AI Foundations
30-Day No-Code AI Course
Master AI fundamentals, machine learning, prompt engineering, and automation - completely no-code. Perfect for students, professionals, and educators.
Duration
30 Days
Daily Time
60-90 Min
Format
100% No-Code
For Everyone
Beginners+
Our Course Promise
This course is completely 100% no-code. Students will not write Python, JavaScript, SQL, API code, or build software through programming.
Every practical exercise uses visual interfaces, AI tools, no-code platforms, templates, and guided workflows. Focus on learning concepts, not syntax.
30% Concepts - Understand the theory
50% Hands-On - Build practical skills
20% Quizzes/Discussion - Reinforce learning
Your Learning Journey
Learn AI → Use AI → Create with AI → Automate with AI → Build AI Projects
What is AI?
•AI vs normal software and automation
•Examples of AI in search, recommendations, maps, phones, banking and education
•Narrow AI, AGI concept, history and major milestones
Practice: Identify 20 AI examples in daily life
How AI Works
•Data → training → model → prediction/inference
•Features, labels, patterns and examples
Practice: Explain how an AI could distinguish cats from dogs without coding
AI vs ML vs Deep Learning vs Generative AI
•Understand the hierarchy and terminology
•LLMs, NLP, computer vision, multimodal AI
Practice: Classify real-world AI products by technology
Data & AI
•Structured/unstructured data; text, image, audio and video
•Training data, quality, labeling and bias
Practice: Evaluate a sample dataset conceptually
Types of Machine Learning
•Supervised, unsupervised and reinforcement learning
•Real-world examples without mathematics or coding
Practice: Classify 15 business/student problems
AI Models & Predictions
•What a model is; training vs inference; confidence and errors
•Why models can make mistakes
Practice: Use an AI tool to classify and explain examples
Week 1 Review + Mini Challenge
•Quiz
•Mini challenge: design an AI solution for a school problem
Practice: 5-minute student presentation
3 Final AI Projects
Choose your own project path and build a real-world AI solution
AI Study Assistant - creates explanations, notes, quizzes and flashcards from a topic.
AI Resume Assistant - reviews a resume and suggests improvements against a job description.
AI Customer Support Assistant - answers questions from a supplied knowledge base.
AI Research Assistant - turns a question into a research plan, source checklist and summary.
AI Content Workflow - turns an idea into draft content, review checklist and publishing assets.
AI School Helpdesk - provides structured answers to common student/parent questions.
AI Personal Productivity Assistant - organizes tasks, notes and recurring workflows.
Assessment Structure
Comprehensive evaluation throughout the course
Daily Concept Checks
5–10 questions or short activitiesWeekly Practical Assignment
20%Prompting/Productivity Challenges
20%Final No-Code Project
35%Final Presentation
15%Responsible-AI Understanding
10%Recommended Learning Resources
All resources are free and accessible online
Google AI / Google for Developers
Introductory AI and machine-learning concepts.
Google Machine Learning Crash Course
Use concept sections selectively; no coding sections required.
StatQuest
Clear visual explanations of ML, neural networks and statistics.
3Blue1Brown
Visual intuition for neural networks and deep learning.
Andrej Karpathy
Optional advanced conceptual videos only.
Current AI-tool tutorials
Use official help/tutorial material for selected tools.
Who Should Enroll?
School Students
Learn AI concepts that shape the future
College Students
Build foundational AI knowledge
Educators
Teach AI without complex coding
Professionals
Upskill and adapt to the AI era
Non-Tech Individuals
No programming background needed
Career Changers
Explore AI-enabled job opportunities
Frequently Asked Questions
Do I need programming experience?
No! This is a 100% no-code course. No programming background is required. All exercises use visual interfaces and no-code tools.
How much time do I need to commit daily?
Plan for 60-90 minutes per day. This includes concept learning (30%), hands-on practice (50%), and quizzes (20%).
What tools will we use?
We use visual AI tools, no-code platforms, and AI services with intuitive interfaces. No coding required.
Will I get a certificate?
Yes! Upon completion of the 30-day course and final project presentation, you will receive a completion certificate.
Can I learn at my own pace?
Yes, the course is designed to be flexible. While it follows a 30-day structure, you can work at a pace that suits you.
What happens after the course?
You will have a portfolio of 3 AI projects, a completion certificate, and the skills to pursue AI-enabled career opportunities.
Ready to Master AI?
Join our next cohort and learn AI the right way - through concepts, hands-on practice, and real projects.
Final Outcome: 3 Practical AI Projects + Portfolio Presentation + Completion Certificate
Questions? Get in touch or visit our faculty page