Online
AI and Automation
S
Duration
2 Months
Days/Week
3 Days
Total Classes
24 Sessions
Delivery
Online
Course Overview
This practical AI and Automation course introduces learners to the fundamentals of Artificial Intelligence, Python programming, automation, and modern AI-powered productivity tools.
Students will learn how to use Python and AI tools to solve real-world problems, automate repetitive tasks, work with data, build simple intelligent applications, and integrate AI into everyday workflows.
The course combines instructor-led lessons, demonstrations, hands-on exercises, mini-projects, and a final practical project. No advanced programming background is required.
By the end of the course, students will be able to:
* Understand fundamental AI and machine learning concepts.
* Write and understand practical Python programs.
* Work with data using Python.
* Automate repetitive tasks and workflows.
* Use APIs and AI tools in practical applications.
* Build simple AI-powered applications.
* Apply AI responsibly to real-world problems.
* Develop a portfolio-ready automation or AI project.
📅 Dynamic Week-by-Week Syllabus
Week 1
Introduction to AI, Automation & Python — AI concepts, applications, Python environment setup and programming fundamentals
Week 2
Python Programming for Automation — Variables, data types, conditions, loops, functions, files and practical scripting
Week 3
Data Handling with Python — Lists, dictionaries, CSV/Excel files, data cleaning and basic data analysis
Week 4
Automation Fundamentals — Automating repetitive tasks, file management, web-based workflows and productivity automation
Week 5
Introduction to APIs & AI Tools — APIs, JSON, connecting applications and using modern AI tools effectively
Week 6
Building AI-Powered Workflows — Prompt engineering, AI-assisted automation, chatbots and intelligent workflow design
Week 7
Practical AI & Automation Project — Students design and build a real-world automation or AI solution
Week 8
Project Deployment, Presentation & Career Development — Project presentation, troubleshooting, documentation, portfolio development and next steps
Class Schedule & Venue
Weekly Time Slot
Mondays & Wednesdays, 4:00 PM - 6:00 PM
Online Platform
Conducted live via Google Meet. Full meeting links and video instructions will be sent upon course enrollment.
Rules & Prerequisites
Student Requirements & Prerequisites
No prior AI or programming experience is required. Basic computer literacy and access to a laptop are recommended. Students should have a reliable internet connection for online sessions and be willing to participate in practical exercises and assignments.
Python and required development tools will be installed and configured during the course.
Class Rules & Conduct
1. Attend classes regularly and arrive on time.
2. Participate actively in practical exercises and discussions.
3. Complete assigned exercises and projects.
4. Respect the instructor and fellow learners.
5. Do not disrupt classes or share inappropriate content.
6. Students are encouraged to ask questions and collaborate respectfully.
7. Academic dishonesty, plagiarism and submission of another person's work are not permitted.
8. Students should notify the instructor in advance when they are unable to attend a scheduled session.
9. Course materials and meeting links should not be shared publicly without permission.
10. The final project should demonstrate the student's own understanding and practical contribution.
About the Instructor
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