AI Demystified - From concepts to strategy


(4 ratings)


3 Days


Cohort-based Course

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

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 will be planned during the session by use-cases selected by the participants.

Who is this course for


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


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


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


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 learn? How do you go about developing AI models? What are important elements that can impact the outcome of your AI model?

When to use a base model, retrain a model or fine-tune a model? What are the associated risks?

AI Adoption and 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

This course includes

3 interactive live sessions

Lifetime access to course materials

In-depth lessons

Direct access to instructor

Projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Week 1

    Apr 7—Apr 9

    Week dates are set to instructor's time zone


    • Apr


      Session 1 - AI Demystified

      Sat, Apr 8, 3:30 AM - 5:00 AM UTC

    • Apr


      Session 2 - AI Demystified

      Sun, Apr 9, 3:30 AM - 5:00 AM UTC

  • Week 2

    Apr 10—Apr 11

    Week dates are set to instructor's time zone


    • Apr


      Session 3 - AI Demystified

      Wed, Apr 12, 3:30 AM - 5:00 AM UTC

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

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Bulk purchases

Free resource

AI Demystified: Go beyond the hype and the fear

Since the launch of ChatGPT by OpenAI, the tech industry is abuzz with hyperboles of AI taking over the humanity. Going by the narrative it seems that all creators, coders, accountants, researchers, therapists, teachers, decision makers and (...) will be replaced by AI. Unicorn startups will only need the founders and the rest will be taken care of by AI.

The truth will be somewhere between the hype and the fear. This course explains the concepts of AI, how AI models are created and how you can use AI to your competitive advantage in business or career

Join the next cohort

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


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Intact Sessions Only

One full day, or two half-days
  • Session timings

    Intact session will be tailored to each group