Edureka
Generative AI for Software Engineers & Developers Specialization

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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 to complete
at 5 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 months to complete
at 5 hours a week
Flexible schedule
Learn at your own pace

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.

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Taught in English
Recently updated!

August 2025

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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

Category: Generative Model Architectures
Category: Generative AI
Category: Prompt Engineering
Category: Large Language Modeling
Category: Responsible AI
Category: Data Cleansing
Category: Data Visualization
Category: Data Processing
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Model Evaluation
Category: Data Preprocessing
Category: AI Personalization
Category: Model Deployment
Category: Machine Learning
Category: Deep Learning
Category: Database Systems
Category: Open Source Technology
Category: Generative Adversarial Networks (GANs)
Category: Embeddings
Category: Transfer Learning

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

Category: Multimodal Prompts
Category: Google Gemini
Category: Generative AI
Category: Prompt Engineering
Category: Generative AI Agents
Category: Artificial Intelligence
Category: Performance Tuning
Category: Large Language Modeling
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Tool Calling
Category: Cloud Platforms
Category: AI Personalization
Category: Software Development Tools
Category: Gemini
Category: AI Workflows
Category: Python Programming
Category: Model Deployment
Category: LLM Application
Category: Google Cloud Platform
Category: AI Enablement

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

Category: Generative AI Agents
Category: Code Review
Category: Generative AI
Category: Software Development Tools
Category: Collaborative Software
Category: Software Documentation
Category: Software Development
Category: Responsible AI
Category: CI/CD
Category: AI Security
Category: Software Architecture
Category: Test Automation
Category: Integrated Development Environments
Category: AI Workflows
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: AI Personalization
Category: DevOps
Category: Software Technical Review
Category: Maintainability
Category: Software Engineering

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

Category: Debugging
Category: Performance Tuning
Category: Code Review
Category: Generative AI
Category: Collaborative Software
Category: Software Development Life Cycle
Category: Responsible AI
Category: Analysis
Category: AI Personalization
Category: Artificial Intelligence
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Software Development
Category: AI Workflows
Category: Application Security
Category: Software Development Tools
Category: Automation
Category: Prompt Engineering
Category: DevSecOps
Category: Software Engineering
Category: Software Quality (SQA/SQC)

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Instructor

Edureka
Edureka
122 Courses119,198 learners

Offered by

Edureka

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