Generative AI for Software Engineers
Master generative AI to revolutionize your software engineering workflow: from code generation and testing to security and documentation.
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Fundamentals of Generative AI for Code
Unit 1: Generative AI Core Concepts
Intro to Generative AI
LLMs: The Basics
Diffusion Models Explained
GenAI for Software Eng
Prompt Engineering Intro
Unit 2: GenAI Tools and Frameworks
Intro to Code LLMs
CodeGen Overview
GitHub Copilot Deep Dive
Overview of AlphaCode
Other GenAI Tools
Unit 3: Setting Up Your Environment
Python for GenAI
Accessing APIs
Setting Up VS Code
Working with Datasets
Cloud Environment Setup
Code Generation and Completion with LLMs
Unit 1: Leveraging Pre-trained LLMs for Code
Intro to Code LLMs
Setting Up Your Env
Basic Code Generation
Code Completion
Handling Errors
Unit 2: Fine-Tuning LLMs for Code Tasks
Intro to Fine-Tuning
Preparing Your Data
Fine-Tuning Process
Evaluating Performance
Practical Tips
Unit 3: Evaluating Code Generated by LLMs
Eval Metrics
Code Coverage
Bug Detection
Coding Standards
Manual Review
Automated Testing, Documentation, and Security
Unit 1: GenAI for Automated Testing
Intro to GenAI Testing
Unit Test Generation
Integration Test Gen
System Test Generation
Test Case Optimization
Unit 2: GenAI for Documentation
Intro to GenAI Docs
API Doc Generation
User Manual Generation
Code Comment Generation
Doc Style Consistency
Unit 3: GenAI for Security
Intro to GenAI Security
SQL Injection Detection
XSS Detection
Vulnerability Report Gen
Security Best Practices
Advanced Applications and Ethical Considerations
Unit 1: Code Summarization and Explanation
Intro to Code Summarization
LLMs for Summarization
Fine-Tuning for Summaries
Code Explanation
Explanation Tools
Unit 2: Cross-Language Code Generation
Intro to Polyglot Code
From Spec to Code
Prompt Engineering
Frameworks for Polyglot
Real-World Polyglot
Unit 3: IDE Integration and Workflow Enhancement
GenAI in Your IDE
VS Code Integration
IntelliJ Integration
Workflow Automation
Custom Tooling
Unit 4: Ethical Considerations and Bias Mitigation
Ethics in GenAI
Bias Detection
Mitigation Strategies
Privacy Concerns
Responsible AI