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About this course
This practical-based Full Stack AI, ML with Data Analytics course is specially designed for students who want
to build a successful career in the AI and Data industry. The course focuses on modern AI development
through 100% hands-on training and live project work, covering No-Code AI SaaS development, Chatbots &
Agentic AI systems, Data Science & Analytics, Machine Learning & Deep Learning, and Freelancing & Client
Hunting. Students will learn to build, automate, analyze, and deploy real AI-powered applications using
industry-standard tools and technologies. By the end of the course, students will be able to develop complete
AI/ML solutions and work confidently on freelance and professional projects
Course Outline
Structured module-wise outline with topics and duration.
44 Items
| Module | Topics | Duration |
|---|---|---|
|
1
|
Data Science & Analytics
|
—
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|
2
|
Introduction to Data Science
1.1 What is Data Science & Analytics
1.2 Role of Python in Data Science
1.3 Data Science Workflow Overview
1.4 Tools Overview: Pandas, NumPy, Tableau
|
—
|
|
3
|
Python for Data Analysis
2.1 Python Fundamentals Refresher
2.2 NumPy Arrays & Operations
2.3 Pandas Series & DataFrames
2.4 Data Cleaning Techniques
2.5 Handling Missing Values
|
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|