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
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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

Generative AI Vs Predictive AI

ChatGPT: Is it Strong AI or Weak AI?

Gen-AI: Increase in Productivity

Biggest application of Gen-AI so far

AI Basics

Four Types of Data Analytics

What Gets Measured Gets Improved

A different take on the types of algorithms

Different types of Machine Learning Models

Accuracy of Machine Learning Models

AI Workflow

Strategic Case Studies

Which would be the optimal model?

Quiz

AutoML with PowerBI : No Coding Required

Kickstarting your AI Journey

Anomaly, Clustering and Forecasting with Power BI (No Coding Required)

Advanced AI Topics: Explainable AI

Explainable AI (XAI): Introduction

Types of AI Models from an explainability perspective

Types of Explainability Techniques

Advanced AI Topics: RAG, Agentic AI

How neural networks operate

Understanding Large Language Models (LLMs) and Generative AI

Understanding Transformers

Retrieval Augmented Generation (RAG)

Agentic AI

Case Study: RAG, RPA & Agentic AI

Advanced AI Topics: Ethics & Governance

AI Ethics and Governance

IEEE's P7001: Metrics for Ethics

IEEE P7002: Privacy by Design

IEEE P7003: Algorithmic Bias

AI Ethics Case Study

Technologies enabling the rise of AI

Is AI an old technology?

Big Data

Cloud

IoT

IIoT and Industry 4.0

Applications of AI In Different Industries

AI in Oil and Gas Industry

AI in Media and Entertainment

AI in Insurance

AI in Electrical Industry

AI in Banking

Case Studies

Case Study 1: Insurance Fraud Detection

Case Study 2: Sales & Supply Chain Demand Planning Analytics

Case Study 3: Image/Video Analytics & Social Distance Management

Case Study 4: Outlier or Anomaly Detection

Case Study 5: Customer Segmentation

Case Study 6: Predictive Maintenance

NLP (Natural Language Processing)

Case Study 7: Speech to Text

Framework to assess Organization's Maturity For Artificial Intelligence

Assess your organization or client's organization for its maturity to deploy AI

Big Data and AI are same technologies

ChatGPT, Gemini and Prompt Engineering

Evolution of ChatGPT

Recent Advances in ChatGPT with Use Cases

Data Privacy for the ChatGPT World

Where should a CxO focus?

Google Gemini (earlier called Bard): A Worthy Competitor to ChatGPT

What is Prompt Engineering

Beyond the basics | Create a Custom ChatGPT like App | Beat Privacy Issues

Use your organization's knowledge repository | Chat with your PDF document

RPA

Intelligent Automation

Task Vs Workflow Automation

Case Study 8: Intelligent Automation

Challenges in AI and RPA deployments

AutoML Using Google Vertex

What is AutoML

Introduction to Google Cloud's Vertex AI

Dependent Vs Independent Variable

Regression and Classification Concepts

Accuracy in Classification and Regression

Developing and deploying churn prediction model in Vertex AI

Conclusion

Bonus Lecture

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 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.

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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 on Amazon

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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:

Generative AI & Predictive AI for CXOs & Sr. Managers

What's inside

Learning objectives

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