IBM

Generative AI: Elevate your Software Development Career

IBM

Generative AI: Elevate your Software Development Career

IBM Skills Network Team
Ramanujam Srinivasan

Instructors: IBM Skills Network Team

Access provided by Synopsys Inc.

37,240 already enrolled

Gain insight into a topic and learn the fundamentals.

236 reviews

Intermediate level

Recommended experience

Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
95%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.

236 reviews

Intermediate level

Recommended experience

Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
95%
Most learners liked this course

What you'll learn

  • Job-ready skills to develop innovative solutions using GenAI tools such as ChatGPT, GitHub Copilot, Google Gemini, n8n, and Bolt

  • Develop code, scripts, and automations using generative and agentic AI, including vibe coding workflow

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

  • Identify generative AI programming risks and ethics issues, and select mitigation strategies

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

12 assignments

Taught in English

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Build your subject-matter expertise

This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

In this module, you'll explore how modern LLMs and prompt design accelerate everyday coding tasks. You'll learn how to set up your AI environment, craft effective prompts, and evaluate outputs for accuracy and safety. You'll gain hands-on experience generating small code units, refactoring legacy snippets, and producing quick diagrams or static site prototypes—then you'll verify, test, and iterate your prototype to improve results.

What's included

7 videos1 reading2 assignments6 app items8 plugins

In this module, you will explore how generative AI supports software architecture, design patterns, and code generation. You will use AI tools to generate architecture and design diagrams, create database schemas from requirements, build web prototypes, and troubleshoot coding problems. The module emphasizes best practices for scalable, maintainable, and efficient software design using AI assistance.

What's included

9 videos3 assignments4 app items8 plugins

In this module, you will learn how generative AI transforms software development by integrating advanced AI techniques into continuous integration and deployment (CI/CD), security, testing, and documentation workflows. You will gain hands-on experience with practical tools like Docker and AI-powered test case generation, code translation, and review. Additionally, you will explore essential considerations, including ethical use, security, and best practices for embedding AI in development lifecycles. To support your learning, the module also provides a concise cheat sheet summarizing key concepts and tools related to generative AI in DevSecOps and software testing, serving as a quick reference to enhance your workflow.

What's included

9 videos3 assignments11 app items5 plugins

This module introduces you to the fundamentals of agentic AI and vibe coding. Learn what AI agents are, how they are built using frameworks like N8N and RAG, and how to integrate AI agents with your data and APIs. You'll also explore AI-assisted coding approaches, compare these approaches with traditional methods, and experiment with tools such as Cursor and Bolt. By the end of this module, you'll be able to demonstrate your ability to apply core concepts and practices that make modern coding more adaptive and intelligent.

What's included

9 videos1 reading3 assignments1 app item6 plugins

In this final module, you will consolidate your learning by engaging with a comprehensive project that challenges you to build a personalized learning platform for developers using generative AI. Starting with pre-work to organize your approach, you will explore the project scope and objectives in detail before applying generative AI models to create adaptive learning experiences in CodeCraftHub. The module culminates with a final exam that assesses your understanding and ability to apply generative AI concepts effectively in software development scenarios, preparing you for real-world implementation.

What's included

2 readings1 assignment6 app items5 plugins

Earn a career certificate

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

Instructors

Instructor ratings
(52 ratings)
IBM Skills Network Team
91 Courses 1,809,442 learners
Ramanujam Srinivasan
IBM
22 Courses 192,325 learners

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IBM

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