Enroll in Python AI Full Stack Development

Introduction to Python and Its Role in AI Development

Understand why Python dominates AI and full stack work and see the course roadmap. Explore real products built with Python.

Installing Python and Configuring VS Code

Install Python, set up VS Code, and run scripts from the editor and terminal. Verify the setup with a first program.

Virtual Environments and Package Management with pip

Create isolated environments and install packages with pip. Learn how to manage dependencies with requirements files.

Writing and Running Your First Python Programs

Write scripts using print, comments, and simple input. Learn how Python executes code line by line.

Using Jupyter Notebooks and Google Colab

Work with notebooks for experiments and quick prototyping. Learn cells, markdown, and sharing notebooks.

Variables, Naming Rules, and Dynamic Typing

Create variables and understand how Python handles types dynamically. Apply naming conventions that keep code clear.

Numbers and Arithmetic Operations

Work with integers, floats, and math operators. Handle precision issues and use the math module.

Strings and Text Manipulation

Use indexing, slicing, and string methods to process text. Practice cleaning and transforming real text data.

Formatted Output with f-Strings

Format output cleanly using f-strings and format specifiers. Build readable reports from variable values.

Booleans, Comparison, and Logical Operators

Evaluate conditions using comparison and logical operators. Understand truthy and falsy values in Python.

Conditional Statements with if, elif, and else

Write branching logic to make programs respond to different inputs. Practice with grading and eligibility examples.

Nested Conditions and Complex Decision Making

Combine and nest conditions to model real-world rules. Simplify complex logic for readability.

for Loops and the range Function

Iterate over sequences and number ranges using for loops. Solve counting and summation problems.

while Loops and Loop Control Statements

Use while loops with break, continue, and pass. Avoid infinite loops and design clear exit conditions.

Nested Loops and Pattern Printing

Use loops inside loops to build patterns and tables. Strengthen logical thinking through visual output.

Lists and List Operations

Create and modify lists using indexing, slicing, and methods. Apply lists to everyday data tasks.

List Comprehensions and Sorting Techniques

Write concise list comprehensions and sort data with custom keys. Compare them with traditional loops.

Tuples and Immutability

Understand tuples, packing, and unpacking. Learn when immutable data is the better choice.

Dictionaries and Key-Value Data Modeling

Store and retrieve data with dictionaries and their methods. Model records such as students and products.

Sets and Membership Operations

Use sets to remove duplicates and perform union and intersection. Understand performance benefits of fast lookups.

Defining Functions with Parameters and Return Values

Create functions that accept inputs and return results. Understand why functions make code reusable.

Default, Keyword, and Variable-Length Arguments

Use default values, keyword arguments, args, and kwargs. Design flexible function signatures.

Scope, Lambda Functions, and Built-in Helpers

Understand local and global scope and write lambda expressions. Use map, filter, and zip effectively.

Modules, Packages, and the Standard Library

Import built-in modules and create your own. Explore useful libraries like random, datetime, and collections.

Exception Handling with try, except, and finally

Catch and handle runtime errors gracefully. Raise custom exceptions to enforce correct usage.

Problem Solving Framework and Algorithmic Thinking

Break problems into steps using pseudocode and flowcharts. Learn to plan before writing code.

Solving Problems with Strings and Lists

Practice common interview-style problems such as palindromes, reversals, and frequency counts. Compare multiple solutions.

Recursion Fundamentals and Practical Examples

Understand base cases and recursive calls through factorial and Fibonacci. Compare recursion with iteration.

Searching and Sorting Algorithms Basics

Implement linear and binary search along with bubble and selection sort. Discuss efficiency at an introductory level.

Testing and Debugging with assert and unittest

Write simple tests to verify function behavior. Use debugging tools to trace and fix logic errors.

Lists and List Operations

Create, index, slice and modify lists using common methods. Practice real-world tasks such as cleaning and sorting records.

Tuples and Immutability

Understand when to use tuples instead of lists and how unpacking works. Explore immutability and its benefits in safe data handling.

Sets and Set Operations

Use sets to remove duplicates and perform union, intersection and difference. Apply them to fast membership testing.

Dictionaries and Key-Value Modeling

Build and update dictionaries to represent structured data. Learn safe access patterns using get and default values.

Nested Data Structures and JSON-like Data

Work with lists of dictionaries and dictionaries of lists. Read and reshape nested data similar to API responses.

Big O Notation and Complexity Basics

Learn to estimate how code scales with input size. Compare common time complexities using simple examples.

Stacks and Queues

Implement stacks and queues using lists and deque. Solve problems such as bracket matching and task scheduling.

Linked Lists

Build singly linked lists from scratch with insert, delete and traverse operations. Understand how they differ from Python lists.

Searching Algorithms

Implement linear and binary search and compare their performance. Learn when sorted data makes searching faster.

Sorting Algorithms

Code bubble, selection and merge sort and observe their trade-offs. Learn how Python's built-in sort compares.

Classes and Objects

Define classes and create objects with attributes and methods. Understand the idea of modeling real-world entities in code.

Constructors and Instance Attributes

Use the init method to set up object state. Distinguish instance attributes from class attributes.

Encapsulation and Properties

Protect internal data using naming conventions and property decorators. Add validation to attribute access.

Inheritance and Method Overriding

Create subclasses that reuse and extend parent behavior. Use super to build clean class hierarchies.

Polymorphism and Abstract Classes

Write code that works across different object types through shared interfaces. Define abstract base classes to enforce structure.

Composition versus Inheritance

Compare building objects from smaller parts with extending parent classes. Decide which approach fits each design problem.

Class Methods and Static Methods

Use classmethod and staticmethod decorators for alternative constructors and utilities. Learn when each is appropriate.

Dataclasses and Modern Python Models

Reduce boilerplate with dataclasses and type hints. Build clean data-holding classes quickly.

SOLID Principles in Python

Learn the five SOLID principles through short Python examples. Refactor a messy class into a cleaner design.

Exception Handling and Custom Exceptions

Handle errors with try, except and finally blocks. Define custom exceptions to make programs more reliable.

Introduction to Version Control and Git Setup

Understand why version control matters and install and configure Git. Create a first repository and explore its structure.

Staging, Committing and Viewing History

Use add, commit, status and log to record project changes. Write clear commit messages that explain the work.

Branching and Switching Workflows

Create and switch branches to develop features safely. Understand how branches isolate work from the main line.

Merging and Resolving Conflicts

Merge branches and fix conflicts step by step. Build confidence handling overlapping changes.

Undoing Changes Safely

Use restore, reset, revert and stash to correct mistakes. Learn which command is safest in each situation.

GitHub Basics and Remote Repositories

Create a GitHub account and connect local repositories to remotes. Practice push, pull and clone operations.

SSH Keys and Secure Authentication

Set up SSH keys or tokens for safe access to repositories. Understand basic security habits for developers.

Forks, Pull Requests and Code Reviews

Contribute to a project through forks and pull requests. Give and receive constructive review feedback.

Team Branching Strategies and Rebase

Compare feature branching and trunk-based workflows. Use rebase to keep history clean and linear.

Issues, Project Boards and README Writing

Track tasks with GitHub issues and boards. Write a strong README and portfolio-ready project documentation.

How the Web Works and Setting Up the Dev Environment

Understand browsers, servers, HTTP and the request-response cycle. Set up VS Code, Live Server and browser developer tools.

HTML Document Structure and Core Elements

Write a complete HTML5 document using headings, paragraphs, links, images and lists. Learn how the browser parses and renders markup.

Semantic HTML and Page Layout Tags

Use header, nav, main, section, article and footer to give pages meaning. Understand why semantics matter for SEO and accessibility.

Tables, Media and Embedded Content

Present data with tables and embed audio, video and iframes. Optimize images and media for the web.

Forms and Input Controls

Build forms with text fields, selects, checkboxes, radio buttons and buttons. Apply built-in HTML validation attributes.

CSS Syntax and Ways to Add Styles

Apply inline, internal and external CSS and understand rule structure. Learn how to organize stylesheets in a project.

Selectors, Specificity and the Cascade

Target elements with class, ID, attribute and combinator selectors. Resolve style conflicts using specificity and inheritance.

The Box Model and Element Sizing

Work with margin, padding, border and box-sizing. Debug spacing issues using browser developer tools.

Typography, Colors and Backgrounds

Style text with web fonts and apply color systems, gradients and background images. Build readable and consistent visual design.

Pseudo Classes, Transitions and Animations

Add hover and focus states and smooth transitions. Create keyframe animations that enhance user experience.

Responsive Design Principles and Media Queries

Apply the mobile-first approach with viewport settings and breakpoints. Test designs across device sizes.

Flexbox Layout in Depth

Align and distribute items along main and cross axes. Build navbars, cards and centered layouts with Flexbox.

CSS Grid for Two Dimensional Layouts

Define rows, columns and grid areas to create complex page layouts. Combine Grid with Flexbox where each fits best.

Positioning, Z-Index and Overflow

Use relative, absolute, fixed and sticky positioning. Control stacking order and overflow for overlays and sticky headers.

Bootstrap Framework Essentials

Use the Bootstrap grid, components and utility classes to build pages quickly. Customize the framework to match a brand.

JavaScript Basics, Variables and Data Types

Declare variables with let and const and work with strings, numbers and booleans. Compare JavaScript syntax with Python.

Operators, Conditions and Loops

Write decision logic and repeat tasks using if, switch, for and while. Understand type coercion and strict equality.

Functions, Scope and Arrow Functions

Create reusable functions and understand local and global scope. Use arrow functions and default parameters.

Arrays and Array Methods

Store collections and process them with map, filter, reduce and forEach. Apply spread and destructuring syntax.

Objects, JSON and Classes

Model data with objects and classes and convert it to and from JSON. Understand the this keyword and prototypes at a basic level.

Understanding the DOM and Selecting Elements

Explore the DOM tree and select nodes with querySelector and related methods. Read and change content and attributes.

Modifying Elements and Styles Dynamically

Create, insert and remove elements and toggle classes. Update styles in response to user actions.

Event Handling and Event Delegation

Respond to clicks, key presses and form events. Use event bubbling and delegation for efficient handlers.

Form Handling and Client Side Validation

Read form values, validate input with JavaScript and show helpful error messages. Prevent default submission behavior.

Browser Storage with localStorage and sessionStorage

Persist user data and preferences in the browser. Build features like theme switchers and saved to-do lists.

Asynchronous JavaScript and the Event Loop

Understand callbacks, timers and how the event loop schedules work. Recognize problems like callback nesting.

Promises and Async Await

Handle asynchronous tasks with promises and async await syntax. Manage errors and run tasks in parallel.

Fetch API and Working with REST APIs

Send GET and POST requests and render JSON responses on the page. Handle loading and error states gracefully.

ES6 Modules and Modern JavaScript Features

Split code into modules using import and export. Apply optional chaining, template literals and other modern syntax.

Package Management and Build Tools with npm and Vite

Install packages with npm and bundle a project using Vite. Understand development servers and production builds.

Introduction to React and the Virtual DOM

Understand why React exists and how the virtual DOM updates the screen efficiently. Compare it with plain JavaScript DOM manipulation.

Setting Up a React Project with Vite

Create a new React project using Vite and Node tooling. Explore the folder structure and run the development server.

Writing JSX and Embedding Expressions

Learn JSX syntax rules and how to embed JavaScript expressions in markup. Practice conditional output and list output in JSX.

Creating and Composing Functional Components

Build reusable functional components and combine them into larger layouts. Learn naming conventions and file organization.

Passing Data with Props

Send data from parent to child components using props. Apply default values and destructuring for cleaner code.

Understanding State with the useState Hook

Store changing values in components using useState. See how state updates trigger re-rendering.

Handling Click and Input Events

Attach event handlers to buttons and inputs and read event data. Build a counter and a live text preview.

Updating Objects and Arrays in State Immutably

Update complex state safely using spread syntax and array methods. Avoid common mutation bugs.

Lifting State Up and Sharing Data

Move state to a common parent so sibling components can share data. Practice with a filter and list example.

Building a Controlled Component Interface

Bind input values to state to create controlled elements. Build a searchable list with instant feedback.

Side Effects with the useEffect Hook

Run code after rendering using useEffect and dependency arrays. Understand when effects run and why.

Cleaning Up Effects and Avoiding Common Pitfalls

Clear timers and listeners with cleanup functions. Fix infinite loops and stale values.

Using useRef for DOM Access and Persistent Values

Access DOM elements directly and store values that do not trigger re-rendering. Build an auto focus input.

Optimizing with useMemo and useCallback

Avoid unnecessary calculations and re-renders using memoization hooks. Learn when optimization is worthwhile.

Managing Complex State with useReducer

Organize state transitions using reducers and actions. Refactor a form or cart to use useReducer.

Client Side Routing with React Router

Configure routes and navigation links to create a multi page feel. Display different pages without reloading.

Dynamic Routes and URL Parameters

Create detail pages using route parameters and query strings. Build a product detail view.

Protected Routes and Layouts

Use nested routes and shared layouts and restrict pages to logged in users. Redirect visitors appropriately.

Form Handling and Validation with React Hook Form

Build forms with validation rules and clear error messages. Reduce boilerplate using a form library.

Sharing Data with the Context API

Avoid prop drilling by providing shared data through context. Build a theme switcher and user context.

Fetching Data with Fetch and Async Await

Request data from public APIs and display results in components. Handle responses and parse JSON.

Handling Loading and Error States

Show spinners and friendly error messages during requests. Design resilient data driven screens.

Using Axios and Organizing API Services

Create a reusable API layer with Axios and interceptors. Keep network code out of components.

Data Fetching and Caching with React Query

Simplify server state using queries and mutations with built in caching. Refetch data automatically.

Pagination, Search and Infinite Scrolling

Add pagination and debounced search to large data lists. Implement infinite scroll for smooth browsing.

Styling with CSS Modules and Tailwind CSS

Apply scoped styles and utility classes to build consistent layouts. Compare both approaches for real projects.

Building Responsive Layouts and Reusable UI Kits

Create responsive components such as cards, modals and navbars. Assemble them into a small design system.

Animations and Micro Interactions

Add smooth transitions and animations to improve user experience. Use Framer Motion for simple effects.

Testing Components with Vitest and Testing Library

Write unit tests that check rendering and user interactions. Learn what to test and what to skip.

Performance, Accessibility and Code Splitting

Improve load speed using lazy loading and audit pages for accessibility. Apply fixes using Lighthouse reports.

How the Web Works: HTTP, Requests and Responses

Understand the client-server model, HTTP methods, status codes and headers. Inspect real requests using browser developer tools.

Setting Up Flask and Virtual Environments

Create isolated Python environments and launch a first Flask application. Learn project structure and running the development server.

Routing, Views and URL Parameters in Flask

Define routes, handle dynamic URL segments and return different response types. Practice with query strings and path variables.

Templates and Forms with Jinja2

Render dynamic HTML with Jinja2 templates and process form submissions. Apply template inheritance for reusable layouts.

Flask Blueprints and Application Structure

Organize larger Flask apps using blueprints and configuration files. Apply the application factory pattern.

Relational Database Design and SQL Basics

Model data with tables, keys and relationships. Write core SQL queries for creating, reading, updating and deleting records.

Advanced SQL: Joins, Aggregations and Indexes

Combine tables with joins and summarize data with grouping. Learn how indexes improve query performance.

SQLAlchemy Models in Flask

Define models and map Python classes to database tables. Perform CRUD operations through the ORM.

Relationships and Migrations with Flask-Migrate

Implement one-to-many and many-to-many relationships. Evolve database schemas safely using migrations.

Working with MongoDB and NoSQL Concepts

Compare document databases with relational ones and store data in MongoDB using Python. Decide when NoSQL fits a use case.

Introduction to Django and Project Anatomy

Create a Django project and understand apps, settings and the manage.py tool. Learn the Model-Template-View architecture.

Django Models and the ORM

Define models, field types and constraints, then query data using the Django ORM. Use the Django shell for experimentation.

Migrations and the Django Admin Interface

Generate and apply migrations and customize the admin panel. Manage application data without writing extra code.

Views, URL Configuration and Templates

Write function-based views and map them with URL patterns. Render pages using the Django template language.

Class-Based Views and Generic Views

Reduce repetition with class-based and generic views for lists, details and forms. Understand mixins and reuse.

REST Principles and API Design Standards

Learn resources, verbs, status codes and versioning conventions. Design endpoints and payloads before coding.

Building a REST API with Flask

Create CRUD endpoints in Flask returning JSON responses. Test them with Postman and curl.

Serialization and Validation with Marshmallow

Convert models to JSON and validate incoming data using schemas. Return helpful error messages to clients.

Django REST Framework Serializers and API Views

Set up Django REST Framework and build serializers and API views. Compare function-based and class-based API approaches.

ViewSets, Routers and Nested Resources

Use ViewSets and routers to generate endpoints quickly. Handle nested and related resources cleanly.

Session Authentication and User Management in Django

Implement registration, login, logout and password reset flows. Customize the user model for real projects.

Password Hashing and Secure Credential Storage

Understand hashing, salting and why plain-text storage is dangerous. Apply secure password handling in Flask and Django.

Token and JWT Authentication for APIs

Issue and verify JSON Web Tokens for stateless authentication. Handle token expiry and refresh flows.

Permissions, Roles and Access Control

Restrict resources with permissions and role-based access. Apply object-level checks in DRF.

Common Web Vulnerabilities and Defenses

Study SQL injection, XSS and CSRF with practical demonstrations. Apply framework protections and secure coding habits.

Unit Testing Backend Code with Pytest

Write isolated tests using pytest and fixtures. Measure coverage and test business logic.

Testing Django Views and REST APIs

Use Django test client and DRF test tools to verify endpoints. Cover authentication and error cases.

Background Tasks, Email and File Uploads

Send emails, handle file uploads and run asynchronous jobs with Celery. Understand task queues and brokers.

Connecting React Frontend to the Backend API

Consume the API from React using fetch and Axios and manage auth tokens. Resolve integration and CORS issues.

Capstone Planning: Designing the Backend Architecture

Define requirements, data models and endpoints for a full-stack project. Document the design and plan milestones.

Introduction to Databases and DBMS Concepts

Understand why applications need databases and how a database management system stores and retrieves data. Compare file storage with relational systems.

Tables, Rows, Columns and Data Types

Learn how relational tables are structured and choose suitable data types for each column. Set up PostgreSQL and explore it with a client tool.

Primary Keys, Foreign Keys and Constraints

Use keys and constraints to protect data integrity and link tables together. Practice with unique, not null and check rules.

Entity Relationship Diagrams and Table Relationships

Model one-to-one, one-to-many and many-to-many relationships using ER diagrams. Translate a diagram into a working schema.

Normalization and Schema Design Best Practices

Apply the first three normal forms to remove redundancy and update anomalies. Learn when denormalization is a reasonable trade-off.

Creating Databases and Tables with DDL

Use CREATE, ALTER and DROP to build and change database structures. Understand migrations as a safe way to evolve schemas.

Inserting, Updating and Deleting Records with DML

Manipulate data using INSERT, UPDATE and DELETE statements. Learn safe habits such as using WHERE clauses carefully.

Retrieving Data with SELECT, WHERE and ORDER BY

Write queries that filter, sort and limit results. Use operators such as IN, BETWEEN and LIKE.

Aggregate Functions, GROUP BY and HAVING

Summarize data with COUNT, SUM, AVG, MIN and MAX. Group results and filter groups to build simple reports.

Working with NULL Values, Dates and String Functions

Handle missing data correctly and use built-in functions for text and date manipulation. Avoid common pitfalls with NULL comparisons.

Joins Across Multiple Tables

Use INNER, LEFT, RIGHT and FULL joins to combine related data. Choose the right join for each business question.

Subqueries and Common Table Expressions

Break complex problems into readable steps with subqueries and CTEs. Compare their clarity and performance.

Window Functions and Analytical Queries

Rank rows, compute running totals and compare values across rows using window functions. Apply them to dashboard-style requirements.

Indexes and Query Optimization

Learn how indexes speed up lookups and when they hurt write performance. Read query plans with EXPLAIN to find slow spots.

Transactions, ACID and Concurrency Control

Group statements into transactions and understand ACID guarantees. Explore isolation levels and common problems such as dirty reads and deadlocks.

Connecting Python to Databases with psycopg and SQLAlchemy Core

Open connections, run parameterized queries and fetch results from Python code. Understand connection management and cleanup.

Django Models, Migrations and the Admin Panel

Define models, generate migrations and manage data through the Django admin. Configure the project to use PostgreSQL.

Django ORM Queries, Relationships and Aggregations

Write filters, related lookups and aggregations using the Django ORM. Reduce query counts with select_related and prefetch_related.

Flask with SQLAlchemy Models and Alembic Migrations

Build declarative models in Flask and version schema changes with Alembic. Compare the Flask approach to Django conventions.

Preventing SQL Injection and Handling Data Validation

See how injection attacks work and prevent them with parameterized queries and ORM protections. Validate input before it reaches the database.

Introduction to NoSQL and When to Use It

Understand document, key-value, column and graph databases and their trade-offs against relational systems. Learn the basics of the CAP theorem.

MongoDB Fundamentals and Document Modeling

Create collections and documents and decide between embedding and referencing. Perform basic CRUD in the Mongo shell.

Using MongoDB with Python through PyMongo

Connect a Python application to MongoDB and run queries and updates. Build simple aggregation pipelines for summaries.

Redis Basics and Caching Strategies

Store data in Redis and use it to cache expensive queries and sessions. Learn expiry, invalidation and cache-aside patterns.

Pagination, Search and Handling Large Datasets

Implement efficient pagination and basic full-text search in an application. Avoid performance traps with large tables.

Authentication Concepts and Secure Password Storage

Learn the difference between authentication and authorization and why passwords must be hashed. Use bcrypt or Argon2 with salting.

Sessions, Cookies and Django Authentication System

Understand how sessions and cookies keep users logged in. Implement registration, login and logout with Django auth.

Token Based Authentication with JWT

Issue and verify JSON Web Tokens for stateless APIs. Handle expiry and refresh tokens and secure their storage on the client.

Role Based Access Control and Permissions

Restrict endpoints and data by user roles and object level permissions. Apply these in Django REST Framework and Flask.

OAuth 2.0, Social Login and Email Verification

Add Google or GitHub sign-in using OAuth 2.0 and build email verification and password reset flows. Understand the authorization code flow.

Introduction to Machine Learning Concepts

Understand supervised, unsupervised and reinforcement learning with real application examples. Map common product features to the right learning type.

NumPy Arrays and Vectorized Computation

Create and manipulate arrays, use broadcasting and replace slow loops with vectorized operations.

Data Analysis with Pandas DataFrames

Load, filter, group and merge datasets using Pandas. Summarize data to find patterns before modeling.

Data Cleaning and Missing Value Handling

Detect duplicates, outliers and missing values and apply sound cleaning strategies.

Exploratory Data Analysis and Visualization

Use Matplotlib and Seaborn to visualize distributions and relationships. Draw insights that guide feature choices.

Regression Models for Numeric Prediction

Train linear regression models to predict values such as prices. Interpret coefficients and errors.

Classification with Logistic Regression and KNN

Build classifiers for yes or no and multi-class problems and compare their behavior.

Decision Trees and Random Forests

Train tree-based models and understand feature importance. See how ensembles reduce overfitting.

Model Evaluation Metrics and Cross Validation

Use accuracy, precision, recall, F1 and ROC curves with k-fold validation to judge models fairly.

Hyperparameter Tuning and Pipelines

Automate preprocessing and training with pipelines and optimize settings using grid and random search.

Neural Network Fundamentals

Understand neurons, layers, activation functions and backpropagation at an intuitive level.

Building Neural Networks with TensorFlow and Keras

Define, compile and train a feed-forward network on a tabular dataset using Keras.

Image Classification with Convolutional Networks

Train a CNN to classify images and learn how convolution and pooling extract visual features.

Transfer Learning with Pretrained Models

Reuse pretrained models to get strong results with little data and short training time.

Text Processing and Sentiment Analysis

Tokenize, vectorize and classify text to build a sentiment analysis feature.

How Large Language Models Work

Learn transformers, tokens, context windows and why models generate fluent but sometimes wrong text.

Prompt Engineering Techniques

Write clear prompts using roles, examples and constraints to get reliable outputs.

Working with LLM APIs in Python

Call hosted model APIs, manage keys securely and handle parameters like temperature and token limits.

Structured Outputs and Function Calling

Get JSON responses and let models trigger application functions to connect AI with business logic.

Streaming Responses and Conversation Memory

Stream tokens to users and manage chat history within context limits.

Introduction to Retrieval Augmented Generation

Understand why grounding answers in documents reduces hallucination and how the RAG pipeline flows.

Document Loading and Text Chunking

Load PDFs and web content, then split text into chunks that preserve meaning for retrieval.

Vector Databases and Similarity Search

Store embeddings in a vector database and retrieve the most relevant chunks for a query.

Building a Question Answering Chatbot

Combine retrieval and an LLM to answer questions over custom documents with source citations.

AI Agents and Tool Usage

Build agents that choose tools such as search, calculators and databases to complete multi-step tasks.

Saving and Loading Trained Models

Serialize models with joblib and Keras formats and version them for reuse in applications.

Serving Predictions with Flask and Django APIs

Wrap trained models in REST endpoints with input validation and clear error responses.

Connecting AI Endpoints to the React Frontend

Build chat and prediction interfaces in React with loading states and streamed output.

Background Tasks and Caching for AI Workloads

Use task queues and caching to handle slow model calls and reduce API cost.

Responsible AI, Privacy and Cost Control

Address bias, data privacy, rate limits and token costs when shipping AI features.

Environment Variables and Configuration Management

Separate secrets and settings from code using environment files and settings modules. Configure development, testing and production environments cleanly.

Production Settings for Django and Flask Apps

Set debug flags, allowed hosts, static file handling and secure cookies for production. Understand common misconfigurations that cause outages.

Web Servers with Gunicorn and Nginx

Run Python applications behind Gunicorn and use Nginx as a reverse proxy. Learn how requests flow from browser to application.

Building and Optimizing the React Production Bundle

Create optimized React builds and serve them with proper caching. Connect the frontend to the deployed backend API.

Logging, Error Handling and Application Monitoring

Add structured logging and error tracking to catch issues early. Review logs to debug live problems.

Containers and Docker Fundamentals

Understand images, containers and how Docker differs from virtual machines. Install Docker and run your first containers.

Writing Dockerfiles for Python Applications

Write Dockerfiles for Django and Flask apps with proper base images and dependency layers. Build and run the resulting images locally.

Multi-Stage Builds and Image Optimization

Reduce image size and build time using multi-stage builds and dockerignore files. Follow best practices for secure images.

Docker Compose for Multi-Service Applications

Run the backend, frontend and database together using a single Compose file. Manage networks, ports and service dependencies.

Volumes, Networking and Persistent Data

Persist database data using volumes and connect containers through custom networks. Troubleshoot common container communication issues.

Introduction to CI/CD Concepts and Workflows

Learn why continuous integration and delivery matter for team projects. Map out a pipeline from commit to production.

Automated Testing with Pytest for Backend Code

Write unit and API tests for Django and Flask endpoints. Measure coverage and run tests automatically.

Building GitHub Actions Workflows

Create workflow files that run linting and tests on every push or pull request. Read pipeline logs to fix failures.

Building and Publishing Docker Images in Pipelines

Automate Docker image builds and push them to a container registry. Tag images with versions and commit hashes.

Automated Deployment and Release Strategies

Deploy automatically after successful builds and understand rolling releases and rollbacks. Manage secrets safely inside pipelines.

Cloud Computing Fundamentals and Service Models

Understand IaaS, PaaS and serverless along with regions, pricing and shared responsibility. Choose the right model for a project.

Deploying Backend APIs on Render and Railway

Deploy Django and Flask apps to beginner-friendly platforms with managed databases. Configure environment variables and custom domains.

Hosting React Frontends on Vercel and Netlify

Deploy the React application with automatic builds from Git. Configure redirects and environment variables for API access.

Deploying on AWS EC2 with Docker

Launch a virtual server, install Docker and run the application stack. Configure security groups, SSH access and elastic IPs.

Cloud Storage, Databases and Managed Services

Use S3 for file storage and managed relational databases such as RDS. Connect them securely to the deployed application.

Capstone Planning, Requirements and Architecture Design

Select a project idea and define features, user stories and system architecture. Plan milestones and the tech stack.

Capstone Build Sprint: Backend and AI Integration

Develop the API, database and AI features for the capstone with mentor guidance. Apply testing and version control practices.

Capstone Build Sprint: Frontend and User Experience

Build the React interface and connect it to the backend. Improve usability, responsiveness and error states.

Capstone Containerization and Cloud Deployment

Dockerize the complete project and deploy it with a CI/CD pipeline. Verify the live application end to end.

Writing Documentation and Professional README Files

Document setup steps, architecture and API usage clearly. Add diagrams, screenshots and demo links to the repository.

Python and Data Structures Interview Questions

Practice commonly asked Python, OOP and data structure questions with clear explanations. Improve speed and accuracy on coding rounds.

Full Stack and System Design Interview Basics

Answer questions on REST APIs, databases, authentication and React. Learn to explain simple system designs step by step.

AI and Machine Learning Interview Questions

Review core machine learning concepts and GenAI integration topics asked in interviews. Explain model choices and project trade-offs.

Resume, LinkedIn and GitHub Profile Optimization

Build an ATS-friendly resume and a strong LinkedIn and GitHub presence. Highlight projects with measurable outcomes.

Mock Technical Interviews and Feedback

Take live mock interviews covering coding, projects and concepts. Review performance and fix weak areas.