Codencreative
+91 9717047610

What you'll learn

  • Master Python programming from scratch to advanced level
  • Perform Data Analysis using Pandas, NumPy, and Matplotlib
  • Build Machine Learning models (Regression, Classification, Clustering)
  • Deep Learning with Neural Networks, TensorFlow and PyTorch
  • Develop Real-world Capstone Projects and deploy them
  • Job-ready portfolio building and interview preparation

Description

A comprehensive 3-month job-ready program designed to take you from a beginner to a professional Data Scientist with expertise in AI and Machine Learning. Training includes Python, Data Analytics, Deep Learning, and Full-Stack Deployment.

Course Content

Month 1 — Core Data Foundations + Python for AI

Week 1 — Intro to Data Science & Python Programming

Data Science Fundamentals
  • What is Data Science
  • Industry workflows
  • Types of data
  • ML vs AI vs Deep Learning
Python Setup
  • Install Anaconda or VS Code
  • Working with Jupyter Notebook
Python Basics
  • Variables
  • Loops
  • Functions
Practice
  • Basic Python exercises
Project: Build a calculator and simple data parser

Week 2 — Data Handling & Cleaning

NumPy
  • Arrays
  • Broadcasting
  • Vectorization
Pandas
  • DataFrames
  • Joins
  • Grouping
Data Cleaning
  • Handling missing values
  • Outliers
  • Normalization
  • Scaling
EDA
  • Exploratory Data Analysis using Pandas
Project: Clean and analyze a real dataset (COVID, E-commerce, or IPL)

Week 3 — Data Visualization

Visualization Libraries
  • Matplotlib
  • Seaborn
Plot Types
  • Bar charts
  • Line charts
  • Heatmaps
  • Histograms
Business Visualization
  • Statistical visualizations
  • Dashboard thinking
Tools
  • Introduction to Power BI
Project: Create a visual dashboard story using a dataset

Week 4 — Statistics & Probability for Machine Learning

Statistics
  • Descriptive statistics
Probability
  • Probability basics
  • Random variables
Distributions
  • Gaussian distribution
  • Bernoulli distribution
  • Poisson distribution
Analysis
  • Hypothesis testing
  • Correlation vs causation
Project: Statistical analysis of real-world dataset

Month 2 — Machine Learning Algorithms

Week 5 — Machine Learning Foundations

ML Basics
  • Supervised learning
  • Unsupervised learning
Data Preparation
  • Feature engineering basics
  • Train test split
  • Cross validation
Evaluation Metrics
  • Accuracy
  • Recall
  • F1 Score
  • ROC-AUC
Project: Build your first machine learning model using Linear Regression

Week 6 — Regression Algorithms

Regression Models
  • Linear Regression simple
  • Linear Regression multiple
  • Ridge regression
  • Lasso regression
  • Polynomial regression
Evaluation
  • Error metrics
Case Study
  • Predicting house prices
Project: Build regression-based prediction model

Week 7 — Classification Algorithms

Classification Models
  • Logistic Regression
  • KNN
  • Naive Bayes
  • Decision Trees
  • Random Forest
Industry Use Cases
  • Churn prediction
  • Fraud detection
Project: End-to-end classification project

Week 8 — Unsupervised Learning & Feature Engineering

Clustering
  • K-Means
  • Hierarchical clustering
Dimensionality Reduction
  • PCA
  • Feature reduction techniques
Industry Application
  • Customer segmentation
Project: Clustering based customer segmentation

Month 3 — AI, Deep Learning & Real Client Project

Week 9 — Neural Networks & Deep Learning

Neural Network Basics
  • What are artificial neural networks
  • Backpropagation
  • Activation functions
Frameworks
  • TensorFlow introduction
  • PyTorch introduction
Practice
  • Build first neural network
Project: Handwritten digit prediction using MNIST

Week 10 — Computer Vision or NLP

Computer Vision Track
  • CNNs
  • Image classification
  • Data augmentation
  • Transfer learning using ResNet or VGG
NLP Track
  • Tokenization
  • Embeddings
  • Sentiment analysis
  • Text classification
  • Introduction to HuggingFace models
Project: Image classifier or sentiment analysis system

Week 11 — AI Tools & LLM Integration

LLM Fundamentals
  • How GPT and LLMs work
Development
  • Using OpenAI APIs
  • Prompt engineering for automation
AI Tools
  • Text summarizer
  • Image analyzer
  • Chat based Q&A system
Project: Build mini AI tools using LLM APIs

Week 12 — Final Live Project

Industry Projects
  • ML demand forecasting
  • Customer segmentation model
  • AI chatbot for customer support
  • Lead scoring engine
  • Fraud detection model
  • Resume parser using NLP
Delivery
  • GitHub project
  • Deployment using Streamlit Flask or FastAPI
  • Presentation to team
  • Internship certificate
Project: Deploy a real world AI solution

Training Partner

Codencreative

Codencreative Tech Pvt Ltd

IT Solutions & Training Provider

We are a Jaipur-based IT company providing software solutions and high-quality training. Our "Train Inside a Company" model ensures students gain real-world experience, working on live projects under the mentorship of industry experts.

Project Training by Codencreative
Enroll Now

Limited seats available for next batch

This course includes:

  • Live Sessions
  • Downloadable Resources
  • 5+ Real-world Projects
  • Certificate of Completion
  • Internship Opportunity