IBM
Generative AI for Software Developers Specialization
IBM

Generative AI for Software Developers Specialization

Boost your software development career with Gen AI. Build in-demand hands-on Generative AI skills for your elevating your software engineering game in 1 month or less

Rav Ahuja
Antonio Cangiano
Ramanujam Srinivasan

Instructors: Rav Ahuja +2 more

8,204 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.6

(257 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(257 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify real-world generative AI uses and describe popular generative AI models and tools for text, code, image, audio, and video

  • Explain generative AI prompt engineering concepts, examples, and common tools and learn techniques needed to create effective, impactful prompts

  • Learn about tools and techniques to generate code snippets, scripts, test cases, and applications using generative AI models

  • Develop innovative software engineering solutions using AI-powered tools and LLMs  

Skills you'll gain

  • Category: Prompt Engineering
  • Category: prompt patterns
  • Category: Generative AI
  • Category: Artificial Intelligence (AI)
  • Category: Software Engineering
  • Category: Augmented and Virtual Reality (AR/VR)
  • Category: Artificial Intelligence and Machine Learning (AI/ML)
  • Category: Deep Learning
  • Category: OpenAI
  • Category: Large Language Models (LLM)
  • Category: IBM Cloud
  • Category: Natural Language Generation
  • Category: ChatGPT
  • Category: Artificial Intelligence
  • Category: Software Development
  • Category: Data Ethics
  • Category: Natural Language Processing
  • Category: Software Testing
  • Category: Prototyping
  • Category: CI/CD
  • Category: AI prompts
  • Category: Software Development Life Cycle
  • Category: Software Architecture
  • Category: Code generation
  • Category: Debugging
  • Category: DevSecOps
  • Category: Technical Communication
  • Category: Software Development Tools
  • Category: Image Analysis

Details to know

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Taught in English
Recently updated!

May 2025

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  • Master a subject or tool with hands-on projects
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Specialization - 3 course series

Generative AI: Introduction and Applications

Course 17 hours4.7 (2,397 ratings)

What you'll learn

  • Describe generative AI and distinguish it from discriminative AI.

  • Describe the capabilities of generative AI and its use cases in the real world.

  • Identify the applications of generative AI in different sectors and industries.

  • Explore common generative AI models and tools for text, code, image, audio, and video generation.

Skills you'll gain

Category: Augmented and Virtual Reality (AR/VR)
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Deep Learning
Category: OpenAI
Category: Large Language Models (LLM)
Category: Generative AI
Category: IBM Cloud
Category: Natural Language Generation
Category: Artificial Intelligence (AI)
Category: ChatGPT
Category: Artificial Intelligence

Generative AI: Prompt Engineering Basics

Course 27 hours4.8 (4,175 ratings)

What you'll learn

  • Explain the concept and relevance of prompt engineering in generative AI models.

  • Apply best practices for creating prompts and explore examples of impactful prompts.

  • Practice common prompt engineering techniques and approaches for writing effective prompts.

  • Explore commonly used tools for prompt engineering to aid with prompt engineering.

Skills you'll gain

Category: Prompt Engineering
Category: prompt patterns
Category: Natural Language Processing
Category: Generative AI
Category: IBM Cloud
Category: Artificial Intelligence (AI)
Category: Technical Communication
Category: Software Development Tools
Category: Image Analysis
Category: ChatGPT

Generative AI: Elevate your Software Development Career

Course 317 hours4.5 (149 ratings)

What you'll learn

  • Discuss how to generate code snippets, scripts, and programs using generative AI models

  • Apply techniques for application design and architecture, bug detection, code refactoring, and program optimization using generative AI

  • Develop innovative solutions using Gen AI-powered tools and models such as ChatGPT, GitHub CoPilot, Google Gemini, and IBM watsonx Code Assistant

  • Explain challenges and ethical considerations associated with using Generative AI for programming and options for mitigating them

Skills you'll gain

Category: Software Development
Category: Data Ethics
Category: Natural Language Processing
Category: Software Testing
Category: Generative AI
Category: Prototyping
Category: CI/CD
Category: AI prompts
Category: Artificial Intelligence
Category: Software Development Life Cycle
Category: OpenAI
Category: Software Architecture
Category: Code generation
Category: Debugging
Category: DevSecOps
Category: Software Engineering
Category: ChatGPT

Instructors

Rav Ahuja
Rav Ahuja
IBM
55 Courses3,624,877 learners

Offered by

IBM

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