Generative AI Tools for Modern Software Engineering

This course is part of Generative AI for Software Engineers & Developers Specialization

Instructor: Edureka

Access provided by National Research Nuclear University MEPhI

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Navigate and explore codebases using AI tools like Cursor AI, CodeSee, and Sourcegraph efficiently.
Improve code quality with automated reviews, static analysis, and bug detection via AI-powered tools.
Generate, refactor, and debug code quickly using AI assistants like Codeium, Refact AI, and Cody AI.
Enhance security, optimize performance, and boost collaboration with AI-driven development practices.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

12 assignments¹

AI Graded see disclaimer

Taught in English

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Build your subject-matter expertise

This course is part of the Generative AI for Software Engineers & Developers Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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 4 modules in this course

This program offers a structured journey into the transformative world of AI-powered code understanding, quality assurance, and intelligent development workflows. Designed for developers, software engineers, and technical leads, this course empowers you to leverage cutting-edge AI tools for efficient code navigation, review, debugging, security, and optimization.

By the end of this program, you will be able to: - Analyze and explore large codebases quickly with AI tools for faster understanding and onboarding. - Review and evaluate code automatically to ensure high-quality, reliable, and maintainable software. - Create, refactor, and debug code efficiently using intelligent AI-powered assistants. - Secure applications by detecting vulnerabilities, managing dependencies, and enhancing code safety. - Optimize and improve performance with AI-driven profiling, tuning, and resource management tools. This program is ideal for software engineers, AI professionals, and tech leads aiming to enhance their coding workflows with AI. A foundational understanding of programming concepts, version control, and basic software development practices is recommended. Join us to unlock the power of AI in software engineering and transform the way you navigate, build, and maintain code.

This module explores AI-powered tools for code navigation, understanding, and quality improvement. Learners gain hands-on experience with tools like Cursor AI, CodeSee, Sourcegraph, and Qodo to analyze codebases, perform reviews, detect issues early, and enhance software reliability.

What's included

17 videos5 readings3 assignments2 discussion prompts2 plugins

17 videosTotal 94 minutes

Specialization Introduction7 minutes
Course Introduction6 minutes
Introduction to Code Navigation with AI: The Big Picture5 minutes
Deep Dive with Cursor AI: Context-Aware Exploration6 minutes
Demonstration: Cursor AI Installation and Working5 minutes
Demonstration: Building Interactive UI with Cursor AI4 minutes
Code Visualization with CodeSee4 minutes
Code Navigation with Sourcegraph6 minutes
Rewind.ai for Code Tracing and Understanding History5 minutes
AI-Powered Code Review: Introduction to Qodo6 minutes
Automated Testing Using Qodo4 minutes
Qodo: Code Review Workflow3 minutes
Demonstration: Getting Started with Qudo Gen3 minutes
Demonstration: Qodo Gen Chat with WeatherApp Code5 minutes
Code Review with Codepeer6 minutes
Snyk for Static Analysis Detecting Issues Early6 minutes
CodeRabbit - Speed Up Code Reviews & Minimize Bugs6 minutes

5 readingsTotal 75 minutes

Course Overview15 minutes
Foundations of AI-Assisted Code Comprehension15 minutes
Best Practices for Code Search and Query Design15 minutes
Principles of Automated Code Review in AI Systems15 minutes
Module Summary: AI for Code Understanding and Quality15 minutes

3 assignmentsTotal 42 minutes

Knowledge Check: AI for Code Understanding and Quality30 minutes
Practice Quiz: Code Navigation and Understanding with AI6 minutes
Practice Quiz: Code Review and Quality Improvement with AI6 minutes

2 discussion promptsTotal 10 minutes

Introduce Yourself5 minutes
From Static Analysis to Smart Automation5 minutes

2 pluginsTotal 20 minutes

What Do You Already Know about AI for Code Understanding and Quality?10 minutes
Module 1 Checkpoint: Assessing Your Understanding of AI for Code Navigation and Quality10 minutes

This module explores AI-powered code creation and debugging, focusing on intelligent code generation, optimization, and problem-solving. Learners will work with tools like Codeium, Refact AI, Trae, and Cody AI to write efficient code, automate refactoring, and enhance debugging processes. The module also covers ethics, reliability in AI-generated code, and practical techniques for error detection and resolution.

What's included

12 videos3 readings3 assignments2 discussion prompts1 plugin

12 videosTotal 58 minutes

Codeium: Revolutionizing Code Creation with AI3 minutes
Demonstration: Getting Started with Windsurf in VS Code6 minutes
Crafting Better Code: The SONAR Method6 minutes
Refact AI for Smarter Code Optimization4 minutes
Demonstration: Refact AI Setup and Features6 minutes
Exploring Trae: The Adaptive AI IDE3 minutes
Demonstration: Getting Started with Trae AI Builder5 minutes
Introduction to AI-Assisted Debugging: The Approach5 minutes
Identifying and Resolving Errors3 minutes
Replit Code Debugging3 minutes
Demonstration: Creating and Debugging Apps with AI6 minutes
Cursor for Debugging: Stepping Through Code4 minutes

3 readingsTotal 45 minutes

Static Analysis Vs. Dynamic Testing: A Comparative Study15 minutes
Ethics and Reliability in AI-Generated Code15 minutes
Module Summary: AI-Powered Code Creation and Debugging15 minutes

3 assignmentsTotal 42 minutes

Knowledge Check: AI-Powered Code Creation and Debugging30 minutes
Practice Quiz: Code Generation and Assistance with AI6 minutes
Practice Quiz: AI-Driven Debugging and Problem Solving6 minutes

2 discussion promptsTotal 10 minutes

Smarter Development with AI Assistance5 minutes
Enhancing Accuracy or Creating New Risks?5 minutes

1 pluginTotal 10 minutes

Module 2 Checkpoint: Assessing Your Understanding of AI-Powered Code Creation and Debugging10 minutes

This module explores AI-driven secure, optimized, and collaborative development using tools like Snyk, DeepSource, Codacy, CodeAnt, Minware, Grit.io, mabl, and Katalon. It covers vulnerability detection, secure coding, performance optimization, resource management, workflow automation, and enhanced team collaboration with AI.

What's included

15 videos5 readings4 assignments3 discussion prompts1 plugin

15 videosTotal 75 minutes

Introduction to AI and Security: Why It's Important6 minutes
Dependency Scanning with Snyk: Finding Vulnerabilities4 minutes
Demonstration: Snyk Installation and Working3 minutes
Detecting Code Vulnerabilities with DeepSource4 minutes
Customizing Static Analysis with DeepSource4 minutes
AI Tools for Security Awareness Training and Best Practices4 minutes
Codacy AI for Code Performance and Optimization6 minutes
AI-Powered Code Profiling with Codacy5 minutes
Performance Tuning with CodeAnt: Code Improvement4 minutes
Development Tracking with Minware5 minutes
Grit.io: Your Automated Maintenance Partner5 minutes
Mabl Integrating AI into Test Automation5 minutes
Demonstration: Automated Test Creation Using Mabl4 minutes
Resource Planning with Minware6 minutes
Katalon Smart Testing Strategies4 minutes

5 readingsTotal 75 minutes

Secure Coding Practices Enhanced by AI15 minutes
AI-Driven Profiling Techniques for High-Performance Code15 minutes
Workflow Automation in Software Teams: AI's Role in CI/CD15 minutes
AI-Augmented Collaboration: Best Practices for Engineering Teams15 minutes
Module Summary: AI for Secure, Optimized, and Collaborative Development15 minutes

4 assignmentsTotal 48 minutes

Knowledge Check: AI for Secure, Optimized, and Collaborative Development30 minutes
Practice Quiz: AI for Security and Dependency Management6 minutes
Practice Quiz: Performance Optimization and Resource Management with AI6 minutes
Practice Quiz: AI for Automation and Team Collaboration6 minutes

3 discussion promptsTotal 15 minutes

Building a Security-First Mindset with AI Assistance5 minutes
Smarter Resource Allocation with AI5 minutes
Balancing Automation and Human Oversight5 minutes

1 pluginTotal 10 minutes

Module 3 Checkpoint: Assessing Your Understanding of AI for Secure, Optimized, and Collaborative Development10 minutes

This module is designed to assess an individual on the various concepts and teachings covered in this course. Evaluate your knowledge with a comprehensive graded quiz.