Course overview
Description generated based on course syllabus and open data.
This program systematically covers software development: SDLC/SSDLC, Agile approaches (Scrum, Kanban, XP), and core software engineering methods. Content is organized into concise modules with lifecycle examples.
SDLC and software development models
Phases of SDLC (initiation, requirements, design, implementation, testing, deployment, maintenance) and typical artifacts are addressed.
SDLC models: Waterfall, Iterative, Incremental, Spiral, V‑Model, Agile
- Waterfall and V‑Model — sequential flow with verification/validation.
- Iterative and Incremental — gradual feature growth.
- Spiral — risk management and prototyping.
- Agile — incremental delivery focused on feedback.
Agile and frameworks (Scrum, Kanban, XP, Crystal, Lean, RAD, FDD, SAFe)
- Scrum: roles, artifacts, events, release planning.
- Kanban: WIP limits, flow visualization, Lead/Cycle Time.
- XP: engineering practices (TDD, CI, pair programming).
- Others: Crystal, Lean, RAD, FDD, SAFe — applicability and trade‑offs.
Security in software development: SSDLC (Secure SDLC)
- Built‑in security across phases: threat modeling, SAST/DAST/IAST.
- Policies, vulnerability management, DevSecOps, SBOM.
Methods, tools, and best practices in software engineering
- Methods: requirements analysis, design patterns, static/dynamic analysis.
- Tools: version control, CI/CD, issue tracking, test frameworks.
- Strategies: testing (unit, integration, system), release management, SRE practices.
- Principles and guidelines: SOLID, DRY, KISS, clean architecture, documentation.
Who this software development (SDLC, Agile) course is for / not for
Best fit
- Beginners in software development needing an SDLC/SSDLC overview.
- Developers, testers, analysts, DevOps/SRE aligning processes.
- Team leads and product roles harmonizing Agile and quality practices.
Not a fit
- Those seeking a narrow tech stack without lifecycle context.
- Those expecting theory only without SDLC application examples.
Common problems in software projects → expected outcomes after mastering SDLC/SSDLC
- Unclear requirements → structured artifacts, traceability, prioritization.
- Release delays → flow management, predictable increments.
- Production defects → prevention via test strategies, code reviews, automation.
- Vulnerabilities → threat modeling, secure coding, DevSecOps.
Comparison with learning alternatives in software engineering
- Self‑study: flexible, but material may be fragmented and gaps likely.
- Short bootcamps: fast, but limited depth on SDLC/SSDLC.
- Academic courses: strong theory, less focus on Agile and industry tooling.
Outcomes after completing the software development program
- A clear map of SDLC/SSDLC and how methods align to problems.
- Ability to select models (Waterfall/Agile/Hybrid) and assess risks.
- Application of quality engineering practices: testing, CI/CD, code standards.
- Integrated security: policies, checks, and monitoring within the lifecycle.
Course Description
This is the first-ever comprehensive Software Engineering course that covers almost everything that anyone aspiring to learn and progress in the Software field can take up and become as proficient as someone with nearly 10+ years of experience. This course is the gist of my entire decades of experience crafted in 14+ hours of content. Whatever I learned during my career concerning the real-world software Engineering I have included in this course. No boasting at all, Look at the course curriculum you will get the idea. In these 14 + Hours we are going to learn all the below concepts from scratch with a Real-life Case Study
Software Engineering ,SDLC , SDLC PhasesSDLC Models like Waterfall, Iterative, Incremental, Spiral, V Model, Agile etcSSDLC - Secure Software Development LifecycleAll the Key Agile ConceptsSCRUM, KANBAN ,XP , CRYSTAL, LEAN RAD, FDD, SAFeSoftware Engineering Industry Best PracticesSoftware Engineering Methods, tools , strategies, Principles, Guidelines everything
