Welcome! This course is designed for beginners who want a practical introduction to AI, automation concepts, and hands-on experience building simple AI-powered solutions. No prior coding or AI experience is required. You’ll move step-by-step from the basics to building, automating, and deploying basic AI agents.
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Course Structure & Syllabus
Module 1: Introduction to AI and Automation
- What is Artificial
Intelligence?
- What is Automation?
- How AI drives automation in
the real world
- Everyday automation
examples: chatbots, scheduling assistants, smart devices
Module 2: Fundamentals of AI Agents
- What are AI agents?
(Reactive vs. Intelligent agents)
- How agents perceive, decide,
and act
- Agent-environment
interaction
- Hands-on: Simulate an
agent’s decision-making with a simple Python script
Module 3: Basics of Programming for AI
- Why Python is the language
of choice for AI
- Installing Python and basic
setup
- Variables, data types, and
simple functions
- Mini-project: Build a “Hello
AI!” bot in Python
Module 4: Core AI Concepts
- Supervised, unsupervised,
and reinforcement learning (basic overview)
- Search algorithms: decision
trees, basic pathfinding (hands-on)
- Using libraries:
Introduction to Scikit-learn and OpenAI Gym
Module 5: Building Simple AI Automation Projects
- Project 1: Automated email
sorter using keywords
- Project 2: Simple chatbot
with rule-based responses
- Project 3: Data entry
automation using Python scripting
Module 6: Tools of the Trade
- Overview of Python, TensorFlow,
PyTorch, Scikit-learn, OpenAI Gym
- How to choose the right
framework/tool
- Setting up your first
machine learning pipeline
Module 7: Ethical & Career Considerations
- Data privacy and fairness in
AI automation
- Popular careers: Automation
engineer, AI developer, chatbot designer, data analyst
- Resources for continued
learning (free online courses, blogs, tutorials)
Module 8: Final Hands-On Project
- Build your own basic AI
automation (choice: smart email filter, chatbot, or data processor)
- Document and present your
work
How You’ll Learn
- Short, focused lessons
followed by small coding exercises
- No jargon: Everything
explained simply and visually
- Mini-quizzes after each
module
- Help channels for asking
questions
Before You Start
- You’ll need a computer with
internet access
- Install Python (walkthrough
included)
- This course can be completed
in about 10–15 hours at a comfortable pace
Tags:
AI Automation