Overview

AI for Everyone course is designed to help professionals from any background understand Artificial Intelligence (AI) and its impact. We start with the basics of AI and explain complex ideas like Machine Learning and Generative AI in simple terms. You will learn why AI is an important skill for everyone, not just tech experts.

Through real-world examples and relevant assessments, you will see how AI is applied in industries such as healthcare, finance, retail, and other domains.

By the end of this course, you will be able to:

• Understand and use AI tools effectively
• Apply ethical AI principles in your work
• Confidently use Generative AI for creating content, solving problems, and automating tasks

Duration

This course is valid for 45 days (Online Portal).

Location

Online (Self-paced modules with videos, quizzes, and assignments).

Intended audience

• Beginners with no technical background
• Working professionals
• Students and career changers
• Entrepreneurs looking to use AI in their business
• Anyone interested in understanding AI trends and applications

Detailed program structure

Artificial intelligence (foundational awareness)

• What is AI? – Myths vs. reality
• AI in everyday life – Real use cases across industries
• Ethics, bias & responsible AI
• AI career paths – How different roles interact with AI (technical & non-technical)
• Hands-on demo – Simple AI-powered tools for everyday tasks

Introduction to generative AI (exploration & creativity)

• Generative AI overview – LLMs, image generators, audio/video models
• How generative AI works – Intro to transformers, training data, fine-tuning basics (non-technical)
• Text generation tools – ChatGPT, Claude, Gemini
• Image & media generation – Midjourney, DALL·E, Runway ML
• Ethical use & risks – Deepfakes, misinformation, copyright
• Hands-on workshop – Build a marketing campaign using text + image AI tools
• Mini-project – Create a brand story, social posts, and a product image using AI

AI & machine learning essentials (understanding the tech side)

• What is machine learning? – Types: supervised, unsupervised, reinforcement
• Core ML workflow – Data, model, evaluation, deployment
• Basic algorithms – Decision trees, linear regression, clustering
• AI infrastructure – APIs, cloud AI services (AWS, Azure, Google Cloud)
• Hands-on workshop – Train a small ML model with no-code tools (Teachable Machine, Data Robot)

Prompt engineering & AI optimization (practical skill-building)

• Prompt basics – Role prompting, context setting, constraints
• Prompt patterns – Few-shot, zero-shot, chain-of-thought prompting
• Multi-modal prompting – Text + image/video inputs
• Automation with AI APIs – Using AI in workflows
• Hands-on practice – Build a chatbot, automate a report, create a video script

Highlights of the training program

• Flexible learning approach
• Personalized in-person support from expert trainers
• Bonus access to a complimentary course on one high-demand AI tool
• Assessment-driven learning for real-world experience
• Certificate of completion