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AI Demystified - From concepts to strategy

10.0

(3 ratings)

·

5 Days

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Cohort-based Course

Learn the language of AI - from concepts to real-world applications. Understand the fundamentals and learn how to develop AI strategy

Hosted by

Rajeev Nanda

Technologist. Thought leader. Published author - https://rnanda.com

Course overview

Go beyond the hype or fear of AI

The goal of the course is to demystify AI for leaders, non-technical professionals, or technical folks who want to pivot into AI. By the end of this course, students will have gained confidence in discussing AI-related concepts and applications with technical and non-technical stakeholders. They will be able to think strategically about AI, ask informed questions and lead AI-related discussions within their organization.

 

Students will gain a solid understanding of the key concepts and terminology of AI. They will learn how AI models are developed and what are important considerations when developing AI. The later part of the course will discuss how to develop AI strategy for your organization.


The course will not go deep into technology but will mention few important ones. The hands-on workshop (Session 3) will walk-through the playbook using one, or more, use-cases selected by the participants to get a hands-on feel of how to go about developing AI strategy

Who is this course for

01

This course is targeted to business and technical leaders or technical folks who would like to pivot their career to AI

02

C-suite leaders, senior managers, and directors who want to understand the basics of AI and how to apply in their organization

03

Non-technical professionals who want to understand all about AI in simple terms and learn how it can be applied in their field of work

04

Entrepreneurs and start-up founders who want to learn how to leverage AI to build innovative new businesses or enhance existing ones

What you’ll get out of this course

Fundamentals of AI

What is artificial intelligence (AI), it's history and how it is changing the world: What are the most common terms used in AI. What's the difference between AI (artificial intelligence), ML (machine learning) and DL (deep learning) and how they related to each other

Developing AI models

What are different types of AI and how do they work? What are some real-world examples of their usage? How do you go about developing AI models? What are important elements that can impact the outcome of your AI

AI Transformation

How can AI be applied to business domains, like sales and marketing, customer service, supply chain, and other line-of-businesses. How to develop AI transformation strategy? Why ethics and governance are critical components to a successful AI transformation strategy

Technologist. Thought leader. Published author

Rajeev Nanda

Rajeev Nanda

Accomplished and results-oriented leader with a breadth of experience in multifarious leadership roles. Worked across entire software stack with hands on experience. Created, matured and managed cross-functional and cross-geo organizations to deliver line-of-business solutions and AI models. Worked with executive level staff on strategic programs. Experienced in Digital Transformation, Agile Transformation, Innovation Harvesting and Organizational Transformation.

 

Well versed with various development methodologies, including Agile/SCRUM, and program lifecycle cycle processes. Published author of books and articles on technology, strategy, management, and leadership topics including AI, IoT, Cloud Computing and innovation. More on https://rnanda.com

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AI Demystified - From concepts to strategy

Course syllabus

01

Session 1

Learn about the history of AI, its basic concepts and types of AI with real-world examples. What have been pivotal moments for AI. How various AI types are applied and where

02

Session 2

How AI models are developed. What are important considerations when developing AI. Learn how to apply AI in various line-of-businesses. How to develop AI transformation strategy for your organization

03

Session 3

Hands-on exercise of developing or reviewing AI strategy for one real-time use case in your organization.


The use case will be selected at the end of Session 2, or within two days thereafter. This session will be conducted after ~5 days as there will be homework assignment

04

Intact Sessions

Content can be customized for corporate intact sessions

Cohorts or intact session (Your choice)

Cohorts or intact session (Your choice)

Open cohorts

Best for peer-learning that cuts across demographics and location. Join a cohort and invite your friends to increase learning

Intact cohorts

Best for closed group learning. A minimum of 10 and a maximum of 12 participants to maximize learning and use-case workshop experience

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AI Demystified - From concepts to strategy

Course schedule

3 Sessions of 1.5 hours each
  • Session timings

    Session timings will vary as per each cohort.


    Intact sessions can be planned for your organization or groups