01
Explain What AI Is and Isn't
History, milestones, narrow vs general vs generative AI.
Courses Introduction to AI
Course Course
Humain Academy
Introduction to AI
Understand how artificial intelligence actually works from the concepts to the code.
- Duration
- 45 total learning hours over 6 weeks
- Level
- Beginner, No prior AI or coding background
- Format
- 12 live online lectures + discussions + self-study + assessments
- Delivery
- Online only
About the Course
Introduction to AI
Everyone's talking about AI but very few understand how it works.
In 12 sessions, go from curiosity to comprehension: what AI is, how machines learn, what data does, how neural networks function, and where generative AI fits in.
This isn't a hype tour. You'll critically evaluate ethics, explore real applications, and use Python to build with AI APIs in the final session.
Designed for people with no technical background who want knowledge that's genuinely useful.
Prerequisites
Who is this course for?
Open to all aged 16+ curious about AI.
Curious Beginners
Understand AI beyond the headlines.
Professionals Exploring AI
Foundational AI literacy for informed decisions.
Aspiring AI Practitioners
Solid starting point for AI/ML careers.
Learning outcomes
What you'll know and do by course end.
02
How Machines Learn
Accessible understanding of learning from data.
03
Real-World Applications
Recognise AI across industries with practical and ethical evaluation.
04
The Role of Data
Quality, bias, and responsible collection.
05
Neural Networks & Generative AI
Structure of neural networks, LLMs, image generation.
06
AI Ethics
Critically evaluate ethical implications and responsible use.
07
Build an AI-Powered Tool
Python-based AI API interaction in the final session.
Curriculum modules
1 Session 1: What is AI? History & Key Milestones
Introduction to artificial intelligence, how it evolved, and the major breakthroughs that shaped the field.
2 Session 2: Types of AI: Narrow, General & Beyond
Explore different categories of AI and understand the current capabilities versus future possibilities.
3 Session 3: How Machines Learn: An Intuitive Introduction
Learn the basic ideas behind machine learning in a simple, non-technical way.
4 Session 4: AI in Everyday Life: Use Cases & Applications
Discover how AI is used across industries and in daily life.
5 Session 5: Data: The Fuel of AI Types & Quality (Part 1)
Understand different types of data and why quality matters for building AI systems.
6 Session 6: Data: Bias, Ethics & Responsible Collection (Part 2)
Explore how bias enters data and the importance of ethical data practices.
7 Session 7: Introduction to Neural Networks (Part 1)
Get a beginner-friendly overview of neural networks and how they mimic learning patterns.
8 Session 8: Neural Networks: Training, Layers & Activation (Part 2)
Understand how neural networks are trained and how their internal components work.
9 Session 9: Generative AI: LLMs & Image Generation
Introduction to generative AI, including text and image creation models.
10 Session 10: AI Ethics, Bias & Responsible Use
Dive deeper into ethical considerations and responsible AI usage.
11 Session 11: The Future of AI: Trends, Risks & Opportunities
Explore where AI is heading and the potential impact on society and industries.
12 Session 12: Hands-On: Using AI Tools & APIs with Python
Apply knowledge by working with simple AI tools and APIs in Python.
FAQs
Need Python?
Helpful for Session 12 but not mandatory.
Coding or concepts?
Primarily concepts with hands-on coding in the final session.
Certificate?
Certificate of Completion upon 70% of hours.
MDIA?
Yes submitted for the Boost Your Coding Scheme.
Ready to Understand AI For Real?
Enroll or request info about upcoming sessions.
Introduction to AI
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