Module 2: Python for Back-End Development

• Flask Web Framework
• Django Web Framework

Module 3: Databases and Back-End Integration

• SQL with Python
• NoSQL with Python

Module 4: Web APIs and RESTful Services

Module 5: User Authentication and Authorization

• AJAX and Fetch API
• WebSockets

Module 6: Front-End and Back-End Communication

• Project Setup
• Frontend-Backend Integration
• Build and Deployment

Module 7: Testing and Debugging

• Unit Testing in Python
• Front-End Testing
• End-to-End Testing

Module 8: Deployment and Cloud Services

• Web Application Deployment
• Docker
• CI/CD

Module 10: Advanced Topics

• Blogging Platform
• E-Commerce Website
• Social Media Application
• Real-Time Chat Application

Module 6: Front-End and Back-End Communication

• Microservices Architecture
• GraphQL
• Machine Learning Integration

Module 2: Mathematics & Statistics for ML

• Linear Algebra:
  1. Vectors, Matrices, and Tensors
  2. Eigenvalues and Eigenvectors
• Probability and Statistics:
  1. Probability Theory
  2. Random Variables
  3. Hypothesis Testing
• Calculus:
  1. Differentiation and Integration in ML Models
  2. Gradient Descent Optimization

Module 3: Python for AI & ML

• Python Basics:
  1. Data Structures: Lists, Tuples, Dictionaries
  2. Control Structures: Loops, Conditional Statements
• Libraries for AI & ML:
  1. NumPy, Pandas, Matplotlib, Seaborn
  2. Scikit-learn, TensorFlow, PyTorch

Module 4: Data Preprocessing & Visualization

• Data Collection and Cleaning
• Handling Missing Data
• Feature Engineering
• Data Normalization and Scaling
• Exploratory Data Analysis (EDA):
  1. Visualizations using Matplotlib and Seaborn

Module 5: Supervised Learning

• Regression Algorithms:
  1. Linear Regression
  2. Logistic Regression
  3. Polynomial Regression
• Classification Algorithms:
  1. Decision Trees
  2. Random Forest
  3. Support Vector Machines (SVM)
  4. Naive Bayes
• Model Evaluation:
  1. Confusion Matrix
  2. Precision, Recall, F1-Score
  3. ROC-AUC Curve

Module 6: Unsupervised Learning

• Clustering:
  1. K-Means
  2. Hierarchical Clustering
• Dimensionality Reduction:
  1. Principal Component Analysis (PCA)
  2. t-SNE
• Anomaly Detection

Module 7: Neural Networks & Deep Learning

• Introduction to Neural Networks:
  1. Perceptron and Multi-Layer Perceptrons (MLP)
  2. Activation Functions
• Deep Learning Frameworks:
  1. TensorFlow and Keras Basics
• Convolutional Neural Networks (CNN):
  1. Image Recognition
  2. Object Detection
• Recurrent Neural Networks (RNN):
  1. Sequence Modeling
  2. Natural Language Processing (NLP)

Module 8: Reinforcement Learning

• Basics of Reinforcement Learning
• Markov Decision Processes (MDP)
• Q-Learning and Deep Q-Learning
• Applications of Reinforcement Learning

Module 9: Natural Language Processing (NLP)

• Text Preprocessing:
  1. Tokenization, Lemmatization, Stemming
  2. Bag of Words and TF-IDF
• Sentiment Analysis
• Chatbot Development
• Introduction to Transformers and BERT

Module 10: Capstone Projects

• End-to-End ML Project:
  1. Problem Statement, Data Preprocessing, Model Building, Deployment
• Real-life Scenarios:
  1. Image Classification
  2. Predictive Analytics
  3. NLP-based Sentiment Analysis

Module 2: Object-Oriented Programming (OOP) in C#

1. Classes and Objects

• Defining classes and creating objects
• Constructors and destructors
• Understanding object initialization and instantiation

2. Encapsulation

• Access modifiers: public, private, protected, internal, and protected internal
• Properties and fields
• Auto-implemented properties
• Getters and Setters

3. Inheritance

• Inheriting classes in C#
• Method overriding and base keyword
• Polymorphism (method overloading and method overriding)
• The sealed and virtual keywords

4. Abstraction and Interfaces

• Abstract classes and methods
• Interfaces and implementing interfaces
• Differences between abstract classes and interfaces
• Default implementations in interfaces (C# 8.0+)

5. Delegates and Events

• Understanding delegates (multicast and single-cast delegates)
• Creating and invoking delegates
• Events and event handlers in C#

Module 3: C# Advanced Concepts

1. LINQ (Language Integrated Query)

• Introduction to LINQ in C#
• LINQ syntax: Method syntax and Query syntax
• Working with collections using LINQ (arrays, lists, etc.)
• LINQ operators (Where, Select, OrderBy, GroupBy, Join)

2. Collections and Generics

• Arrays, Lists, Dictionaries, Queues, Stacks
• Understanding generic types in collections
• Working with the List, Dictionary, and other collection types
• Using IEnumerable and ICollection interfaces

3. Exception Handling

• Handling exceptions with try-catch-finally
• Throwing exceptions
• Custom exceptions and error handling patterns
• The throw and throw ex differences

4. Working with Files and Streams

• Reading and writing files in C# (using File, StreamReader, StreamWriter)
• Using the FileStream class for low-level file I/O operations
• Serialization and Deserialization (JSON, XML)

Module 4: .NET Core Framework

1. Introduction to .NET Core

• What is .NET Core and how it differs from .NET Framework?
• Cross-platform development with .NET Core
• Overview of the .NET Core CLI and SDK tools
• The role of the Common Language Runtime (CLR)

2. Working with ASP.NET Core

• Introduction to ASP.NET Core
• Building your first ASP.NET Core MVC application
• Routing in ASP.NET Core
• Middleware and Request-Response pipeline
• Dependency Injection in ASP.NET Core

3. Configuration in ASP.NET Core

• Configuration settings and environment variables
• Using appsettings.json, environment-based configuration
• Using IConfiguration to access settings in the application

4. ASP.NET Core MVC Framework

• Building Model-View-Controller (MVC) applications
• Understanding controllers, views, and models
• Routing and attribute routing
• Model binding and validation
• Using Razor syntax in views

Module 5: Building Web APIs with ASP.NET Core

1. Introduction to Web APIs

• What is a RESTful API and how it works?
• Designing and building RESTful APIs using ASP.NET Core
• Setting up a Web API project with ASP.NET Core
• HTTP methods (GET, POST, PUT, DELETE) and status codes

2. Front End Overview

• Html, CSHtml, Css, Java Script
• Vite React

3. API Controllers and Routing

• Creating API controllers and action methods
• Defining routes and working with route parameters
• Returning data from APIs (JSON, XML)
• Using Ok(), NotFound(), BadRequest() for status responses

4. Consuming Web APIs

• Making HTTP requests using HttpClient in C#
• Parsing JSON responses and mapping to C# objects
• Handling authentication and authorization in Web API clients

5. API Security and Authentication

• Implementing token-based authentication (JWT) in Web APIs
• Protecting API endpoints with Authorization middleware
• Implementing OAuth 2.0 and OpenID Connect

Module 6: Data Access and Databases in .NET Core

1. Introduction to Entity Framework Core

• Overview of Entity Framework (EF) Core
• Setting up a DbContext and defining models
• Code-first vs Database-first approach
• Migrating databases with EF Core

2. Database Sql. Server

• Data Definition Language (Create, Alter, Drop, grant etc.)
• Data Manipulation Language (Insert, Update, delete, select etc.)
• Constraints
• Cursor
• Trigger
• Transaction

3. CRUD Operations with EF Core

• Creating, reading, updating, and deleting records using EF Core
• Working with LINQ queries and Lambda expressions in EF Core
• Performing complex queries and joining multiple tables

4. Database Migrations

• Adding and applying migrations using EF Core
• Updating the database schema using dotnet ef commands
• Handling database seeding and data initialization

5. Entity Relationships in EF Core

• One-to-one, one-to-many, and many-to-many relationships
• Navigating and managing related data in EF Core
• Handling cascading operations in relationships

Module 7: Advanced .NET Core Topics

1. Dependency Injection

• Introduction to Dependency Injection (DI) in .NET Core
• Using the built-in DI container for services and repositories
• Constructor injection vs property injection
• Scoped, transient, and singleton services

2. Middleware in ASP.NET Core

• What is middleware and how does it work?
• Creating custom middleware for cross-cutting concerns
• Using built-in middleware (logging, error handling, etc.)
• Middleware pipeline execution order

3. Asynchronous Programming in .NET Core

• Using async and await keywords in C#
• Asynchronous methods and their advantages
• Handling asynchronous operations in web APIs

4. Unit Testing and Test-Driven Development (TDD)

• Introduction to unit testing in .NET Core
• Writing unit tests using MSTest, xUnit, or NUnit
• Mocking dependencies with Moq or NSubstitute
• Testing controllers, services, and database interactions

Module 8: Performance and Optimization

1. Performance Optimization

• Profiling applications and identifying bottlenecks
• Using caching mechanisms (memory caching, distributed caching)
• Optimizing EF Core queries for better performance

2. Logging and Monitoring

• Implementing logging in ASP.NET Core with built-in logging providers
• Using Serilog and NLog for advanced logging scenarios
• Monitoring and analyzing application performance using Application Insights

3. Deployment and Cloud Integration

• Deploying ASP.NET Core applications to cloud platforms (Azure, AWS)
• Containerizing .NET Core applications with Docker
• Continuous Integration and Continuous Deployment (CI/CD) with GitHub Actions or Azure DevOps

Module 9: Project Work

1. Building a Full-Stack Application

• Design and develop a full-stack .NET Core application (e.g., CRUD app, e-commerce app, etc.)
• Implementing a Web API with authentication
• Database integration with Entity Framework Core
• Front-end integration with a front-end framework like React or Angular

2. Code Review and Best Practices

• Review and refactor code for readability, efficiency, and maintainability
• Incorporating best practices in C# and .NET Core development
• Code quality and documentation