Artificial Intelligence Machine Learning Business
Tags: Artificial Intelligence
The Ultimate Artificial Intelligence & Machine Learning course for CxOs, Managers, Team Leaders and Entrepreneurs
Last updated 2022-01-10 | 4.3
- 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
What you'll learn
* Requirements
* This course does not assume any prior knowledge of Artificial Intelligence or it’s associated terms. Bring your business and managerial experience - the course will help you do the rest !Description
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.
Who this course is for:
- CXOs, Business Managers, MBA students
- Entrepreneurs
- Any one interested in understanding and applying these technologies for business use
Course content
15 sections • 67 lectures
Instructors Introduction Preview 02:03
Why take this course? Preview 05:47
What is Artificial Intelligence (AI) & Machine Learning (ML)? Preview 08:42
What is AI & ML? - Exercise
History of AI & ML Preview 05:37
Types of ML Preview 10:07
Types of ML - Exercise
AI vs. Humans Preview 05:54
When to Apply AI & ML Preview 06:04
When to Apply AI & ML - Exercise
ANI vs. AGI vs. ASI Preview 08:25
ANI v AGI v ASI - Exercise
Recent AI uprising Preview 03:28
Recent AI Uprising - Exercise
How is the world changing? Preview 06:53
Further Recommended Resources Preview 00:19
Building blocks of AI Preview 04:36
Common Terminologies Preview 07:38
Common Terminologies
Glossary of Machine Learning Terms Preview 00:18
Common Data Capturing Types and Tools Preview 08:07
Common Data Capturing Types and Tools
Common Tools in the Data Science Spectrum Preview 12:10
Common Tools in the Data Science Spectrum
Overview of Common Techniques Preview 06:25
Overview of Common Techniques
Reinforcement Learning Reads Preview 00:33
Understanding ML Techniques (Part 1) Preview 07:41
Understanding ML Techniques (Part 2) Preview 08:03
Understanding ML Techniques
Introduction Preview 01:24
Banking Preview 15:18
E-Commerce Preview 21:06
Healthcare Preview 09:26
Telecom Preview 06:10
Human Resources Preview 09:49
Sales Preview 11:27
Operations Preview 11:28
Marketing Preview 13:37
Supply Chain Preview 07:32
Applications of AI in different functions
Overview Preview 01:20
Level of Change Preview 02:48
Building your AI Strategy (Part 1) Preview 07:42
Timelines for Building AI Strategy Preview 03:55
Building AI Strategy (Part 2) Preview 07:40
Roles in AI Preview 11:10
Roles in AI
Keys to recruit top AI & ML talent Preview 14:24
Keys to recruit top AI & ML talent
Misconceptions about AI/ML Preview 12:33
Misconceptions about AI/ML
Stages of Model Building and Problem Definition Preview 04:35
Stages of Model Building and Problem Definition
Hypothesis Generation Preview 03:16
Hypothesis Generation
Data Extraction or Collection Preview 01:53
Data Extraction or Collection
Data Exploration Preview 04:26
Data Exploration
Basics of Model Building Preview 05:26
Basics of Model Building
ML Projects and Model Evaluation Preview 12:35
Promises of Artificial Intelligence Preview 05:39
Challenges of Artificial Intelligence Preview 06:51
The Need for designing Safe AI Preview 05:54
Guidelines from OpenAI and Google for creating Safe AI Preview 04:33
This course includes:
- 5.5 hours on-demand video
- Access on mobile and TV
- Certificate of completion
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