Gemini for end-to-end SDLC Training

Live Online & Classroom Enterprise Training

Learn how to use Gemini AI capabilities to enhance and automate activities across the Software Development Life Cycle (SDLC), including requirements analysis, design, development, testing, deployment, and maintenance.

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What is Gemini for end-to-end SDLC Course about?

This course provides a comprehensive understanding of how Gemini can be integrated into every phase of the SDLC to improve productivity, code quality, collaboration, and delivery speed. Participants will learn real-world use cases, hands-on workflows, and best practices for using AI-assisted development, testing automation, documentation generation, and DevOps optimization using Gemini-powered tools.

What are the objectives of Gemini for end-to-end SDLC Course ?

Understand how Gemini supports each phase of the SDLC
Automate requirement analysis and documentation using AI
Improve coding efficiency with AI-assisted development
Enhance testing with AI-generated test cases and automation
Optimize deployment and monitoring using AI insights

Who is Gemini for end-to-end SDLC Course for?

Software Developers and Programmers
QA Engineers and Test Automation Engineers
DevOps Engineers and Cloud Engineers
Technical Leads and Solution Architects
IT Managers and Digital Transformation Teams

What are the prerequisites for Gemini for end-to-end SDLC Course?

Prerequisites:

Basic understanding of Software Development Life Cycle
Basic programming knowledge (any language)
Familiarity with Git or version control tools
Basic understanding of APIs and cloud concepts
General understanding of software testing concepts

Learning Path:

Introduction to Gemini and AI in Software Development
Using Gemini in Requirement Gathering and Design
AI-Assisted Coding and Code Review
AI-Driven Testing and Quality Engineering
AI in DevOps, Deployment, and Monitoring

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Available Training Modes

Live Online Training

1 Days

Course Outline Expand All

Expand All

Module 1: Introduction to Gemini for SDLC

Overview of Gemini, Google Cloud's generative AI-powered collaborator

Understanding how Gemini assists throughout the Software Development Lifecycle (SDLC)

Exploring the capabilities and features of Gemini in application development

Module 2: Developing and Building Applications with Gemini

Utilizing Gemini to develop and build web applications

Leveraging Gemini's assistance in coding and application structure

Best practices for integrating Gemini into development workflows

Module 3: Testing and Debugging with Gemini

Employing Gemini to identify and fix errors in applications

Developing tests with Gemini's guidance

Enhancing debugging processes using Gemini's insights

Module 4: Querying Data and Managing Applications

Using Gemini to query data effectively

Managing applications with Gemini's support

Optimizing application performance through data insights

Who is the instructor for this training?

The trainer for this Gemini for end-to-end SDLC Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Reviews

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