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

8,652 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.6

(270 reviews)

Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(270 reviews)

Intermediate level

Recommended experience

4 weeks to complete
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: Content Creation
  • Category: Artificial Intelligence
  • Category: Software Development Life Cycle
  • Category: Natural Language Processing
  • Category: Code Review
  • Category: ChatGPT
  • Category: Software Design Patterns
  • Category: Prompt Engineering
  • Category: Software Architecture
  • Category: Software Testing
  • Category: Large Language Modeling
  • Category: OpenAI

Details to know

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Taught in English
Recently updated!

May 2025

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 IBM

Specialization - 3 course series

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: Program Development
Category: Prompt Engineering
Category: OpenAI
Category: Generative AI
Category: Virtual Environment
Category: Image Analysis
Category: Large Language Modeling
Category: ChatGPT
Category: Artificial Intelligence
Category: Content Creation

What you'll learn

  • Explain the concept, relevance, and best practices of prompt engineering to guide generative AI models in producing meaningful, accurate outputs.

  • Apply prompt engineering techniques to text prompts, improving the reliability and quality of large language models.

  • Practice prompt engineering techniques and approaches, including interview pattern, chain-of-thought, tree-of-thought, to improve prompt outcomes.

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

Skills you'll gain

Category: Prompt Engineering
Category: OpenAI
Category: Generative AI
Category: Image Analysis
Category: Large Language Modeling
Category: ChatGPT

What you'll learn

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

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

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

  • Explainthe challenges and ethical considerations associated with using generative AI for programming, along with strategies for mitigating them

Skills you'll gain

Category: Prompt Engineering
Category: Software Development
Category: Data Ethics
Category: Natural Language Processing
Category: Software Testing
Category: Generative AI
Category: Prototyping
Category: CI/CD
Category: Software Design Patterns
Category: Large Language Modeling
Category: Artificial Intelligence
Category: Software Development Life Cycle
Category: OpenAI
Category: Software Architecture
Category: DevSecOps
Category: Code Review
Category: Software Engineering
Category: ChatGPT

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Instructors

Rav Ahuja
Rav Ahuja
IBM
55 Courses3,729,956 learners

Offered by

IBM

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