CURRICULUM // AI.201
APPLIED
AI Made Simple
ML fundamentals, neural networks, prompt engineering and applied AI — without the jargon.
Applied · 10 weeks, faster pace, more projects
10 weeksBeginner–Intermediate15–20 hrs/week
Learning Objectives
WHAT_YOU_LEAVE_WITH
- Understand ML fundamentals (supervised/unsupervised, training/testing)
- Neural networks basics (how they learn, backpropagation simplified)
- Practical prompt engineering (getting Claude, ChatGPT to do what you want)
- Build intuition for AI limits & biases
- Apply AI to real problems (text classification, image recognition basics)
Prerequisites
BEFORE_YOU_START
- Code to Create (Python) strongly recommended
- OR can be taken parallel with Code to Create
Recommended Sequence
WHERE_IT_FITS
- After Code to Create OR parallel
- Prerequisite for: Build Your First AI Project, Data Storytelling
Week-by-Week
8_MODULES
Week 1ML Fundamentals
6 units →Week 2Neural Networks 101
6 units →Week 3Practical Prompt Engineering
6 units →Week 4AI Tools & APIs
6 units →Week 5Computer Vision Basics
6 units →Weeks 6-7Natural Language Processing (NLP)
4 units →Weeks 8-9Ethics, Bias, Limitations
4 units →Week 10Capstone & Future
Activities →Course Totals
ON_COMPLETION
Total XP
~4,500 XP
Badges
7
Projects
7 (ML classification, neural net, prompt engineering, chatbot, image classifier, sentiment analyzer, capstone)
Time
10 weeks @ 15–20 hrs/week
Neural MasterPrompt EngineerAPI WizardVision ExpertNLP SpecialistEthics AwareAI Builder