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Artificial Intelligence

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Fundamental of Artificial Intelligence

Understand AI and how it's changing business and society. Learn what AI can really do, spot opportunities in your work, and make smart decisions about AI projects with no technical background needed.

Created by Satendra Patel | AI and Robotics Instructor

Last updated 08/2026 English/Hindi 5
1000+
Already Purchased
Self-Paced
Pre-recorded Lectures
Pathways
Industry aligned Projects
Duration
7 Hours (10 Modules)
1:1 Mentorship
1 on 1 Doubt Solving

What you'll learn

  • Discover Generative AI and Emerging Technologies such as ChatGPT, Claude and other AI innovations.
  • Understand the capabilities, limitations, and real-world impact of AI technologies.
  • Recognize where AI can create value across industries, businesses, and everyday life.
  • Master Machine Learning and Data Science workflows to learn how data is transformed into intelligent solutions.
  • Learn how to evaluate ideas and select AI initiatives.
  • Communicate confidently with data scientists, engineers, and AI professionals.
  • Learn the core concepts of Artificial Intelligence through simple, easy-to-follow explanations.

Course Description

Beginner-Friendly | No Coding Required | Real-World Applications

Artificial Intelligence is reshaping every industry from healthcare and finance to retail and manufacturing. But you don't need to be a programmer or engineer to understand how it works or how to use it. This course breaks down AI concepts in simple, everyday language, making it easy for business leaders, managers, students, and curious learners to confidently understand and apply AI in real situations.

Through real-world case studies like smart speakers, self-driving cars, and business automation, you'll discover what AI can actually do, what's just hype, and how organizations successfully (and unsuccessfully) use AI. Learners will also learn how to work with AI teams, make informed decisions on AI projects, and responsibly navigate AI's impact on society, jobs, and ethics. 

Who Should Take This Course?

1. Students and lifelong learners

2. Business owners, entrepreneurs, Managers and executives

3. Educators, trainers and Working professionals

4. Or Anyone interested in understanding AI and its future impact

No prior coding experience or technical background is required. Just bring your curiosity and a willingness to explore how AI is shaping the world around us.

Course content

Learning Path
10 Modules • Click a step to explore
0%
Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
Module 8
Module 9
Module 10
1
Introduction to Artificial Intelligence
40 min 1 lectures
1.1

Understanding AI Basics
Learn what artificial intelligence really is and how it differs from traditional programming.

AI Terminology Made Simple
Master essential AI vocabulary without technical jargon to communicate effectively about AI.

AI in Everyday Life 
Discover how AI powers the tools and services you use daily.

 

2
Machine Learning Fundamentals
40 min 1 lectures
2.1

What is Machine Learning?
Understand how machines learn from data instead of following explicit instructions.

How AI Uses Data
Explore the role of data as the fuel that powers machine learning systems.

Capabilities and Limitations
Learn what machine learning excels at and where it falls short.

3
Deep Learning Demystified
40 min 1 lectures
3.1

Introduction to Deep Learning
Understand deep learning as a powerful subset of machine learning without technical complexity.

Neural Networks Simplified
Get a non-technical overview of how neural networks mimic human brain functions.

Real-World Deep Learning Applications
See how deep learning powers image recognition, language processing, and more.

4
AI Project Fundamentals
45 min 1 lectures
4.1

Machine Learning Project Workflow
Learn the standard process from problem definition to deployment.

Data Science Project Stages
Understand each phase of a data science project and typical timelines.

Why Data Skills Matter
Discover why every role benefits from understanding data-driven decision making.

5
Selecting and Planning AI Projects
45 min 1 lectures
5.1

Evaluating AI Opportunities
Learn frameworks for identifying problems AI can solve in your organization.

Success Criteria for AI Projects
Understand what makes an AI project likely to succeed or fail.

Matching AI to Business Needs
Discover how to align AI capabilities with actual business problems.

Prioritizing AI Initiatives
Learn methods for ranking and selecting AI projects strategically.

6
Working with AI Teams
40 min 1 lectures
6.1

Understanding AI Team Roles
Learn about data scientists, ML engineers, and other key positions.

Effective Communication with Technical Teams
Master the art of bridging business needs and technical requirements.

Setting Clear Expectations
Understand how to define project scope and success metrics collaboratively.

AI Tools Overview
Get familiar with common platforms and tools AI teams use daily.

7
Real-World AI Case Studies
45 min 1 lectures
7.1

Smart Speaker Technology
Explore how voice assistants understand and respond to natural language.

Self-Driving Car Systems
Understand the multiple AI technologies that enable autonomous vehicles.

Other Industry Applications
Learn from successful AI implementations across different sectors.

8
AI Transformation Strategy
45 min 1 lectures
8.1

The AI Transformation Playbook
Follow a proven five-step framework for organization-wide AI adoption.

Building AI Capabilities
Learn how to develop technical talent and infrastructure over time.

Getting Executive Buy-In
Master strategies for securing leadership support and resources.

Avoiding Common Pitfalls
Identify frequent mistakes and learn how to sidestep them.

9
AI Ethics and Society
40 min 1 lectures
9.1

Bias and Discrimination in AI
Understand how AI systems can perpetuate or amplify unfair biases.

AI Security Challenges
Learn about adversarial attacks and vulnerabilities in AI systems.

Responsible AI Development
Explore best practices for building ethical and trustworthy AI.

10
AI’s Future Impact
40 min 1 lectures
10.1

Separating Hype from Reality
Learn to critically evaluate AI claims and predictions.

Employment and Economic Effects
Understand how AI will reshape jobs across industries and economies.

Preparing for an AI-Driven Future
Discover strategies for individuals and organizations to thrive.

Social Implications
Consider broader questions about AI's role in society.

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Course requirements

Basic Tools

PDF Reader (for notes and study materials)

Browser/App

Latest version of Google Chrome, Firefox, Safari or Microsoft Edge.

Internet Connection

Stable Internet with at least 2 Mbps speed for smooth video streaming and interactive content.

Device

Smartphone, Tablet, Laptop or Desktop Computer.

Instant Academic Support

Have Doubts? Get Answers In Real-Time!

Talk to our expert mentors directly or book a personal 1-on-1 counseling session to clear all your doubts.

  • Flexible Learning
  • Quick Response
  • 24/7 Chat Support
Ask Your Question Course Details

We will be there right through your learning journey

A comprehensive support ecosystem designed to guide you at every step of your educational and professional growth.

Interactive sessions designed for working professionals and learners

Step-by-step exploration of AI tools, applications, and real-world use cases

Digital resources and templates included for practical learning

Flexible schedule with live and recorded sessions

Dedicated instructors guiding learners in every session

Regular progress tracking and personalized feedback

Easy-to-follow guides, cheat sheets, and learning resources

Live Q&A and doubt-solving sessions

Practical tips for applying AI in your field

Develop critical thinking and AI literacy confidence

Early exposure to emerging AI trends and practical tools

Hands-on exercises to strengthen application skills

Foundation for career advancement and digital transformation

Group discussions and case studies to encourage collaboration

Showcase sessions where learners present AI solutions to peers

Access to ViLab's growing community of AI enthusiasts

Inspire and get inspired by other learners' implementations

Networking Events, Webinars, and Innovation Challenges

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Go from Curious Learner to AI User

A structured journey designed to take you from beginner to industry-ready professional.

Understand AI in Everyday Life

Explore "What is AI?" and discover how it's already part of your daily life—from smartphones to social media, shopping to entertainment.

Learning How AI Works

Learn the fundamentals of how AI systems operate through real-world examples—understanding algorithms, data, and automation without any coding.

Discovering AI Applications Across Industries

Explore how AI is transforming healthcare, finance, education, marketing, and more—understanding both opportunities and challenges.

Using AI Tools in Real Life

Experiment with popular AI tools like chatbots, recommendation systems, image recognition apps, and productivity assistants to see how they work firsthand.

Discuss Ethics, Risks & Responsible AI

Explore the ethical side of AI—data privacy, bias, job displacement, and fairness—and learn what it means to use AI responsibly.

Master the Concepts & Become an Informed AI User

Master the basic concepts and become comfortable understanding, evaluating, and using AI tools to enhance your personal and professional life.

Meet your instructor

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Satendra Patel | AI and Robotics Instructor

Hey there! Learn with me in a gamified way.

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Biography
“
I am a Robotics Teacher with experience in teaching STEM concepts through hands-on, engaging lessons designed for young learners. I specialize in simplifying complex topics into practical, easy-to-understand activities that emphasize creativity, critical thinking, and real-world......

I am a Robotics Teacher with experience in teaching STEM concepts through hands-on, engaging lessons designed for young learners. I specialize in simplifying complex topics into practical, easy-to-understand activities that emphasize creativity, critical thinking, and real-world problem solving. I have successfully taught 200+ students aged 10–13 across India, the US, UK, and Canada using platforms such as Arduino, Raspberry Pi Pico, and Micro:bit. Along with teaching, I also contribute to curriculum design to make learning accessible and impactful.

Passionate about making technology learning exciting and future-ready, I am committed to preparing students through interactive methods and practical projects. My student-centric and detail-oriented teaching approach ensures that every learner feels supported and inspired.

Educational Qualification – B.Tech in Computer Science and Engineering from Lovely Professional University

Experience – 2+ year in NaivoTech, delivered live online and offline robotics sessions  

Divyansh Surinder Sahani profile picture
Instructor Verified

Divyansh Surinder Sahani

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Experienced Technology Educator and Trainer with expertise in Artificial Intelligence, Robotics, IoT, Embedded Systems, and Programming. Committed to delivering high-quality, industry-relevant training through structured learning, practical applications, and project-based instruc......
Experienced Technology Educator and Trainer with expertise in Artificial Intelligence, Robotics, IoT, Embedded Systems, and Programming. Committed to delivering high-quality, industry-relevant training through structured learning, practical applications, and project-based instruction. Dedicated to empowering students with technical proficiency, analytical thinking, and problem-solving skills, enabling them to excel in both academic and professional environments.

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FAQ

Frequently Asked Questions

Everything you need to know about Fundamental of Artificial Intelligence

Business leaders, managers, students, professionals from any field, and anyone curious about AI.

No. This course is completely non-technical. You don’t need coding, math, or engineering knowledge.

You’ll learn how AI works in simple language, what AI can and cannot do, how companies use AI, and how to identify real AI opportunities in your field.

Yes. You can learn at your own pace anytime, anywhere.

Yes. You’ll learn workflows of machine learning projects and how to evaluate AI ideas, proposals, and risks.

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