This is a completely free course and is for business managers/ leaders who want to understand about the current state of AI and Machine Learning, how they are disrupting businesses globally and in diverse fields, how they might generate impact in your current role and to understand various building blocks of Artificial Intelligence and Machine Learning. It will also explain why it's necessary for you to have a high-level overview of these topics in today's data-driven world.
We will also demonstrate practical case studies in the course that will help you to apply this on your business. There are videos and articles to learn on the go and exercises to test your learning.
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.
The course is divided into modules to make learning easier:
Course Modules:
• Introduction to Artificial Intelligence
• Common Tools, Techniques and Terminologies
• Applications of Artificial Intelligence and Machine Learning In the Real World
• Building AI Capabilities In Your Organization
• Artificial Intelligence Creation Process
• Promises and Challenges of Artificial Intelligence
You will learn the following techniques from the course:
• Common Terminologies
• Common Tools in the Data Science Spectrum
• Overview of Common Techniques
• Understanding of various Machine Learning techniques
• Stages of Model Building and Problem Definition
• Hypothesis Generation
• Data Extraction or Collection
• Data Exploration
• Basics of Model Building
• ML Projects and Model Evaluation
Case Studies of real world applications of Machine learning in the following domains have been covered:
• Banking
• Healthcare
• E-Commerce
• Telecom
• Human Resources
• Sales
• Operations
• Marketing
• Supply Chain
We have also covered how to build AI capability in your organization right from strategy, timelines, roles and keys all the way up to effective AI recruitment
In short, this course will act as a stepping stone in your journey to use data science in your organization to create value
Privacy: https://www.analyticsvidhya.com/privacy-policy/
Terms: https://www.analyticsvidhya.com/terms/
We will also demonstrate practical case studies in the course that will help you to apply this on your business. There are videos and articles to learn on the go and exercises to test your learning.
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.
The course is divided into modules to make learning easier:
Course Modules:
• Introduction to Artificial Intelligence
• Common Tools, Techniques and Terminologies
• Applications of Artificial Intelligence and Machine Learning In the Real World
• Building AI Capabilities In Your Organization
• Artificial Intelligence Creation Process
• Promises and Challenges of Artificial Intelligence
You will learn the following techniques from the course:
• Common Terminologies
• Common Tools in the Data Science Spectrum
• Overview of Common Techniques
• Understanding of various Machine Learning techniques
• Stages of Model Building and Problem Definition
• Hypothesis Generation
• Data Extraction or Collection
• Data Exploration
• Basics of Model Building
• ML Projects and Model Evaluation
Case Studies of real world applications of Machine learning in the following domains have been covered:
• Banking
• Healthcare
• E-Commerce
• Telecom
• Human Resources
• Sales
• Operations
• Marketing
• Supply Chain
We have also covered how to build AI capability in your organization right from strategy, timelines, roles and keys all the way up to effective AI recruitment
In short, this course will act as a stepping stone in your journey to use data science in your organization to create value
Privacy: https://www.analyticsvidhya.com/privacy-policy/
Terms: https://www.analyticsvidhya.com/terms/
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