Will I earn university credit for completing the Specialization?

You will earn a prestigious career certificate from Edureka upon completion, which is perfect for enhancing your resume or LinkedIn profile. However, this specialization does not offer university credit.

What will I be able to do upon completing the Specialization?

Upon completion, you will be able to master generative AI tools like GitHub Copilot and Vertex AI, design secure software solutions, optimize code with tools like Snyk, and lead collaborative AI-driven development projects.

Are there any prerequisites for enrolling in this specialization?

Yes, you must have basic coding skills in Python or JavaScript and a foundational understanding of software development concepts to enroll in this generative AI training.

Will I gain hands-on experience with Generative AI tools?

Yes, you will gain hands-on experience by working on real projects with cutting-edge generative AI tools such as Gemini, GitHUb Copilot, Vertex AI, Amazon Q, Tabnine, Qodo, and many more to create practical AI software solutions.

How will this specialization help my career as a software developer/engineer?

This specialization will help you boost your career by equipping you with in-demand generative AI skills, making you eligible for high-paying software engineering roles, and helping you stand out in the competitive tech industry.

Is the specialization suitable for beginners in AI?

Yes, this specialization is suitable for beginners in AI, as it is designed for individuals with basic coding knowledge and offers a beginner-friendly path to mastering generative AI in software development.

Will I earn a certificate after completing the specialization?

Yes, you will earn a shareable certificate after completing the specialization, which you can showcase on LinkedIn, resumes, or job applications to highlight your generative AI expertise.

Does the specialization teach best practices for scaling AI in software development pipelines?

Yes, the specialization teaches best practices for scaling AI in software development pipelines, including deployment strategies, optimization techniques, and scalable workflow management.

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Spezialisierung für Generative AI for Software Engineers & Developers

Diese spezialisierung ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

Spezialisierung für Generative AI for Software Engineers & Developers

Q: What will I learn in the Generative AI for Software Engineers & Developers specialization?

You will gain expertise in generative AI fundamentals, learn to build intelligent applications with Gemini, enhance your coding skills with AI assistants, and implement secure, optimized software engineering practices using top-tier AI tools.

Become an Expert in AI-powered Software Development. Acquire skills to utilize generative AI tools, platforms, and frameworks to optimize coding, streamline debugging, and boost collaborative software engineering.

Dozent: Edureka

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4-teilige Kursreihe

Befassen Sie sich eingehend mit einem Thema

Stufe Mittel

Empfohlene Erfahrung

4 months to complete

unter 5 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

4-teilige Kursreihe

Befassen Sie sich eingehend mit einem Thema

Stufe Mittel

Empfohlene Erfahrung

4 months to complete

unter 5 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

Gain expertise in using generative AI tools like GitHub Copilot, Tabnine, and Amazon Q to improve coding efficiency and quality.
Master prompt engineering and AI-driven workflows to create intelligent, scalable applications with Gemini and Vertex AI.
Develop hands-on skills with AI tools like Cursor AI, CodeSee, and Snyk for code navigation, debugging, and optimization.
Understand ethical practices and strategies for secure, efficient, and collaborative AI-powered software development.

Kompetenzen, die Sie erwerben

Kategorie: Debugging
Kategorie: Performance Tuning
Kategorie: Prompt Engineering
Kategorie: AI Personalization
Kategorie: Code Review
Kategorie: Generative AI Agents
Kategorie: Generative AI
Kategorie: Large Language Modeling
Kategorie: Software Development Tools
Kategorie: Artificial Intelligence
Kategorie: Software Development
Kategorie: Software Documentation
Kategorie: Application Deployment
Kategorie: OpenAI
Kategorie: Generative Model Architectures
Kategorie: Google Gemini
Kategorie: Software Quality Assurance
Kategorie: Software Engineering
Kategorie: LLM Application
Kategorie: Automation

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Unterrichtet in Englisch

Kürzlich aktualisiert!

August 2025

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Erwerben Sie ein Karrierezertifikat von Edureka.

Spezialisierung - 4 Kursreihen

Dive into the future of coding with the Generative AI for Software Engineers & Developers Specialization, which will empower you to harness generative AI for software development. From crafting smarter code to streamlining workflows, you’ll master cutting-edge tools and techniques to stay ahead in the tech world. Following courses are part of this specialization:

Getting Started with Generative AI: Learn autoencoders, GANs, and transformers. Master prompt engineering and fine-tuning with LoRA.
Gemini and Vertex AI: Building Intelligent Applications: Build smart apps with Gemini and Vertex AI, focusing on agents and scalable deployment.
Generative AI Coding Assistants for Developers: Boost productivity with GitHub Copilot, Tabnine, and Amazon Q for coding and CI/CD integration.
Generative AI Tools for Modern Software Engineering: Use Cursor AI, Snyk, and Qodo for code navigation, quality, and secure development.

This specialization is suitable for aspiring and practicing software engineers, developers, and tech enthusiasts eager to integrate AI into their workflows.

Basic programming knowledge and familiarity with software development concepts is required to enroll for this specialization.

Enroll now on Coursera to unlock your potential in AI-driven software engineering! Earn a shareable certificate and transform your career today.

Praktisches Lernprojekt

The Generative AI for Software Engineers & Developers Specialization features hands-on projects to apply AI-driven software development skills.

In Getting Started with Generative AI, build an AI-powered content strategy system using text vectorization and autoencoders. In Gemini and Vertex AI, create an intelligent application with Gemini API for text and vision tasks.

In Generative AI Coding Assistants for Developers, develop a BugTracker Pro app using GitHub Copilot, Tabnine, and Amazon Q for efficient coding and debugging.

In Generative AI Tools for Modern Software Engineering, design a secure code management system with Cursor AI, Snyk, and Qodo, focusing on quality and automation. These projects equip you with practical skills in AI-assisted coding, deployment, and secure development, preparing you for real-world software engineering challenges.

Getting Started with Generative AI

KURS 118 Stunden

Was Sie lernen werden

Define generative AI principles and apply data preparation, vectorization, and model-building techniques.
Analyze and compare models like GANs, VAEs, transformers, and LLMs for practical applications.
Design effective prompts using few-shot, zero-shot, and chain-of-thought techniques for AI models.
Optimize and deploy generative AI models using fine-tuning, PEFT, and LLMOps strategies.

Kompetenzen, die Sie erwerben

Kategorie: Generative AI

Kategorie: Generative Model Architectures

Kategorie: Prompt Engineering

Kategorie: Large Language Modeling

Kategorie: Natural Language Processing

Kategorie: Responsible AI

Kategorie: Data Cleansing

Kategorie: Feature Engineering

Kategorie: Application Deployment

Kategorie: Deep Learning

Kategorie: Artificial Intelligence and Machine Learning (AI/ML)

Kategorie: Data Processing

Kategorie: Data Visualization

Kategorie: Open Source Technology

Kategorie: OpenAI

Kategorie: AI Personalization

Kategorie: Database Systems

Kategorie: Machine Learning

Gemini and Vertex AI: Building Intelligent Applications

KURS 214 Stunden

Was Sie lernen werden

Explain Gemini’s multimodal architecture and use AI Studio/APIs for text, vision, and code.
Use Gemini APIs and Google AI Studio to explore code generation, document analysis, and multimodal capabilities.
Explore Vertex AI foundations, model tuning, and deployment strategies conceptually, with practical demos focused on Gemini.

Kompetenzen, die Sie erwerben

Kategorie: Google Gemini

Kategorie: Multimodal Prompts

Kategorie: Prompt Engineering

Kategorie: Generative AI

Kategorie: Application Programming Interface (API)

Kategorie: Performance Tuning

Kategorie: Generative AI Agents

Kategorie: Artificial Intelligence

Kategorie: Application Deployment

Kategorie: Cloud Platforms

Kategorie: Artificial Intelligence and Machine Learning (AI/ML)

Kategorie: Software Development Tools

Kategorie: Responsible AI

Kategorie: Google Cloud Platform

Kategorie: LLM Application

Kategorie: Python Programming

Kategorie: AI Personalization

Kategorie: Large Language Modeling

Generative AI Coding Assistants for Developers

KURS 314 Stunden

Was Sie lernen werden

Define how AI coding tools assist in software development.
Construct effective prompts for accurate AI code suggestions.
Apply GitHub Copilot, Tabnine, and Amazon Q to generate, debug, and document code.
Collaborate with AI tools in both solo and team-based coding tasks.

Kompetenzen, die Sie erwerben

Kategorie: Generative AI Agents

Kategorie: Code Review

Kategorie: Secure Coding

Kategorie: Generative AI

Kategorie: GitHub

Kategorie: Amazon Web Services

Kategorie: Software Development Tools

Kategorie: Software Development

Kategorie: Software Architecture

Kategorie: Artificial Intelligence and Machine Learning (AI/ML)

Kategorie: Test Automation

Kategorie: Software Engineering

Kategorie: Software Documentation

Kategorie: DevOps

Kategorie: Integrated Development Environments

Kategorie: Maintainability

Kategorie: AI Personalization

Kategorie: CI/CD

Kategorie: Prompt Engineering

Kategorie: Software Technical Review

Generative AI Tools for Modern Software Engineering

KURS 412 Stunden

Was Sie lernen werden

Navigate and explore codebases using AI tools like Cursor AI, CodeSee, and Sourcegraph efficiently.
Improve code quality with automated reviews, static analysis, and bug detection via AI-powered tools.
Generate, refactor, and debug code quickly using AI assistants like Codeium, Refact AI, and Cody AI.
Enhance security, optimize performance, and boost collaboration with AI-driven development practices.

Kompetenzen, die Sie erwerben

Kategorie: Debugging

Kategorie: Code Review

Kategorie: Performance Tuning

Kategorie: Software Development Life Cycle

Kategorie: Collaborative Software

Kategorie: Generative AI

Kategorie: Automation

Kategorie: AI Personalization

Kategorie: Software Visualization

Kategorie: DevSecOps

Kategorie: Application Security

Kategorie: Artificial Intelligence and Machine Learning (AI/ML)

Kategorie: Artificial Intelligence

Kategorie: Software Development Tools

Kategorie: Prompt Engineering

Kategorie: Software Technical Review

Kategorie: Integrated Development Environments

Kategorie: Software Engineering

Kategorie: Analysis

Kategorie: Software Development

Erwerben Sie ein Karrierezertifikat.

Fügen Sie dieses Zeugnis Ihrem LinkedIn-Profil, Lebenslauf oder CV hinzu. Teilen Sie sie in Social Media und in Ihrer Leistungsbeurteilung.

Dozent

Edureka

98 Kurse103.051 Lernende

von

Edureka

Warum entscheiden sich Menschen für Coursera für ihre Karriere?

Felipe M.

Lernender seit 2018

„Es ist eine großartige Erfahrung, in meinem eigenen Tempo zu lernen. Ich kann lernen, wenn ich Zeit und Nerven dazu habe.“

Jennifer J.

Lernender seit 2020

„Bei einem spannenden neuen Projekt konnte ich die neuen Kenntnisse und Kompetenzen aus den Kursen direkt bei der Arbeit anwenden.“

Larry W.

Lernender seit 2021

„Wenn mir Kurse zu Themen fehlen, die meine Universität nicht anbietet, ist Coursera mit die beste Alternative.“

Chaitanya A.

„Man lernt nicht nur, um bei der Arbeit besser zu werden. Es geht noch um viel mehr. Bei Coursera kann ich ohne Grenzen lernen.“

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Häufig gestellte Fragen

You can complete the Generative AI for Software Engineers & Developers Specialization in 3 to 4 months by dedicating 5 to 6 hours per week. This flexible, self-paced schedule allows you to master AI-driven software development skills at your convenience.

You need basic programming skills in Python or JavaScript, along with foundational software development knowledge. No prior AI experience is required, making this specialization ideal for beginners eager to excel in generative AI.

Yes, you should follow a specific order for optimal learning. Start with Getting Started with Generative AI, then proceed to Gemini and Vertex AI: Building Intelligent Applications, followed by Generative AI Coding Assistants for Developers, and finish with Generative AI Tools for Modern Software Engineering to build your skills progressively.