Full Stack Web Developer Diploma:Backend and Database Architecture

About Course

Welcome to the “Backend and Database Architecture” course! In this comprehensive journey through the heart of modern web development, you’ll delve into the intricate world of backend systems and databases. From understanding the core principles of backend architecture to mastering both SQL and NoSQL databases, you’ll learn how to design, build, and scale robust web applications. Whether you’re a seasoned developer looking to strengthen your backend skills or an aspiring architect aiming to craft efficient, data-driven systems, this course equips you with the knowledge and practical expertise to excel in the dynamic realm of backend and database architecture.

Understand core backend architecture and server-side development concepts.
Work with relational SQL and NoSQL database systems.
Design effective database models and manage application data.
Develop RESTful and GraphQL APIs for web applications.
Apply authentication and data security techniques to backend systems.
Understand database management, administration, and query optimization.
Apply scaling and load-balancing techniques for high-traffic applications.
Understand microservices architecture and distributed backend systems.
Explore serverless computing approaches for modern applications.
Design, build, and deploy scalable, secure, data-driven web applications.
These align with the course objectives covering backend architecture, SQL/NoSQL, RESTful and GraphQL APIs, security, scalability, and practical application development

Course Content

Week 1 – Introduction to Backend and Databases

Introduction to Backend and Databases

00:00
LO1: Explain the fundamental concepts, purpose, and components of backend architecture in web applications

00:00
LO2: Describe the interaction between clients, servers, backend systems, and databases in web applications

00:00
LO3: Analyze the role of backend systems and databases in supporting data-driven web applications

00:00

Week 2 – Backend Technologies and Frameworks

Week 3 – Relational Database Management Systems (RDBMS)

Week 4 – NoSQL Databases

Assesment-I

Week 5 – RESTful API Development

Week 6 – GraphQL API Development and Data Security

Week 7 – Scaling and Load Balancing

Week 8 – Microservices Architecture

Assesment-II

Week 9 – Serverless Computing

Week 10 – Database Management, Administration, and Integrated Backend Architecture

Final Assesment

About Course

What Will You Learn?

Course Content

Week 1 – Introduction to Backend and Databases

Introduction to Backend and Databases

LO1: Explain the fundamental concepts, purpose, and components of backend architecture in web applications

LO2: Describe the interaction between clients, servers, backend systems, and databases in web applications

LO3: Analyze the role of backend systems and databases in supporting data-driven web applications

Week 2 – Backend Technologies and Frameworks

Backend Technologies and Frameworks

LO1: Identify commonly used server-side programming technologies and backend frameworks

LO2: Explain the features and functions of backend frameworks in web application development

LO3: Analyze backend technologies and frameworks to determine their suitability for different application requirements

Week 3 – Relational Database Management Systems (RDBMS)

Relational Database Management Systems (RDBMS)

LO1: Explain the fundamental concepts and components of Relational Database Management Systems

LO2: Apply relational data modeling concepts to organize data using tables, keys, relationships, and constraints

LO3: Analyze relational database structures and SQL queries to support efficient data storage and retrieval

Week 4 – NoSQL Databases

NoSQL Databases

LO1: Explain the concepts, characteristics, and major types of NoSQL databases

LO2: Differentiate relational and NoSQL databases based on data models, scalability, and application requirements

LO3: Analyze application requirements to determine appropriate NoSQL database models for data storage and retrieval

Assesment-I

Multiple choice questions

Week 5 – RESTful API Development

RESTful API Development

LO1: Explain the principles and components of RESTful API architecture

LO2: Apply HTTP methods, routes, requests, responses, and status codes to develop RESTful API operations

LO3: Develop RESTful APIs for retrieving, creating, updating, and deleting application data

Week 6 – GraphQL API Development and Data Security

GraphQL API Development and Data Security

LO1: Explain the structure and purpose of GraphQL queries, mutations, schemas, and resolvers

LO2: Apply authentication and authorization techniques to protect backend applications, APIs, and data

LO3: Analyze API security requirements to identify and mitigate common data-access and authentication vulnerabilities

Week 7 – Scaling and Load Balancing

Scaling and Load Balancing

LO1: Explain the principles of backend scalability, availability, and load balancing

LO2: Apply scaling and load-balancing strategies to support increasing application traffic and workloads

LO3: Analyze backend performance requirements to determine appropriate horizontal and vertical scaling approaches

Week 8 – Microservices Architecture

Microservices Architecture

LO1: Explain the principles, components, and characteristics of microservices architecture

LO2: Describe communication and data-management approaches used among independent microservices

LO3: Analyze the advantages and challenges of microservices architecture for scalable backend applications

Assesment-II

Multiple choice questions

Scenario Based Multiple Choice Questions

Week 9 – Serverless Computing

Serverless Computing

LO1: Explain the principles, architecture, and characteristics of serverless computing

LO2: Apply serverless computing concepts to design event-driven backend functions and services

LO3: Evaluate serverless solutions based on scalability, performance, operational requirements, and application needs

Week 10 – Database Management, Administration, and Integrated Backend Architecture

Database Management, Administration, and Integrated Backend Architecture

LO1: Explain database management and administration practices related to performance, availability, backup, and recovery

LO2: Apply database and backend architecture concepts to design an integrated data-driven web application

LO3: Evaluate backend and database solutions for architecture, data management, scalability, performance, and security

Final Assesment

Multiple choice questions

Scenario Based Multiple Choice Questions

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