Learn Software Development Life Cycle, Waterfall, Iterative and Incremental, Spiral, V-Model, Big Bang Model & more !
Duration : 6 months Classes : 36 Days : Weekdays / Weekends
Master the end-to-end process of software development with our comprehensive SDLC Training. This course is designed to demystify the structured phases of software creation - from initial concept to final deployment and maintenance. Whether you're new to tech or looking to formalize your understanding of development workflows, this training equips you with the tools and terminology to navigate real-world projects confidently.
Through interactive lessons and practical exercises, you'll explore each phase of the SDLC: requirements gathering, system design, development, testing, deployment, and maintenance. You'll learn how to apply industry-standard practices, collaborate with cross-functional teams, and choose the right SDLC model (Waterfall, Agile, V-Model, Spiral) based on project needs. The course also introduces essential tools and documentation techniques used across the lifecycle.
By the end of the training, you'll be able to contribute meaningfully to software projects, communicate effectively with developers and stakeholders, and apply SDLC principles to improve project outcomes. Whether you're preparing for a tech role, managing software teams, or transitioning into IT, this course lays the foundation for structured, successful software delivery.
Target Audience:-
- Aspiring software developers and engineers
- Project managers and product owners
- Business analysts and QA professionals
- IT students and career switchers
- Non-technical professionals working with software teams
Learning Outcomes:-
- Understand the purpose and phases of the Software Development Life Cycle
- Identify and apply different SDLC models based on project context
- Gather and document software requirements effectively
- Interpret system design artifacts like UML diagrams and wireframes
- Understand coding, testing, and deployment workflows
- Recognize the importance of maintenance and post-deployment support
- Collaborate with technical teams using SDLC terminology and tools
Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training
Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas
This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.
Module 1: Introduction to SDLC
✔ Definition and importance of SDLC
✔ SDLC phases overview
✔ Benefits and limitations of SDLC
✔ SDLC models: Waterfall, Agile, Spiral, V-Model
Module 2: Requirements Gathering and Analysis
✔ Stakeholder identification and engagement
✔ Functional vs. non-functional requirements
✔ Techniques: interviews, surveys, use cases
✔ Documenting and validating requirements
Module 3: System Design
✔ High-level vs. detailed design
✔ Architectural design patterns
✔ UI/UX design principles
✔ Tools: UML diagrams, wireframes, ER models
Module 4: Development and Implementation
✔ Coding standards and best practices
✔ Version control systems (e.g., Git)
✔ Front-end, back-end, and database development
✔ Integration and environment setup
Module 5: Testing and Quality Assurance
✔ Types of testing: unit, integration, system, acceptance
✔ Manual vs. automated testing
✔ Bug tracking and defect lifecycle
✔ Tools: Selenium, JUnit, TestNG
Module 6: Deployment and Maintenance
✔ Deployment strategies: phased, big bang, rolling
✔ CI/CD pipelines and DevOps practices
✔ Monitoring and performance tuning
✔ Maintenance types: corrective, adaptive, perfective
Module 7: SDLC Models and Real-World Application
✔ Comparing SDLC models: pros and cons
✔ Choosing the right model for a project
✔ Case studies and industry examples
✔ Capstone project: simulate a full SDLC cycle
Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.