What is ARTIFICIAL INTELLIGENCE & DATA SCIENCE?
A comprehensive industry-oriented training program designed to build practical expertise in Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Generative AI, MLOps, Data Analytics, and AI Application Development. This program equips learners with the technical skills and real-world experience needed to succeed in modern AI industry roles.
This program is designed to take you from a complete beginner to a job-ready professional. We focus on practical skills, industry best practices, and the latest tools used by top tech companies globally.
Course Syllabus
PHASE 1 — PROGRAMMING & DATA SCIENCE FOUNDATIONS
Module 1: Introduction to AI & Data Science
- Introduction to Artificial Intelligence
- AI vs Machine Learning vs Deep Learning vs Generative AI
- Data Science Lifecycle
- AI Industry Applications
- AI Career Opportunities
- Development Environment Setup
- Tools: Python, Jupyter Notebook, VS Code, Google Colab
Module 2: Python Programming for AI
- Python Fundamentals
- Data Types & Functions
- OOP Concepts
- Exception Handling
- File Handling
- Modules & Packages
- Virtual Environments
- APIs
- NumPy, Pandas
- Practical Labs: Data Processing, Automation Scripts, Python Mini Projects
Module 3: Data Analytics & Visualization
- Data Cleaning
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Data Visualization
- Dashboard Development
- Business Analytics
- Tools: Pandas, Matplotlib, Seaborn, Power BI
- Projects: Sales Analytics Dashboard, HR Analytics, Customer Insights
PHASE 2 — DATABASES & MACHINE LEARNING
Module 4: SQL & Database Management
- MySQL Fundamentals
- CRUD Operations
- Joins
- Aggregate Functions
- Subqueries
- Window Functions
- Database Design
- MongoDB Basics
- Practical Labs: Database Design, SQL Reporting, Data Integration
Module 5: Machine Learning
- Machine Learning Workflow
- Data Preprocessing
- Regression Algorithms
- Classification Algorithms
- Decision Trees
- Random Forest
- Support Vector Machine
- K-Means Clustering
- PCA
- Model Evaluation
- Model Optimization
- Projects: Customer Churn Prediction, Loan Prediction, Sales Forecasting, Fraud Detection
PHASE 3 — DEEP LEARNING & GENERATIVE AI
Module 6: Deep Learning
- Artificial Neural Networks
- TensorFlow
- PyTorch
- CNN, RNN, LSTM
- Image Classification
- Model Training
- Projects: Face Recognition, Image Classification, Handwritten Digit Recognition
Module 7: NLP & Generative AI
- NLP Fundamentals
- Text Processing
- Tokenization
- Sentiment Analysis
- Transformers
- Hugging Face
- BERT, GPT
- Prompt Engineering
- ChatGPT, Gemini, Claude
- AI Agents
- LangChain
- RAG Concepts
- Projects: AI Chatbot, AI Resume Analyzer, AI Content Generator
PHASE 4 — COMPUTER VISION & MLOPS
Module 8: Computer Vision
- OpenCV
- Image Processing
- Object Detection
- YOLO Fundamentals
- Image Classification
- Video Analytics
- Projects: Smart Attendance System, Vehicle Detection, AI Surveillance
Module 9: MLOps & AI Deployment
- Flask, FastAPI
- Docker
- Kubernetes Basics
- Git & GitHub
- MLflow
- CI/CD Fundamentals
- Model Deployment
- Model Monitoring
- Practical Labs: Deploy ML Models, REST API Development, Docker Deployment
PHASE 5 — CLOUD AI & INDUSTRY PROJECT
Module 10: Cloud for AI
- AWS Fundamentals
- Azure AI Services
- Google Cloud AI
- AI Storage & Compute
- Cloud Deployment
Module 11: Industry Project & Internship
- Students develop industry-level AI solutions:
- AI Chatbot
- Recommendation System
- AI Resume Screening
- Predictive Analytics Dashboard
- AI-powered LMS
- Smart Healthcare AI
- AI SaaS Application
Module 12: Career Development
- GitHub Portfolio
- Resume Building
- LinkedIn Optimization
- Mock Interviews
- Technical Interview Preparation
- Placement Assistance
Frequently Asked Questions
Do I need prior experience?
No, this course starts from the basics. However, a general curiosity about technology is always helpful.
Will I get a certificate?
Yes, upon successful completion of the course and projects, you will receive a verified industry-recognized certificate from Next Gen Pro.