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September 11,2018 - March 31,2019

AI and ML for Business Leaders

This course will help you understand about the current state of AI, how it's disrupting businesses globally and in diverse fields, how it might impact your current role and will also help you to understand various building blocks of AI.

Data Days Offer

Get flat 60% Discount on this course.

Use COUPON CODE: AIML60 To Get 60% Discount Today (Apply this code at checkout)

Price: INR 7,999 (19,999)

About This Course

Are you ready for AI revolution? How can you leverage it in your current role? Analytics Vidhya’s ‘AI for Business Leaders’ course, curated and delivered by experienced instructors, will help you understand the answers to these pressing questions.

Artificial Intelligence has become the centerpiece 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 is this course for?

This course has been designed for business leaders from all walks of life. Middle to senior managers, CxOs and team leaders will find this course relevant and stand to gain the most from it.

Regardless of which domain or role you work in, AI will eventually create a gap which this course will bridge with it's practical case studies along with the latest technology disrupting multiple domains.

Prerequisites

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 !

Syllabus

Understanding Artificial Intelligence (AI) and Machine Learning (ML)

(Release Date: 11th September 2018, 6:00 PM (IST))

  • What is Artificial Intelligence and Machine Learning?
  • History of Artificial Intelligence and Machine Learning
  • The recent Artificial Intelligence Uprising
  • What AI can and can not do?
  • Building blocks of Artificial Intelligence

 

Common Tools, Techniques & Terminologies

(Release Date:18th September 2018, 6:00 PM (IST))

  • Common terminologies in Data World
  • Common tools used for creating Artificial Intelligence
  • Common techniques in Artificial Intelligence

 

Applications of AI & ML In Real world 

(Release Date: 25th September 2018, 6:00 PM (IST))

  • Applications of AI system in various industries
  • Applications of AI in different functions
  • Expected order of disruption in industries

 

Building AI Capabilities In Your Organization

(Release Date: 2nd October 2018, 6:00 PM (IST))

  • What do you need to enable a AI / ML practice in your organization?
  • How to recruit a team for enabling AI / ML?
  • Roles in Artificial Intelligence
  • Common misconceptions about AI & ML
  • Do’s & Don'ts in enabling your Organization with AI & ML

 

Artificial Intelligence Creation Process

(Release Date: 9th October 2018, 6:00 PM (IST))

  • Importance of defining the problem
  • Hypothesis Building
  • Modeling techniques
  • Evaluation parameters
  • Implementation of AI & ML models

 

Promises and Challenges of Artificial Intelligence 

(Release Date: 16th October 2018, 6:00 PM (IST))

  • Promises of Artificial Intelligence
  • Challenges of Artificial Intelligence
  • The Need for designing Safe AI
  • Guidelines from OpenAI and Google for creating Safe AI

 

Case Studies on Real-World Scenarios

By this point in the course, you will have learned a plethora of topics and should be ready to apply these concepts in real-world scenarios. You will be given two practical case studies to work with and solidify your grasp on AI for business scenarios.

 

What next?

We will wrap up the course by providing you with resources to further enhance your understanding of AI and how you can use it for both professional and personal growth. These resources will include links to articles, YouTube videos, TED talks, among other things.

Case Studies

We will also give you two awesome case studies as part of this course.

 

Designing a Self-Driving Car

Self-driving cars are all the rage these days. As part of this case study, you will be tasked with identifying the building blocks of a self-driving car.

 

Course Staff

Course Staff Image #1

Kunal Jain

Kunal is the Founder and CEO of Analytics Vidhya, a community based data science portal. Before starting Analytics Vidhya, Kunal had worked in Analytics and Data Science for more than 8 years across various geographies and companies like Capital One and Aviva Life Insurance.

Course Staff Image #1

Pranav Dar

Pranav is the editor for Analytics Vidhya. He has experience in data visualization and has been previously involved in the learning & development departments of MNCs. He has taken various trainings on statistics & presentation skills and loves to read, write about anything from data science to machine learning. He will be your instructor for the statistics module.

Frequently Asked Questions

 

1. Who should take this course ?

This course is designed for people in executive, managerial and team lead roles.

2. I have no programming experience and don't know what AI is. Is the course right for me?

The course does not assume any prior background in AI or programming. You are good to go!

3. Do I need to install any software before starting the course?

No, you don't need to install any software for this course.

4. What is the refund policy?

The fee for this course is non-refundable.

5. Do I need to take the modules in a specific order?

We would highly recommend taking the course in the order in which it has been designed to gain the maximum knowledge from it.

6. Do I get a certificate upon completion of the course?

Yes, you will be given a certificate upon satisfactory completion of the course.

7. What is the fee for this course?

Fee for this course is Rs. 19,999.

8. How long can I access this course?

This is a self paced course, which you can take any time at your convenience over the 6 months after your purchase.

ABOUT THE INSTRUCTORS

Analytics Vidhya

Analytics Vidhya

Learn Everything about Analytics

Analytics Vidhya offers a high engagement community of data scientists and analytics professionals. You can connect with them to solve cutting-edge problems to hire them or turn them into evangelists of your products and services

SYLLABUS

  • Introduction
  • What is Artificial Intelligence (AI) & Machine Learning (ML)?
  • What AI can and can not do?
  • AI uprising
  • Building blocks of AI
  • Common terminologies in real world
  • Common tools used for creating Artificial Intelligence
  • Common techniques in Artificial Intelligence

CERTIFICATE

  • A certificate will be offered after successful completion of this course.

INR 19999

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KEY HIGHLIGHTS

  • Basics of Artificial Intelligence
  • Understand the impact of AI in various business
  • Understand how you can enable AI in your business
  • Understand the key decisions for Business Leaders
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