Phase 1: Introduction

Module 1: Fundamentals for Beginners

Introduction to Programming
Working with Variables and Operators
Working with Control Flows
Working with Functions
Overview of Web Development Technologies
Introduction to Full Stack Development

Phase 2: Web Development

Module 2: Introduction to Git

Introduction to Git and GitHub
Tracking Changes to a Git Repository
Working with a Remote Repository in GitHub
Basic Branching and Merging Operations
Merge Conflict Resolution

Module 3: HTML and CSS Fundamentals

Structure & Syntax of HTML pages
Common HTML tags
Working with URLs
Working with Form-Related Tags
Introduction to CSS
Introduction to Document Object Model (DOM)
Basic CSS Selectors
Common CSS Properties

Module 4: Intermediate HTML and CSS

Semantic HTML5 Elements
Advanced CSS Selectors
Generating Basic Layout using CSS
CSS Flexbox
CSS Grid
Introduction to Responsive Design
Introduction to Frontend Design Frameworks
Generate Responsive Layout using CSS Frameworks
Working with Templates

Module 5: Introduction to JavaScript

Introduction to JavaScript
Variables, Data Types, and Operators in JavaScript
Conditional Control Flow with JavaScript
Iterative Control Flow with JavaScript
JavaScript Functions
Arrays and Objects in JavaScript
DOM Programming Interface for HTML
Basic DOM Manipulation with JavaScript

Module 6: Introduction to Python

Variables, Data Types, and Operators in Python
Basic Input and Output with Python
Conditional Control Flow with Python
Iterative Control Flow with Python
Python Functions
Basic Data Structures in Python
Limitations of Python Basic Data Structures
Overview of Python Libraries for Data Science and AI
Data Processing with NumPy ndarray
Introduction to Pandas Series
Introduction to Pandas DataFrame
Data Preparation with Pandas DataFrame
Data Visualisation with Matplotlib

Phase 3: Frontend Development

Module 7: Frontend Frameworks

Introduction to Frontend Frameworks
Traditional Approach to Frontend Development
Modern Approach to Frontend Development
Declarative Approach to Development
Component-Based Design
Single Page Applications
Getting Started with Frontend Development Frameworks

Module 8: Working with React

Introduction to React
Setting Up a React Webpage
JSX and Transpiling
Working with Props in React
JavaScript Expressions in React
ES6 Constructs in React Applications
ES6 Module System and Organising React Applications
Creating React Applications without Setup
Handling HTML and React Events
Difference Between Props and States
React Hooks and State Variables
Controlled vs Uncontrolled React Components
AJAX and the fetch() API
Working with the useEffect Hook
Working with the useRef Hook and React Hooks Rules
Using React Router for Multiple Pages
Creating and Organising React Applications with Create React App

Phase 4: Backend Development and Databases

Module 9: Relational Databases and SQL

Introduction to Database Systems
Database Modeling and Data Models
The Relational Database Model
Create an Entity Relationship (ER) Diagram
Basics of Structured Query Language (SQL)
Write SQL Data Manipulation Language (DML)
Write Advanced SELECT Queries
Write SQL Joins to Combine Data from Multiple Tables

Module 10: Introduction to Backend Development

Overview of Backend Software Engineering with JavaScript and Python
Introduction to Node.js and Express.js
Server-side Web Application Development with Express.js
Using the Pug Template Engine with Express.js
Creating Database-driven Web Application with Express.js
Introduction to Flask
Server-side Web Application Development with Flask
Using the Jinja2 Template Engine with Flask
Creating Database-driven Web Application with Flask

Module 11: Non-relational Databases and MongoDB

Introduction to NoSQL Databases
Basics of Document-based Databases
Set up MongoDB Environment for NoSQL Database
Insert and Find Documents
Query Documents and Query Operators
Query Arrays and Nested Documents
Update and Delete Documents
Connecting to MongoDB Driver for Applications

Module 12: RESTful API Development

Overview of Service-Oriented Architecture (SOA) and Microservices Architecture
Introduction to RESTful Web Services
Introduction to JSON
Best Practices in RESTful API Design
Creating RESTful API Endpoints with Express.js
Testing RESTful API Endpoints with Postman
Creating RESTful API Endpoints with Flask and Connexion

Phase 5: AI Fundamentals

Module 13: Introduction to Artificial Intelligence and Machine Learning

Overview of AI and its Subfields
Supervised, Unsupervised, and Reinforcement Learning Revisited
Overview of Python Libraries: Sklearn, Tensorflow, PyTorch, and Keras
Real-world Applications of AI and Machine Learning

Module 14: Introduction to ANN

Basics of Artificial Neuron and Activation Functions
Perceptron
Multi-layer Neural Networks
Basics on Training Neural Networks with Gradient Descent

Phase 6: Integrating AI Into Full Stack Applications

Module 15: Introduction to Deep Learning

Introduction to Deep Learning
Convolutional Neural Networks (CNNs) for Image Data with Keras Example
Recurrent Neural Networks (RNNs) for Text Data with Keras Example

Module 16: Integrating AI Models into Full Stack Applications

Overview of Model Persistence and Serving
Saving and Loading scikit-learn Models
Saving and Loading Keras Models
Serving Models via RESTful API Endpoints Using Python with Flask and Connexion
Consuming RESTful API Endpoints from a React Web Application Using axios
Consuming RESTful API Endpoints from an Express.js Backend Using axios
Consuming RESTful API Endpoints from a Flask Backend Using Requests
Serving a Model using MLflow

Module 17: Introduction to AI-Driven Features

Introduction to Recommendation Systems
Preliminary Mathematical Considerations of Recommendation Systems
Content-Based Recommender System
Building Content-Based Recommender System
Collaborative Filtering Recommender System
Introduction to Model-based Collaborative Filtering Recommender System
Model-based Collaborative Filtering Recommender System
Recommendation using Softmax Model

Module 18: Performance Optimisation and Scalability

Introduction to Performance Optimisation and Scalability
Optimising AI Model Performance
Scaling Strategies and Database Optimisation
Caching and Load Balancing
Asynchronous Processing and Message Queues
Monitoring and Performance Analysis
Load Testing Fundamentals and Analysis
Best Practices and Future Trends

Module 19: Generative AI Application

Introduction to Generative AI in Full Stack Development
Benefits and Use Cases of Generative AI in Full Stack Applications
Advanced Generative AI Applications
Generative AI in Software Development
Evolution of Language Models: From Traditional to Transformers
Milestones in Large Language Models
Optimising LLM Outputs: Prompts and Parameters
Fine-tuning LLMs
Introduction to LLM Selection and AI Agents
LLM Performance and Benchmarks
Evaluating LLM Requirements for Specific Use Cases
LLM Deployment Considerations
Combining Multiple LLMs for Complex Applications
Introduction to AI-Powered Software Development
Features of Autonomous AI Software Engineers
Pros and Cons of Autonomous AI Agents in Software Development

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