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Generative AI & Copilot for Software Engineers by Sivakumar A

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Generative AI & Copilot for Software Engineers by Sivakumar A

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Generative AI & Copilot for Software Engineers by Sivakumar A

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LIVE

Fri, 16 Oct

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Tell us a little more about yourself

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Generative AI & Copilot for Software Engineers

LIVE
8 Hours

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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 from any branch who want to stay relevant in the rapidly evolving AI era. It is especially ideal for final-year students working on academic projects, students preparing for internships and placements, and anyone who wants to understand how modern AI tools are used in real software development.

2. What will the students learn?

  • How to effectively use GitHub Copilot, Cursor, and ChatGPT for coding.

  • Prompt engineering techniques specifically for software development.

  • How to integrate OpenAI APIs into a basic project.

  • Best practices for "Human-in-the-loop" AI development (reviewing and validating AI-generated code).

  • How to use AI for debugging, documentation, and test generation.

  • How to build a portfolio project using AI tools.

3. What do they need to bring?
A laptop with a stable internet connection. A free GitHub account and a willingness to experiment.

4. Pre-requisites:
Basic knowledge of any programming language (Java, Python, or JavaScript). No prior AI experience is needed.

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.

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