Data Science: AI & Machine Learning

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 — DATA FOUNDATIONS & PYTHON FOR DATA SCIENCE

WEEK 1: Introduction to Data Science & Python Programming

What is Data Science?
Data Scientist vs Data Analyst vs ML Engineer
AI vs ML vs Deep Learning
Data Science lifecycle & industry workflow
Types of data (structured, semi-structured, unstructured)
Python Setup (Anaconda, VS Code, Jupyter)
Python Core (Variables, Operators, Loops, Functions)

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WEEK 2: Data Handling, Cleaning & Exploratory Data Analysis

NumPy (Arrays, Indexing, Broadcasting)
Pandas (Series, DataFrames, Filtering, GroupBy)
Data Cleaning (Missing values, Outliers, Normalization)
EDA (Univariate & multivariate analysis)

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WEEK 3: Data Visualization & Business Analytics

Visualization (Matplotlib, Seaborn)
Business Storytelling (KPIs, Metrics)
Power BI Introduction (Interface, Modeling, DAX)

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WEEK 4: Statistics & Probability for Machine Learning

Statistics (Mean, Variance, Percentiles)
Probability (Conditional, Bayes theorem)
Distributions (Normal, Binomial, Poisson)
Statistical Inference (Hypothesis testing, p-value)

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MONTH 2 — MACHINE LEARNING (CORE + ADVANCED)

WEEK 5: Machine Learning Foundations

Types of ML (Supervised, Unsupervised)
ML pipeline (Feature engineering, Train-test split)
Model Evaluation (Accuracy, Precision, Recall, F1-Score)

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WEEK 6: Regression Algorithms

Linear Regression (Simple, Multiple, Polynomial)
Ridge & Lasso Regression
Error metrics (MAE, MSE, RMSE)

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WEEK 7: Classification Algorithms

Logistic Regression
K-Nearest Neighbors (KNN)
Naive Bayes, Decision Trees, Random Forest
Support Vector Machine (SVM)

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WEEK 8: Unsupervised Learning & Feature Reduction

Clustering (K-Means, Hierarchical)
Dimensionality reduction (PCA)

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MONTH 3 — AI, DEEP LEARNING & DEPLOYMENT

WEEK 9: Neural Networks & Deep Learning

Artificial Neural Networks (ANN)
Activation & Loss functions, Backpropagation
Intro to TensorFlow & PyTorch

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WEEK 10: AI Specialization — NLP & Computer Vision

NLP (Text preprocessing, Sentiment analysis)
Computer Vision (CNN, Image classification)
Transfer learning (VGG, ResNet)

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WEEK 11: AI Tools, LLMs & Full-Stack Deployment

LLMs & OpenAI API
Deployment (Django/FastAPI, Streamlit)
Git & GitHub

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WEEK 12: Final Live Capstone Project

Real-World Project Execution
Final Deliverables (Deployed app, GitHub repo, Presentation)

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Training Partner

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.

Enroll Now

Limited seats available for next batch

This course includes:

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