For business users, creators, and curious minds.
Duration: 2 months | Time: 40–50 hours
Core AI fundamentals
- Machine Learning (ML): AI systems that learn from data without being explicitly programmed for every task.
- Neural Networks & Deep Learning: Deep learning uses many layers (deep neural networks) for complex tasks like image and speech recognition.
- Data Representation & Feature Engineering: The process of converting raw data into useful features that help AI learn better.
AI in business, society, and daily life
- Automation of repetitive tasks; reduces human error and boosts productivity
- Data-driven decision making: AI analyzes big data for insights and trends
- Healthcare innovations: AI aids diagnosis, treatment plans, drug discovery
- Smarter cities: AI helps manage traffic, energy use, and safety
- Virtual assistants (e.g., Alexa, Google Assistant): help with reminders, search, smart home control
- Smartphone features: AI powers facial recognition, voice commands, photo enhancements
No-code AI tools
- Platforms that allow users to build AI-powered solutions without writing code.
- Designed for non-developers or citizen developers.
- Often provide drag-and-drop interfaces, pre-built templates, or simple configuration.
Final project for practical application
- Demonstrate real-world problem solving skills by applying concepts learned through hands-on, practical project development.
- Integrate multiple technologies and tools to design, build, and present a comprehensive functional solution.
- Showcase critical thinking, creativity, and technical proficiency through an independent or team-based project task.