A practical, project-based introduction to AI and machine learning — built for beginners who want real, applicable skills, not just theory.
| Rating | 4.8 ★ (2,340 ratings) |
| Enrolled | 12,400 learners |
| Instructor | Dr. Farah Idris, AI Researcher & Lead Data Scientist |
| Last updated | May 2026 |
| Language | English |
| Certificate | Yes — Innovdemy Certificate of Completion |
| Duration | 18 hours of video · 24 articles · 12 downloadable resources |
| Level | Beginner |
This course gives you a practical, project-based grounding in artificial intelligence and machine learning — built for people starting from zero. Rather than abstract theory, you'll work through real datasets and small applied projects that mirror the problems AI teams solve every day.
The course is organised into five structured modules, mixing short video lessons, hands-on coding exercises, and quizzes that check your understanding before you move forward. Two guided mini-projects tie the concepts together into something you can add to a portfolio.
It's designed for complete beginners entering the field, professionals looking to upskill and speak confidently about AI at work, and students preparing for further study in data science or computer science.
5 sections · 42 lectures · 18 total hours
| Module | Topics covered | Lessons | Duration |
|---|---|---|---|
| 1. Foundations of AI | History, definitions, real-world examples | 8 | 140 min |
| 2. Machine Learning Basics | Supervised vs. unsupervised, key algorithms | 10 | 210 min |
| 3. Working with Data | Cleaning, features, exploration in Python | 9 | 190 min |
| 4. Building Your First Model | Training, testing, evaluating accuracy | 8 | 175 min |
| 5. AI in the Real World | Ethics, bias, career pathways, capstone project | 7 | 165 min |
Senior Data Scientist, AI Researcher
Dr. Idris spent over a decade building machine learning systems for healthcare and logistics companies before moving into education full-time. She holds a PhD in Computer Science and is known for translating dense technical concepts into approachable, hands-on lessons.
"Clear, practical, and never condescending. I finally understand what my engineering team means in standups."
"The capstone project was the highlight — I now have something real to show in interviews."