Generative AI: Elevate your Software Development Career

Generative AI: Elevate your Software Development Career

This course is part of multiple programs.

Instructors: Rav Ahuja

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

Details to know

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Assessments

7 assignments

Taught in English

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There are 3 modules in this course

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. Enroll today to get the most out of AI for developing software and boost your career!

In this module, you will learn how AI impacts software development. Lesson 1 helps you understand how to leverage AI for the software development lifecycle using various tools and algorithms and set up a development environment for AI and ChatGPT. You will also learn about LLMs, transformers, and NLP and use them to create a chatbot. In lesson 2, you will explore the best practices and design patterns using AI for technical help and software architecture. You will learn how AI helps with code generation, bug detection, and troubleshooting and list the useful AI prompts for software development. This lesson will also teach you to leverage AI to generate static websites and architecture diagrams.

What's included

11 videos2 readings3 assignments4 app items9 plugins

11 videosTotal 67 minutes

Course Introduction3 minutesPreview module
Introduction to Generative AI in Software Development6 minutes
Leveraging Generative AI in Software Development Lifecycle6 minutes
Large Language Models (LLM) and Transformers7 minutes
Natural Language Processing (NLP) and its Significance7 minutes
Leveraging AI for Technical Help and Best Practices on Design Patterns and Architecture7 minutes
AI for Coding and Development6 minutes
Demo: GitHub CoPilot for Code Generation and Troubleshooting4 minutes
Generating Static Website using Generative AI 7 minutes
Demo: Generating Prototypes with Generative AI6 minutes
Demo: Generating Diagram using Generative AI4 minutes

2 readingsTotal 12 minutes

Course Syllabus & Prerequisites10 minutes
Module 1 Summary : Generative AI and Software Development2 minutes

3 assignmentsTotal 60 minutes

Module 1: Generative AI and Software Development30 minutes
Software Development and Generative AI 15 minutes
Generative AI for Software Coding and Architecture15 minutes

4 app itemsTotal 105 minutes

Hands-on Lab: Building a Basic Chatbot using ChatGPT30 minutes
Hands-on Lab: Get familiar with Generative AI Classroom20 minutes
Hands-On Lab: Generate Database Design with ChatGPT15 minutes
Hands-on Lab: Get a Solution to the given Coding Problem40 minutes

9 pluginsTotal 218 minutes

Helpful Tips for Successful Course Completion3 minutes
Popular Tools of Generative AI for Software Development 30 minutes
Reading: Tokens in Generative AI30 minutes
Hands-on Lab: OpenAI Account Setup and API Key Generation30 minutes
Hands-on Lab: Setting up the Development Environment using Visual Code Studio [Optional]30 minutes
Generating Architecture and Design Diagrams using Generative AI 15 minutes
Managing Legacy Code with Gen AI15 minutes
Useful prompts for software design and development20 minutes
[Optional] Setting up your own AI development environment with ChatGPT45 minutes

In this module, you will learn how to use AI for DevSecOps, software testing, and Generative AI considerations. Lesson 1 introduces you to the nuances of using AI for CI/CD and software security using AI tools. You will learn how to generate test cases for specific use cases using AI. You will also understand the integration of AI into software development workflows. In lesson 2, you will explore the ethical considerations for software development in AI and innovation with Generation AI. You will explore some of the useful prompts for software testing and DevOps.

What's included

6 videos3 readings3 assignments5 app items1 discussion prompt1 plugin

6 videosTotal 43 minutes

Introduction to CI/CD using AI6 minutesPreview module
Generative AI for Security in Software7 minutes
Popular Generative AI Tools for Security in Software 7 minutes
Generative AI for Software Testing7 minutes
Integration of Generative AI into Software Development Workflows 7 minutes
Innovation with Generative AI in Software Development6 minutes

3 readingsTotal 12 minutes

Considerations for Software Development for Generative AI 6 minutes
Ethical Considerations for using Generative AI in Software Development4 minutes
Module 2 Summary: Advanced concepts in Generative AI for Software Development 2 minutes

3 assignmentsTotal 60 minutes

Module 2: Advanced concepts in Generative AI for Software Development 30 minutes
Generative AI for DevSecOps and Testing 15 minutes
Generative AI Considerations 15 minutes

5 app itemsTotal 145 minutes

Hands-on Lab: Write a Dockerfile for a Node App Deployment25 minutes
Hands-on Lab: Generate Test-cases for Specific Use-case using Generative AI30 minutes
Hands-on Lab: Software Documentation Using Generative AI30 minutes
Hands-on Lab: Code Translation Using Generative AI30 minutes
Hands-on Lab: Review Code with Generative AI30 minutes

1 discussion promptTotal 10 minutes

Discuss – Do you Think Generative AI can Replace Human Effort? 10 minutes

1 pluginTotal 30 minutes

Module 2 Cheatsheet: Generative AI for DevSecOps and Testing30 minutes

In this module, you will complete a final project where you will have an opportunity to demonstrate your proficiency in building personalized learning for developers. Next, the final exam will test your knowledge of the course’s content including the essential concepts and their application.