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Learn The Fundamentals

Neelgai Bootcamp is a rigorous bootcamp where you will get to build websites, apps, and launch your tech career.

Gain hands-on experience with industry tools and frameworks. Receive personalized mentorship and launch your career in tech. Transform your coding skills and thrive in the digital world.

Learn Python & React

Dive into Python and React, mastering coding fundamentals and building dynamic, interactive web applications.

From Python fundamentals to advanced React concepts, learn to develop dynamic web applications. Dive deep into both languages, gain practical experience through projects, and prepare for a successful career in full-stack development.

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Month 1 & 2Foundations of PythonJavaScript, React, Tailwind CSS, Git with Projects
Week 1-2
  • Introduction to Python
  • Basics of Python syntax, data types, variables, and operators
  • Control flow statements (if, elif, else, loops)
  • Data Structures and Functions in Python
  • Introduction to JavaScript: History, importance, and basic syntax.
  • Variables and Data Types: Understanding variables, data types, and basic operators.
  • Control Structures and Loops: If-else, switch, for, while.
  • Functions and DOM Manipulation: Functions, arrays, objects, and basic DOM manipulation.
Week 3-4
  • Introduction to Databases
  • Basics of relational databases (SQL vs. NoSQL)
  • SQL fundamentals: querying, CRUD operations
  • Database Design and Modeling
  • Advanced JavaScript Topics: Closures, higher-order functions, and advanced DOM manipulation.
  • Introduction to Git: Basic Git commands, creating a GitHub repository, and pushing changes.
  • Git Branching and Merging: Understanding Git workflows, branching, and merging.
  • Practice and Review: Practice exercises, Q&A sessions, and review of JavaScript concepts.
Week 5-6
  • Lists, tuples, dictionaries, and sets
  • Functions, parameters, return statements, and scope
  • Object-Oriented Programming (OOP) in Python
  • Classes, objects, inheritance, and polymorphism
  • Introduction to React: Setting up a React environment, JSX basics, and components.
  • State and Props: Understanding state, props, event handling, and lifecycle methods.
  • Introduction to Tailwind CSS: Setting up Tailwind CSS in a React project and basic styling.
  • Using Tailwind CSS in React: Applying Tailwind CSS classes and utilities in React components.
Week 7-8
  • Encapsulation, abstraction, and constructors
  • RESTful API Development
  • Building RESTful APIs with Flask or Django in Python
  • API documentation and testing
  • Advanced React Topics: Hooks (useState, useEffect), Context API, and React Router basics.
  • Introduction to Redux: Setting up Redux, actions, reducers, and connecting components to the store.
  • User Authentication with JWT Tokens: Implementing authentication in React, handling JWT tokens, and authorizing access.
  • Final Project Preparation: Reviewing key concepts, preparing for the final project, and ensuring Git integration.
Month 3Capstone Project Implementation, Presentation and Graduation
Week 9-10
  • Database Integration with Python
  • Connecting Python applications to databases (e.g., SQLite, MySQL)
  • Performing CRUD operations from Python using SQLAlchemy or ORM
Week 11-12
  • Final Project and Presentation
  • Work on a comprehensive project integrating Python backend, React frontend, and database
  • Present the final project and receive feedback from peers and instructors
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Learn Data Science

Intensive program covering data analysis, ML, NLP, and big data.

The data science bootcamp offers an intensive program covering fundamental concepts in data analysis, machine learning, and big data technologies. Participants gain hands-on experience with Python, Jupyter Notebooks, and cloud computing platforms. Real-world projects and guest lectures provide practical insights into the applications of data science across diverse industries.

Month 1Introduction to Data Science and Python
Week 1-2
  • What is Data Science?
  • Introduction to Data Analysis and Machine Learning
Week 3-4
  • Introduction to Python Programming Language
  • Basic Syntax, Data Types, and Variables
  • Control Flow: if, elif, else statements and loops
Week 5-6
  • Data Manipulation with Pandas: DataFrames, Indexing, and Filtering
  • Data Visualization with Matplotlib and Seaborn
  • Exploratory Data Analysis (EDA) Techniques
Month 2Foundations of Machine Learning
Week 7-8
  • Basics of Machine Learning: Concepts and Terminology
  • Supervised Learning: Linear Regression, Logistic Regression
  • Model Evaluation and Validation Techniques
Week 9-10
  • Decision Trees and Random Forests
  • Naive Bayes Classifier
  • Model Selection and Hyperparameter Tuning
Week 11-12
  • Unsupervised Learning: Clustering (KMeans, Hierarchical)
  • Dimensionality Reduction Techniques: PCA, t-SNE
  • Model Deployment and Serving: Introduction to Flask
Month 3Advanced Topics and Capstone Project
Week 13-14
  • Ensemble Learning Techniques: Gradient Boosting, AdaBoost
  • Support Vector Machines (SVM)
  • Neural Networks: Introduction to Deep Learning
Week 15-16
  • Introduction to Deep Learning Libraries: TensorFlow, Keras
  • Building and Training Neural Networks
  • Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
Week 17-18
  • Capstone Project: Forming Project Teams, Identifying Scope and Objectives
  • Data Acquisition, Preparation, Modeling, and Presentation