experience and more.
Explore how models think with 'Explainable AI (XAI)' – As users demand insight & visibility into machine decisions, XAI empowers you to bridge the gap between human intuition and algorithmic reasoning.
Discuss the pressing concerns surrounding Generative AI, its implications on privacy and how to overcome the privacy challenges.
Create your own custom LLM web applications to leverage your knowledge repository.
Conclude with cutting-edge insights on Robotic Process Automation and the wonders of AutoML via Google Vertex.

But that's not all:

The technical content is meticulously curated to be as non-technical as possible, making it accessible to leaders from all backgrounds.
The course is led by an industry stalwart who has managed Technology, Operations and Strategy in large MNCs and nimble startups. He is the Founder and CEO of an AI startup (SeaportAi).
Recognizing the dynamic nature of AI, this course remains a live document. Continuously updated to keep stride with AI’s swift-paced advancements, it has successfully run for over 2 years, boasting nearly 11k enthused learners.

Equip yourself with the knowledge that could redefine your strategic direction. Stay not just relevant, but pioneering, in today's rapidly evolving tech landscape. Join us, and be the AI-savvy leader your organization needs.

Testimonials:

"The course was well explained by the instructor. All the concepts were taught in an easily understandable way. "

"Great course. Gave me a solid foundation and helped to clear up some of my confusion."

"Very Well Explained with real examples . "

"Very informative course and shows reality of science to human life."

"The distinction between technologies was explained clearly. Liked the examples."

"Before this course, I thought AI, RPA and Industry 4.0 are all same. This course clarified these jargon to me. Overall good course."

What's inside

Learning objectives

What is generative ai
What is large language model (llm)
Is chatgpt strong ai or weak ai
Why ai deployments have risen in the last 10 years
What are the core algorithms in ai
What is machine learning and how is that related to ai
What are the privacy challenges in generative ai
How to address privacy challenges of chatgpt
Is rpa really ai

What is prompt engineering
What are the top use cases of machine learning
Where should i focus my efforts
What is agentic ai
What is rag
What are the needs for ethics and governance in ai
Show more
Show less

What is generative ai
What is large language model (llm)
Is chatgpt strong ai or weak ai
Why ai deployments have risen in the last 10 years
What are the core algorithms in ai
What is machine learning and how is that related to ai
What are the privacy challenges in generative ai
How to address privacy challenges of chatgpt
Is rpa really ai
What is prompt engineering
What are the top use cases of machine learning
Where should i focus my efforts
What is agentic ai
What is rag
What are the needs for ethics and governance in ai
Show more
Show less

Syllabus

Introduction

Context Setting

Steve Jobs Predicted ChatGPT in the 80s

Strong AI Vs Weak AI

Big Data and AI are same technologies

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores the strategic implications of AI, which is crucial for leaders aiming to integrate AI into their organizational strategies and decision-making processes

Covers the ethical and governance aspects of AI, which is essential for responsible AI implementation and compliance with evolving regulations and societal expectations

Includes case studies on AI applications across various industries, which helps senior managers understand the practical applications and potential benefits of AI in their respective fields

Discusses the challenges in AI and RPA deployments, which prepares senior managers for the potential hurdles and complexities involved in implementing AI solutions within their organizations

Teaches how to create custom LLM web applications, which allows learners to leverage their knowledge repository and build AI-powered solutions tailored to their specific needs

Requires no coding, which makes it accessible to leaders from all backgrounds and allows them to focus on the strategic aspects of AI rather than technical details

Reviews summary

Ai & ml overview for business leaders

According to learners, this course provides a largely positive introduction to Generative AI and Predictive AI specifically tailored for CXOs and Senior Managers. Students praise the course's ability to demystify complex concepts like LLMs and Transformers, presenting them in a clear and non-technical manner. The inclusion of relevant business case studies and focus on strategic applications, privacy, and ethics is highlighted as particularly valuable. Recent updates covering topics like RAG and Agentic AI are seen as keeping the course current. While the course is found to be an excellent overview and foundation for leaders, a small number of students mentioned it might be too high-level if they already have some familiarity with AI jargon, suggesting a desire for more depth on strategic implementation or ROI measurement.

Includes current topics like RAG and Agentic AI.

"The RAG and Agentic AI additions were helpful and timely."

"Good to see recent advances included."

Perfect introduction for managers and executives.

"Great overview for execs."

"Exactly what I needed as a manager."

"Now feel much more confident discussing AI strategies."

"Ideal for leaders wanting a strategic perspective."

Useful case studies and strategic insights.

"Very Well Explained with real examples."

"Loved the business case studies."

"Covered key areas... and practical applications effectively."

"The case studies provided good context."

Makes complex AI concepts easy to grasp.

"All the concepts were taught in an easily understandable way."

"Demystified complex terms."

"Explains AI concepts clearly without getting bogged down in code."

"Made AI approachable for me as a manager."

Could offer more on implementation or ROI.

"Would have liked a bit more on measuring ROI."

"Expected a little more depth on strategic implementation challenges."

May be too basic for those with prior AI knowledge.

"Found it a bit basic in parts... Expected a little more depth."

"Too high-level... Mostly definitions I could have googled."

"Maybe better for absolute beginners, not senior managers already dabbling."

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 Generative AI & Predictive AI for CXOs & Sr. Managers with these activities:

Review Core Machine Learning Algorithms

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Solidify your understanding of fundamental machine learning algorithms like regression, classification, and clustering. This will provide a strong base for understanding the more advanced AI concepts covered in the course.

Browse courses on Regression

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Review the definitions and applications of each algorithm.
Work through simple examples to understand how they work.
Identify real-world scenarios where each algorithm is applicable.

Read 'AI Superpowers: China, Silicon Valley, and the New World Order'

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Gain a broader perspective on the global AI landscape and the strategic implications for businesses. This book will help you understand the competitive dynamics and potential disruptions caused by AI.

View AI Superpowers (International Edition) on Amazon

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Read the book, focusing on the chapters related to industry applications.
Reflect on how the trends discussed in the book might impact your organization.
Discuss the book's key takeaways with colleagues or peers.

Develop a Proof-of-Concept Generative AI Application

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Apply your knowledge by building a simple application using generative AI. This hands-on experience will solidify your understanding of the technology and its potential applications.

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Identify a specific problem or use case within your organization.
Choose a generative AI tool or platform (e.g., ChatGPT API, Google Vertex AI).
Develop a basic application that addresses the chosen problem.
Evaluate the results and identify areas for improvement.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Follow a Tutorial on Building a Custom ChatGPT-like App

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Gain practical experience by following a step-by-step tutorial on building a custom ChatGPT-like application. This will reinforce your understanding of the underlying technologies and techniques.

Show steps

Find a reputable tutorial on building a custom ChatGPT-like app.
Follow the tutorial carefully, paying attention to each step.
Troubleshoot any issues that arise during the process.
Customize the application to meet your specific needs.

Write a Blog Post on AI Ethics and Governance

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Deepen your understanding of AI ethics and governance by researching and writing a blog post. This will force you to synthesize information and articulate your thoughts on this critical topic.

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Research current ethical considerations and governance frameworks in AI.
Outline the key points you want to cover in your blog post.
Write a draft of your blog post, focusing on clarity and conciseness.
Edit and revise your blog post, ensuring accuracy and coherence.
Publish your blog post on a platform like LinkedIn or Medium.

Read 'Life 3.0: Being Human in the Age of Artificial Intelligence'

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Explore the long-term societal implications of AI and consider the ethical considerations surrounding its development and deployment. This book will help you think critically about the future of AI and its impact on humanity.

View Life 3.0: Being Human in the Age of Artificial... on Amazon

Show steps

Read the book, paying attention to the chapters on ethics and societal impact.
Reflect on the potential risks and benefits of AI discussed in the book.
Discuss the book's key themes with colleagues or friends.

Prepare a Presentation on AI Use Cases in Your Industry

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Solidify your understanding of AI applications by researching and presenting on relevant use cases in your specific industry. This will help you identify opportunities for AI adoption within your organization.

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Research AI use cases that are relevant to your industry.
Select 3-5 compelling use cases to highlight in your presentation.
Create a presentation deck with clear and concise slides.
Practice your presentation to ensure a smooth delivery.
Present your findings to your team or colleagues.

Career center

Learners who complete Generative AI & Predictive AI for CXOs & Sr. Managers will develop knowledge and skills that may be useful to these careers:

AI Strategist

An AI Strategist develops and executes an organization's artificial intelligence strategy. This course helps build a strong foundation in both generative and predictive AI. The course covers core algorithms, large language models, and real-world case studies. This course provides an understanding of AI ethics and governance. This helps the AI Strategist make informed decisions about AI investments and deployments. An AI Strategist will be well-equipped to guide their organization's journey in the age of AI.

See salaries and explore the career path for AI Strategist

Chief Technology Officer

A Chief Technology Officer guides an organization's technological vision, strategy, and implementation. For a CxO, understanding the transformative potential of AI is paramount. This course, tailored for senior managers, offers an accessible understanding of AI and machine learning. It demystifies complex concepts such as large language models and generative AI. The course also covers practical applications through real-world case studies in fraud detection and customer experience, helping a future Chief Technology Officer make informed decisions about AI investments and deployments. Also, the course covers emerging areas such as robotic process automation and AutoML.

See salaries and explore the career path for Chief Technology Officer

Executive Director

An Executive Director is the chief administrator of an organization. The course is valuable for someone who holds this role, as it offers an accessible overview of generative and predictive AI, tailored for senior managers. The course helps an Executive Director comprehend the transformative potential of AI and machine learning. By demystifying concepts such as large language models and covering real-world case studies, an Executive Director can make informed decisions about AI investments and deployments. Also, the course covers emerging areas such as robotic process automation and AutoML.

See salaries and explore the career path for Executive Director

Data Science Manager

A Data Science Manager leads a team of data scientists, guiding the development and deployment of machine learning models. This course helps a Data Science Manager stay current on the latest advancements in AI. The course provides insights into generative AI, large language models, and transformers. Using case studies in areas such as demand planning and anomaly detection, it further illustrates the practical applications of machine learning, which helps one to manage a data science team effectively. For a Data Science Manager, staying abreast of explainable AI and AI ethics is critical to ensure responsible and transparent AI practices.

See salaries and explore the career path for Data Science Manager

Business Intelligence Analyst

A Business Intelligence Analyst analyzes data to identify trends and insights that can improve business decision-making. This course is for professionals looking for practical insights into AI. By exploring topics such as machine learning algorithms, explainable AI, and AutoML, the course equips Business Intelligence Analysts with tools to enhance their data analysis capabilities. The course helps Business Intelligence Analysts use AI to derive actionable insights and improve decision-making processes. This may also help such an analyst be more efficient and effective.

See salaries and explore the career path for Business Intelligence Analyst

Management Consultant

A Management Consultant advises organizations on how to improve their performance and efficiency. The concepts introduced in this course are directly correlated with this career path. Because the course provides a broad overview of AI and machine learning, management consultants are better able to advise clients on AI strategies and implementations. The real-world case studies covered in the course are also very useful. Discussing developments in AI, big data, and cloud solutions helps a Management Consultant assist their clients to make informed decisions about AI investments.

See salaries and explore the career path for Management Consultant

Product Manager

A Product Manager oversees the strategy, roadmap, and feature definition for a product. Staying ahead of the curve in AI is crucial for today's product managers. This course offers insights into generative AI, large language models, and their applications. The course covers real-world case studies in customer experience and anomaly detection. This course helps Product Managers identify opportunities to integrate AI into their products for enhanced functionality and user experience. The course is designed to be accessible and practical, making it ideal for product managers from various backgrounds.

See salaries and explore the career path for Product Manager

Financial Analyst

Financial Analysts analyze financial data and provide insights to guide investment decisions. This course is very useful, as it covers the use of AI in areas such as fraud detection and demand planning. By understanding these applications, Financial Analysts can integrate AI-driven insights into their financial models and forecasts. The course explains explainable AI, which can prove invaluable for validating AI driven investment decisions. This course helps Financial Analysts make more informed decisions and improve the accuracy of their financial analyses.

See salaries and explore the career path for Financial Analyst

Digital Transformation Consultant

Digital Transformation Consultants guide organizations through the process of adopting digital technologies to improve their operations. This course offers a high-level overview of generative and predictive AI, providing insights into the power of AI and machine learning. By explaining the concepts of large language models and covering real-world case studies, the course empowers a Digital Transformation Consultant to recommend AI solutions that drive efficiency and innovation. This course is valuable for consultants who need to advise clients on AI adoption.

See salaries and explore the career path for Digital Transformation Consultant

Operations Manager

An Operations Manager oversees the day-to-day activities of an organization to ensure efficiency and effectiveness. This course is helpful, as it covers real-world case studies in areas such as predictive maintenance and anomaly detection. Operations Managers can leverage these insights to implement AI-driven solutions that optimize processes, reduce costs, and improve overall performance. The course also covers robotic process automation which is invaluable to improving business processes. This course equips Operations Managers with the knowledge to drive operational excellence through AI.

See salaries and explore the career path for Operations Manager

Innovation Manager

An Innovation Manager is responsible for identifying and implementing innovative solutions within an organization. This course may be useful for them, as it explores the technological catalysts driving the AI boom, such as big data and cloud innovations. The course dives into real-world case studies and covers subjects like robotic process automation. By understanding the current state and potential of AI, an Innovation Manager can lead initiatives that leverage these technologies to drive business value. The course emphasizes practical applications and accessibility, making it ideal for innovation managers seeking to integrate AI into their strategies.

See salaries and explore the career path for Innovation Manager

Supply Chain Analyst

A Supply Chain Analyst optimizes the flow of goods and services from suppliers to customers. This course, designed to give senior managers and others an overview of AI, may be useful. It explores the use of machine learning and AI. The course covers real-world case studies in areas such as demand planning and predictive maintenance, which are directly relevant to supply chain management. A Supply Chain Analyst can apply this knowledge to improve forecasting accuracy, optimize inventory levels, and reduce costs. This course can help advance their data analysis capabilities.

See salaries and explore the career path for Supply Chain Analyst

Market Research Analyst

A Market Research Analyst studies market conditions to examine potential sales of a product or service. For a Market Research Analyst, staying updated on the latest trends in AI is essential, and this course helps make that possible. This course provides valuable insights into the transformative potential of AI and machine learning. It covers real-world case studies in areas such as customer segmentation and demand planning. A Market Research Analyst can leverage this knowledge to better understand consumer behavior, identify market opportunities, and develop effective marketing strategies.

See salaries and explore the career path for Market Research Analyst

Business Development Manager

A Business Development Manager focuses on identifying and pursuing new business opportunities. Understanding the latest trends in AI is vital for Business Development Managers. This course offers insights into generative AI, large language models, and their applications. It covers real-world case studies and subjects like robotic process automation. It helps Business Development Managers identify new markets, partnerships, and product offerings related to AI. The accessible and practical nature of the course makes it an ideal resource for busy professionals.

See salaries and explore the career path for Business Development Manager

Healthcare Administrator

Healthcare Administrators manage and coordinate healthcare services within a medical facility or system. Understanding the potential of AI in healthcare is important for Healthcare Administrators. This course may be useful, as it touches on the applications of AI in various industries. The course covers topics such as anomaly detection and natural language processing, which might enhance clinical decision-making and improve patient outcomes. This course provides Healthcare Administrators with an understanding of the latest AI trends, enabling them to drive innovation.

See salaries and explore the career path for Healthcare Administrator

Reading list

We've selected two 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 Generative AI & Predictive AI for CXOs & Sr. Managers.

AI Superpowers

Save

Provides a broad overview of the AI landscape, particularly focusing on the competition between the US and China. It offers valuable insights into the strategic implications of AI, which is highly relevant for CXOs and senior managers. While not a technical manual, it helps understand the global context and potential impact of AI on various industries. It is useful as additional reading to broaden the understanding of AI's impact.

AI Superpowers (International Edition)

Paperback

Life 3. 0

Save

Explores the broader societal implications of AI, including its potential impact on jobs, ethics, and the future of humanity. It provides a thought-provoking perspective on the long-term consequences of AI development. It is more valuable as additional reading to provide a broader context for the course. It is not a technical manual, but it is useful for understanding the potential impact of AI on society.

Life 3.0: Being Human in the Age of Artificial...

Paperback

Generative AI & Predictive AI for CXOs & Sr. Managers

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Ai & ml overview for business leaders

Activities

Career center

Reading list

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