Python AI Training & Internship Program
Type: Other
Python AI Training & Internship Program
Python • Data Analytics • Machine Learning • Deep Learning • NLP
🚀 12 Days Intensive Internship Program • 15+ Mini Projects • Industry-Oriented Learning • Internship Certificate
Program Details
- 🕘 Timing: 9:30 AM – 3:30 PM
- 🏢 Mode: Offline Training
- 📅 Monday to Saturday
- 🏖 Sunday Holiday
- Fee: ₹2500 Only
- 📜 Internship + Training Certificate
- 🤖 AI & Machine Learning Focused Program
Why Join This Program?
- Build Real AI Projects
- Learn Industry Tools & Libraries
- Hands-on Mini Projects Every Day
- Portfolio Development
- Machine Learning & Deep Learning Exposure
- Industry-Oriented Internship Experience
Week 1
Day 1 – Python Fundamentals
- Introduction to Programming Concepts
- Introduction to Python
- Installing Python & VS Code
- Python Syntax & Indentation
- Variables & Data Types
- Input & Output Operations
- Type Casting
- Arithmetic Operators
- Relational Operators
- Logical Operators
- String Operations
- Comments & Documentation
- Writing Python Scripts
- Executing Python Programs
- Mini Projects:
- Calculator App
- Student Information System
- Unit Converter
Day 2 – Python Logic Building
- Conditional Statements
- Nested If Statements
- For Loops
- While Loops
- Functions
- Function Parameters
- Return Statements
- Lists
- Tuples
- Dictionaries
- Sets
- Exception Handling
- Lambda Functions
- Python Modules
- Mini Projects:
- ATM Simulator
- Number Guessing Game
- Student Marks Analyzer
Day 3 – Data Analytics
- Introduction to Python Libraries
- NumPy Arrays
- Pandas DataFrames
- Data Selection & Filtering
- Reading CSV Files
- Statistical Functions
- Data Cleaning Basics
- Introduction to Gradio
- Building Gradio Interfaces
- Introduction to gTTS
- Text to Speech Applications
- Creating Voice Assistants
- Mini AI Applications
- Python Automation Scripts
- Mini Projects:
- Voice Assistant
- Text-to-Speech Generator
- Gradio Web App
Day 4 – EDA & Visualization
- Data Cleaning Techniques
- Missing Value Handling
- Duplicate Data Removal
- Feature Analysis
- Correlation Analysis
- Outlier Detection
- Matplotlib Fundamentals
- Seaborn Fundamentals
- Data Visualization Techniques
- Business Insight Generation
- Histograms
- Boxplots
- Scatter Plots
- Heatmaps
- Mini Projects:
- Car Sales Analysis
- Heart Disease Analysis
- Salary Dataset Analysis
Day 5 – Machine Learning Fundamentals
- Introduction to Artificial Intelligence
- Introduction to Machine Learning
- Types of Machine Learning
- Supervised Learning
- Unsupervised Learning
- Feature Scaling
- Encoding Techniques
- Cross Validation
- Pipeline Concepts
- Data Preprocessing
- Feature Engineering
- Train Test Split
- Model Training Workflow
- Model Evaluation Basics
- Mini Projects:
- House Price Prediction
- Student Performance Prediction
- Employee Salary Prediction
Day 6 – Machine Learning Algorithms
- Linear Regression
- Multiple Linear Regression
- Logistic Regression
- Decision Tree
- KNN Algorithm
- Random Forest Introduction
- Confusion Matrix
- ROC Curve
- F1 Score
- Hyperparameter Tuning
- Model Deployment Basics
- Accuracy Metrics
- Precision & Recall
- Model Comparison Techniques
- Mini Projects:
- Loan Prediction System
- Disease Prediction System
- Customer Classification System
Week 2 – Deep Learning, Image Processing & NLP
Day 7 – Image Processing using Pillow & OpenCV
- Introduction to Image Processing
- Images as Data
- Pillow Library Basics
- Reading and Saving Images
- Image Resizing
- Image Cropping
- Image Rotation
- Image Enhancement
- Image Thresholding
- Color Space Conversion
- Edge Detection
- Image Filtering
- OpenCV Introduction
- Real Time Image Processing Concepts
- Mini Projects:
- Image Resizer Tool
- Image Converter Tool
- Photo Enhancement Application
Day 8 – Deep Learning Fundamentals
- Introduction to Deep Learning
- AI vs ML vs DL
- Biological vs Artificial Neurons
- Neural Network Architecture
- Forward Propagation
- Backpropagation
- Activation Functions
- Loss Functions
- Optimizers
- TensorFlow & Keras Overview
- Mini Projects:
- Deep Learning Demo
- Neural Network Visualizer
- Prediction System
Day 9 – Artificial Neural Networks (ANN)
- ANN Architecture
- Input Layer
- Hidden Layer
- Output Layer
- Weights & Bias
- Model Compilation
- Epochs & Batch Size
- Optimizers
- Training Neural Networks
- Model Evaluation
- Mini Projects:
- Customer Churn Prediction
- Loan Approval Prediction
- Diabetes Prediction
Day 10 – Convolutional Neural Networks (CNN)
- Introduction to CNN
- Image Classification Concepts
- Convolution Layer
- Pooling Layer
- Flatten Layer
- Dense Layer
- Feature Extraction
- CNN Architecture
- Training CNN Models
- Model Evaluation
- Mini Projects:
- Cat vs Dog Classification
- Digit Recognition System
- Object Classification Demo
Day 11 – Natural Language Processing (NLP)
- Introduction to NLP
- Text Preprocessing
- Tokenization
- Stop Word Removal
- Stemming
- Lemmatization
- POS Tagging
- Named Entity Recognition
- Bag of Words
- TF-IDF Vectorization
- Mini Projects:
- Text Cleaner Tool
- Keyword Extraction Tool
- Word Frequency Analyzer
Day 12 – Deep Learning with NLP (RNN & LSTM)
- Sequential Data Processing
- Word Embeddings
- Word2Vec Concepts
- GloVe Embeddings
- Recurrent Neural Networks
- Long Short-Term Memory
- GRU Networks
- Text Classification
- Sentiment Analysis
- Language Modeling
- Mini Projects:
- Spam Detection System
- Sentiment Analysis Application
- News Classification System
15+ Hands-on Mini Projects
- Calculator Application
- Student Information System
- Unit Converter
- ATM Simulator
- Student Marks Analyzer
- Sales Dataset Analysis
- Car Sales Analysis
- House Price Prediction
- Loan Prediction System
- Disease Prediction System
- Customer Classification System
- Image Resizer Tool
- Photo Enhancement Application
- Customer Churn Prediction
- Cat vs Dog Classification
- Spam Detection System
- Sentiment Analysis Application
- News Classification System
Career Opportunities
- Python Developer
- Data Analyst
- Business Analyst
- Machine Learning Engineer
- AI Engineer
- Deep Learning Engineer
- Computer Vision Engineer
- NLP Engineer
- Data Scientist
- Research Assistant – AI & ML
Internship Outcomes
- Develop Python Applications
- Perform Data Analytics & Visualization
- Build Machine Learning Models
- Work with Image Processing Techniques
- Develop Deep Learning Applications
- Perform NLP Tasks & Text Analytics
- Build ANN, CNN, RNN & LSTM Models
- Complete Real-World AI Projects
- Prepare Technical Portfolio
- Gain Industry-Oriented AI Skills
🚀 Learn Python. Build AI. Create the Future.
Python AI Training & Internship Program
From Coding Fundamentals to Artificial Intelligence Applications in Just 12 Days!
Python AI Training & Internship Program
From Coding Fundamentals to Artificial Intelligence Applications in Just 12 Days!