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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 |
|---|---|---|
|
4
|
Exploratory Data Analysis
3.1 Univariate & Bivariate Analysis
3.2 Outlier Detection
3.3 Correlation Analysis
3.4 Data Visualization with Matplotlib/Seaborn
|
—
|
|
5
|
Business Analytics & Tableau
4.1 Introduction to Tableau
4.2 Building Interactive Dashboards
4.3 KPI Visualization
4.4 Business Storytelling with Data
|
—
|
|
6
|
SQL for Data Analysis
5.1 SQL Basics
5.2 Querying & Filtering Data
5.3 Joins & Aggregations
|
—
|