Generative AI & Predictive AI for CXOs & Sr. Managers

Generative AI & Predictive AI for CXOs & Sr. Managers, available at $74.99, has an average rating of 4.44, with 74 lectures, 3 quizzes, based on 246 reviews, and has 12202 subscribers.

You will learn about 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 This course is ideal for individuals who are CXOs or Managers or Technology Enthusiasts or Business Owners or Students or Any one interested in understanding and applying these technologies for business use It is particularly useful for CXOs or Managers or Technology Enthusiasts or Business Owners or Students or Any one interested in understanding and applying these technologies for business use.

Enroll now: Generative AI & Predictive AI for CXOs & Sr. Managers

Summary

Title: Generative AI & Predictive AI for CXOs & Sr. Managers

Price: $74.99

Average Rating: 4.44

Number of Lectures: 74

Number of Quizzes: 3

Number of Published Lectures: 58

Number of Published Quizzes: 3

Number of Curriculum Items: 80

Number of Published Curriculum Objects: 64

Original Price: $79.99

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

CXOs
Managers
Technology Enthusiasts
Business Owners
Students
Any one interested in understanding and applying these technologies for business use

Target Audiences

CXOs
Managers
Technology Enthusiasts
Business Owners
Students
Any one interested in understanding and applying these technologies for business use

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.
Explorehow 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 privacyand how to overcome the privacy challenges.
Createyour 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.”

Course Curriculum

Chapter 1: Introduction

Lecture 1: Context Setting

Lecture 2: Steve Jobs Predicted ChatGPT in the 80s

Lecture 3: Strong AI Vs Weak AI

Lecture 4: Generative AI Vs Predictive AI

Lecture 5: Biggest application of Gen-AI so far

Chapter 2: Technology Behind AI

Lecture 1: Four Types of Data Analytics

Lecture 2: What Gets Measured Gets Improved

Lecture 3: A different take on the types of algorithms

Lecture 4: How neural networks operate

Lecture 5: Understanding Large Language Models (LLMs) and Generative AI

Lecture 6: Understanding Transformers

Chapter 3: Technologies enabling the rise of AI

Lecture 1: Is AI an old technology?

Lecture 2: Big Data

Lecture 3: Cloud

Lecture 4: IoT

Lecture 5: IIoT and Industry 4.0

Chapter 4: Important Topics for AI Deployment

Lecture 1: Setting the context

Lecture 2: Case Study 1: Insurance Fraud Detection

Lecture 3: Evaluating the accuracy of machine learning models

Lecture 4: How to improve the accuracy of models

Lecture 5: Explainable AI (XAI)

Lecture 6: Case Study 2: Sales & Supply Chain Demand Planning Analytics

Lecture 7: Framework to assess Organization's Maturity For Artificial Intelligence

Lecture 8: Beyond the basics | Create a Custom ChatGPT like App | Beat Privacy Issues

Lecture 9: Use your organization's knowledge repository | Chat with your PDF document

Chapter 5: Applications of AI In Different Industries

Lecture 1: AI in Oil and Gas Industry

Lecture 2: AI in Media and Entertainment

Lecture 3: AI in Insurance

Lecture 4: AI in Electrical Industry

Lecture 5: AI in Banking

Chapter 6: Important Algorithms & Case Studies | Explore AI with PowerBI (No Coding Needed)

Lecture 1: Case Study 3: Image/Video Analytics & Social Distance Management

Lecture 2: Case Study 4: Outlier or Anomaly Detection

Lecture 3: Case Study 5: Customer Segmentation

Lecture 4: Understanding the clustering algorithm

Lecture 5: Anomaly, Clustering and Forecasting with Power BI

Lecture 6: Case Study 6: Predictive Maintenance

Lecture 7: Decision Tree

Lecture 8: NLP (Natural Language Processing)

Lecture 9: Case Study 7: Speech to Text

Chapter 7: ChatGPT, Gemini and Prompt Engineering

Lecture 1: Evolution of ChatGPT

Lecture 2: Recent Advances in ChatGPT with Use Cases

Lecture 3: Data Privacy for the ChatGPT World

Lecture 4: Where should a CxO focus?

Lecture 5: Google Gemini (earlier called Bard): A Worthy Competitor to ChatGPT

Lecture 6: What is Prompt Engineering

Chapter 8: RPA

Lecture 1: RPA

Lecture 2: Intelligent Automation

Lecture 3: Task Vs Workflow Automation

Lecture 4: Case Study 8: Intelligent Automation

Lecture 5: Challenges in AI and RPA deployments

Chapter 9: AutoML Using Google Vertex

Lecture 1: What is AutoML

Lecture 2: Introduction to Google Cloud's Vertex AI

Lecture 3: Dependent Vs Independent Variable

Lecture 4: Regression and Classification Concepts

Lecture 5: Accuracy in Classification and Regression

Lecture 6: Developing and deploying churn prediction model in Vertex AI

Chapter 10: Conclusion

Lecture 1: Conclusion

Chapter 11: Quiz

Chapter 12: Bonus Lecture

Lecture 1: Bonus Lecture

Instructors

SeaportAi .
Artificial Intelligence and Business Transformation Experts

Rating Distribution

1 stars: 4 votes
2 stars: 6 votes
3 stars: 41 votes
4 stars: 88 votes
5 stars: 107 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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