Generative AI for Non-Technical Business Leaders
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Generative AI for Non-Technical Business Leaders

Beyond the Hype: Practical Applications of Generative AI for Your Business

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Intermediate
English
Shambaditya Mukherjee
Shambaditya Mukherjee
Generative AI for Non-Technical Business Leaders
This Course Includes:
  • 1h 10m
  • 14 Lectures
  • 19 Downloadable Assets
  • Full Lifetime Access
  • Access On Mobile And Tv
  • Certificate On Completion
At the Price of Just $80.00
Enroll Now
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Overview

What will AIXplorers learn in this course?
  • Introduction to Generative AI: A clear understanding of GenAI technology, its capabilities, and how it differs from traditional AI.
  • Data as the Fuel: The role of data in GenAI. Learn how data quality and management impact the success of GenAI projects.
  • GenAI Use Cases: Discover a wide range of real-world applications of GenAI across various sectors.
  • Demo of GenAI Tools: Get a hands-on feel for GenAI through guided demonstrations of user-friendly no-code AI tools.
  • Past, Future, and Adaptation: Explore the historical development of GenAI, its future trajectory, and how businesses can adapt it.
What are the requirements or prerequisites for taking this course?
  • No need for any previous AI experiences
Who is the course for?
  • Non-Tech Business Leaser
  • Self-employed
  • Executives from SMEs
Description
Course Tags
Generative AI for Non-Tech Business Leaders

Course Content

  • 6 Sections
  • 14 Lectures
  • 1h 10m Total Length
Section 1
Introduction of GenAI

In this section, we'll discuss
1. The Overview of GenAI. What is it and How does it work?
2. Importance of AI in Business. Why a business should care about it.
3. Case Study:- Faster caseworkers onboarding.

Time 14m
Lectures 3
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The Overview of GenAI.
0:07:03
Importance of AI in Business.
0:04:25
Case Study:- Faster caseworkers on-boarding.
0:02:58
Section 2
Data as the Fuel

In this section, we'll find why data is important.
1. Data Quality and relevance. The importance of data
2. Data Acquisition and Management.
3. Case Study: Data Management with Generative AI

Time 13m
Lectures 3
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Section 3
Generative AI use Cases

In this section, we will examine the step-by-step process of GenAI implementation.

1. Customer Service with GenAI
2. Application Modernization
3. Marketing Optimization

Time 17m
Lectures 3
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Section 4
Demo of GenAI Tools

We will explore AI tools.

1. Breadcrumb.ai:- GenAI Tool for Data Visualization
2. Cassidy:- GenAI tool for Automation and Assistance

Time 15m
Lectures 2
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Section 5
Past Future and Adaptation

1. GenAI Timeline:- Past and Future of GenAI
2. Strategies for Future Adaptation

Time 06m
Lectures 2
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Section 6
Conclusion

Let's start work!

Time 02m
Lectures 1
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About Tutor

Shambaditya Mukherjee

Shambaditya Mukherjee

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Biography

As an AI consultant, I've observed firsthand the hurdles businesses encounter in integrating AI into their workflows. From uncertainty about where to begin to concerns about return on investment, the journey to AI adoption can be daunting, leaving many businesses feeling overwhelmed and unsure of their next steps.

My education is in electronics and communications engineering. Currently working with LLM-based, chatbot developments. I've work experience with business development and digital marketing.

I can understand the non-tech point of view of implementing AI technology besides the technical uses.

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