Edureka
Generative AI for Software Engineers & Developers Specialization
Edureka

Generative AI for Software Engineers & Developers Specialization

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.

Edureka

Instructor: Edureka

Included with Coursera Plus

Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 months at 5 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 months at 5 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

  • 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.

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

August 2025

65 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Edureka

Specialization - 4 course series

What you'll learn

  • 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.

Skills you'll gain

Generative Model Architectures, Generative AI, Prompt Engineering, Large Language Modeling, Responsible AI, Natural Language Processing, Database Systems, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Deep Learning, Open Source Technology, OpenAI, AI Personalization, Application Deployment, Machine Learning, Data Visualization, Feature Engineering, and Data Cleansing

What you'll learn

  • 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.

Skills you'll gain

Multimodal Prompts, Google Gemini, Generative AI, Prompt Engineering, Application Programming Interface (API), Generative AI Agents, Performance Tuning, Application Deployment, Artificial Intelligence, Cloud Platforms, Python Programming, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Software Development Tools, LLM Application, Google Cloud Platform, Responsible AI, and Large Language Modeling

What you'll learn

  • 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.

Skills you'll gain

Code Review, Generative AI Agents, Software Development Tools, Collaborative Software, Secure Coding, GitHub, Generative AI, Software Engineering, Software Technical Review, Integrated Development Environments, Application Security, Software Architecture, Artificial Intelligence and Machine Learning (AI/ML), Test Automation, CI/CD, AI Personalization, DevOps, Maintainability, Software Development, and Software Documentation

What you'll learn

  • 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.

Skills you'll gain

Code Review, Performance Tuning, Debugging, Collaborative Software, Generative AI, Software Development Life Cycle, Automation, Software Visualization, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Software Engineering, Integrated Development Environments, Artificial Intelligence, AI Personalization, Software Technical Review, DevSecOps, Software Development Tools, Software Development, Application Security, and Prompt Engineering

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Edureka
Edureka
98 Courses105,467 learners

Offered by

Edureka

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