← Back to Courses
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 |
|---|---|---|
|
13
|
Advanced ML Techniques
5.1 Handling Imbalanced Data (SMOTE)
5.2 Ensemble Methods (Random Forest, XGBoost)
5.3 Clustering (K-Means)
5.4 Explainable AI (SHAP)
|
—
|
|
14
|
Deep Learning
6.1 Neural Network Basics
6.2 Introduction to TensorFlow / PyTorch
6.3 Building a Simple Neural Network
6.4 Image Classification Basics
|
—
|
|
15
|
Model Deployment
7.1 Saving & Loading Models
7.2 Introduction to FastAPI
7.3 Deploying ML Models as APIs
|
—
|