AI and GenAI Essentials for Non-Tech Professionals Course Overview

Last Updated : 27 Mar 2025

AI and GenAI Essentials for Non-Tech Professionals Course Overview

AI and GenAI Essentials for Non-Tech Professionals is a one-day course designed specifically for non-IT individuals to gain a foundation in AI concepts and their practical applications. The course covers AI fundamentals, machine learning basics, and industry-specific AI applications. You will learn to craft effective prompts for AI models, and integrate AI-driven insights into your work documents.

Key learning objectives include understanding core AI concepts, visualizing data, and enhancing decision-making skills with AI. The practical sessions will involve using tools like ChatGPT and Copilot for daily communication tasks in Excel, email, and PowerPoint. By course end, you'll be able to communicate AI concepts, create visual representations, and drive organizational decisions with AI insights.

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Course Fee	750
Total Fees	750 (USD)

USD

600^♱

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Course Fee	600
Total Fees	600 (USD)

USD

^♱

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Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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1-on-1 Training

Schedule personalized sessions based upon your availability.

Learn More

Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

Learn More

Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

Learn More

Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

Learn More

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

Learn More

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Course Prerequisites

Minimum Required Prerequisites for AI and GenAI Essentials for Non-Tech Professionals

Basic Computer Literacy
- Familiarity with using a computer, internet browsing, and basic software applications such as Microsoft Office Suite.
No Prior Technical Expertise Required
- This course is designed for non-IT professionals and does not require any prior experience in programming or technical domains.
Interest in AI Applications
- A keen interest in learning how AI and GenAI technologies can be applied to various industry contexts and improve daily workflows.

These prerequisites ensure that participants can successfully engage with the course content and achieve the desired learning outcomes.

Target Audience for AI and GenAI Essentials for Non-Tech Professionals

1. Introduction:
AI and GenAI Essentials for Non-Tech Professionals is a 1-day course designed to help non-IT persons understand, apply, and communicate AI concepts effectively in various industrial contexts.

2. Target Audience and Job Roles:

Business Analysts
Project Managers
Marketing Professionals
Financial Analysts
Human Resource Managers
Sales Managers
Customer Service Managers
Healthcare Administrators
Operations Managers
Retail Managers
Education Administrators
Procurement Specialists
Logistics Coordinators
Legal Professionals
Media and Entertainment Executives
Government Officials
Policy Makers
Entrepreneurs and Startup Founders
Non-profit Organization Executives

Learning Objectives - What you will Learn in this AI and GenAI Essentials for Non-Tech Professionals?

AI and GenAI Essentials for Non-Tech Professionals

Our AI and GenAI Essentials for Non-Tech Professionals course offers a comprehensive overview of fundamental AI concepts and practical applications, tailored specifically for non-IT professionals to integrate AI insights and drive strategic decisions within their organizations.

Course Objectives:

Gain an AI foundation to apply solutions in industrial contexts.
Communicate AI concepts effectively within your organization.
Visualize data to better understand insights driven by AI.
Craft and fine-tune prompts for AI models.

Course Outcomes:

Communicate AI concepts, visualize data, and integrate AI insights into your organizational document.
Drive data-driven decisions using AI.
Develop a foundational understanding of AI, machine learning, and their applications across various industries.
Apply analytical thinking to enhance decision-making skills with AI tools.

Learning Objectives and Outcomes:

Understanding AI Fundamentals: Learn the history, evolution, and types of AI, including Narrow AI, General AI, and Superintelligent AI.
Machine Learning Basics: Understand the differences between supervised, unsupervised, and reinforcement learning.
Deep Learning Fundamentals: Gain insights into neural networks, Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs).