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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 |
|---|---|---|
|
10
|
Data Preprocessing & Feature Engineering
2.1 Encoding Categorical Variables
2.2 Feature Scaling
2.3 Train-Test Split & Cross-Validation
|
—
|
|
11
|
Regression & Classification
3.1 Linear & Polynomial Regression
3.2 Logistic Regression
3.3 Decision Trees & KNN
3.4 Support Vector Machines
|
—
|
|
12
|
Model Evaluation
4.1 Confusion Matrix
4.2 Accuracy, Precision, Recall, F1-Score
4.3 Cross-Validation Techniques
|
—
|