SDLC Overview (1 Hour) - Software Development Life Cycle

In this Requirement Phase section  - Following topics are explained

--Goal of this Phase

--Who are involved - i.e. Project Roles and responsibilities

--Process

--Deliverable artifacts

In this lecture, you'll learn the Requirements phase of the Software Development Life Cycle (SDLC) and how AI can assist business analysts and software teams. We'll explore how AI helps create requirement documents, user stories, acceptance criteria, and identify missing requirements, while understanding why people still make the final decisions.

In this Design Phase section  - Following topics are explained

--Goal of this Phase

--Who are involved - i.e. Project Roles and responsibilities

--Process

--Deliverable artifacts

In this lecture, you'll learn how AI assists during the Design phase of the Software Development Life Cycle (SDLC). We'll discuss how AI can help compare design options, generate architecture diagrams, explain design patterns, review solutions, and document design decisions, while understanding that architects and developers are responsible for making the final design choices.

In this Development/Coding Phase section  - Following topics are explained

--Goal of this Phase

--Who are involved - i.e. Project Roles and responsibilities

--Process

--Deliverable artifacts

In this lecture, you'll learn how AI assists during the Development phase of the Software Development Life Cycle (SDLC). We'll explore how AI can help developers generate code, explain existing code, troubleshoot errors, create unit tests, and review code before submission, while understanding that developers remain responsible for the quality and correctness of the software

In this Testing Phase section  - Following topics are explained

--Goal of this Phase

--Who are involved - i.e. Project Roles and responsibilities

--Process

--Deliverable artifacts

In this lecture, you'll learn how AI assists during the Testing phase of the Software Development Life Cycle (SDLC). We'll explore how AI helps create test cases, identify edge cases, generate test automation scripts, analyze failures, and review test coverage, while understanding that testers are responsible for defining the test strategy and approving the final software release

In this Deployment Phase section  - Following topics are explained

--Goal of this Phase

--Who are involved - i.e. Project Roles and responsibilities

--Process

--Deliverable artifacts

In this lecture, you'll learn how AI assists during the Deployment phase of the Software Development Life Cycle (SDLC). We'll explore how AI helps prepare deployment runbooks, generate pipeline configurations, create deployment checklists, analyze deployment failures, and draft release notes, while understanding that engineers are responsible for approving releases and making deployment decisions.

In this Maintenance Phase section  - Following topics are explained

--Goal of this Phase

--Who are involved - i.e. Project Roles and responsibilities

--Process

--Deliverable artifacts

In this lecture, you'll learn how AI assists during the Maintenance phase of the Software Development Life Cycle (SDLC). We'll explore how AI helps developers understand existing code, analyze log files, identify the impact of changes, draft fixes, and improve documentation, while understanding that engineers are responsible for making safe changes and maintaining software in production

High level Project management knowledge in this slide can help to better understand Agile and Waterfall differences.

Agile Vs Waterfall Methodology information.

Every organization will have their internal career paths outlined for their employees. This is my effort to depict the career progression.

Every organization will have their internal career paths outlined for their employees. This is my effort to depict the career progression.

Every organization will have their internal Organization Chart. This is my effort to depict the information Technology Organization.