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Artificial Intelligence & Machine Learning for Business

The Ultimate Artificial Intelligence & Machine Learning course for CxOs, Managers, Team Leaders and Entrepreneurs
Instructor:
Analytics Vidhya
5,417 students enrolled
English [Auto]
Applications of Artificial Intelligence and Machine Learning for Business Leaders (CxOs, Managers, Team Leaders, MBA Students, Entrepreneurs)
How can you apply Artificial Intelligence and Machine Learning in your areas of functions?
Disruption happening in several domains and industries because of Artificial Intelligence and Machine learning

Are you prepared for the inevitable AI revolution? How can you leverage it in your current role as a business leader (whether that’s a manager, team leader or a CxO)? Analytics Vidhya’s ‘Artificial Intelligence (AI) & Machine Learning (ML) for Business’ course, curated and delivered by experienced instructors, will help you understand the answers to these pressing questions.

Artificial Intelligence has become the centrepiece of strategic decision making for organizations. It is disrupting the way industries function – from sales and marketing to finance and HR, companies are betting on AI to give them a competitive edge.

AI for Business Leaders is a thoughtfully created course designed specifically for business people and does not require any programming.

Through this course you will learn about the current state of AI, how it’s disrupting businesses globally and in diverse fields, how it might impact your current role and what you can do about it. This course also dives into the various building blocks of AI and why it’s necessary for you to have a high-level overview of these topics in today’s data-driven world.

We will also provide you with multiple practical case studies towards the end of the course that will test your understanding and add context to all that you’ve studied.

By the time you finish the course, you will be ready to apply your newly-acquired knowledge in your current organization. You will be able to make informed strategic decisions for yourself and your business.

About this course

1
Instructors Introduction
2
Why take this course?

What is Artificial Intelligence (AI) & Machine Learning (ML)?

1
What is Artificial Intelligence (AI) & Machine Learning (ML)?
2
What is AI & ML? - Exercise
3
History of AI & ML

What AI can and can not do?

1
Types of ML
2
Types of ML - Exercise
3
AI vs. Humans
4
When to Apply AI & ML
5
When to Apply AI & ML - Exercise

AI uprising

1
ANI vs. AGI vs. ASI
2
ANI v AGI v ASI - Exercise
3
Recent AI uprising
4
Recent AI Uprising - Exercise
5
How is the world changing?
6
Further Recommended Resources

Building blocks of AI

1
Building blocks of AI

Common terminologies in real world

1
Common Terminologies
2
Common Terminologies
3
Glossary of Machine Learning Terms

Common tools used for creating Artificial Intelligence

1
Common Data Capturing Types and Tools
2
Common Data Capturing Types and Tools
3
Common Tools in the Data Science Spectrum
4
Common Tools in the Data Science Spectrum

Common techniques in Artificial Intelligence

1
Overview of Common Techniques
2
Overview of Common Techniques
3
Reinforcement Learning Reads
4
Understanding ML Techniques (Part 1)
5
Understanding ML Techniques (Part 2)
6
Understanding ML Techniques

Applications of AI in various industries

1
Introduction
2
Banking
3
E-Commerce
4
Healthcare
5
Telecom

Applications of AI in different functions

1
Human Resources
2
Sales
3
Operations
4
Marketing
5
Supply Chain
6
Applications of AI in different functions

What do you need to enable a AI / ML practice in your organization?

1
Overview
2
Level of Change
3
Building your AI Strategy (Part 1)
4
Timelines for Building AI Strategy
5
Building AI Strategy (Part 2)

How to recruit a team for enabling AI / ML?

1
Roles in AI
2
Roles in AI
3
Keys to recruit top AI & ML talent
4
Keys to recruit top AI & ML talent

Common misconceptions about AI & ML

1
Misconceptions about AI/ML
2
Misconceptions about AI/ML

The Artificial Intelligence Creation Process

1
Stages of Model Building and Problem Definition
2
Stages of Model Building and Problem Definition
3
Hypothesis Generation
4
Hypothesis Generation
5
Data Extraction or Collection
6
Data Extraction or Collection
7
Data Exploration
8
Data Exploration
9
Basics of Model Building
10
Basics of Model Building
11
ML Projects and Model Evaluation

Promises and Challenges of Artificial Intelligence

1
Promises of Artificial Intelligence
2
Challenges of Artificial Intelligence
3
The Need for designing Safe AI
4
Guidelines from OpenAI and Google for creating Safe AI
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Certificate of Completion
Artificial Intelligence & Machine Learning for Business
Category:
Data Science
Teacher
Daniel W
Price:
$188.98 $149
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