Real-World Software Engineering & Release Management

LIVE

6 Hours

₹ 3,000 per month.

₹ 7,200 1-on-1 Class

Just Pay ₹500 to Register

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Course offered by Sivakumar A

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1. Who is this class for?
This class is designed for BTech students in their 3rd or 4th year who are actively preparing for placements in product-based companies like Google, Microsoft, and fast-growing startups. It is also highly useful for students who want to understand how real engineering teams actually operate on a day-to-day basis, beyond what is taught in college textbooks.

2. What will the students learn?

The Software Development Lifecycle (SDLC) in practice.
Agile & Scrum: How sprints, standups, and retrospectives work.
Release Management: Code freezes, QA gates, and Go/No-Go decisions.
CI/CD Basics: How code moves from a developer's laptop to production.
Tools: Hands-on overview of Jira, Azure DevOps, and Confluence.
Incident Management: What happens when production goes down, and how teams respond.
Production Readiness: Checklists, rollback plans, and hypercare.

3. What do they need to bring?
A notebook and a laptop for the tool walkthrough sessions.

4. Pre-requisites:
None. This is a conceptual and process-oriented course. No prior coding experience is required

About the Trainer

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Sivakumar A

Master of Computer Applications (M.C.A.) from Sri Venkateswara University Tirupati in 1999

19 Years of Experience

I am an Engineering Delivery and Program Leader with 19+ years of industry experience leading enterprise software, AI, and digital transformation programs. I hold a Master of Computer Applications (MCA) and have managed 60+ engineers at companies like Capgemini, CA Technologies, and Landmark Group.

What I offer B.Tech students:

Software Engineering in Practice: How real teams plan, build, test, and release software—not just textbook theory.

Release Management & Delivery: Code-freeze reviews, Go/No-Go decisions, CI/CD quality gates, production readiness, and incident management.

System Design Basics: Microservices, REST APIs, distributed systems, and how large-scale platforms are architected.

AI for Engineers: Hands-on training in Generative AI, Prompt Engineering, GitHub Copilot, Cursor, OpenAI APIs, and MCP-based AI assistants.

Agile & Tools: Scrum, Jira, Azure DevOps, and how modern engineering teams actually work.

Career Mentorship: Resume building, interview preparation, and guidance on entering top product companies.

My teaching is practical, project-based, and focused on what the industry actually needs. I help students build a portfolio and mindset for real jobs—not just exam preparation.