IBM - Generative AI: Elevate your Software Development Career
- Offered byCoursera
Generative AI: Elevate your Software Development Career at Coursera Overview
Duration | 16 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Generative AI: Elevate your Software Development Career at Coursera Highlights
- Earn a certificate of completion
- Add to your LinkedIn profile
Generative AI: Elevate your Software Development Career at Coursera Course details
- 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
- Generative AI is transforming the field of Software Engineering, making it a crucial skills for Developers to have in their toolkit. This IBM course "Generative AI for Software Developers" is designed to provide you with a comprehensive understanding of how generative AI techniques can be applied to enhance software development processes.
- This course is designed to offer the necessary skills and knowledge needed to leverage AI-powered tools and algorithms to improve the efficiency of software development processes.
- Through a combination of videos, hands-on exercises, demos, and projects, you will learn how to leverage generative AI models to automate various aspects of software development, including code generation, design and architectures, bug detection, and optimization.
- This course will also help you understand the ethical considerations that you should follow to use AI to its full potential.
Generative AI: Elevate your Software Development Career at Coursera Curriculum
Generative AI and Software Development
Course Introduction
Introduction to Generative AI in Software Development
Leveraging Generative AI in Software Development Lifecycle
Large Language Models (LLM) and Transformers
Natural Language Processing (NLP) and its Significance
Leveraging AI for Technical Help and Best Practices on Design Patterns and Architecture
AI for Coding and Development
Demo: GitHub CoPilot for code generation and troubleshooting
Generating Static Website using Generative AI
Demo: Generating Prototypes with Generative AI
Demo: Generate diagram using Generative AI
Course Syllabus & Prerequisites
Popular tools of Generative AI for Software Development
Generating Architecture and Design Diagrams using Generative AI
Module 1 Summary : Generative AI and Software Development
Useful prompts for software design and development
Module 1: Generative AI and Software Development
Software Development and Generative AI
Generative AI for Software Coding and Architecture
Hands-on Lab: Building A Basic Chatbot Using ChatGPT
Hands-on Lab: Get familiar with GenAI Classroom
Hands-On Lab: Generate Database Design with ChatGPT
Hands-on Lab: Get a solution to the given coding problem
Helpful Tips for Successful Course Completion
Cheatsheet: Tokens in Generative AI
Hands-on Lab: OpenAI Account Setup and API Key Generation
Hands-on Lab: Setting up the development environment using Visual Code Studio (Optional)
Managing Legacy Code with Gen AI
[Optional] Setting up your own AI development environment with ChatGPT
Generative AI for Software Development Workflows and its Considerations
Introduction to CI/CD using AI
Generative AI for Security in Software
Popular Generative AI Tools for Security in Software
Generative AI for Software Testing
Integration of Generative AI into Software Development Workflows
Innovation with Generative AI in Software Development
Considerations for Software Development for Generative AI
Ethical Considerations for using Generative AI in Software Development
Module 2 Summary: Advanced concepts in Generative AI for Software Development
Module 2: Advanced concepts in Generative AI for Software Development
Generative AI for DevSecOps and Testing
Generative AI Considerations
Hands-on Lab: Write a Dockerfile for a Node app deployment
Hands-on Lab: Generate test cases for specific use case using Generative AI
Hands-on Lab: Software Documentation Using Generative AI
Hands-on Lab: Code Translation Using Generative AI
Hands-on Lab: Review Code with Generative AI
Discuss – Do you think Generative AI can replace human effort?
Module 2 Cheatsheet: Generative AI for DevSecOps and Testing
Final Project and Final Exam
Generative AI: Elevate your Software Development Career at Coursera Admission Process
Important Dates
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